Korean Journal of Construction Engineering and Management

ISO Journal Title : Korean J. Constr. Eng. Manag.
Open Access Journal Bimonthly
  • ISSN (Print) : 2005-6095
  • ISSN (Online) : 2465-9703

A Case Study on the Need to Improve the Performance Requirement Level of the Military BTL Project

Kim, Jongmin ; Shin, Yoonseok

https://dx.doi.org/10.6106/KJCEM.2024.25.6.003

Request for proposal (RFP) and Output specification for the notification of military barracks should be prepared so that the creativity and efficiency of the private project implementer can be maximized. However, these are cases in which Request for proposal (RFP) and Output specification is not specific or the content presented is inaccurate. Accordingly, the competent authority should study and supplement the contents of the Output specification for the quality level of facilities and services to be provided, and describe it in detail and accurately. We present procedures and standards so that changes in military culture can be reflected during construction. of the project, user requirements, and climatic requirements, and facility standards should be specified. The purpose of this study is to increase the degree of completion of project execution through a rational design that meets the needs of the times and considers the total project cost.

An Analysis of Execution Capacity Value according to Proportion Change of the Appraisal Factors

Lee, Chijoo

https://dx.doi.org/10.6106/KJCEM.2024.25.6.015

An evaluation system for contractors’ construction capacity was introduced to provide information that the owner could refer to when selecting contractors. However, the overestimated execution capacity of contractors and the proportion gap between evaluation items can provide inaccurate information to owners. This study aims to provide reference data for policy decisions by analyzing the impact of changes in the proportion of evaluationㅁ items on contractors’ execution capacity. If the upper limit of the estimated management value reduced from three-bagger times to 2.5 or 2 times of the estimated construction performance value and the upper limit of the estimated technical capacity value expanded from 0.5 to 1 time of the estimated construction performance value, the overestimated execution capacity value and management value will decrease, mainly for large-scale companies, while the estimated execution value for small-and medium-sized contractors working on technology development will increase. These changes will contribute to the balanced development of the construction industry and technological competitiveness.

BIM and OpenAI-based Model for Supporting Initial Construction Planning of Bridges and Tunnels

Hwang, Jungi ; Song, Seung Ho ; Lee, Changsu ; Ahn, Heejae ; Cho, Hunhee ; Kang, Kyung-In

https://dx.doi.org/10.6106/KJCEM.2024.25.6.024

BIM is a prominent technology for enhancing integrated construction information management and extensive stakeholder coordination. However, the difficulty of delivering practical construction planning in the initial design phase and the lack of qualified BIM experts within the industry are the challenges of BIM-based construction digitization. This research utilizes GPT-4.0, a large language model developed by OpenAI that has gained significant traction across academia and industry for its ease of use and effectiveness. The construction information was categorized into three distinct detail levels to derive construction schedules for NATM and the Extradosed bridge. Derived schedules were compared and analyzed against the actual schedules for accuracy. Only qualitative data were generated with the lowest detail level. With the highest detail level, which included structural information and commencement and completion dates, the quantitative data extracted exhibited an average error rate of 19.70% compared to the actual schedules, thus validating the use of GPT-4.0 for extracting relevant construction schedules. The quantitative data were subsequently processed via a classification system, establishing an information management process to be integrated with BIM models. These results contribute to achieving a better construction plan under the limited time and resources in the early design phase and facilitate broader BIM implementation throughout all phases of construction projects.

Standard Functional Breakdown Structure (FBS) and Metadata of Facility Asset Management (FAM) for Smart Factories

Jin, Zhenhui ; Lee, Heewoo ; Lee, Yunsub ; Jung, Youngsoo

https://dx.doi.org/10.6106/KJCEM.2024.25.6.034

One of the representative fields of the Fourth Industrial Revolution is the manufacturing-centered smart factory, and there was little consideration of the facilities. Therefore, the collaboration between the manufacturing industry and the construction industry can create synergy for mutual development. Recently, the supply of new facilities has decreased and the demand for maintenance and performance improvement is increasing. Also, the value of facilities was recognized as an investment asset. In addition, even in overseas construction, where the proportion of plant facilities is very high, there was a transition to a business form that involves capital investment, commissioning and operation. Therefore, asset management (AM) throughout the life-cycle of smart factory facilities is necessary. In this context, this study aims to define a functional breakdown structure (FBS) of facility asset management (FAM) for smart factories in construction management (CM). And then, metadata is built for various stakeholder that can mechanically share information with each other. To this end, 1) the concept of FAM was newly defined by integrating the concepts of AM, facility management (FM), CM, and operation management (OM), and the five high-level functions (level 1) were proposed as a generalized model. 2) The detailed functions for smart factories were identified with fourteen in level 2 and 41 in level 3. 3) Finally, a total of 60 business functions were set as classes, and the metadata was developed by the classes, which was published on the web. The developed metadata can help various stakeholder to exchange and share required information.

Current Surveying Status for Setting Out a Building on Construction Site and Inspecting Method a Building Layout Using 3D Laser Scanning

Kim, Hyunjun ; Kim, Ju-Yong ; Shin, Yoonseok

https://dx.doi.org/10.6106/KJCEM.2024.25.6.047

It is one of the most important tasks performed at the beginning stage of construction work, involving the setting out a building according to the design plan on the site. If the setting out a building deviates significantly from the design plan and exceeds legal tolerances, significant problems can arise in the completion and use of the building. Therefore, this study identified the current status of control surveying and verifying the setting out a building on a site, as well as the applicability of 3D laser scanners, which are increasingly useful in the smart construction era, to surveying and verification through case studies. As a result, it was confirmed that both construction managers of construction management companies and construction engineers of construction companies are aware of the importance of setting out a building and primarily attend to and confirm it during surveying and location verification. Additionally, it was found that civil subcontractor engineers, surveying specialists, frame carpenters' foremen, etc. take the lead when carrying out surveys for benchmarks and profiles. Accordingly, construction architectural engineers felt the need for instruments like 3D laser scanners, which could be directly handled, to be introduced not only to verify surveying but also to perform various quality control measures. If used for a variety of activities, it is believed that more precise building construction will be possible, contributing to improving the competitiveness of the construction industry.

Comparative Analysis of Economic Contribution and Spillover Effects by Construction Investment

Kim, Myeongsoo

https://dx.doi.org/10.6106/KJCEM.2024.25.6.057

This study analyzes the contribution of construction investment to the national economy using the approaches of contribution ratio and contribution degree. Based on the input-output table of the Bank of Korea, the study examines the economic effects of investments in specific construction sectors through coefficients of production, value-added, and employment inducement. The effects of construction investment on various industries were analyzed using influence coefficients and sensitivity coefficients. The main findings of this study are as follows: First, the degree to which construction investment contributes to national economic growth is decreasing. However, this is due to a reduction in the scale of construction investment. Second, the inducement effects of construction investment?namely, production, value-added, and employment inducement coefficients?though subject to slight variations, consistently remain at a significant level and are higher than those of the manufacturing sector. Third, the economic contribution of residential construction investment is substantial. The production inducement is prominent in the building construction sector, while employment inducement is notably high in the civil engineering sector. Particularly, the repair and maintenance sector shows significantly high inducement and influence coefficients. Fourth, construction investment has an influence coefficient greater than 1, indicating that it has a strong effect in promoting the growth of other industries. The impact of construction investment on other industrial activities is greater than the influence of other industries on the construction sector, highlighting the importance of direct construction investment. Fifth, in conclusion, the effect of construction investment remains significant. However, the decreasing economic contribution is due to the fact that the increase in construction investment is not as large as the growth in the overall economy.

Investigation of Construction Duration Influence Factors and Comparison of Artificial Intelligence Methods for Estimating Appropriate Construction Duration in Public Sewerage Construction

Lee, Kangyoung ; Ding, Zishan ; ? ? Im, Jin-bin

https://dx.doi.org/10.6106/KJCEM.2024.25.6.066

Due to the inability to allocate appropriate construction duration, issues such as construction quality defects and poor workmanship are arising. While general construction projects utilize guidelines for determining construction periods, there has been a lack of guidelines that reflect the specific characteristics of public sewerage pipeline construction, such as extensive outdoor work. This study proposes a guidelines for determining appropriate construction duration for public sewerage pipelines by examining perceptions of factors that delay construction timelines through surveys of experts, based on guidelines for general construction. Additionally, to predict appropriate construction duration, real construction data from 83 projects were used, setting the length of new pipelines, total construction cost, and number of months delayed as independent variables, and the construction period as the dependent variable. The prediction model utilized multiple linear regression, support vector regression, and long short-term memory models, and models were evaluated using the mean absolute error, mean absolute percentage error, and root mean square error. The results indicated that the multiple regression analysis model showed the lowest error in all categories, making it the optimal model for predicting public sewerage construction duration.

Development of a Standard Procurement Framework for Public Experience Facility Construction Projects

Song, Hyunjang ; Lee, Seunghoon ; Lee, Sanghoon ; Hyun, Chang-Taek

https://dx.doi.org/10.6106/KJCEM.2024.25.6.075

Recently, construction projects for public experience facilities, which serve as public goods, have been increasingly undertaken by the government, local authorities, and educational offices. In particular, the management of experience facilities requires the owner to handle the interface between the construction and exhibition content segments. Public agencies that do not frequently undertake construction projects and lack internal project management capabilities require an integrated procurement management system capable of managing construction project orders throughout the entire lifecycle. This study investigated the current state of the procurement system for public experience facilities, identified existing issues, and proposed directions for improvement. As a result of this study, a standard procurement framework and three operational models for public experience facility construction projects were proposed.

Investigation of individual differences in thermal comfort of elderly residential spaces: Utilizing IoT-based physiological model

Lee, Junsoo ; Koo, Choongwan

https://dx.doi.org/10.6106/KJCEM.2024.25.6.086

Ensuring the elderly enjoy comfortable indoor environments is essential for their well-being. While prior research has assessed thermal comfort using the PMV index provided by ISO/ASHRAE, but relied on standardized values for metabolic rate, limiting accuracy. This study aimed to address this challenge by evaluating the elderly's actual thermal comfort, factoring in their activity levels via heart rate-based metabolic rate. In this study, a livinglab environment was established in six residential spaces for the elderly located in Gimje, and the collected data were analyzed. Initial analysis involved grouping residential spaces with similar indoor thermal environments, followed by assessing differences in perceived thermal comfort among the elderly in similar environments. Results revealed the elderly tended to perceive warmer thermal environments (‘PMV_HR’) than the indoor environment (‘PMV_Table’) when it was cooler than usual. Further analysis highlighted significant differences in perceived thermal comfort even within similar indoor environments. This approach offers a precise understanding of the elderly thermal comfort, facilitating the formulation of targeted improvement strategies. Furthermore, it lays the groundwork for shaping welfare policies in residential spaces for the elderly.