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Title Experimental Evaluation of Seismic Mechanical Splice for Slurry Wall Joint (SMS) Consisting of Steel Tube and Headed Bars
Authors 박순전(Soon-Jeon Park) ; 김성윤(Sung Yoon Kim) ; 김대영(Dae-Young Kim) ; 임인식(In-Sig Lim) ; 천성철(Sung-Chul Chun)
DOI https://doi.org/10.4334/JKCI.2022.34.4.441
Page pp.441-451
ISSN 1229-5515
Keywords 지하구조물 내진설계; SMS공법; 기계적 이음; 슬러리월 seismic design of sub-structures; SMS; mechanical splice; slurry wall
Abstract Seismic Mechanical Splice for Slurry Wall Joint (SMS) consisting of steel tubes and headed bars were invented to make panels to be monolithic walls in slurry walls, for the purpose of seismic design of sub-structures. Two types of failure mode were considered: (1) rotation of side flange of steel tube and side-concrete breakout failure and (2) rotation of front flange of steel tube and front-concrete breakout failure. These modes were suggested and models to predict bar strengths of the two failure modes were proposed. A total of 16 specimens were tested with three variables of thickness and design yield strength of the steel tube, and existence of additional reinforcing bars. Test results show that resisting capacities were governed by rotation of side flanges of steel tubes and side-concrete breakout failure. All specimens shows brittle failure due to concrete breakout. The ratios of capacities of confined-to-unconfined specimens range from 1.25 to 1.48, and the average of the ratios is 1.37. The strains at the corners of the steel tubes of the unconfined specimens are higher than those of the confined specimens, and are higher than the actual yield strains at the peak loads, but the strains of the confined specimens did not reach the actual yield strains at the peak loads. The ratios of test-to- predictions of the unconfined specimens ranged from 0.809 to 1.008, and the average and COV of the ratios are 0.921, and 7.05 %, respectively. The proposed model was modified by applying an additional reduction factor of 0.9 to the concrete breakout strength, and the average and COV of the test-to-prediction ratios improve to 1.01, and 6.78 %.