Mobile QR Code QR CODE

Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
  • Indexed by
  • Korea Citation Index (KCI)

  1. ์ •ํšŒ์›, ์„œ์šธ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™๊ต ์ฃผํƒ๋„์‹œ๋Œ€ํ•™์› ๊ฑด์ถ•๊ณตํ•™๊ณผ ์„์‚ฌ๊ณผ์ •
  2. ์ •ํšŒ์›, ์„œ์šธ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™๊ต ๊ฑด์ถ•๊ณตํ•™๊ณผ ๊ต์ˆ˜, ๊ต์‹ ์ €์ž



Aged Concrete, Combined NDT method, Strength estimation model, Age-correction, Coefficient of variation (COV), Root mean square error (RMSE)
๋…ธํ›„ ์ฝ˜ํฌ๋ฆฌํŠธ, ๋ณตํ•ฉ ๋น„ํŒŒ๊ดด ์‹œํ—˜๋ฒ•, ๊ฐ•๋„ ์ถ”์ • ๋ชจ๋ธ, ์žฌ๋ น ๋ณด์ •, ๋ณ€๋™๊ณ„์ˆ˜(COV), ํ‰๊ท ์ œ๊ณฑ๊ทผ์˜ค์ฐจ(RMSE)

1. ์„œ ๋ก 

์ฒ ๊ทผ์ฝ˜ํฌ๋ฆฌํŠธ์กฐ ์‹œ์„ค๋ฌผ์˜ ๊ตฌ์กฐ์•ˆ์ „์„ฑ์„ ๊ฒฐ์ •ํ•˜๋Š” ๊ฐ€์žฅ ํ•ต์‹ฌ์ ์ธ ์š”์†Œ๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ์••์ถ•๊ฐ•๋„์ด๋‹ค. ๊ตฌ์กฐ์ฒด์˜ ๊ฐ•๋„๋ฅผ ์ง์ ‘ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ฝ”์–ด ์ฑ„์ทจ์— ์˜ํ•œ ํŒŒ๊ดด์‹œํ—˜์ด ๊ฐ€์žฅ ์ •ํ™•ํ•œ ๋ฐฉ๋ฒ•์ด๋‚˜, ๊ตฌ์กฐ๋ฌผ์˜ ์†์ƒ, ์‹œ๊ฐ„ ๋ฐ ๋น„์šฉ ์ธก๋ฉด์—์„œ ์ œ์•ฝ์ด ํฌ๊ธฐ ๋•Œ๋ฌธ์— ๋น„ํŒŒ๊ดด์‹œํ—˜ ๋ฐฉ๋ฒ•์ด ๋„๋ฆฌ ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๋Œ€ํ‘œ์ ์ธ ๋น„ํŒŒ๊ดด์‹œํ—˜๋ฒ•(NDT)์ธ ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•(Rebound Hammer)์€ ์ฝ˜ํฌ๋ฆฌํŠธ ํ‘œ๋ฉด ๊ฒฝ๋„๋ฅผ ์ธก์ •ํ•˜์—ฌ ์••์ถ•๊ฐ•๋„๋ฅผ ๊ฐ„์ ‘ ์ถ”์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์ด๋ฉฐ, ์ดˆ์ŒํŒŒ์†๋„๋ฒ•(Ultrasonic Pulse Velocity, UPV)์€ ์ดˆ์ŒํŒŒ์˜ ์ „๋‹ฌ ์†๋„๋ฅผ ์ธก์ •ํ•˜์—ฌ ๋‚ด๋ถ€ ํ’ˆ์งˆ์„ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐฉ๋ฒ•์ด๋‹ค.

์ด ์ค‘ ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•์€ ํƒ„์‚ฐํ™”์— ์˜ํ•ด ํ‘œ๋ฉด์ธต์ด ๊ฒฝํ™”๋˜๋ฉด ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์ด ์‹ค์ œ ๊ฐ•๋„๋ณด๋‹ค ์ตœ๋Œ€ 50%๊นŒ์ง€ ๊ณผ๋Œ€ํ‰๊ฐ€๋  ์ˆ˜ ์žˆ์–ด, ๋…ธํ›„ํ™”๋œ ๊ตฌ์กฐ๋ฌผ์—์„œ์˜ ์‹ ๋ขฐ๋„๊ฐ€ ํ˜„์ €ํžˆ ์ €ํ•˜๋œ๋‹ค. Kocรกb et al.(2019)์€ ํƒ„์‚ฐํ™” ๊นŠ์ด๊ฐ€ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’๊ณผ ์••์ถ•๊ฐ•๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ์„œ๋กœ ๋‹ค๋ฅด๋ฉฐ, ๋™์ผํ•œ ์˜์กด๊ด€๊ณ„๊ฐ€ ํƒ„์‚ฐํ™” ์ •๋„๊ฐ€ ๋‹ค๋ฅธ ์ฝ˜ํฌ๋ฆฌํŠธ์— ์ ์šฉ๋  ์ˆ˜ ์—†์Œ์„ ์ง€์ ํ•˜์˜€๋‹ค. Szilรกgyi et al.(2015)์€ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์„ ์‹œ๊ฐ„ ์˜์กด์  ํŠน์„ฑ์œผ๋กœ ๋ชจ๋ธ๋งํ•œ SBZ ๋ชจ๋ธ์„ ์ œ์•ˆํ•˜๋ฉฐ, ๊ธฐ์กด ๋ฌธํ—Œ๋“ค์ด ํ‘œ๋ฉด ๊ฒฝ๋„๋ฅผ ์žฌ๋ น ์˜์กด์  ํŠน์„ฑ์œผ๋กœ ์ดํ•ดํ•˜์ง€ ๋ชปํ•œ ํ•œ๊ณ„๋ฅผ ์ง€์ ํ•œ ๋ฐ” ์žˆ๋‹ค.

์ดˆ์ŒํŒŒ์†๋„๋ฒ•(UPV) ์—ญ์‹œ ์ฝ˜ํฌ๋ฆฌํŠธ ๊ฐ•๋„ ์ถ”์ •์— ์žˆ์–ด ์—ฌ๋Ÿฌ ํ•œ๊ณ„๋ฅผ ๊ฐ€์ง„๋‹ค. UPV๋Š” ๊ณจ์žฌ ํŠน์„ฑ์˜ ์˜ํ–ฅ์ด ๋งค์šฐ ํฌ๋‹ค. Al-Bayati(2018)๋Š” ๊ธฐ์กด UPV ์ถ”์ •์‹ ๋Œ€๋ถ€๋ถ„์ด ๊ณจ์žฌ ์ข…๋ฅ˜, ๋ฐฐํ•ฉ, ์žฌ๋ น ๋“ฑ ๊ธฐ๊ณ„์  ํŠน์„ฑ์„ ๊ณ ๋ คํ•˜์ง€ ์•Š๊ณ  ๋น„ํŒŒ๊ดด ์ธก์ • ๊ฐ’๋งŒ์— ์˜์กดํ•˜์—ฌ ์ถ”์ • ์‹ ๋ขฐ๋„๊ฐ€ ๋‚ฎ์Œ์„ ์ง€์ ํ•˜์˜€๋‹ค. ๋˜ํ•œ Kencanawati et al.(2021)์€ ์†์ƒ๋œ ์ฝ˜ํฌ๋ฆฌํŠธ์—์„œ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’๊ณผ UPV์˜ ์ธก์ • ์ •ํ™•๋„๊ฐ€ ์ €ํ•˜๋จ์„ ์‹คํ—˜์ ์œผ๋กœ ํ™•์ธํ•˜์˜€๋‹ค.

์ด๋Ÿฌํ•œ ๋‹จ์ผ ๋น„ํŒŒ๊ดด์‹œํ—˜๋ฒ•์˜ ํ•œ๊ณ„๋ฅผ ๋ณด์™„ํ•˜๊ธฐ ์œ„ํ•ด ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•๊ณผ ์ดˆ์ŒํŒŒ์†๋„๋ฒ•์„ ๊ฒฐํ•ฉํ•œ ๋ณตํ•ฉ๋ฒ•์ด RILEM ๊ธฐ์ˆ ์œ„์›ํšŒ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๊ฐœ๋ฐœ๋˜์–ด ์™”๋‹ค(RILEM, 1980). ๋ณตํ•ฉ๋ฒ•์€ ๋‘ ๋ฐฉ๋ฒ•์˜ ๋‹จ์ ์„ ์ƒํ˜ธ ๋ณด์™„ํ•˜๋Š” ์ด์ ์ด ์žˆ์–ด - ์˜ˆ๋ฅผ ๋“ค์–ด ํ•จ์ˆ˜๋Ÿ‰ ์ฆ๊ฐ€๋Š” UPV๋ฅผ ์ฆ๊ฐ€์‹œํ‚ค๋‚˜ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์„ ๊ฐ์†Œ์‹œํ‚ค๋Š” ๋ฐ˜๋Œ€ ํšจ๊ณผ - ๋‹จ์ผ๋ฒ•๋ณด๋‹ค ์ถ”์ • ์‹ ๋ขฐ๋„๊ฐ€ ํ–ฅ์ƒ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๋˜์—ˆ๋‹ค. ๋ฐ˜๋ฉด, Kouddane et al.(2022)์€ SonReb๋ฒ•์˜ ํšจ์œจ์„ฑ์— ๋Œ€ํ•ด ํ•™๊ณ„์˜ ํ•ฉ์˜๊ฐ€ ์•„์ง ์—†์œผ๋ฉฐ, ์ผ๋ถ€ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹จ์ผ๋ฒ• ๋Œ€๋น„ ์œ ์˜ํ•œ ๊ฐœ์„ ์ด ์—†์—ˆ๋‹ค๊ณ  ๋ณด๊ณ ํ•จ์„ ์ง€์ ํ•˜์˜€๋‹ค. ์ด์™€ ์ผ๋งฅ์ƒํ†ตํ•˜๊ฒŒ Vona(2022)๋Š” ๊ธฐ์กด ๊ฒฝํ—˜์  ๋ฐฉ๋ฒ•๋“ค์ด ๊ธฐ์กด ๊ตฌ์กฐ๋ฌผ์˜ ์ฝ˜ํฌ๋ฆฌํŠธ ๊ฐ•๋„์™€ ๊ทธ ๋ณ€๋™์„ฑ์„ ์‹ ๋ขฐ์„ฑ ์žˆ๊ฒŒ ํ‰๊ฐ€ํ•˜์ง€ ๋ชปํ•œ๋‹ค๊ณ  ๊ฒฐ๋ก ์ง€์—ˆ์œผ๋ฉฐ, ํŠนํžˆ ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•์€ ์••์ถ•๊ฐ•๋„๋ฅผ ๋Œ€๋ณ€ํ•˜์ง€ ๋ชปํ•˜๋ฏ€๋กœ ์ œ์™ธ๋˜์–ด์•ผ ํ•œ๋‹ค๊ณ  ์ฃผ์žฅํ•˜์˜€๋‹ค.

๊ตญ๋‚ด ํ™˜๊ฒฝ์  ํŠน์„ฑ์„ ๊ณ ๋ คํ•œ๋‹ค๋ฉด 1990๋…„๋Œ€ ์ด์ „ ์ค€๊ณต๋œ ๊ตฌ์กฐ๋ฌผ์€ ๊ฐ•์ž๊ฐˆ ๋ฐ ๊ฐ•์ž๊ฐˆ+์‡„์„ ํ˜ผ์šฉ ๊ณจ์žฌ๊ฐ€ ์‚ฌ์šฉ๋˜์—ˆ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ๊ณจ์žฌ ํŠน์„ฑ์˜ ๋ณ€ํ™”๊ฐ€ ๊ธฐ์กด ์™ธ๊ตญ ์ถ”์ •์‹์˜ ์ ์šฉ์„ฑ์„ ์ œํ•œํ•˜๋Š” ์ฃผ์š” ์š”์ธ์œผ๋กœ ์ž‘์šฉํ•œ๋‹ค. ๊ธฐ์กด SonReb ๋ณด์ •๊ณ„์ˆ˜๋Š” ์‹œ๋ฉ˜ํŠธ ์ข…๋ฅ˜, ์‹œ๋ฉ˜ํŠธ๋Ÿ‰, ๊ณจ์žฌ ์•”์ข…, ์ž”๊ณจ์žฌ์œจ, ์ตœ๋Œ€๊ณจ์žฌ ํฌ๊ธฐ ๋“ฑ์„ ๊ณ ๋ คํ•˜๋‚˜, ๊ตญ๋‚ด ์กฐ๊ฑด(๊ณจ์žฌ ์ข…๋ฅ˜ ๋ณ€ํ™”, ์žฌ๋ น ๋ถ„ํฌ, ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„ ์ˆ˜์ค€)์„ ๋ฐ˜์˜ํ•œ ์ถ”์ •์‹์€ ์—ฌ์ „ํžˆ ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ์ตœ๊ทผ์— ์ด๋ฅด๋Ÿฌ ๊ตญ๋‚ด ๊ณ ์œ ์˜ ํ™˜๊ฒฝ์  ๋…ธ์ถœ ์กฐ๊ฑด์ด ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ์‹ค์ œ ์••์ถ•๊ฐ•๋„์™€ ์ดˆ์ŒํŒŒ์†๋„ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋ฏธ์น˜๋Š” ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ์‹คํ—˜์ ์œผ๋กœ ๊ฒ€ํ† (Lee and Lee, 2024)์™€ ๋ฐ˜๋ฐœ๊ฒฝ๋„์™€ ์ดˆ์ŒํŒŒ์†๋„ ์ธก์ •๊ฐ’์„ ๊ฒฐํ•ฉํ•˜์—ฌ ๊ตญ๋‚ด ๊ธฐ์กด ๊ฑด์ถ•๋ฌผ ํ˜„์žฅ์— ์ตœ์ ํ™”๋œ ์‹ ๋ขฐ์„ฑ ์žˆ๋Š” ์••์ถ•๊ฐ•๋„ ๋ณตํ•ฉ ์ถ”์ •์‹ ๋„์ถœ(Park and Choi, 2025) ๋“ฑ ์ตœ์‹  ์—ฐ๊ตฌ๋“ค์ด ๋‹ค๊ฐ๋„๋กœ ์ˆ˜ํ–‰๋˜์–ด ์™”๋‹ค. ๋‹ค๋งŒ, ์ด๋Ÿฌํ•œ ์ตœ๊ทผ ์—ฐ๊ตฌ๋“ค ์—ญ์‹œ ํŠน์ • ์žฌ๋ น ๊ตฌ๊ฐ„์— ์ง‘์ค‘๋˜์–ด ์žˆ๊ฑฐ๋‚˜ ๋Œ€๊ทœ๋ชจ ๊ฑด์ถ•๋ฌผ(์—ฐ๋ฉด์  30,000ใŽก ์ด์ƒ)์˜ ํ˜„์žฅ ์ง„๋‹จ ๋ฐ์ดํ„ฐ๋ฅผ ํฌ๊ด„์ ์œผ๋กœ ๋ฐ˜์˜ํ•˜๊ธฐ์—๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค.

ํ˜„์žฌ ์ •๋ฐ€์•ˆ์ „์ง„๋‹จ ๋Œ€์ƒ์ด ๋˜๋Š” ๊ณ ๋ นํ™” ์‹œ์„ค๋ฌผ์˜ ์ ˆ๋Œ€ ๋‹ค์ˆ˜๊ฐ€ ์žฅ๊ธฐ ๊ณต์šฉ์œผ๋กœ ๋…ธํ›„ํ™”๋œ ์ฒ ๊ทผ์ฝ˜ํฌ๋ฆฌํŠธ ๊ตฌ์กฐ์ฒด์ž„์„ ๊ฐ์•ˆํ•  ๋•Œ, ์‹ค๋ฌด ํ˜„์žฅ์—์„œ ์ง€๋ฐฐ์ ์œผ๋กœ ํ™œ์šฉ๋˜๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ๊ฐ•๋„ ํ‰๊ฐ€ ๊ธฐ๋ฒ•(๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•, ์ดˆ์ŒํŒŒ์†๋„๋ฒ•, ๋ณตํ•ฉ๋ฒ•)์˜ ์žฌ๋ น ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ๋ฌผ๋ฆฌ์  ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ทœ๋ช…ํ•˜๋Š” ์—ฐ๊ตฌ๋Š” ๊ตฌ์กฐ๋ฌผ์˜ ์•ˆ์ „์ง„๋‹จ์˜ ์ •๋ฐ€๋„ ํ–ฅ์ƒ์„ ์œ„ํ•ด ํ•„์ˆ˜๋‹ค. ์ด๋Ÿฌํ•œ ์ง„๋‹จ ํ™˜๊ฒฝ ์š”๊ตฌ์— ๋ถ€์‘ํ•˜์—ฌ ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ตญ๋‚ด์˜ ๋ณตํ•ฉ์ ์ธ ์‹œ๊ณต ๋ฐ ์žฌ๋ฃŒ์  ํ™˜๊ฒฝ ์กฐ๊ฑด์— ์ตœ์ ํ™”๋œ ๊ฒฝํ—˜์  ๋ณตํ•ฉ ๋น„ํŒŒ๊ดด ๊ฐ•๋„ ์ถ”์ •์‹์„ ๋„์ถœํ•˜์—ฌ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ํ˜„์žฅ ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ์••์ถ•๊ฐ•๋„๋ฅผ ํ‰๊ฐ€ํ•  ๋•Œ ์˜ค์ฐจ๋ฅผ ์ตœ์†Œํ™”ํ•˜๊ณ  ๊ณ„์ธก์˜ ํšจ์œจ์„ฑ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ๊ทน๋Œ€ํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์œ ๊ธฐ์ ์ธ ์‹ค๋ฌด ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค.

2. ํ‰๊ฐ€๋Œ€์ƒ ๊ฑด์ถ•๋ฌผ์˜ ํ˜„ํ™ฉ

ํ‰๊ฐ€๋Œ€์ƒ ๊ฑด์ถ•๋ฌผ ํ˜„ํ™ฉ๊ณผ ๋ฐ์ดํ„ฐ์˜ ํ†ต๊ณ„์  ํŠน์„ฑ์„ ์ œ์‹œํ•˜๊ธฐ ์œ„ํ•ด ์‹ค์‹œํ•œ 395๊ฐœ์˜ ๋ฐ์ดํ„ฐ๋Š” ๏ฝข์‹œ์„ค๋ฌผ์˜ ์•ˆ์ „ ๋ฐ ์œ ์ง€๊ด€๋ฆฌ์— ๊ด€ํ•œ ํŠน๋ณ„๋ฒ•๏ฝฃ์— ๊ทผ๊ฑฐํ•˜์—ฌ ๋“ฑ๋ก๋œ ์•ˆ์ „์ง„๋‹จ์ „๋ฌธ๊ธฐ๊ด€์ด ์ˆ˜ํ–‰ํ•œ ์ •๋ฐ€์•ˆ์ „์ง„๋‹จ ๊ณผ์ •์—์„œ ํ˜„์žฅ ๋น„ํŒŒ๊ดด๊ฒ€์‚ฌ(๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•, ์ดˆ์ŒํŒŒ์†๋„๋ฒ•)๋ฅผ ํ†ตํ•ด ์ธก์ •๋œ ๋ฐ์ดํ„ฐ์ด๋‹ค. ์กฐ์‚ฌ ๋ฐฉ๋ฒ•์€ ๊ตญํ† ์•ˆ์ „๊ด€๋ฆฌ์›์˜ ๏ฝข์‹œ์„ค๋ฌผ์˜ ์•ˆ์ „ ๋ฐ ์œ ์ง€๊ด€๋ฆฌ ์‹ค์‹œ์— ๊ด€ํ•œ ์„ธ๋ถ€์ง€์นจ๏ฝฃ(KALIS, 2026)์— ๋”ฐ๋ผ ์ˆ˜ํ–‰ํ•˜์˜€์œผ๋ฉฐ, ๋™์ผ ์œ„์น˜์—์„œ ๋ฐ˜๋ฐœ๊ฒฝ๋„์™€ ์ดˆ์ŒํŒŒ์†๋„๋ฅผ ์ทจ๋“ํ•˜์˜€๋‹ค.

ํ‰๊ฐ€๋Œ€์ƒ ๊ฑด์ถ•๋ฌผ์€ ๊ตญ๋‚ด ์ˆ˜๋„๊ถŒ ์ผ๋Œ€์˜ ์—…๋ฌด์‹œ์„ค, ๊ต์œก์‹œ์„ค, ํŒ๋งค์‹œ์„ค, ๊ณต์žฅ ๋“ฑ์ด๋ฉฐ, ํ•ด์•ˆ ๋ฐ ๊ฐ•์— ๊ทผ์ ‘ํ•˜์ง€ ์•Š์•„ ์—ผํ™”๋ฌผ์˜ ์˜ํ–ฅ์€ ์ œ์™ธํ•˜์˜€๋‹ค. ๏ฝข์‹œ์„ค๋ฌผ์˜ ์•ˆ์ „ ๋ฐ ์œ ์ง€๊ด€๋ฆฌ ํŠน๋ณ„๋ฒ•๏ฝฃ ๋Œ€์ƒ ์‹œ์„ค๋ฌผ(1, 2์ข…)๋กœ ์—ฐ๋ฉด์  30,000โˆผ50,000ใŽก ์ด์ƒ์˜ ๋Œ€ํ˜• ๊ฑด์ถ•๋ฌผ๋กœ ๊ตฌ์กฐํ˜•์‹์€ ์ฒ ๊ทผ์ฝ˜ํฌ๋ฆฌํŠธ์กฐ์™€ ์ฒ ๊ณจโ‹…์ฒ ๊ทผ์ฝ˜ํฌ๋ฆฌํŠธ์กฐ๋กœ ์‹œ๊ณต๋˜์–ด์žˆ๋‹ค. ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๋Š” 21MPa, 24MPa๋กœ Table 1์— ํ‰๊ฐ€๋Œ€์ƒ ๊ฑด์ถ•๋ฌผ์˜ ์ œ์›์„ ์ •๋ฆฌํ•˜์˜€๋‹ค.

Table 1 Structural parameters and environmental conditions of the investigated buildings

Item / Parameter

Description / Details

Target Facilities

Office, educational/research, commercial (retail), and industrial (factory) buildings in the Seoul Metropolitan Area, South Korea

Legal Basis

Class 1 and Class 2 facilities under the โ€œSpecial Act on the Safety and Maintenance of Facilitiesโ€

Gross Floor Area (GFA)

โ‰ฅ 30,000โˆผ50,000 ใŽก

Structural Type

Reinforced Concrete (RC), Steel Reinforced Concrete (SRC)

Design Compressive Strength (fck)

21 MPa, 24 MPa

Structure Age

7 to 50 years (Year of completion: 1975โ€“2018)

Environmental Conditions

Inland areas (excluding areas adjacent to coasts and rivers to eliminate chloride-induced effects)

Number of Data Points

395 (after outlier removal)

Data Source

Field non-destructive testing (NDT) results from detailed safety inspections performed by specialized safety inspection agencies

Fig. 1์€ ๋ฐ์ดํ„ฐ์˜ ์žฌ๋ น ๋ถ„ํฌ๋กœ ๊ฐ€์žฅ ์˜ค๋ž˜๋œ ๊ฑด์ถ•๋ฌผ์€ 1975๋…„์— ์ค€๊ณตํ•œ ์žฌ๋ น 50๋…„์ด๊ณ , ์žฌ๋ น 27โˆผ36๋…„์ด ์•ฝ 60.76%๋ฅผ ์ฐจ์ง€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” 1990โˆผ2000๋…„๋Œ€์— ์ค€๊ณต๋œ ๊ฑด์ถ•๋ฌผ์ด ๋ฐ์ดํ„ฐ ์ „์ฒด์˜ ์•ฝ 68.86%๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ•œ ๋ฐ์ดํ„ฐ ๋ถ„ํฌ๋Š” Fig. 2์— ์ œ์‹œํ•œ ๋ฐ”์™€ ๊ฐ™์ด 24MPa์˜ ๋ฐ์ดํ„ฐ๊ฐ€ 71.9%๋กœ ๋ถ„์„๋˜์–ด ๋ณธ ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๋ถ„์„ ๋Œ€์ƒ์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋‹ค.

Fig. 1 Relative frequency of the age distribution of the surveyed buildings

../../Resources/ksm/jksmi.2026.30.4.38/fig1.png

Fig. 2 Relative frequency of the specified compressive strength of the surveyed building

../../Resources/ksm/jksmi.2026.30.4.38/fig2.png

ํ†ต๊ณ„์  ํŠน์„ฑ์œผ๋กœ ์ˆ˜์ง‘๋œ 395๊ฐœ์˜ ๋ฐ์ดํ„ฐ๋Š” ๋ฐ˜๋ฐœ๊ฒฝ๋„์™€ ์ดˆ์ŒํŒŒ์†๋„๋ผ๋Š” ์„œ๋กœ ๋‹ค๋ฅธ ๋ฌผ๋ฆฌ๋Ÿ‰์œผ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ๋‹ค. ์ธก์ • ๋ฐ์ดํ„ฐ์˜ ์‹ ๋ขฐ์„ฑ์„ ์ œ๊ณ ํ•˜๊ธฐ ์œ„ํ•ด ๋ฐ์ดํ„ฐ์˜ ํ†ต๊ณ„์  ๋ถ„ํฌ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ํ˜„์žฅ ์กฐ์‚ฌ ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ตญ๋ถ€์  ์š”์ธ(ํ‘œ๋ฉด ์š”์ฒ , ์ด๋ฌผ์งˆ, ์ฒ ๊ทผ ๊ทผ์ ‘ ๋“ฑ)์— ์˜ํ•œ ๋ฐ์ดํ„ฐ ํŽธํ–ฅ์„ฑ์„ ์ตœ์†Œํ™”ํ•˜๊ณ ์ž, 3-Sigma Rule์„ ์ ์šฉํ•˜์—ฌ ์ด์ƒ์น˜(Outlier)๋ฅผ ์ œ๊ฑฐํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ๋Š” ์ „์ฒด ๋ฐ์ดํ„ฐ์˜ ํ‰๊ท ($\mu$)์„ ๊ธฐ์ค€์œผ๋กœ ํ‘œ์ค€ํŽธ์ฐจ($\sigma$)์˜ 3๋ฐฐ($|x - \mu| > 3\sigma$)๋ฅผ ๋ฒ—์–ด๋‚˜๋Š” ๊ทน๋‹จ๊ฐ’์„ ์‹๋ณ„ํ•˜์—ฌ ์ œ๊ฑฐํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋ฐ์ดํ„ฐ์˜ ๋ถ„ํฌ๊ฐ€ ์ •๊ทœ๋ถ„ํฌ(Normal Distribution)์— ๊ทผ์ ‘ํ•˜๋„๋ก ํ†ต๊ณ„์  ์ •๊ทœ์„ฑ์„ ํ™•๋ณดํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์ •์ œ ๊ณผ์ •์„ ํ†ตํ•ด ํ™•๋ณด๋œ 395๊ฐœ์˜ ์œ ํšจ ๋ฐ์ดํ„ฐ๋Š” ํ†ต๊ณ„์  ํŽธํ–ฅ์ด ์ œ๊ฑฐ๋œ ํ‘œ๋ณธ์œผ๋กœ, ์ดํ›„ ์ง„ํ–‰๋˜๋Š” ํšŒ๊ท€๋ถ„์„ ๋ฐ ๊ฐ•๋„ ์ถ”์ • ๋ชจ๋ธ์˜ ์‹ ๋ขฐ๋„๋ฅผ ํ™•๋ณดํ•˜๋Š” ํ•ต์‹ฌ ๊ธฐ์ดˆ ์ž๋ฃŒ๊ฐ€ ๋œ๋‹ค. ๋˜ํ•œ, ์ˆ˜์ง‘๋œ ํ‘œ๋ณธ์˜ ๊ธฐ์ˆ ํ†ต๊ณ„๋Ÿ‰(ํ‰๊ท , ํ‘œ์ค€ํŽธ์ฐจ, ๋ณ€๋™๊ณ„์ˆ˜, ํ‰๊ท ์ œ๊ณฑ๊ทผ์˜ค์ฐจ)์„ ๋ถ„์„ํ•˜์—ฌ ๊ตญ๋‚ด ๊ฑด์ถ•๋ฌผ ํ˜„์žฅ์˜ ๊ฐ•๋„ ๋ถ„ํฌ ํŠน์„ฑ์„ ๊ฐ๊ด€์ ์œผ๋กœ ๋ฐ˜์˜ํ•˜์˜€๋‹ค.

3. ํ˜„์žฅ ๋น„ํŒŒ๊ดด๊ฐ•๋„ ์กฐ์‚ฌ

3.1 ํ˜„์žฅ์ฝ˜ํฌ๋ฆฌํŠธ ๊ฐ•๋„ ์กฐ์‚ฌ ๋ฐฉ๋ฒ•

์ฝ˜ํฌ๋ฆฌํŠธ ๊ตฌ์กฐ๋ฌผ์˜ ๊ฐ•๋„ ์ถ”์ • ์‹œ ์ฝ”์–ด ์ฑ„์ทจ๋ฒ•์ด ๊ฐ€์žฅ ๋†’์€ ์‹ ๋ขฐ๋„๋ฅผ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ์œผ๋‚˜, ํ˜„์žฅ ์—ฌ๊ฑด์ด๋‚˜ ๋ถ€์žฌ์˜ ์ค‘์š”๋„์— ๋”ฐ๋ฅธ ํŒŒ๊ดด์‹œํ—˜์˜ ์ œ์•ฝ์œผ๋กœ ์ธํ•ด ์‹ค๋ฌด์—์„œ๋Š” ์ฃผ๋กœ ๋น„ํŒŒ๊ดด๊ฒ€์‚ฌ(NDT)๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ฐ•๋„๋ฅผ ์ถ”์ •ํ•œ๋‹ค. ๋ฌธ์ œ๋Š” ํ˜„์žฅ์—์„œ ๋…ธํ›„ํ™”๋œ ์‹œ์„ค๋ฌผ์„ ๋Œ€์ƒ์œผ๋กœ ๋น„ํŒŒ๊ดด๊ฒ€์‚ฌ(NDT)์— ์˜ํ•ด ์‚ฐ์ •๋œ ์ถ”์ • ์••์ถ•๊ฐ•๋„์™€ ์‹ค์ œ ์••์ถ•๊ฐ•๋„์™€์˜ ์ฐจ์ด๊ฐ€ ์žˆ์œผ๋ฉฐ, ์ด ์ฐจ์ด๋ฅผ ๋ณด์ •ํ•˜๊ธฐ ์œ„ํ•ด ๊ฒฝํ—˜์ ์ธ ๋ฐฉ๋ฒ•๋“ค์ด ์—ฐ๊ตฌ๋˜์—ˆ๊ณ  ์‹ค๋ฌด์—์„œ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋‹ค(AIJ, 1983; MRSJ, 1958; Tanigawa and Kosaka, 1980; Szilรกgyi et al., 2014).

3.1.1 ์ •๋ฐ€์•ˆ์ „์ ๊ฒ€ ๋‹จ๊ณ„: ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•

์ •๋ฐ€์•ˆ์ „์ ๊ฒ€ ๋‹จ๊ณ„์—์„œ๋Š” ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•(Rebound Hammer Test)์„ ์ฃผ๋กœ ์‚ฌ์šฉํ•œ๋‹ค. ์ธก์ • ๋ฐ์ดํ„ฐ์˜ ์‹ ๋ขฐ์„ฑ์„ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ MRSJ(1958), AIJ(1983), Tokyo Method ๋“ฑ ๊ณต์ธ๋œ 3์ข…์˜ ์ œ์•ˆ์‹์„ ์ ์šฉํ•˜์—ฌ ๊ฐ ์ œ์•ˆ์‹์— ์˜ํ•ด ์‚ฐ์ถœ๋œ ์ถ”์ • ๊ฐ•๋„์˜ ์‚ฐ์ˆ ํ‰๊ท ๊ฐ’์„ ๊ตฌ์กฐ์ฒด์˜ ๋Œ€ํ‘œ ๊ฐ•๋„๋กœ ์ •์˜ํ•œ๋‹ค. ์ด๋Š” ํŠน์ • ์ œ์•ˆ์‹ ์ ์šฉ์— ๋”ฐ๋ฅธ ํ†ต๊ณ„์  ํŽธํ–ฅ์„ฑ์„ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•จ์ด๋‹ค.

3.1.2 ์ •๋ฐ€์•ˆ์ „์ง„๋‹จ ๋‹จ๊ณ„: ๋ณตํ•ฉ๋ฒ•

์ •๋ฐ€์•ˆ์ „์ง„๋‹จ ๋‹จ๊ณ„์—์„œ๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ๋‚ด๋ถ€์˜ ๊ฑด์ „์„ฑ์„ ์ •๋ฐ€ํ•˜๊ฒŒ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•๊ณผ ์ดˆ์ŒํŒŒ์ „๋‹ฌ์†๋„๋ฒ•(Ultrasonic Pulse Velocity Test)์„ ๋ณ‘ํ–‰ํ•˜๋Š” ๋ณตํ•ฉ ์‹œํ—˜๋ฒ•์„ ์‹ค์‹œํ•œ๋‹ค. ์ด๋Š” Fig. 3๊ณผ ๊ฐ™์ด ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•์ด ํ‘œ๋ฉด๊ฒฝ๋„ ๋งŒ์„ ์ธก์ •ํ•˜์—ฌ ์ฝ˜ํฌ๋ฆฌํŠธ ๋‚ด๋ถ€์˜ ์‹ค์ œ ๊ฐ•๋„๋ฅผ ๋ฐ˜์˜ํ•˜๋Š”๋ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์œผ๋ฉฐ, ๋ฐ˜๋Œ€๋กœ UPV๋ฒ•์€ ๊ณจ์žฌ์˜ ์ข…๋ฅ˜, ํ•จ๋Ÿ‰, ํ˜•์ƒ ๋ฐ ํฌ๊ธฐ ๋“ฑ ๋‹ค์–‘ํ•œ ๋‚ด๋ถ€ ์š”์ธ์˜ ์˜ํ–ฅ์„ ๋ฐ›๊ธฐ ๋•Œ๋ฌธ์— ๋‘ ๋ฐฉ๋ฒ•์„ ์ƒํ˜ธ ๋ณด์™„ํ•˜๋Š” ํšจ๊ณผ๊ฐ€ ์žˆ๋‹ค. ๋™์ผ ์ธก์ • ์œ„์น˜์—์„œ ๋„์ถœ๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ AIJ(1983) ๋ฐ MRSJ(1958)์˜ ๋ณตํ•ฉ๋ฒ• ๋˜๋Š” ๋ณด์ˆ˜์ ์œผ๋กœ ๊ณ„์‚ฐ๋œ ๊ฐ’ ์ค‘ ์ž‘์€ ๊ฐ’์„ ์ ์šฉํ•œ๋‹ค.

Fig. 3 Non-Destructive Testing Techniques: Rebound Hammer and Ultrasonic Pulse Velocity Method

../../Resources/ksm/jksmi.2026.30.4.38/fig3.png

3.1.3 ์ฝ”์–ด ์ฑ„์ทจ๋ฅผ ํ†ตํ•œ ๊ฐ•๋„ ๋ณด์ • (Calibration)

๋น„ํŒŒ๊ดด ์‹œํ—˜์„ ํ†ตํ•œ ๊ฐ•๋„ ์ถ”์ •์˜ ์ •ํ™•๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด ๊ตฌ์กฐ์ฒด ์ฝ”์–ด ์ฑ„์ทจ๋ฅผ ๋ณ‘ํ–‰ํ•œ๋‹ค. ์‹ค์ธก๋œ ์ฝ”์–ด ์••์ถ•๊ฐ•๋„์™€ ๋น„ํŒŒ๊ดด ์‹œํ—˜ ๋ฐ์ดํ„ฐ ๊ฐ„์˜ ์ƒ๊ด€๊ณ„์ˆ˜๋ฅผ ์‚ฐ์ •ํ•˜์—ฌ ๋น„ํŒŒ๊ดด ์ถ”์ • ๊ฐ•๋„ ๊ฐ’์— ๊ณฑํ•˜์—ฌ ์ถ”์ • ๊ฐ•๋„๋ฅผ ์‚ฐ์ •ํ•œ๋‹ค(KALIS, 2026).

3.2 ์žฌ๋ น๊ณผ ํƒ„์‚ฐํ™”๊ฐ€ ๋ฐ˜๋ฐœ๊ฒฝ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

Kim et al.(2009)์˜ ์—ฐ๊ตฌ์— ๋”ฐ๋ฅด๋ฉด ์žฌ๋ น์ด ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์˜ ๋ณ€ํ™”๊ฐ€ ์ฝ˜ํฌ๋ฆฌํŠธ ํ‘œ๋ฉด์˜ ํƒ„์‚ฐํ™”์— ๊ธฐ์ธํ•˜๋ฉฐ ์ฝ˜ํฌ๋ฆฌํŠธ ๊ฐ•๋„๊ฐ€ ๋‚ฎ์„์ˆ˜๋ก ๋ฐ˜๋ฐœ๊ฒฝ๋„์— ๋น„ํ•ด ๊ฐ•๋„๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ๋ฐ˜๋ฐœ๊ฒฝ๋„์™€ ์žฌ๋ น์˜ ๊ด€๊ณ„๋ฅผ ์‹ (1)๊ณผ ๊ฐ™์ด ๊ฐ•๋„๊ณ„์ˆ˜๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค.

(1)
$\alpha(R, t) = 1 - \dfrac{0.3064}{(R/34.7)^{4.2}} \left(\dfrac{t - 28}{t + 94}\right)$

์—ฌ๊ธฐ์„œ, $\alpha(R, t)$๋Š” ์žฌ๋ น ๋ฐ ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฅผ ๊ณ ๋ คํ•œ ์ฝ˜ํฌ๋ฆฌํŠธ ๊ฐ์†Œ ๊ณ„์ˆ˜(๊ธฐ์กด ์ œ์•ˆ์‹), $R$์€ ํ˜„์žฅ์—์„œ ์ธก์ •๋œ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’, t๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ์žฌ๋ น(์ผ, Days)๋ฅผ ์˜๋ฏธํ•œ๋‹ค.

Chang and Chen(2006)์˜ ์—ฐ๊ตฌ์— ๋”ฐ๋ฅด๋ฉด ์ฝ˜ํฌ๋ฆฌํŠธ ํƒ„์‚ฐํ™” ๊นŠ์ด๋Š” ํŽ˜๋†€ํ”„ํƒˆ๋ ˆ์ธ 1% ์šฉ์•ก์˜ ์ƒ‰๋ณ€ํ™” ๊นŠ์ด์™€ ์™„์ „ ํƒ„์‚ฐํ™” ๊นŠ์ด์— ๋Œ€ํ•œ ์ฐจ์ด๋ฅผ ๋„์‹ํ™” ํ•œ ๊ฒƒ์œผ๋กœ ๋Œ€์ฒด์ ์œผ๋กœ ์ƒ‰๋ณ€ํ™” ๊นŠ์ด์˜ ์•ฝ 2๋ฐฐ ๊นŠ์ด์—์„œ ์™„์ „ ํƒ„์‚ฐํ™”๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค.

Kim et al.(2002)์—์„œ๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ๊ฐ€ ๊ธฐ๊ฑด ์–‘์ƒ์ธ ๊ฒฝ์šฐ ์žฌ๋ น์ด ๊ฒฝ๊ณผํ•จ์— ๋”ฐ๋ผ ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ํ‘œ๋ฉด์€ ํƒ„์‚ฐํ™” ๋ฐœ์ƒ์œผ๋กœ ์ธํ•œ ๊ฒฝ๋„๊ฐ€ ์ฆ๊ฐ€๋˜๊ณ  ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์ด ๊ฐ•๋„์˜ ์ฆ๊ฐ€๋Ÿ‰ ๋ณด๋‹ค ํ›จ์”ฌ ํฌ๊ฒŒ ์ธก์ •๋œ๋‹ค. ๋˜ํ•œ, ์ดˆ์ŒํŒŒ ์†๋„๋Š” ํƒ„์‚ฐํ™”์˜ ์˜ํ–ฅ์„ ์ ๊ฒŒ ๋ฐ›์œผ๋ฏ€๋กœ ์žฌ๋ น์˜ ์˜ํ–ฅ์€ ๋ฏธ๋ฏธํ•œ ๊ฒƒ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค.

Kim et al.(2008)์—์„œ๋Š” ์ง€์—ญ๋ณ„(๋„์‹ฌ์ง€, ์‚ฐ๊ฐ„ ์ง€์—ญ) ํƒ„์‚ฐํ™” ์†๋„์— ๋Œ€ํ•˜์—ฌ ์—ฐ๊ตฌํ•˜์˜€์œผ๋ฉฐ, ๋„์‹ฌ์ง€์—ญ์—์„œ ๊ต๋Ÿ‰์„ ๊ธฐ์ค€์œผ๋กœ ๊ฑด์ถ•๋ฌผ(2.7๋ฐฐ), ํ„ฐ๋„(1.3๋ฐฐ), ๊ต๋Ÿ‰์˜ ์ˆœ์„œ๋กœ ๋น ๋ฅด๊ฒŒ ์ง„ํ–‰ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค(Kim et al., 2015; Park and Lee, 2018; Choi et al., 2021).

(2)
$C = A \sqrt{t}$

์—ฌ๊ธฐ์„œ, $C$๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ํƒ„์‚ฐํ™” ๊นŠ์ด(ใŽœ), $t$๋Š” ๊ตฌ์กฐ๋ฌผ์˜ ์ค€๊ณต ํ›„ ๊ฒฝ๊ณผ์‹œ๊ฐ„(์žฌ๋ น, ๋…„), $A$๋Š” ๊ตฌ์กฐ๋ฌผ์˜ ํ™˜๊ฒฝ์กฐ๊ฑด์„ ๋ฐ˜์˜ํ•˜๋Š” ํƒ„์‚ฐํ™” ์†๋„ ๊ณ„์ˆ˜๋กœ ์ด๋Š” ์‹œ๊ฐ„์˜ ์ œ๊ณฑ๊ทผ์— ๋น„๋ก€ํ•˜์—ฌ ์ง„์ „๋˜๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ํƒ„์‚ฐํ™” ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๋งค๊ฐœ ๋ณ€์ˆ˜ํ™” ํ•œ ๊ฒƒ์ด๋‹ค(MOLIT, 2020).

์œ„์˜ ์—ฐ๊ตฌ๋ฅผ ๋ถ„์„ํ•˜๋ฉด Kim et al.(2002)์—์„œ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ์™€ ๊ฐ™๊ณ  ๊ฐ•๋„๊ฐ€ ๋‚ฎ์„์ˆ˜๋ก ๋ฐ˜๋ฐœ๊ฒฝ๋„๊ฐ€ ๋‚ฎ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ํƒ„์‚ฐํ™” ์†๋„ ์—ญ์‹œ ๋„์‹ฌ์ง€์—ญ์—์„œ ๊ฑด์ถ•๋ฌผ์˜ ํƒ„์‚ฐํ™” ์†๋„๊ณ„์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์–ด ์ด๋กœ ์ธํ•œ ๊ฑด์ถ•๋ฌผ์˜ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’๊ณผ ์ถ”์ • ๊ฐ•๋„์™€์˜ ์ฐจ์ด๊ฐ€ ํด ๊ฒƒ์œผ๋กœ ์ถ”์ •๋œ๋‹ค.

Fig. 4 Kernel Density Estimation(KDE) for fck(21, 24MPa)

../../Resources/ksm/jksmi.2026.30.4.38/fig4.png

Table 2 Standard Mix Models by Period According to Aggregate and Admixture Types

Period

Major Usage Period

Coarse Aggregate Mixing Properties (Vol %)

Admixture (FA, BS) Replacement Ratio (Wt %)

Carbonation Resistance Level

Natural Aggregate Period

โˆผ Early 1990s

Natural Gravel 100%

0โˆผ10% (Minimal Use)

Very High (Dense Structure)

Crushed Stone Transition

1990sโˆผ2010s

Crushed Stone 100%

15โˆผ25% (Standardized)

Moderate (Requires Permeability Control)

Recycled Aggregate Adoption

2010sโˆผPresent

Crushed Stone 70% + Recycled 30%

25โˆผ40% (High Volume)

Low (Needs Pore Refinement)

FA: Fly-ash, BS: Blast furnace Slag

3.3 ๊ณจ์žฌ ํŠน์„ฑ-UPV ๊ด€๊ณ„์˜ ๋ฉ”์ปค๋‹ˆ์ฆ˜

์ดˆ์ŒํŒŒ ์†๋„์˜ ๋ฌผ๋ฆฌ์  ๊ฒฐ์ • ์š”์ธ์œผ๋กœ ์ดˆ์ŒํŒŒ๊ฐ€ ๋งค์งˆ์„ ํ†ต๊ณผํ•˜๋Š” ์†๋„๋Š” ๋งค์งˆ์˜ ๋ฐ€๋„์™€ ๋™์  ํƒ„์„ฑ๊ณ„์ˆ˜์— ์ง์ ‘์ ์œผ๋กœ ์ข…์†๋˜๋ฉฐ ๋‹ค์Œ ์‹ (3)๊ณผ ๊ฐ™๋‹ค(Panzera et al., 2011).

(3)
$V = \sqrt{\dfrac{E_d}{\rho}}$

์—ฌ๊ธฐ์„œ, $V$๋Š” ๋งค์งˆ ๋‚ด ์ดˆ์ŒํŒŒ์†๋„, $E_d$๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ๋™์  ํƒ„์„ฑ๊ณ„์ˆ˜(GPa), $\rho$ ๋งค์งˆ์˜ ๋ฐ€๋„(kg/m3)๋กœ ํƒ„์„ฑํŒŒ ์ด๋ก ์— ๊ธฐ์ดˆํ•˜์—ฌ ์ฝ˜ํฌ๋ฆฌํŠธ ๋‚ด๋ถ€์˜ ๋ฐ€์‹ค๋„ ๋ฐ ๋™์  ์—ญํ•™ ํŠน์„ฑ์ด ์ดˆ์ŒํŒŒ ์†๋„์— ๋ฏธ์น˜๋Š” ๋ฌผ๋ฆฌ์  ์ข…์† ๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋‚ธ๋‹ค.

์ฝ˜ํฌ๋ฆฌํŠธ๋Š” ์‹œ๋ฉ˜ํŠธ ํŽ˜์ด์ŠคํŠธ, ๊ณจ์žฌ, ๊ณ„๋ฉด์ „์ด๋Œ€(ITZ)๋กœ ๊ตฌ์„ฑ๋œ ๋ณตํ•ฉ์žฌ๋ฃŒ์ด๋ฉฐ, ๊ณจ์žฌ๊ฐ€ ์ฒด์ ์˜ 65โˆผ80%๋ฅผ ์ฐจ์ง€ํ•˜๋ฏ€๋กœ ๊ณจ์žฌ ์ž์ฒด์˜ ์Œํ–ฅ ํŠน์„ฑ์ด ์ „์ฒด UPV๋ฅผ ์ง€๋ฐฐํ•œ๋‹ค(Panzera et al., 2011; da Silva et al., 2023).

๊ฐ•์ž๊ฐˆ๊ณผ ์‡„์„ ๊ณจ์žฌ์˜ ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค($Z$)๋Š” ์‹ (4)์™€ ๊ฐ™์ด ๋ฐ€๋„์™€ ํŒŒ๋™ ์†๋„์˜ ๊ณฑ์œผ๋กœ ์ •์˜๋˜๋ฉฐ, ๋‘ ๋งค์งˆ ๊ณ„๋ฉด์—์„œ์˜ ํŒŒ๋™ ๋ฐ˜์‚ฌ ๋ฐ ํˆฌ๊ณผ๋ฅผ ๊ฒฐ์ •ํ•œ๋‹ค.

(4)
$Z = \rho \times V$

์—ฌ๊ธฐ์„œ, $Z$๋Š” ๋งค์งˆ์˜ ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค(Acoustic Impedance, kg/(m2โ‹…s)), $\rho$๋Š” ๋งค์งˆ์˜ ๋ฐ€๋„(kg/m3), $V$๋Š” ์ดˆ์ŒํŒŒ์†๋„(km/s)์ด๋ฉฐ, ์„œ๋กœ ๋‹ค๋ฅธ ์ด์ข… ๋งค์งˆ(๊ณจ์žฌ์™€ ์‹œ๋ฉ˜ํŠธ ํŽ˜์ด์ŠคํŠธ)์˜ ๊ณ„๋ฉด์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํŒŒ๋™์˜ ๋ฐ˜์‚ฌ์™€ ํˆฌ๊ณผ ํŠน์„ฑ์„ ๊ฒฐ์ •ํ•˜๋Š” ํ•ต์‹ฌ ๋ฌผ๋ฆฌ๋Ÿ‰์ด๋‹ค.

๊ฐ•์ž๊ฐˆ(์ฒœ์—ฐ ๊ณจ์žฌ)์€ ์‡„์„ ๊ณจ์žฌ์— ๋น„ํ•ด ์ผ๋ฐ˜์ ์œผ๋กœ ๋†’์€ ๋น„์ค‘(2.60โˆผ2.65 vs. 2.55โˆผ2.60)๊ณผ ๋‚ฎ์€ ํก์ˆ˜์œจ(1.0โˆผ2.0% vs. 2.0โˆผ4.0%)์„ ๊ฐ€์ง„๋‹ค. ์ด๋Š” ๋†’์€ ๋ฐ€๋„์™€ ์กฐ์ง ์น˜๋ฐ€์„ฑ์„ ์˜๋ฏธํ•˜๋ฉฐ, ๊ฒฐ๊ณผ์ ์œผ๋กœ ๋” ๋†’์€ ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค๋ฅผ ๊ฐ–๋Š”๋‹ค. Jones(1949)๋Š” ์ฝ”์–ด์˜ ๋‹ค๊ณต๋ฅ ์— ๋”ฐ๋ฅธ ๊ฐ์‡  ํŠน์„ฑ ์ฐจ์ด๋ฅผ ์ดˆ์ŒํŒŒ ์‹คํ—˜์œผ๋กœ ๊ทœ๋ช…ํ•˜์˜€์œผ๋ฉฐ, ๋‹ค๊ณต์งˆ ๋งค์งˆ์—์„œ ํŒŒ๋™ ์†๋„๊ฐ€ ๊ฐ์†Œํ•จ์„ ์ž…์ฆํ•˜์˜€๋‹ค. Hamad and Zghair(2009)๋Š” ๊ตต์€ ๊ณจ์žฌ/์‹œ๋ฉ˜ํŠธ๋น„ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค ๋ณ€ํ™”๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค.

๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์•ˆ์ „์ง„๋‹จ ํ˜„์žฅ์—์„œ ์กฐ์‚ฌ๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์žฌ๋ น์ด ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’๊ณผ ์ดˆ์ŒํŒŒ ์†๋„์˜ ์ „์ฒด์ ์ธ ๊ฒฝํ–ฅ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•œ๋‹ค.

3.4 ์‹œ๊ธฐ๋ณ„ ๊ณจ์žฌ ์ˆ˜๊ธ‰ ๋ณ€ํ™”

๊ฑด์„ค์—…๊ณ„ ๋“ฑ ์‚ฐ์—… ์ „๋ฐ˜์— ์žˆ์–ด ์ž์—ฐ ์ž์› ๊ณ ๊ฐˆ์— ๋”ฐ๋ผ ๊ตญ๋‚ด ๊ฑด์„ค ํ˜„์žฅ์˜ ๊ตต์€ ๊ณจ์žฌ๋Š” ์ž์—ฐ๊ณจ์žฌ, ์‡„์„(๋ถ€์ˆœ ๊ณจ์žฌ), ์ˆœํ™˜๊ณจ์žฌ ๋ฐ ๋Œ€์ฒด ๊ณจ์žฌ ์ˆœ์œผ๋กœ ์ˆ˜๊ธ‰๊ตฌ์กฐ๊ฐ€ ๋ณ€ํ•ด์™”๋‹ค. ์ด์— ๋”ฐ๋ผ ๋‚ด๊ตฌ์„ฑ์„ ๋ณด์™„ํ•˜๊ธฐ ์œ„ํ•œ ํ˜ผํ™”์žฌ๋ฃŒ์˜ ์‚ฌ์šฉ๋Ÿ‰๋„ ์ ์ง„์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๋Š” ์ถ”์„ธ์ด๋‹ค.

๊ณผ๊ฑฐ ์ž์—ฐ๊ณจ์žฌ ์‚ฌ์šฉ ์‹œ๊ธฐ๋Š” ๋‚ฎ์€ ํก์ˆ˜์œจ๊ณผ ๋†’์€ ๋ฐ€๋„๋กœ ์ธํ•ด ๋ณ„๋„์˜ ํ˜ผํ™”์žฌ ์—†์ด๋„ ์žฅ๊ธฐ์ ์ธ ํƒ„์‚ฐํ™” ์ €ํ•ญ๋ ฅ์„ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ ์‡„์„(๋ถ€์ˆœ๊ณจ์žฌ) ์‚ฌ์šฉ ์‹œ๊ธฐ๋Š” ์‡„์„์˜ ๊ฐ์ง„ ํ˜•์ƒ์œผ๋กœ ์ธํ•ด ํ‘œ๋ฉด ๋ถ€์ฐฉ๋ ฅ์€ ์ข‹์•„์ง€๋‚˜ ๋‹จ์œ„์ˆ˜๋Ÿ‰์˜ ์ฆ๊ฐ€์™€ ์ˆ˜ํ™”์—ด์„ ๋‚ฎ์ถ”๊ธฐ ์œ„ํ•ด Fly-ash์˜ 15โˆผ20% ์น˜ํ™˜์ด ํ‘œ์ค€๋ฐฐํ•ฉ์œผ๋กœ ์ž๋ฆฌ์žก์•˜์œผ๋ฉฐ, ์ˆœํ™˜๊ณจ์žฌ ๋ฐ ํ˜ผํ•ฉ์‚ฌ์šฉ ์‹œ๊ธฐ๋Š” ์ˆœํ™˜๊ณจ์žฌ ์‚ฌ์šฉ ์‹œ ๋ฐœ์ƒํ•˜๋Š” ๋‚ด๊ตฌ์„ฑ ์ €ํ•˜ ๋ฌธ์ œ๋Š” ํ˜ผํ™”์žฌ์˜ ํฌ์กธ๋ž€ ๋ฐ˜์‘์„ ํ†ตํ•œ ์กฐ์ง ์น˜๋ฐ€ํ™”๋กœ ์ด์ „๊ณผ๋Š” ๋‹ค๋ฅธ ๋‚ด๊ตฌ์„ฑ ์„ค๊ณ„๋ฅผ ํ†ตํ•ด ๋ณด์™„๋˜๊ณ  ์žˆ๋‹ค. Table 2๋Š” ๊ตญ๋‚ด์—์„œ ๋ฐœํ‘œ๋œ ๋…ผ๋ฌธ ๋ฐ ํ‘œ์ค€์‹œ๋ฐฉ์„œ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์žฌ๊ตฌ์„ฑํ•œ ์‹œ๊ธฐ๋ณ„ ๋Œ€ํ‘œ ๋ฐฐํ•ฉ ๊ฒฝํ–ฅ์„ ์ •๋ฆฌํ•˜์˜€๋‹ค(Lee and Kim, 2017; Kim et al., 2008; Lee, 2016; Park and Ahn, 2016; Silva et al., 2014).

์ฃผ์š” ๊ณจ์žฌ์˜ ์‚ฌ์šฉ ์‹œ๊ธฐ๋ฅผ ์ •๋ฆฌํ•˜๋ฉด ์ž์—ฐ๊ณจ์žฌ๋ฅผ ์‚ฌ์šฉํ•œ 1990๋…„ ์ด์ „ ์‹œ๊ธฐ(์žฌ๋ น 30๋…„ ์ดˆ๊ณผ), ์‡„์„ ์ „ํ™˜๊ธฐ์ธ 1990โˆผ2010๋…„๋Œ€(์žฌ๋ น 15โˆผ30๋…„), ์ˆœํ™˜๊ณจ์žฌ ๋„์ž…๊ธฐ๋กœ 2010๋…„๋ถ€ํ„ฐ ํ˜„์žฌ๊นŒ์ง€(์žฌ๋ น 0โˆผ15๋…„)์œผ๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋‹ค.

4. ํ˜„์žฅ ๋น„ํŒŒ๊ดด๊ฒ€์‚ฌ ๊ฒฐ๊ณผ

4.1 ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’๊ณผ ์žฌ๋ น๊ณผ์˜ ๊ด€๊ณ„

์ฝ˜ํฌ๋ฆฌํŠธ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$) 21, 24MPa๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ˜„์žฅ์—์„œ ์ธก์ •๋œ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๋ณด์ • ๊ฐ’($R$)์— ๋Œ€ํ•˜์—ฌ ํ™•๋ฅ ๋ฐ€๋„๋ถ„ํฌ(KDE)๋ฅผ Fig. 4(a)์— ๋‚˜ํƒ€๋ƒˆ๋‹ค.

๋ถ€์žฌ(์Šฌ๋ž˜๋ธŒ, ๋ณด, ๊ธฐ๋‘ฅ), ์ธก์ • ์œ„์น˜(๋‹จ๋ถ€, ์ค‘์•™๋ถ€)๋ฅผ ๊ณ ๋ คํ•˜์ง€ ์•Š์€ ์ƒํƒœ์—์„œ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ•œ ๋ฐ์ดํ„ฐ๋“ค์˜ ๋ถ„์„ ๊ฒฐ๊ณผ $f_{ck}$(21MPa)์˜ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๋ณด์ •๊ฐ’($R$) ๊ฐ’์€ ์ด 111๊ฐœ์˜ ๋ฐ์ดํ„ฐ๋กœ ์ตœ์†Œ 38.8์—์„œ ์ตœ๋Œ€ 54.6์œผ๋กœ ๋ถ„ํฌ๋˜์–ด ์žˆ์œผ๋ฉฐ ์ค‘์•™๊ฐ’์€ 46.57 ํ‘œ์ค€ํŽธ์ฐจ 3.32 ํ‰๊ท ๊ฐ’์€ 46.76๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. $f_{ck}$(24MPa)์˜ $R$๊ฐ’์€ ์ด 284๊ฐœ์˜ ์ƒ˜ํ”Œ๋กœ ์ตœ์†Œ 33.0์—์„œ ์ตœ๋Œ€ 55.8๋กœ ๋ถ„ํฌ๋˜์–ด ์žˆ์œผ๋ฉฐ ์ค‘์•™๊ฐ’์€ 45.25 ํ‘œ์ค€ํŽธ์ฐจ 4.86 ํ‰๊ท ๊ฐ’์€ 46.21๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์˜ KDE ๋ถ„์„๊ฒฐ๊ณผ $f_{ck}$(21, 24MPa)๊ฐ„์˜ ๋ถ„ํฌ๊ฐ€ ์ •๊ทœ๋ถ„ํฌ์— ๊ฐ€๊นŒ์šด ์ข…๋ชจ์–‘์„ ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ตœ๋นˆ๊ฐ’์˜ ์œ„์น˜๊ฐ€ ๋งค์šฐ ์ธ์ ‘ํ•˜๋ฉฐ ์ƒ๋‹น๋ถ€๋ถ„ ์ค‘์ฒฉ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠนํžˆ, 21MPa์˜ ํ‰๊ท  ๋ฐ˜๋ฐœ๊ฒฝ๋„(46.76)๊ฐ€ 24MPa์˜ ํ‰๊ท (46.21)๋ณด๋‹ค ๋†’๊ฒŒ ์ธก์ •๋˜์—ˆ์œผ๋ฉฐ ์ด๋Š” ๋…ธํ›„ ๊ฑด์ถ•๋ฌผ์˜ ํƒ„์‚ฐํ™”๋กœ ์ธํ•œ ํ‘œ๋ฉด ๊ฒฝํ™” ํ˜„์ƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ์ด๋Ÿฌํ•œ ๋ถ„ํฌ์˜ ๋†’์€ ์ค‘์ฒฉ๋„๋Š” ๋‹จ์ผ ๋น„ํŒŒ๊ดด ๋ณ€์ˆ˜๋งŒ์œผ๋กœ $f_{ck}$๊ฐ„์˜ ๋ณ€๋ณ„๋ ฅ์„ ํ™•๋ณดํ•˜๊ธฐ ์–ด๋ ต๊ณ  ๋ณตํ•ฉ๋ฒ• ๋ฐ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„ ๋ณด์ •์ด ํ•„์š”ํ•œ ๊ฒƒ์„ ๋’ท๋ฐ›์นจํ•œ๋‹ค.

์ฝ˜ํฌ๋ฆฌํŠธ์˜ ๋ฐ˜๋ฐœ๊ฒฝ๋„์™€ ์žฌ๋ น๊ณผ์˜ ์ƒ๊ด€๊ด€๊ณ„ ๊ทธ๋ž˜ํ”„๋ฅผ ๋ณด๋ฉด $f_{ck}$(21MPa)์€ Fig. 5(a)์™€ ๊ฐ™์ด ์‹œ๊ณต ํ›„โˆผ20๋…„๊นŒ์ง€๋Š” $R$๊ฐ’์ด ์ฆ๊ฐ€, 20โˆผ30๋…„์€ ์™„๋งŒํ•˜๊ฒŒ ์ฆ๊ฐ€, 30๋…„์„ ๊ธฐ์ค€์œผ๋กœ ๊ธฐ์šธ๊ธฐ๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ , $f_{ck}$(24MPa)์€ Fig. 5(b)์™€ ๊ฐ™์ด ์‹œ๊ณต ํ›„โˆผ20๋…„๊นŒ์ง€๋Š” ์ฆ๊ฐ€, 20โˆผ30๋…„ ๊ตฌ๊ฐ„์€ ์™„๋งŒํ•˜๊ฒŒ ์ฆ๊ฐ€, 30๋…„์ด์ƒ์€ ๊ธฐ์šธ๊ธฐ๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

์ด๋ฅผ ๊ทผ๊ฑฐ๋กœ Fig. 5(c)์™€ ๊ฐ™์ด $f_{ck}$(21, 24Mpa) ์ „์ฒด ๋ฐ์ดํ„ฐ๋ฅผ ๋ชจ๋‘ ๋ถ„์„ํ•ด ๋ณด๋ฉด ์žฌ๋ น๊ณผ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์— ๋Œ€ํ•œ ๊ธฐ์šธ๊ธฐ๊ฐ€ ์ค€๊ณต ํ›„โˆผ25๋…„ ๊ตฌ๊ฐ„์—์„œ๋Š” ์ƒ์Šนํ•˜๊ณ  26๋…„โˆผ35๋…„ ๊ตฌ๊ฐ„์—์„œ๋Š” ์™„๋งŒํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜๊ณ , 36๋…„ ์ดํ›„๋Š” ๊ธฐ์šธ๊ธฐ๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋œ๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ๋กœ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„ $R$๊ฐ’์˜ ๊ธฐ์šธ๊ธฐ๊ฐ€ ๋ณ€ํ™”ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ํ™•์ธํ•˜์˜€๋‹ค.

์œ„์˜ ๊ฒฐ๊ณผ๋กœ ์žฌ๋ น์ด ์ฝ˜ํฌ๋ฆฌํŠธ ํ‘œ๋ฉด ๊ฒฝ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์žˆ์œผ๋‚˜ ๊ทธ ์ •๋„์™€ ํŠน์„ฑ์€ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„๋กœ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒฝํ–ฅ์€ ๋‹ค๋ฅธ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ์œผ๋ฉฐ, ์ถ”์ • ๊ฐ•๋„ ์˜ˆ์ธก์‹๊ณผ ๊ธฐ์กด ์ œ์•ˆ์‹ ๋˜ํ•œ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„๋กœ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

Fig. 5 Probability density distribution of Rebound by fck(21, 24MPa)

../../Resources/ksm/jksmi.2026.30.4.38/fig5.png

4.2 ์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’๊ณผ ์žฌ๋ น๊ณผ์˜ ๊ด€๊ณ„

์ฝ˜ํฌ๋ฆฌํŠธ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$) 21, 24MPa์„ ๊ธฐ์ค€์œผ๋กœ ํ˜„์žฅ์—์„œ ์ธก์ •๋œ ์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’($V$)์— ๋Œ€ํ•˜์—ฌ ํ™•๋ฅ ๋ฐ€๋„๋ถ„ํฌ(KDE)๋ฅผ Fig. 4(b)์— ๋‚˜ํƒ€๋ƒˆ๋‹ค.

๋ถ€์žฌ(์Šฌ๋ž˜๋ธŒ, ๋ณด, ๊ธฐ๋‘ฅ), ์ธก์ • ์œ„์น˜(๋‹จ๋ถ€, ์ค‘์•™๋ถ€)๋ฅผ ๊ณ ๋ คํ•˜์ง€ ์•Š์€ ์ƒํƒœ์—์„œ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ•œ ๋ฐ์ดํ„ฐ๋“ค์˜ ๋ถ„์„ ๊ฒฐ๊ณผ $f_{ck}$(21MPa)์˜ $V$๊ฐ’์€ ์ด 109๊ฐœ์˜ ์ƒ˜ํ”Œ๋กœ ์ตœ์†Œ 3.79์—์„œ ์ตœ๋Œ€ 4.23์œผ๋กœ ๋ถ„ํฌ๋˜์–ด ์žˆ์œผ๋ฉฐ ์ค‘์•™๊ฐ’์€ 4.01 ํ‘œ์ค€ํŽธ์ฐจ 0.11 ํ‰๊ท ๊ฐ’์€ 4.01๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. $f_{ck}$(24MPa)์˜ $V$๊ฐ’์€ ์ด 243๊ฐœ์˜ ์ƒ˜ํ”Œ๋กœ ์ตœ์†Œ 3.5์—์„œ ์ตœ๋Œ€ 4.39๋กœ ๋ถ„ํฌ๋˜์–ด ์žˆ์œผ๋ฉฐ ์ค‘์•™๊ฐ’์€ 4.01 ํ‘œ์ค€ํŽธ์ฐจ 0.21 ํ‰๊ท ๊ฐ’์€ 3.96์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’์˜ KDE ๋ถ„์„๊ฒฐ๊ณผ $f_{ck}$(21, 24MPa)๊ฐ„์˜ ์ข…๊ทธ๋ž˜ํ”„ ๋ถ„ํฌ๊ฐ€ ๋ฐ˜๋ฐœ๊ฒฝ๋„์˜ KDE์™€ ๊ฐ™์ด ๊ฒน์ณ ์žˆ๋Š” ์–‘์ƒ์„ ๋ณด์ด๋ฉฐ, ํ‰๊ท ๊ฐ’์˜ ์ฐจ์ด๋„ 0.05km/s ๋‚ด์™ธ๋กœ ๋‚˜ํƒ€๋‚˜ ๊ฐ•๋„๋ณ„ ๊ทธ๋ฃน์˜ ๋ณ€๋ณ„๋ ฅ์ด ๋‹จ๋… ๋น„ํŒŒ๊ดด ๊ฒ€์‚ฌ๋งŒ์œผ๋กœ๋Š” ๋ช…ํ™•ํžˆ ๊ตฌ๋ถ„๋˜์ง€ ์•Š๋Š” ์ƒํƒœ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

์ฝ˜ํฌ๋ฆฌํŠธ์˜ ์ดˆ์ŒํŒŒ์†๋„์™€ ์žฌ๋ น๊ณผ์˜ ์ƒ๊ด€๊ด€๊ณ„ ๊ทธ๋ž˜ํ”„๋ฅผ ๋ณด๋ฉด $f_{ck}$(21MPa)์€ Fig. 6(a)์™€ ๊ฐ™์ด ์‹œ๊ณต ํ›„โˆผ20๋…„์€ $V$๊ฐ’์ด ์ฆ๊ฐ€, 20โˆผ40๋…„์€ ์™„๋งŒํ•˜๊ฒŒ ์ฆ๊ฐ€, 40๋…„ ์ด์ƒ์€ ๋‹ค์‹œ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. $f_{ck}$(24MPa)์€ Fig. 6(b)์™€ ๊ฐ™์ด ์‹œ๊ณต ํ›„โˆผ20๋…„์€ $V$๊ฐ’์ด ์ฆ๊ฐ€, 20โˆผ35๋…„์€ ์™„๋งŒํ•˜๊ฒŒ ์ฆ๊ฐ€, 35๋…„ ์ด์ƒ์€ ๋‹ค์‹œ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

์ด๋ฅผ ๊ทผ๊ฑฐ๋กœ Fig. 6(c)์™€ ๊ฐ™์ด $f_{ck}$(21, 24Mpa) ์ „์ฒด ๋ฐ์ดํ„ฐ๋ฅผ ๋ชจ๋‘ ๋ถ„์„ํ•ด ๋ณด๋ฉด ์žฌ๋ น๊ณผ ์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’์— ๋Œ€ํ•œ ๊ธฐ์šธ๊ธฐ๊ฐ€ ์ค€๊ณต ํ›„โˆผ20๋…„์—์„œ๋Š” ์ฆ๊ฐ€, 20๋…„โˆผ35๋…„ ๊ตฌ๊ฐ„์—์„œ๋Š” ์™„๋งŒํžˆ ์ฆ๊ฐ€, 35๋…„ ์ด์ƒ ๊ตฌ๊ฐ„์€ ๋‹ค์‹œ ์ฆ๊ฐ€ํ•œ๋‹ค. ์ดˆ๊ธฐโˆผ์ค‘๊ธฐ ์žฌ๋ น ๊ตฌ๊ฐ„์—์„œ๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ๋งค์งˆ ๋‚ด๋ถ€์˜ ์ˆ˜ํ™”๋ฐ˜์‘ ์ง„ํ–‰์— ๋”ฐ๋ฅธ ๊ณต๊ทน ์ถฉ์ „ ๋ฐ ๋ฏธ์„ธ์กฐ์ง ์น˜๋ฐ€ํ™”๊ฐ€ ์ฃผ๋œ ์›์ธ์ธ ๋ฐ˜๋ฉด(Panzera et al., 2011; Basu et al., 2024), ์žฅ๊ธฐ ์žฌ๋ น(35๋…„ ์ด์ƒ) ๊ตฌ๊ฐ„์—์„œ์˜ UPV ์žฌ์ƒ์Šน์€ ํƒ„์‚ฐํ™”์— ์˜ํ•œ ํ‘œ๋ฉด ์น˜๋ฐ€์„ฑ ์ฆ๋Œ€๋ณด๋‹ค ๋‹น์‹œ ์‚ฌ์šฉ๋œ ๊ณจ์žฌ์˜ ํŠน์„ฑ(๊ฐ•์ž๊ฐˆ์˜ ๋†’์€ ๋ฐ€๋„์™€ ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค)์ด ์ดˆ์ŒํŒŒ ์ „๋‹ฌ ์†๋„์— ๋ฏธ์น˜๋Š” ์ง€๋ฐฐ์  ์˜ํ–ฅ์— ๊ธฐ์ธํ•œ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค(Jones, 1953; Kaplan, 1959; Irrigaray and Pinto, 2016). ํŠนํžˆ ๊ณจ์žฌ๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ์ฒด์ ์˜ 65โˆผ75%๋ฅผ ์ฐจ์ง€ํ•˜๋ฏ€๋กœ, ๊ณจ์žฌ ์ž์ฒด์˜ ํƒ„์„ฑํŒŒ ์†๋„๊ฐ€ ์ฝ˜ํฌ๋ฆฌํŠธ ์ „์ฒด UPV์— ๊ฒฐ์ •์  ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค.

Kim et al.(2002)์˜ ์—ฐ๊ตฌ์— ๋”ฐ๋ฅด๋ฉด ์ดˆ์ŒํŒŒ์†๋„๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ๋‚ด๋ถ€ ๋ฐ€์‹ค๋„๋ฅผ ์ธก์ •ํ•˜์—ฌ ํ‘œ๋ฉด ๋…ธํ›„ํ™” ๋ฐ ์žฌ๋ น์— ๋”ฐ๋ฅธ ์˜ํ–ฅ๋ณด๋‹ค ๊ณจ์žฌ์˜ ํŠน์„ฑ, W/C, ๋‚ด๋ถ€ ๊ณต๊ทน๋ฅ , ์ฒ ๊ทผ๋ฐฐ๊ทผ, ํƒ€์„ค ๋ฐ ๋‹ค์ง์ƒํƒœ ๋“ฑ์— ๋” ์˜ํ–ฅ์„ ๋ฐ›๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค.

๋‹ค๋งŒ, ์žฌ๋ น 36๋…„ ์ด์ƒ ๊ตฌ๊ฐ„์—์„œ ์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์€ ํƒ„์‚ฐํ™” ๋“ฑ์œผ๋กœ ์ธํ•œ ํ‘œ๋ฉด์˜ ์น˜๋ฐ€์„ฑ ๋ฐ ๋ฐ€๋„์˜ ์ฆ๋Œ€์˜ ์›์ธ๋ณด๋‹ค ์‹œ๊ณต๋…„๋„(1990๋…„๋„ ์ด์ „)๋กœ ๋ณด์•„ ์‚ฌ์šฉ ๊ณจ์žฌ์˜ ํŠน์„ฑ์œผ๋กœ ์ธํ•œ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ์ด๋Š” ๊ฐ•์ž๊ฐˆ(์ฒœ์—ฐ ๊ณจ์žฌ)์ด ์‡„์„์— ๋น„ํ•ด ๋†’์€ ๋ฐ€๋„์™€ ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค๋ฅผ ๊ฐ€์ง€๋ฏ€๋กœ ์ดˆ์ŒํŒŒ ํŒŒ๋™์˜ ์ „๋‹ฌ ์†๋„๊ฐ€ ๋” ๋น ๋ฅด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค(Kim et al., 2022; Gรผรงlรผer, 2020). ํŠนํžˆ ๊ฐ•์ž๊ฐˆ์€ ํก์ˆ˜์œจ์ด ๋‚ฎ๊ณ  ์กฐ์ง์ด ์น˜๋ฐ€ํ•˜์—ฌ ๋‚ด๋ถ€ ํŒŒ๋™ ์ „๋‹ฌ์— ์œ ๋ฆฌํ•˜๋ฉฐ, ์›ํ˜• ๊ณจ์žฌ์˜ ํ‘œ๋ฉด ํŠน์„ฑ๋„ ํŒŒ๋™ ์ „๋‹ฌ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๋˜์—ˆ๋‹ค(Trtnik et al., 2009).

๋”ฐ๋ผ์„œ, ์ดˆ์ŒํŒŒ์†๋„์˜ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„ ํŠน์„ฑ์€ ์ฝ˜ํฌ๋ฆฌํŠธ ๋‚ด๋ถ€์˜ ํŠน์„ฑ์— ์ฃผ๋กœ ์˜ํ–ฅ์„ ๋ฐ›์œผ๋ฉฐ ํƒ€ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฌผ์‹œ๋ฉ˜ํŠธ๋น„(W/C) ๋“ฑ์— ๋Œ€ํ•œ ๋ฌผ์„ฑ์น˜์˜ ์˜ํ–ฅ์— ๋Œ€ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€์œผ๋‚˜, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ๊ตฌ์„ฑ ์žฌ๋ฃŒ ์ค‘ ์‹œ๊ณต ๊ธฐ๊ฐ„๋ณ„ ์‚ฌ์šฉ๋œ ๊ณจ์žฌ์˜ ์˜ํ–ฅ์— ์ดˆ์ ์„ ๋งž์ถ”์–ด ๋ถ„์„์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์ด๋Š” ๊ณจ์žฌ์˜ ์ข…๋ฅ˜, ํ•จ๋Ÿ‰, ํฌ๊ธฐ ๋ฐ ํ˜•์ƒ์ด UPV์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์ด๋ฏธ ๋‹ค์ˆ˜์˜ ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์ž…์ฆ๋˜์—ˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค(Panzera et al., 2011; Irrigaray and Pinto, 2016; Trtnik et al., 2009). ํŠนํžˆ ๊ณจ์žฌ๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ์ฒด์ ์˜ 65โˆผ75%๋ฅผ ์ ์œ ํ•˜๋ฏ€๋กœ, ๊ณจ์žฌ ์ž์ฒด์˜ ํŒŒ๋™ ์ „๋‹ฌ ์†๋„๊ฐ€ ์ฝ˜ํฌ๋ฆฌํŠธ ์ „์ฒด UPV๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ์ง€๋ฐฐ์  ์ธ์ž๋กœ ์ž‘์šฉํ•œ๋‹ค.

Fig. 6 Probability density distribution of UPV by fck(21, 24MPa)

../../Resources/ksm/jksmi.2026.30.4.38/fig6.png

Table 3 Concrete Strength Estimation Formula Based on Rebound by Age Group

Age Group

Number of Samples (n)

Average

St.Dev

COV (%)

Under 25 years

121

44.24

5.18

11.71

26 to 35 years

239

46.68

3.94

8.43

Over 36 years

35

43.77

3.91

8.93

Table 4 Concrete Strength Estimation Formula Based on UPV by Age Group

Age Group

Number of Samples (n)

Average (km/s)

St.Dev

COV (%)

Under 20 years

131

3.78

0.27

7.02

21 to 35 years

239

3.97

0.21

5.38

Over 36 years

35

4.04

0.12

2.90

๋ณธ ํ˜„์žฅ์—์„œ ์ˆ˜์ง‘๋œ ํ˜„์žฅ ๋ฐ์ดํ„ฐ์˜ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๋Š” 21, 24MPa๋ผ๋Š” ํŠน์ • ๋ฒ”์ฃผ์— ๊ตญํ•œ๋˜์–ด ์žˆ์–ด ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ์  ํŠน์„ฑ์ƒ ์—ฐ์†ํ˜• ๋ณ€์ˆ˜๋ฅผ ์ „์ œ๋กœ ํ•˜๋Š” ์ผ๋ฐ˜์ ์ธ ์„ ํ˜•ํšŒ๊ท€๋ถ„์„์„ ์ ์šฉํ•  ๊ฒฝ์šฐ ๊ฒฐ์ •๊ณ„์ˆ˜ ์‚ฐ์ • ์‹œ ์‹ฌ๊ฐํ•œ ํ†ต๊ณ„์  ์™œ๊ณก์ด ๋ฐœ์ƒํ•œ๋‹ค. ํŠน์ • ๊ตฌ๊ฐ„์˜ ๋‚ฎ์€ ๊ฒฐ์ •๊ณ„์ˆ˜ ๊ฐ’์€ NDT ๋ฐ์ดํ„ฐ ์ž์ฒด์˜ ๊ฒฐํ•จ์ด ์•„๋‹ˆ๋ผ ๊ณ ์ •ํ˜• Y์ถ• ๋ณ€์ˆ˜(๊ฐ•๋„)์— ๋”ฐ๋ฅธ ์ˆ˜ํ•™์  ํ•œ๊ณ„์— ๊ธฐ์ธํ•˜๋Š” ๊ฒƒ์ด๋‹ค.

๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ†ต๊ณ„์  ์˜ค๋ฅ˜ ์œ ๋ฐœ ๋ฐฉ์ง€๋ฅผ ์œ„ํ•ด ๊ฒฐ์ •๊ณ„์ˆ˜๋ฅผ ๋ฐฐ์ œํ•˜๊ณ , ๊ฐ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„ ๋น„ํŒŒ๊ดด ๊ณ„์ธก๊ฐ’์˜ ์ •๋ฐ€๋„์™€ ๋ฐ์ดํ„ฐ ๋ณ€๋™์„ฑ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ์ˆ  ํ†ต๊ณ„๋Ÿ‰ ๋ฐ ๋ณ€๋™๊ณ„์ˆ˜(COV)๋ฅผ ๋ถ„์„ ์ง€ํ‘œ๋กœ ์ฑ„ํƒํ•˜์—ฌ Table 3, Table 4์— ์ œ์‹œํ•˜์˜€๋‹ค.

๋ถ„์„ ๊ฒฐ๊ณผ, ๋ฐ˜๋ฐœ๊ฒฝ๋„์™€ ์ดˆ์ŒํŒŒ์†๋„ ๋ฐ์ดํ„ฐ ๋ชจ๋‘ ์ „ ์žฌ๋ น ๊ตฌ๊ฐ„์—์„œ ๋ณ€๋™๊ณ„์ˆ˜๊ฐ€ 12% ์ดํ•˜(์ตœ์†Œ 2.90%์—์„œ ์ตœ๋Œ€ 11.71%)์˜ ์•ˆ์ •์ ์ด๊ณ  ์ˆ˜์šฉ ๊ฐ€๋Šฅํ•œ ๋ฒ”์œ„๋ฅผ ์œ ์ง€ํ•˜๊ณ  ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋Š” ์ˆ˜์ง‘๋œ 395๊ฐœ์˜ ํ˜„์žฅ ๋ฐ์ดํ„ฐ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„๋กœ ๋†’์€ ๋ฐ์ดํ„ฐ ์น˜๋ฐ€์„ฑ๊ณผ ์ •๋ฐ€๋„๋ฅผ ์ผ๊ด€๋˜๊ฒŒ ํ™•๋ณดํ•˜๊ณ  ์žˆ์Œ์„ ํ†ต๊ณ„์ ์œผ๋กœ ์ฆ๋ช…ํ•˜์˜€๋‹ค.

4.3 ๋ถ„์„ ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ๊ณ ์ฐฐ

์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„(21, 24MPa)๋ฅผ ๊ธฐ์ค€์œผ๋กœ ๋ถ„๋ฅ˜ํ•œ ๋ฐ์ดํ„ฐ๋Š” ์ •๊ทœ ๋ถ„ํฌ์— ์žˆ์–ด ์ฐจ์ด๊ฐ€ ํฌ๊ฒŒ ์—†๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” $f_{ck}$์˜ ์ฐจ์ด๊ฐ€ ํฌ๊ฒŒ ์—†๋Š” ๊ฒฝ์šฐ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’๊ณผ ์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’์€ ์‹œ๊ณต ์‹œ์ ์˜ ๋‹ค์ง, ๊ณจ์žฌ์˜ ์ข…๋ฅ˜, ์–‘์ƒ, ์Šต์œค์ƒํƒœ ๋“ฑ์˜ ์‹œ๊ณต ํ’ˆ์งˆ ์ธก๋ฉด์—์„œ ํ›จ์”ฌ ๋” ์ง€๋ฐฐ์ ์ธ ์˜ํ–ฅ์„ ๋ฐ›์Œ์„ ์˜๋ฏธํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌผ๋ฆฌ์  ์š”์ธ์œผ๋กœ ์ธํ•ด ๋ฐ์ดํ„ฐ์˜ ๋ถ„ํฌ๋„๊ฐ€ ๋„ˆ๋ฌด ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚˜ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’($R$)๊ณผ ์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’($V$)๋งŒ์œผ๋กœ ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ์ถ”์ • ๊ฐ•๋„๋ฅผ ์ •๋ฐ€ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” ๊ฒƒ์€ ๋ถˆ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์˜๋ฏธ๋กœ ํŒ๋‹จ๋œ๋‹ค. ๋˜ํ•œ, Kim et al.(2002)์˜ ์—ฐ๊ตฌ์— ๋”ฐ๋ฅด๋ฉด ๋™์ผํ•œ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์ด๋”๋ผ๋„ ์žฌ๋ น์— ๋”ฐ๋ผ ์••์ถ•๊ฐ•๋„๋Š” ์ฐจ์ด๊ฐ€ ๋งŽ์€ ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๋œ๋‹ค.

ํŠนํžˆ, ์žฌ๋ น 21โˆผ35๋…„ ๊ตฌ๊ฐ„์—์„œ ์‹ (2) ๋ฐ Table 5(๋ณดํ†ต์ฝ˜ํฌ๋ฆฌํŠธ)์„ ๊ธฐ์ค€์œผ๋กœ ๊ณ„์‚ฐํ•ด๋ณผ ๋•Œ ์ด ๊ตฌ๊ฐ„์€ ์ฝ˜ํฌ๋ฆฌํŠธ ํƒ„์‚ฐํ™” ๊นŠ์ด๊ฐ€ ์ฒ ๊ทผ ํ”ผ๋ณต ๋‘๊ป˜๊นŒ์ง€ ๋„๋‹ฌํ•˜๋Š” ๊ตฌ๊ฐ„์œผ๋กœ $R$๊ฐ’๊ณผ ์ฝ˜ํฌ๋ฆฌํŠธ ์ถ”์ • ๊ฐ•๋„์™€ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ๊ฑฐ์˜ 0์— ์ˆ˜๋ ดํ•˜๋Š” ์˜ˆ์ธก์ด ์–ด๋ ค์šด ๊ตฌ๊ฐ„์ด๋‹ค. ์ด๋Š” ๋…ธํ›„ํ™”๋œ ์ฝ˜ํฌ๋ฆฌํŠธ ์‹œ์„ค๋ฌผ์˜ ์ถ”์ • ์••์ถ•๊ฐ•๋„๋ฅผ ๋ฐ˜๋ฐœ๊ฒฝ๋„๋ฒ•์œผ๋กœ๋งŒ ์ถ”์ •ํ•œ๋‹ค๋Š” ๊ฒƒ์€ ๋ถˆ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์˜๋ฏธ์ด๋‹ค.

๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์€ ์žฌ๋ น 25โˆผ30๋…„์„ ๊ธฐ์ค€์œผ๋กœ ์žฌ๋ น์— ๋”ฐ๋ฅธ ์„œ๋กœ ๋‹ค๋ฅธ ์—ญํ•™์  ๋ฉ”์ปค๋‹ˆ์ฆ˜ ์–‘์ƒ์„ ๋ณด์ด๋ฉฐ, ์žฌ๋ น 20โˆผ25๋…„๊นŒ์ง€๋Š” $R$๊ฐ’์˜ ๊ธฐ์šธ๊ธฐ๊ฐ€ ์ฝ˜ํฌ๋ฆฌํŠธ์˜ ๊ฒฝํ™”์— ๋”ฐ๋ผ ์ง€์†์ ์ธ ์ƒ์Šน์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์žฌ๋ น 30๋…„์„ ์ดˆ๊ณผํ•˜๋ฉด์„œ ์žฅ๊ธฐ ๋…ธํ›„ํ™” ๋‹จ๊ณ„์— ์ ‘์–ด๋“ค์–ด ๋™๊ฒฐ์œตํ•ด, ๋ฏธ์„ธ ๋ฐ•๋ฆฌ, ํ‘œ๋ฉด ์—ดํ™” ํ˜„์ƒ ๋“ฑ์œผ๋กœ ์ธํ•ด ํ‘œ๋ฉด ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’์ด ํ•˜๋ฝํ•˜๋Š” ๊ฒฝํ–ฅ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’๋„ ์žฌ๋ น์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๊ฐ’์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋‚˜ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’๊ณผ๋Š” ๋‹ค๋ฅด๊ฒŒ $f_{ck}$(24MPa)์—์„œ ์žฌ๋ น 35๋…„ ์ดˆ๊ณผ ๊ตฌ๊ฐ„์—์„œ $V$๊ฐ’์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ๋‚ด๋ถ€์—์„œ ์ดˆ์ŒํŒŒ ์ „๋‹ฌ ์†๋„์— ๋ฏธ์น˜๋Š” ๋ฌผ๋ฆฌ์  ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์†Œ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์ถ”์ •๋œ๋‹ค. ๋”ฐ๋ผ์„œ, ์‹œ๊ณต๋…„๋„๋ฅผ ๊ธฐ์ค€์œผ๋กœ 1990๋…„ ์ด์ „ ๊ฑด์ถ•๋ฌผ์€ ๊ฐ•์ž๊ฐˆ ๋˜๋Š” ๊ฐ•์ž๊ฐˆ+์‡„์„์„ ํ˜ผ์šฉํ•˜์—ฌ ์‚ฌ์šฉํ•œ ๊ฒƒ์œผ๋กœ ์กฐ์‚ฌ๋จ์— ๋”ฐ๋ผ ๊ณจ์žฌ์˜ ๋ฐ€๋„์— ๋”ฐ๋ฅธ ์ดˆ์ŒํŒŒ ์†๋„์˜ ๋ณ€ํ™”๊ฐ€ ๋ฐ˜์˜๋œ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ์ด๋Š” ๊ณจ์žฌ๊ฐ€ ์ฝ˜ํฌ๋ฆฌํŠธ ์ฒด์ ์˜ ๋Œ€๋ถ€๋ถ„์„ ์ฐจ์ง€ํ•˜๋ฏ€๋กœ ๊ณจ์žฌ ์ž์ฒด์˜ ์Œํ–ฅ ํŠน์„ฑ(๋ฐ€๋„, ํƒ„์„ฑ๊ณ„์ˆ˜)์ด ์ „์ฒด UPV์— ์ง€๋ฐฐ์  ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค(Irrigaray and Pinto, 2016). ๊ฐ•์ž๊ฐˆ์˜ ๋†’์€ ๋น„์ค‘๊ณผ ๋‚ฎ์€ ํก์ˆ˜์œจ์€ ์‡„์„ ๋Œ€๋น„ ๋” ๋†’์€ UPV๋ฅผ ์œ ๋ฐœํ•˜๋ฉฐ, ์ด๋Š” ๊ณจ์žฌ์™€ ํŽ˜์ด์ŠคํŠธ ๊ณ„๋ฉด์˜ ํŒŒ๋™ ์ „๋‹ฌ ํŠน์„ฑ ์ฐจ์ด์—์„œ ๊ธฐ์ธํ•œ๋‹ค(Gรผรงlรผer, 2020; Trtnik et al., 2009; Solรญs-Carcaรฑo and Moreno, 2008).

Photo 1 Standard test method for compressive strength of concrete (KS F 2405)

../../Resources/ksm/jksmi.2026.30.4.38/pho1.png

Table 5 Carbonation Rate Coefficients of Concrete

Exposure Conditions

Range of A

Remarks

Outdoor Exposure

1.5โˆผ2.5

Normal Concrete

Urban, High CO2

2.5โˆผ4.0

Traffic Area

Surface Protection

0.5โˆผ1.0

Protective Coating

High-Strength, 40MPa Over

0.5โˆผ1.5

Dense Structure

Table 6 Proposed Age-specific Correction Coefficients

Age Category

Range (Years)

Correction Coefficient (ฮฑage)

Group 1

t โ‰ค 20

0.541

Group 2

21 โ‰ค t โ‰ค 35

0.552

Group 3

t โ‰ฅ 36

0.516

๊ฒฐ๊ณผ์ ์œผ๋กœ ๋ฐ˜๋ฐœ๊ฒฝ๋„๋‚˜ ์ดˆ์ŒํŒŒ์†๋„ ๋‹จ์ผ ์ง€ํ‘œ์— ์˜์กดํ•˜๊ธฐ๋ณด๋‹ค ๋‘ ์ธก์ •๊ฐ’๊ณผ ๋‹ค์–‘ํ•œ ๋ณ€์ˆ˜๋ฅผ ํ†ตํ•ฉ์ ์œผ๋กœ ๊ณ ๋ คํ•œ ๋ณตํ•ฉ๋ฒ•์˜ ๋„์ž…์ด ์š”๊ตฌ๋˜๋ฉฐ, ์ด๋Š” ํ‘œ๋ฉด ๊ฒฝํ™”์™€ ๋‚ด๋ถ€ ๊ท ์—ด์ด๋ผ๋Š” ๊ฐ ์‹œํ—˜๋ฒ•์˜ ํ•œ๊ณ„๋ฅผ ์ƒํ˜ธ ๋ณด์™„ํ•  ์ˆ˜ ์žˆ๋Š” ๋Œ€์•ˆ์ด ๋œ๋‹ค. ์ด์— ๋”ฐ๋ผ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋น„ํŒŒ๊ดด ์ธก์ •๊ฐ’์˜ ๋ณตํ•ฉ์  ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋„์ถœํ•˜๋Š” ๋ณตํ•ฉ๋ฒ• ๊ธฐ์ดˆ์ œ์•ˆ์‹(1๋‹จ๊ณ„), ์žฅ๊ธฐ ์žฌ๋ น ๊ฒฝ๊ณผ์— ๋”ฐ๋ฅธ ์„ฑ๋Šฅ์ €ํ•˜ ํ˜„์ƒ์„ ๋ณด์ •ํ•˜๋Š” ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„ ๋ณด์ •๊ณ„์ˆ˜ (2๋‹จ๊ณ„), ๊ทธ๋ฆฌ๊ณ  ๋ฐ์ดํ„ฐ์˜ ํ†ต๊ณ„์  ํŽธํ–ฅ์„ฑ์„ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๋ณ€๋ณ„๋ ฅ์„ ์ œ์–ดํ•˜๋Š” (3๋‹จ๊ณ„) ์ตœ์ข… ํ†ตํ•ฉ ์ œ์•ˆ์‹์„ ๋‹จ๊ณ„์ ์œผ๋กœ ๊ฒฐํ•ฉํ•˜์—ฌ ์ตœ์ข… ๊ฐ•๋„ ์ถ”์ •๋ชจ๋ธ ์‹ (5)โˆผ(7) ๊ฐ™์ด ๊ตฌ์ถ•ํ•˜์˜€๋‹ค.

(5)
$f_{ref} = 0.214 \cdot R_0 + 3.707 \cdot V + 18.337$
(6)
$f_{age} = f_{ref} \cdot \alpha_{age}$
(7)
$f_{proposed} = f_{ck} + 0.488 \cdot (f_{age} - f_{ck})$

์—ฌ๊ธฐ์„œ, $f_{ref}$๋Š” ํ˜„์žฅ ๊ณ„์ธก ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ์ดˆ๋กœ ์‚ฐ์ถœ๋œ 1๋‹จ๊ณ„ ๋‹ค์ค‘์„ ํ˜•ํšŒ๊ท€ ์ถ”์ • ๊ฐ•๋„(MPa), $R_0$๋Š” ํƒ„์‚ฐํ™” ๋ฐ ์ธก์ • ์™ธ์  ์š”์ธ์„ ์ˆ˜์ •ํ•œ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’, $V$๋Š” ์ดˆ์ŒํŒŒ์†๋„(km/s), $f_{age}$๋Š” 1๋‹จ๊ณ„ ์ถ”์ • ๊ฐ•๋„($f_{ref}$)์— ๊ตฌ์กฐ๋ฌผ์˜ ๋…ธํ›„ํ™” ๊ฒฝํ–ฅ์„ ๋ฐ˜์˜ํ•œ 2๋‹จ๊ณ„ ์žฌ๋ น ๋ณด์ • ๊ฐ•๋„(MPa), $\alpha_{age}$๋Š” Table 6์—์„œ ์ œ์‹œ๋œ ์žฌ๋ น ๊ทธ๋ฃน๋ณ„ ๋ณด์ •๊ณ„์ˆ˜(Group 1: 0.541, Group 2: 0.552, Group 3: 0.516), $f_{proposed}$๋Š” ๋ฐ์ดํ„ฐ์˜ ๋ณ€๋™์„ฑ๊ณผ ํ˜„์žฅ ๋ถˆํ™•์‹ค์„ฑ์„ ์ œ์–ดํ•œ 3๋‹จ๊ณ„ ์ตœ์ข… ํ†ตํ•ฉ ์ œ์•ˆ์‹์— ๋”ฐ๋ฅธ ์ถ”์ • ์••์ถ•๊ฐ•๋„(MPa), $f_{ck}$๋Š” ๊ตฌ์กฐ๋ฌผ์˜ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„(21, 24MPa), 0.488์€ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„๋ฅผ ์ค‘์‹ฌ์ถ•์œผ๋กœ ํšŒ๊ธฐ ์˜ค์ฐจ๋ฅผ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์‹คํ—˜์ ์œผ๋กœ ๋„์ถœ๋œ ์ตœ์ข… ๊ฐ•๋„ ๋ฏผ๊ฐ๋„ ๊ณ„์ˆ˜($\gamma$)์ด๋‹ค.

๋‹ค์ค‘์„ ํ˜•ํšŒ๊ธฐ๋ถ„์„(Multiple Linear Regression) ๊ธฐ๋ฐ˜์˜ ์‹ (5)์€ ๋‹จ์ผ ๋น„ํŒŒ๊ดด ์ธ์ž์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•ด $R_0$์™€ $V$๊ฐ’์„ ๋…๋ฆฝ๋ณ€์ˆ˜๋กœ ์„ค์ •ํ•˜๊ณ , ํ†ต๊ณ„์  ์ž”์ฐจ ์ œ๊ณฑํ•ฉ์„ ์ตœ์†Œํ™”ํ•˜๋Š” ์ตœ์†Œ์ž์Šน๋ฒ•(Ordinary Least Squares)์„ ์ ์šฉํ•˜์—ฌ ๋„์ถœ๋˜์—ˆ๋‹ค. ์‹ (6)์— ์ ์šฉ๋œ ์žฌ๋ น๊ตฌ๊ฐ„๋ณ„ ๋ณด์ •๊ณ„์ˆ˜($\alpha_{age}$)๋Š” 1๋‹จ๊ณ„ ๋‹ค์ค‘์„ ํ˜•ํšŒ๊ท€์‹($f_{ref}$)์ด ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋Š” ์žฌ๋ น๋ณ„ ํŽธํ–ฅ์„ฑ(Bias)์„ ์ œ๊ฑฐํ•˜๊ณ , ๊ตญ๋‚ด ์‹œ๊ณต ์‹œ๊ธฐ๋ณ„ ์žฌ๋ฃŒ์  ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•˜๊ธฐ ์œ„ํ•ด ๋„์ž…๋œ ํ•ต์‹ฌ ๋งค๊ฐœ๋ณ€์ˆ˜์ด๋‹ค. ๋ณธ ๊ณ„์ˆ˜๋Š” ๊ฐ ์žฌ๋ น ๊ทธ๋ฃน๋ณ„๋กœ ์ฑ„์ทจ๋œ ์ฝ˜ํฌ๋ฆฌํŠธ ์ฝ”์–ด์˜ ์••์ถ•๊ฐ•๋„($f_{core}$)์™€ ๋น„ํŒŒ๊ดด ๊ณ„์ธก ๊ธฐ๋ฐ˜ ๊ธฐ์ดˆ ์ถ”์ • ๊ฐ•๋„($f_{ref}$)์˜ ์ •๋Ÿ‰์  ๋น„์œจ($f_{core}/f_{ref}$)์— ๋Œ€ํ•œ ํ†ต๊ณ„์  ํ‰๊ท ์น˜๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์‚ฐ์ •๋˜์—ˆ์œผ๋ฉฐ, ๊ฐ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„ ๋ณ€์ˆ˜์˜ ์ •๋Ÿ‰์  ๋ถ„์„ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค.

Group 1(์žฌ๋ น20๋…„ ์ดํ•˜, $\alpha_{age} = 0.541$)์€ ์‡„์„ ๋ฐ ํ˜ผํ™”์žฌ๋ฃŒ(Fly-ash, Slag)์˜ ์‚ฌ์šฉ์ด ํ‘œ์ค€ํ™”๋œ 2000๋…„๋Œ€ ์ค‘๋ฐ˜ ์ดํ›„์˜ ์ค€๊ณต ๊ตฌ์กฐ๋ฌผ์ด๋‹ค. ์ง€์†์ ์ธ ํฌ์กธ๋ž€ ๋ฐ˜์‘์œผ๋กœ ๋‚ด๋ถ€ ์กฐ์ง์€ ๋ฐ€์‹คํ•˜๋‚˜ ์ดˆ๊ธฐโˆผ์ค‘๊ธฐ ํƒ„์‚ฐํ™” ์ง„ํ–‰์— ๋”ฐ๋ผ ํ‘œ๋ฉด ๊ฒฝ๋„๊ฐ€ ์‹ค์ œ ๊ฐ•๋„ ์ฒด๋ ฅ์— ๋น„ํ•ด ๋‹ค์†Œ ๋†’๊ฒŒ ์ธก์ •๋˜๋Š” ๊ฒฝํ–ฅ์ด ์กด์žฌํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ํ‘œ๋ฉด ๊ฒฝํ™” ํ˜„์ƒ์€ ๊ธฐ์ดˆ์‹($f_{ref}$)์ด ๊ฐ•๋„๋ฅผ ๊ณผ๋Œ€ํ‰๊ฐ€ํ•˜๋Š” ์˜ค์ฐจ๋ฅผ ๋ฒ”ํ•˜๋ฏ€๋กœ, ์ด๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ํ•˜ํ–ฅ ์กฐ์ •ํ•˜๊ธฐ ์œ„ํ•ด 0.541์˜ ๊ณ„์ˆ˜๊ฐ€ ๋„์ถœ๋˜์—ˆ๋‹ค.

1990๋…„๋Œ€๋ถ€ํ„ฐ 2000๋…„๋Œ€ ์ดˆ๋ฐ˜์˜ ์‡„์„ ์ „ํ™˜๊ธฐ ๊ตฌ์กฐ๋ฌผ์ธ Group 2(์žฌ๋ น 21๋…„โˆผ35๋…„, $\alpha_{age} = 0.552$)๋Š” ํƒ„์‚ฐํ™” ๊นŠ์ด๊ฐ€ ์ฒ ๊ทผ ํ”ผ๋ณต ๋‘๊ป˜ ๋ถ€๊ทผ(์•ฝ 15โˆผ30mm)๊นŒ์ง€ ์ง„์ „๋˜์–ด ํ‘œ๋ฉด ๊ฒฝํ™” ํšจ๊ณผ(๋ฐ˜๋ฐœ๊ฒฝ๋„ ์ƒ์Šน)๊ฐ€ ๊ทน๋Œ€ํ™”๋˜๋Š” ํŠน์„ฑ์„ ๋ณด์ด์ง€๋งŒ, ์žฅ๊ธฐ ๊ณต์šฉ์— ๋”ฐ๋ฅธ ์™ธ๊ธฐ ๋…ธ์ถœ๋กœ ๋‚ด๋ถ€ ๋ฏธ์„ธ ๊ท ์—ด ๋“ฑ์˜ ๋ถˆํ™•์‹ค์„ฑ์ด ๋™๋ฐ˜๋œ๋‹ค. ๋‹ค๋งŒ ๋น„ํŒŒ๊ดด ์ธก์ •๊ฐ’์˜ ์ƒํ˜ธ ์ƒ์‡„ ํšจ๊ณผ์— ํž˜์ž…์–ด ์„ธ ๊ทธ๋ฃน ์ค‘ ๊ฐ€์žฅ ๋†’์€ ๋ณด์ •๊ณ„์ˆ˜(0.552)๋ฅผ ๋‚˜ํƒ€๋‚ด๋ฉฐ, ๊ธฐ์ดˆ ํšŒ๊ท€์‹์˜ ์˜ค์ฐจ๋ฅผ ์™„๋งŒํ•˜๊ฒŒ ๋ณด์ •ํ•˜๋Š” ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•œ๋‹ค.

Group 3(์žฌ๋ น 36๋…„ ์ด์ƒ, $\alpha_{age} = 0.516$)์€ 1990๋…„ ์ด์ „ ์ค€๊ณต๋œ ์žฅ๊ธฐ ๋…ธํ›„ ๊ตฌ์กฐ๋ฌผ๋กœ ๋‹น์‹œ ๊ตญ๋‚ด ๊ฑด์„ค์˜ ์ฃผ์ข…์„ ์ด๋ฃฌ ๊ฐ•์ž๊ฐˆ(์ฒœ์—ฐ ๊ณจ์žฌ)์ด ์‚ฌ์šฉ๋œ ์‹œ๊ธฐ์ด๋‹ค. ๊ฐ•์ž๊ฐˆ์€ ์ œ3์žฅ์—์„œ ์„œ์ˆ ํ•œ ๋ฐ”์™€ ๊ฐ™์ด ๋†’์€ ๋น„์ค‘(2.60โˆผ2.65)๊ณผ ์น˜๋ฐ€ํ•œ ์กฐ์ง์œผ๋กœ ์ธํ•ด ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค($Z$)๊ฐ€ ๋งค์šฐ ๋†’์•„, ์ฝ˜ํฌ๋ฆฌํŠธ ๋งค์งˆ ๋‚ด๋ถ€์˜ ์‹ค์ œ ๋งคํŠธ๋ฆญ์Šค ๊ฐ•๋„์™€ ๋ฌด๊ด€ํ•˜๊ฒŒ ์ดˆ์ŒํŒŒ์†๋„($V$)๋ฅผ ํฌ๊ฒŒ ์ƒ์Šน์‹œํ‚ค๋Š” ์ง€๋ฐฐ์  ์ธ์ž๋กœ ์ž‘์šฉํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ์žฌ๋ฃŒํ•™์  ํŠน์„ฑ ํƒ“์— 1๋‹จ๊ณ„ ๊ธฐ์ดˆ์‹($f_{ref}$)์—์„œ ์ดˆ์ŒํŒŒ์†๋„ ํ•ญ์— ์˜ํ•œ ๊ฐ•๋„ ๊ณผ๋Œ€ํ‰๊ฐ€ ์˜ค๋ฅ˜๊ฐ€ ๊ฐ€์žฅ ์‹ฌ๊ฐํ•˜๊ฒŒ ๋ฐœ์ƒํ•˜๋ฏ€๋กœ, ์ด๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ์ƒ์‡„ํ•˜๊ณ  ์•ˆ์ „ ์ง„๋‹จ์˜ ์•ˆ์ „์ธก(Conservative) ํ‰๊ฐ€๋ฅผ ์œ ๋„ํ•˜๊ธฐ ์œ„ํ•ด ์„ธ ๊ทธ๋ฃน ์ค‘ ๊ฐ€์žฅ ๋‚ฎ์€ ๋ณด์ •๊ณ„์ˆ˜($\alpha_{age} = 0.516$)๊ฐ€ ์‚ฐ์ •๋˜์—ˆ๋‹ค. ์ด์™€ ๊ฐ™์€ ์ •๋Ÿ‰์  ๋ณ€์ˆ˜ ๋ถ„์„ ๊ฒฐ๊ณผ๋Š” ๊ตญ๋‚ด ์ฝ˜ํฌ๋ฆฌํŠธ ๊ตฌ์กฐ๋ฌผ์˜ ์‹œ๊ธฐ๋ณ„ ๊ตฌ์„ฑ ์žฌ๋ฃŒ ๋ณ€ํ™”๊ฐ€ ๋น„ํŒŒ๊ดด ์ธก์ •๊ฐ’์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ๋งค์šฐ ์ง€๋Œ€ํ•จ์„ ํ†ต๊ณ„์ ์œผ๋กœ ์ž…์ฆํ•œ๋‹ค.

ํ•œํŽธ, ์‹ (7)๋Š” 2๋‹จ๊ณ„ ๋ณด์ •๊ฐ•๋„($f_{age}$)๋ฅผ ์ ์šฉํ•˜๋”๋ผ๋„ ํ˜„์žฅ ๋ฐ์ดํ„ฐ์˜ ๋ถˆํ™•์‹ค์„ฑ์œผ๋กœ ์ธํ•ด ์ถ”์ •์น˜์˜ ๋ถ„์‚ฐ ํญ์ด ๋„“๊ฒŒ ํ˜•์„ฑ๋˜๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ์˜ค์ฐจ์˜ ๋ถ„์‚ฐ์„ ํ†ต๊ณ„์ ์œผ๋กœ ์••์ถ•ํ•˜๊ธฐ ์œ„ํ•ด ๊ตฌ์กฐ๋ฌผ์˜ ๊ทผ๋ณธ์  ์—ญํ•™ ๊ธฐ์ค€์ ์ธ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๋ฅผ ์ค‘์‹ฌ์ถ•(Pivot)์œผ๋กœ ์„ค์ •ํ•˜๊ณ , ์‹ค์ œ ์ฝ”์–ด ๊ฐ•๋„์™€์˜ RMSE๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” 2์ฐจ ์ตœ์ ํ™”๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋ชจ๋ธ์˜ ์˜ˆ์ธก์น˜์™€ ์‹ค์ธก ์ฝ”์–ด ๊ฐ•๋„ ๊ฐ„์˜ ์ž”์ฐจ๋ฅผ ์ถ”์ ํ•˜์—ฌ ์ตœ์ ํ™” ํ•œ ๊ฒฐ๊ณผ ๋ฏผ๊ฐ๋„ 0.488์ผ ๋•Œ RMSE๊ฐ€ 1.29 ์ˆ˜์ค€์œผ๋กœ ์ˆ˜๋ ดํ•˜๊ฒŒ ๋˜๋ฉฐ, ์ตœ์ข…์ ์œผ๋กœ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์˜ค์ฐจ ๋ณ€๋™ ํญ์„ ์•ฝ 10% ํ†ต๊ณ„์ ์œผ๋กœ ๊ฐ์†Œํ•˜์—ฌ ์‹ค์ œ ํ˜„์žฅ์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ทน๋‹จ์  ๊ณผ๋Œ€โ‹…๊ณผ์†Œํ‰๊ฐ€ ์˜ค๋ฅ˜๋ฅผ ์›์ฒœ ์ฐจ๋‹จํ•˜๋Š” ํ•ต์‹ฌ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์™„์„ฑํ•˜์˜€๋‹ค.

๋„์ถœ๋œ ๊ฐ•๋„ ์˜ˆ์ธก ์‹์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$)๊ฐ€ ์—†๋Š” ์‹œ์„ค๋ฌผ์„ ๋Œ€์ƒ์œผ๋กœ ์ฝ˜ํฌ๋ฆฌํŠธ ์ฝ”์–ด๋ฅผ KS F 2422(์ฝ˜ํฌ๋ฆฌํŠธ ์ฝ”์–ด ๋ฐ ๋ณด์˜ ์‹œ๋ฃŒ ์ ˆ์ทจ ๋ฐ ๊ฐ•๋„ ์‹œํ—˜๋ฐฉ๋ฒ•)์— ๋”ฐ๋ผ ์ฑ„์ทจ ํ›„ ๋ฐ˜๋ฐœ๊ฒฝ๋„์‹œํ—˜ ๋ฐ ์ดˆ์ŒํŒŒ์†๋„ ์ธก์ •ํ•˜๊ณ  Photo 1๊ณผ ๊ฐ™์ด KS F 2405(์ฝ˜ํฌ๋ฆฌํŠธ ์••์ถ•๊ฐ•๋„ ์‹œํ—˜๋ฐฉ๋ฒ•)์— ๋”ฐ๋ผ ์••์ถ•๊ฐ•๋„ ์‹œํ—˜์„ ํ•˜์˜€์œผ๋ฉฐ ์ด ๊ฐ’์„ ์ถ”์ • ๊ฐ•๋„ ์˜ˆ์ธก๊ฐ’๊ณผ ๋น„๊ต ๋ฐ Table 7์˜ ๋ฒ”์šฉ ๋ณตํ•ฉ๋ฒ• ์ถ”์ •์‹๊ณผ ๋น„๊ตํ•˜์—ฌ ๊ทธ ๊ฒฐ๊ณผ๋ฅผ Table 8 ๋ฐ Fig. 7์— ๋‚˜ํƒ€๋ƒˆ๋‹ค.

Table 7 Existing equations and proposed equation for predicting of concrete compressive strength

Reference (Combined Method)

Equation(MPa)

AIJ

$f_c = 0.82 R_0 + 26.9 V_p - 109.4$

KISTEC

$f_c = 1.13 R_0 + 23.37 V_p - 97.83$

RILEM

$f_c = 10^{0.3794 V_p + 0.01149 R_0 - 0.5668}$

Table 8 Comparison of strength ratios between the proposed formula and the existing combined method estimation formula

Reference (Combined Method)

Average Ratio

St.Dev Ratio

COV (%)

RMSE Ratio

Proposed

0.979

0.030

3.10

1.29

AIJ(Japanese)

0.810

0.198

24.41

8.98

KISTEC(Korean)

0.589

0.107

18.14

18.36

RILEM(European)

0.948

0.192

20.27

5.34

Fig. 7 Accuracy Validation and Comparison of the Proposed Model Against Existing Estimation Formulas ($f_{RILEM}, f_{AIJ}, f_{KISTEC}$) Based on Measured Core Strength ($f_{core}$)

../../Resources/ksm/jksmi.2026.30.4.38/fig7.png

Table 8์—๋Š” ๊ตญ๋‚ด์—์„œ ๋งŽ์ด ์‚ฌ์šฉ๋˜๋Š” ๋ณตํ•ฉ๋ฒ•๊ณผ ๋ณธ ์—ฐ๊ตฌ์˜ ์ œ์•ˆ์‹($f_{proposed}$)์— ๋Œ€ํ•˜์—ฌ ์ฝ”์–ด๊ฐ•๋„($f_{core}$) ๋Œ€๋น„ ์ œ์•ˆ์‹์˜ ์ถ”์ • ๊ฐ•๋„์˜ ๊ฐ•๋„๋น„($f_{core}/f_{NDT}$)๋ฅผ ๋น„๊ตํ•˜์˜€๋‹ค. ์ œ์•ˆ์‹($f_{proposed}$)์˜ ํ‰๊ท ์€ 0.979, ํ‘œ์ค€ํŽธ์ฐจ 0.030, COV 3.10%, RMSE 1.29๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ๊ธฐ์กด ๋ฒ”์šฉ ์ถ”์ •์‹๋“ค์˜ ํ†ต๊ณ„์  ์™œ๊ณก์„ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ฒฐ์ •๊ณ„์ˆ˜ ๋Œ€์‹ , ์ฝ”์–ด ๊ฐ•๋„์— ๋Œ€ํ•œ ๋…๋ฆฝ์  ์˜ˆ์ธก ์ •๋ฐ€๋„๋ฅผ ์ •๋Ÿ‰์ ์œผ๋กœ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋Š” RMSE(ํ‰๊ท ์ œ๊ณฑ๊ทผ์˜ค์ฐจ)์™€ ๋ณ€๋™๊ณ„์ˆ˜(COV)๋ฅผ ๋ถ„์„ ์ง€ํ‘œ๋กœ ํ™œ์šฉํ•˜์˜€๊ณ , ํ˜„์žฅ์กฐ์‚ฌ ๋ฐ์ดํ„ฐ์˜ ๋†’์€ ๋ณ€๋™์„ฑ์„ ๊ณ ๋ คํ•˜์—ฌ ์ด์ƒ์น˜ ์ œ๊ฑฐ ๋ฐ ๊ฐ•๋„ ๋ฏผ๊ฐ๋„ ๊ณ„์ˆ˜๋ฅผ ํ†ตํ•œ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„ ๋ณด๊ฐ„์„ ํ†ตํ•ด ํ†ต๊ณ„์  ์œ ์˜๋ฏธ์„ฑ์„ ํ™•๋ณดํ•˜์˜€๋‹ค.

๋น„๊ต ๋Œ€์ƒ์ธ ๋ณตํ•ฉ๋ฒ•($f_{AIJ}, f_{KISTEC}, f_{RILEM}$) ๋ฒ”์šฉ์‹์€ ๋ณ€๋™๊ณ„์ˆ˜(COV) 18.14โˆผ24.41% ๋ฐ ํ‰๊ท ์ œ๊ณฑ๊ทผ์˜ค์ฐจ(RMSE)๋Š” 5.34โˆผ18.36์œผ๋กœ ๋ชจ๋‘ ๋†’๊ฒŒ ๋ถ„์„๋˜์—ˆ์œผ๋‚˜, ๋ณธ ์—ฐ๊ตฌ์˜ ์ œ์•ˆ์‹์€ COV 3.10%, RMSE 1.29๋กœ ๋‚ฎ์•„ ํ˜„์žฅ ๋ฐ์ดํ„ฐ์ž„์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ํ†ต๊ณ„์  ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ์‹ ๋ขฐ๋„๋ฅผ ํ–ฅ์ƒ์‹œ์ผฐ๋‹ค.

๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•œ 3๋‹จ๊ณ„ ํ†ตํ•ฉ๊ฐ•๋„ ์ถ”์ • ๋ชจ๋ธ์€ ๊ฐ•๋„๋น„($f_{core}/f_{NDT}$) ๋ถ„์„์—์„œ 0.979์˜ ํ‰๊ท ๊ฐ’์™€ 0.030์˜ ํ‘œ์ค€ํŽธ์ฐจ๋กœ ๊ธฐ์กด ๋ชจ๋ธ๋“ค์€ ์‹ค์ œ ๊ฐ•๋„ ๊ธฐ์ค€ ๊ฐ•๋„๋น„ ๊ณผ์†Œํ‰๊ฐ€ ๋ฐ COV, RMSE๊ฐ€ ๊ณผ๋Œ€ํ‰๊ฐ€๋œ ๊ฒƒ๊ณผ๋Š” ๋Œ€์กฐ์ ์œผ๋กœ ๋ณธ ์ œ์•ˆ์‹($f_{proposed}$)์€ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„($f_{ck}$) ๊ธฐ๋ฐ˜์˜ ๋ฏผ๊ฐ๋„ ์กฐ์ •์„ ํ†ตํ•ด ํ˜„์žฅ ์‹œํ—˜๊ฒฐ๊ณผ์˜ ๋ถˆํ™•์‹ค์„ฑ์„ ๋ณด์™„ํ•˜์˜€์œผ๋ฉฐ, ์ด๋Š” ๋…ธํ›„ ๊ฑด์ถ•๋ฌผ์˜ ์•ˆ์ „์ง„๋‹จ ์‹œ ๊ฐ๊ด€์ ์ด๊ณ  ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ณตํ•™์  ํŒ๋‹จ ๊ทผ๊ฑฐ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค.

5. ๊ฒฐ ๋ก 

๋ณธ ์—ฐ๊ตฌ๋Š” ์•ˆ์ „์ง„๋‹จ ํ˜„์žฅ์—์„œ ์กฐ์‚ฌ๋œ ํ˜„์žฅ ์‹œํ—˜๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์žฌ๋ น๊ตฌ๊ฐ„๋ณ„ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’, ์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’์— ๋Œ€ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋…ธํ›„ํ™”๋œ ์ฝ˜ํฌ๋ฆฌํŠธ ๊ฑด์ถ•๋ฌผ์˜ ํ˜„์žฅ ์••์ถ•๊ฐ•๋„ ์ถ”์ •์‹์„ ์ œ์•ˆํ•˜์˜€๋‹ค.

1) ๊ตญ๋‚ด ์•ˆ์ „์ง„๋‹จ ๋Œ€์ƒ ๊ฑด์ถ•๋ฌผ ์ค‘ ์ˆ˜๋„๊ถŒ ๋‚ด์— ์œ„์น˜ํ•œ ๋‹ค์–‘ํ•œ ์šฉ๋„์™€ ์žฌ๋ น์„ ๊ฐ€์ง„ ์‹œ์„ค๋ฌผ์—์„œ 395๊ฐœ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™•๋ณดํ•˜์—ฌ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„(21, 24MPa)๋ณ„๋กœ ์žฌ๋ น๊ณผ ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’, ์ดˆ์ŒํŒŒ ์†๋„ ๊ฐ’์— ๋Œ€ํ•œ ์ƒ๊ด€์„ฑ์„ ํ™•์ธํ•˜์˜€๋‹ค.

2) ์žฌ๋ น ๊ทธ๋ฃน๋ณ„(20๋…„ ์ดํ•˜, 20โˆผ35๋…„, 36๋…„ ์ด์ƒ) ๋ฐ˜๋ฐœ๊ฒฝ๋„ ๊ฐ’๊ณผ ์ดˆ์ŒํŒŒ์†๋„ ๊ฐ’์˜ ์žฌ๋ น ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ๋ณ€ํ™” ๊ฒฝํ–ฅ์„ ๋ถ„์„ํ•˜์˜€๊ณ  ์ด์— ๋”ฐ๋ผ, ์žฌ๋ น ๊ทธ๋ฃน๋ณ„ ๋ณด์ •๊ณ„์ˆ˜, ๊ฐ•๋„ ๋ฏผ๊ฐ๋„ ๊ณ„์ˆ˜๋ฅผ ์ ์šฉํ•œ ๊ฐ•๋„ ์ถ”์ • ์ œ์•ˆ์‹์„ ์ œ์‹œํ•˜์˜€๋‹ค.

3) ๋…ธํ›„ํ™”๋œ ์ฝ˜ํฌ๋ฆฌํŠธ๋Š” ์žฌ๋ น 35๋…„์„ ๊ธฐ์ค€์œผ๋กœ ๋ฐ˜๋ฐœ๊ฒฝ๋„์™€ ์ดˆ์ŒํŒŒ์†๋„๊ฐ€ ์„œ๋กœ ๋‹ค๋ฅธ ๊ฒฝํ–ฅ์„ ๊ฐ€์ง„๋‹ค. ๋ฐ˜๋ฐœ๊ฒฝ๋„๋Š” ๋…ธํ›„ํ™”๋กœ ์ธํ•œ ํ‘œ๋ฉด์˜ ๊ฒฝํ™”๋กœ ๊ฐ์†Œ๋˜๋ฉฐ, ์ดˆ์ŒํŒŒ์†๋„๋Š” ์ฆ๊ฐ€๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณผ ๋•Œ ์‹œ๊ธฐ์ (1990๋…„๊ฒฝ)์œผ๋กœ ๊ณจ์žฌ ํšจ๊ณผ(๊ฐ•์ž๊ฐˆ+์‡„์„)๊ฐ€ ๋ฐ˜์˜๋œ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋˜๋ฉฐ, ์ด๋Š” ๊ฐ•์ž๊ฐˆ์˜ ๋†’์€ ์Œํ–ฅ ์ž„ํ”ผ๋˜์Šค์™€ ๋‚ฎ์€ ํก์ˆ˜์œจ์ด ์ดˆ์ŒํŒŒ ์ „๋‹ฌ ์†๋„๋ฅผ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ์žฌ๋ฃŒํ•™์  ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๊ธฐ์ธํ•œ๋‹ค(Panzera et al., 2011; Kim et al., 2022; Trtnik et al., 2009). ๋˜ํ•œ ๊ณจ์žฌ-ํŽ˜์ด์ŠคํŠธ ๊ณ„๋ฉด์ „์ด๋Œ€(ITZ)์˜ ํŒŒ๋™ ์‚ฐ๋ž€ํŠน์„ฑ๊ณผ ๊ณจ์žฌ ์ฒด์ ๋ถ„์œจ์˜ UPV์— ๋Œ€ํ•œ ์˜ํ–ฅ๋„ ๊ด€๋ จ์—ฐ๊ตฌ์—์„œ ์ž…์ฆ๋˜์—ˆ๋‹ค(Ramaniraka et al., 2019).

4) ๊ฐ•๋„ ์ถ”์ •์‹์€ ๊ตญ๋‚ด์—์„œ ๋งŽ์ด ์‚ฌ์šฉ๋˜๋Š” ๋ณตํ•ฉ๋ฒ• ๋ฒ”์šฉ์‹๊ณผ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„ ๋ณด์ •๊ณ„์ˆ˜์™€ ์„ค๊ณ„๊ธฐ์ค€๊ฐ•๋„๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๊ฐ•๋„ ๋ฏผ๊ฐ๋„ ๋ณด์ • ๊ณ„์ˆ˜($\gamma$)๋ฅผ ์ ์šฉํ•œ ์ œ์•ˆ์‹๊ณผ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•œ ์ถ”์ •์‹์€ ๋…ธํ›„ํ™”๋œ ์ฝ˜ํฌ๋ฆฌํŠธ ๊ฐ•๋„ ์ถ”์ •์— ์žˆ์–ด ์˜ˆ์ธก ์‹ ๋ขฐ๋„๊ฐ€ ์ถฉ๋ถ„ํžˆ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ๋‹ค๋งŒ, ํ–ฅํ›„ ์žฌ๋ น ๊ตฌ๊ฐ„๋ณ„ ์ถฉ๋ถ„ํ•œ ๋ฐ์ดํ„ฐ ํ™•๋ณด์™€ ์ฝ˜ํฌ๋ฆฌํŠธ ์ฝ”์–ด๊ฐ•๋„์˜ ๋น„๊ต ํ†ตํ•œ ๋ถ„์„์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค.

References

1 
Kocรกb, D., Misรกk, P., Cikrle, P. (2019), Characteristic Curve and Its Use in Determining the Compressive Strength of Concrete by the Rebound Hammer Test, Materials, 12(17), 2705DOI
2 
Szilรกgyi, K., Borosnyรณi, A., Zsigovics, I. (2015), Rebound hardness of concrete with time: The SBZ model, Construction and Building Materials, 86, 1-11.Google Search
3 
Al-Bayati, A.F. (2018), Statistical Equations to Estimate the In-situ Concrete Compressive Strength from Non-destructive Tests, Journal of Engineering, 24(11)DOI
4 
Kencanawati, N.N. (2021), Study on robustness of rebound hammer and ultrasonic pulse velocity measurement in several concrete damage levels, IOP Conf. Ser.: Earth Environ. Sci., 708, 012069Google Search
5 
Kouddane, B. (2022), Assessment of Concrete Strength Using the Combination of NDTโ€”Review and Performance Analysis, Applied Sciences, 12(23), 12190DOI
6 
Vona, M. (2022), Characterization of In Situ Concrete of Existing RC Constructions, Materials, 15(16), 5549DOI
7 
Lee, B., Lee, J. S. (2024), Examination of Correlation between Compressive Strength and Ultrasonic Pulse Velocity of Concrete Exposed to Domestic Environment, Journal of the Korea Institute for Structural Maintenance and Inspection, 28(6), 23-30. (in Korean)Google Search
8 
Park, M. W., Choi, S. H. (2025), Proposal of Combined Compressive Strength Estimation Formula for Existing Domestic Concrete Buildings Using Rebound Hammer and Ultrasonic Pulse Velocity Methods, Journal of the Korea Institute for Structural Maintenance and Inspection, 29(2), 45-53. (in Korean)Google Search
9 
Architectural Institute of Japan (1983), Manual of nondestructive test methods for the evaluation of concrete strength, 26 (in Japanese)Google Search
10 
Japan Society for Testing and Materials (1958), Guideline for Evaluation of Compressive Strength of Concrete by Schmidt Hammer(draft), Material Testing, 7-59, 426-430. (in Japanese)Google Search
11 
Tanigawa, Y., Kosaka, Y. (1980), Non-destructuve Testing Methods of Concrete, Concrete Journal of Japan Concrete Institute, 18(1), 38-50. (in Japanese)DOI
12 
Szilรกgyi, K., Borosnyรณi, A., Zsigovics, I. (2014), Extensive Statistical Analysis of the Variability of Concrete Rebound Hardness Based on a Large Database of 60years Experience, Construction and Building Materials, 53, 333-347.DOI
13 
Ministry of Land, Infrastructure and Transport (MOLIT) and Korea Authority of Land & Infrastructure Safety (KALIS) (2026), Detailed Guidelines for Safety Inspection and Diagnosis of Facilities, 67-83., Dec 2026 Revised Edition (in Korean)Google Search
14 
Kim, J. K., Kim, C. Y., Yi, S. T., Lee, Y. (2009), Effect of Carbonation on the Rebound Number and Compressive Strength of Concrete, Cement and Concrete Composite, 31, 139-144.DOI
15 
Chang, C. F., Chen, J. W. (2006), The Experimental Investigation of Concrete Carbonation Depth, Cement and Concrete Research, 36(9), 1760-1767.DOI
16 
Kim, M. S., Yun, Y. H., Kim, J. K., Kwon, Y. W., Lee, S. S. (2002), Estimation of Aging Effects on Determination of Compressive Strength of Concrete by Non-Destructive Tests, Jounal of the Korea Convrete Institude, 14(5), 782-788. (in Korean)DOI
17 
Kim, J. H., Oh, K. J., Park, S. B. (2008), A Study on Carbonation Velocity for Concrete Structures, Journal of The Korea Institute for Structural Maintenance and Inspection, 12(2), 163-170. (in Korean)Google Search
18 
Panzera, T.H., Christoforo, A.L., Cota, F.P., Borges, P.H.R., Bowen, C. (2011), InTech Ch.15Google Search
19 
da Silva, R.R.C., Goncalves, R., Bertoldo, C. (2023), Mechanical Properties of Concrete Produced with Coarse Aggregates from Different Mineralogical Origins Using Ultrasonic Tests, International Journal of Concrete Structures and Materials, 17(1), 63DOI
20 
Jones, R. (1949), The Non-Destructive Testing of Concrete, Magazine of Concrete Research, 1(2), 67-78.DOI
21 
Hamad, H.H., Zghair, L.A.G. (2009), The Effect of Coarse Aggregate Ratio on the Properties of No Fine Light Weight Concrete, Journal of Engineering, 17(4)DOI
22 
Lee, Y. H., Kim, J. M. (2017), Experimental Study on Carbonation Characteristics of Recycled Aggregate Concrete by Design Strength, Journal of the Korea Concrete Institute, 29(1), 27-35. (in Korean)Google Search
23 
Kim, J. M., Cho, S. D., Kim, G. Y., Park, C. G. (2008), Analysis of Carbonation Rate and Compressive Strength Characteristics of Concrete by Facility Types, Journal of the Korea Institute for Structural Maintenance and Inspection, 12(4), 141-148. (in Korean)Google Search
24 
Lee, S. H. (2016), Quality Assurance and Durability Evaluation of Recycled Aggregate Concrete for Promoting the Recycling of Construction Wastes, Research Report, Korea Institute of Civil Engineering and Building Technology (KICT) (in Korean)Google Search
25 
Park, D. C., Ahn, K. Y. (2016), Effect of Cement Type and Admixture Replacement Ratio on Carbonation Resistance of Concrete, Journal of the Korean Recycled Construction Resources Institute, 4(2), 115-121. (in Korean)Google Search
26 
Silva, R. V., Neves, R., de Brito, J., Dhir, R. K. (2014), Carbonation behaviour of recycled aggregate concrete: A state-of-the-art review, Construction and Building Materials, 62, 101-117.Google Search
27 
Basu, S., Sasmal, S., Kundu, T. (2024), Ultrasonic wave characteristics in multiscale cementitious materials at different stages of hydration, Ultrasonics, 136, 107166DOI
28 
Jones, R. (1953), Testing of Concrete by Ultrasonic-Pulse Technique, Highway Research Board Proceedings, 32, 258-275.Google Search
29 
Kaplan, M.F. (1959), The effects of age and water/cement ratio upon the relation between ultrasonic pulse velocity and compressive strength of concrete, Magazine of Concrete Research, 11(32), 85-92.DOI
30 
Irrigaray, M.A.P., Pinto, R.C.A., Padaratz, I.J. (2016), A new approach to estimate compressive strength of concrete by the UPV method, Revista IBRACON de Estruturas e Materiais, 9(3), 395-413.DOI
31 
Kim, W., Jeong, K., Choi, H., Choi, H., Lee, T. (2022), Analysis of Ultrasonic Pulse Velocity Correlations for Estimating Residual Compressive Strength of Concrete Subjected to High-Temperature Hysteresis: Influence of Various Aggregates, International Journal of Fire Science and Engineering, 36(1), 1-13. (in Korean)DOI
32 
Gรผรงlรผer, K. (2020), Investigation of the effects of aggregate textural properties on compressive strength and ultrasonic pulse velocity of concrete, Journal of Building Engineering, 30, 101278DOI
33 
Trtnik, T., Kavcic, F., Turk, G. (2009), Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks, Nuclear Engineering and Design, 239(3), 592-598.DOI
34 
Solรญs-Carcaรฑo, R.G., Moreno, E.I. (2008), Evaluation of concrete made with crushed limestone aggregate based on ultrasonic pulse velocity, Construction and Building Materials, 22(6), 1225-1231.DOI
35 
KISTEC (2014), A Development of Strength Estimation Technique for the High Strength Concrete (in Korean)Google Search
36 
RILEM CNDT-Committee (1980), RILEM Tentative Recommendations for In-situ Concrete Strength Determination by Non-Destructive Combined Methods(First draft) May, 1980Google Search
37 
Korean Agency for Technology and Standards (2017), Method of Obtaining and Testing Drilled Cores and Sawed Beams of Concrete (KS F 2422) https://www.kssn.net/search/stddetail.do?itemNo=K001010113844 (in Korean)URL
38 
Korean Agency for Technology and Standards (2017), Standard test method for compressive strength of concrete (KS F 2405-2017) https://kssn.net/search/stddetail.do?itemNo=K001010113654 (in Korean)URL
39 
Ramaniraka, M., Rakotonarivo, S.T., Payan, C., Garnier, V. (2019), Correlation between interfacial transition zone characteristics and ultrasonic wave velocity and attenuation in concrete, Cement and Concrete Research, 121, 35-44.Google Search
40 
Ministry of Land, Infrastructure and Transport (2020), Design Code for Durability of Concrete Structures (KDS 14 20 40), Korea Construction Standards Center (in Korean)Google Search
41 
Kim, M. H., Jeon, B. S., Park, S. H. (2015), A Study on the Predicction of Carbonation Depth in Aged Concrete Structures in Urban Areas, Proceedings of the Korea Concrete Institute, 235-236. (in Korean)Google Search
42 
Park, S. B., Lee, K. M. (2018), An Experimental Study on the Calculation of Carbonation Rate Coefficients of Concrete According to Environmental Exposure Conditions, Journal of the Korea Institute for Structural Maintenance and Inspection, 22(3), 45-52. (in Korean)Google Search
43 
Choi, H. K., Jung, Y. S., Kim, W. (2021), Proposal of Carbonation Evaluation and Remaining Service Life Prediction Model for Structures in Domestic Urban Environments, Journal of the Architectural Institute of Korea, 37(5), 112-120. (in Korean)Google Search