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Korean Journal of Construction Engineering and Management

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
Online Submission

Current Issue : Vol.26 No.6, 2025-11

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Off-site Construction-based Precast Concrete Construction Characteristics Analysis and Key Management Factors Deduction in Supply Chain Management Perspective

Jeongeun Park ; Heejin Rho ; YeEun Jang ; JeongWook Son ; JuneSeong Yi

https://dx.doi.org/10.6106/KJCEM.2025.26.6.003

This study investigates supply chain management (SCM) strategies for precast concrete (PC) projects using offsite construction (OSC). Five domestic OSC-PC cases were analyzed using site observations and expert interviews. Based on the findings, the project process was classified into three key stages: production, inventory-transportation, and assembly. For each stage, critical management factors were identified. In the production stage, emphasis was placed on maintaining consistent quality and timely production through effective product and mold management. The inventory-transportation stage focused on optimal inventory control and timely material delivery. The assembly stage highlighted the importance of resource allocation and process coordination for efficient on-site installation. Additionally, the Analytic Hierarchy Process (AHP) was used to prioritize key management factors. The findings provide practical insights for developing future OSC platforms and improving the operational efficiency of OSC-PC projects.

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A Study on Analysis of Influencing Parameters and Advancement Strategy for Precision Enhancement in Drone-based Structural Verification Measurements

Heedam Jeong ; Minjae Lee ; Sukjoon Han ; Jehoon Lee ; Ducksun Park

https://dx.doi.org/10.6106/KJCEM.2025.26.6.018

The application of drone technology in structural verification measurements is rapidly expanding in civil engineering practices. However, comprehensive analysis of parameters affecting measurement precision, such as drone specifications, flight altitude, and Ground Control Point (GCP) configurations, requires further investigation. This study systematically analyzes these parameters through field measurements conducted on three bridge structures at highway construction sites. The experimental program evaluated four drone types with varying RTK capabilities, two distinct flight altitudes, and four GCP geometric configurations. Results demonstrated that the Matrice 300 RTK achieved optimal precision with a root mean square error (RMSE) of 1.2cm, while measurements at 10m altitude showed 44% improved precision compared to 20m altitude. Grid-pattern GCPs exhibited superior performance with an RMSE of 1.45cm, showing 30% improvement over triangular patterns. These results establish practical guidelines for precision enhancement in drone-based structural verification measurements.

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A Study on Functional Requirements and System Design of Mobile Electronic Forms for Plant Site Safety Management

Sanghyun Lee ; Minjae Lee

https://dx.doi.org/10.6106/KJCEM.2025.26.6.024

This study proposes a mobile-based electronic form system to enhance safety management in plant construction sites. Traditional paper-based methods often cause delays, redundant data entries, and limited legal validity, hindering effective oversight. To address these issues, the proposed system includes a user-friendly interface optimized for field use, real-time data synchronization, offline input capability, and electronic signatures to ensure legal compliance. It also features dynamic input functions such as conditional logic, automatic calculations, and multimedia attachments to improve data accuracy and usability. System requirements were derived from ICT trends, prior studies, international standards, and analysis of current documentation practices. Although the research focuses on conceptual design, the proposed framework offers a practical basis for digital transformation in construction safety. By enabling timely information sharing, structured reporting, and traceable documentation, the system is expected to improve operational efficiency, ensure regulatory compliance, and support a more proactive, strategic approach to safety management.

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Accuracy Analysis of Low-Cost Equipment-Based Length Measurement Technologies for the Digitalization of Construction Supervision

Changwoo Lee ; Heejae Ahn ; Seungho Song ; Harim Kim ; Hunhee Cho

https://dx.doi.org/10.6106/KJCEM.2025.26.6.033

Construction inspection ensures compliance with regulations, which primarily consists of manual measurements using tape measures. However, the reliance on manual operations leads to human errors such as measurement inconsistency and time inefficiency. While 3D scanners can serve as alternative digital solutions due to their high precision, their high cost and technical expertise requirements limit their widespread adoption. Recent advances in mobile technology have enabled more accessible alternatives through the integration of LiDAR sensors and AR frameworks; however, the lack of systematic field validation is hindering practitioners from confidently selecting the appropriate technologies. Accordingly, this study selected and evaluated four low-cost and accessible mobilebased measurement technologies (LiDAR, AR, Checkerboard-based, and Known Object-Based) under real construction site conditions. Each technology was tested with 1m, 2m, and 3m long objects at distances ranging from 3m to 10, with shooting angles varying from -60° to 60° in both shaded and wel-lit conditions. Measurement accuracy was evaluated against the 3% construction law standard. Known Object-Based achieved the highest accuracy (1.59-1.77%) across all conditions. LiDAR performed well within 3m (1.91-2.32%) but was unable to measure beyond 4m. AR measured up to 7m in well-lit conditions (2.17%) but declined to 4.05% in shaded environments. Checkerboard achieved 1.85% accuracy in well-lit conditions but struggled with pattern recognition in shaded environments. Measurement times ranged from 4.7-13.8 seconds. LiDAR and AR provide immediate on-site results, while Checkerboard and Known Object-Based require post-processing. This study provides evidence-based guidance for selecting digital measurement technologies based on site conditions, thereby supporting the digitalization of construction supervision.

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Effective Collision Detection Method for Autonomous Crane Path Planning - A Case-Based Simulation -

Woojoo Lee ; Sangmin Park ; SangHyeok Han ; Sungkon Moon

https://dx.doi.org/10.6106/KJCEM.2025.26.6.048

This study conducts an experimental comparison of collision detection techniques within the path planning process of autonomous cranes. Autonomous cranes are increasingly regarded as essential automated equipment for transporting heavy materials safely and efficiently; however, the risk of collision remains high in the confined and complex environments of construction sites. To address this challenge, three bounding volume methods? AABB (Axis-Aligned Bounding Box), OBB (Oriented Bounding Box), and CBV (Cylindrical Bounding Volume)?were integrated into an A*-based path planning simulation. The simulation was performed 50 times in a 3D environment modeled after a real heavy industrial project in Alberta, Canada, and the performance of each method was evaluated using three indicators: collision avoidance rate, path length, and computation time. Results showed that all three methods achieved a 100% collision avoidance rate, confirming their fundamental safety. Among them, OBB produced the most efficient path lengths, while CBV demonstrated the fastest computation times. These outcomes suggest that CBV provides a balanced alternative between precision and real-time applicability, and that the choice of technique should be strategically aligned with project goals and environmental constraints. Overall, this study offers empirical evidence to guide the selection of collision detection methods in autonomous crane path planning systems, contributing both academically and practically to the field of construction automation.

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Development of a Database Using Infrastructure Maintenance Records and a Repair Cost Estimation Model

Yeonwoo Nam ; Sugyeom Lee ; Ku-Hyuk Kwon ; Seokho Chi ; Tae-Hyung Lee ; Byoung-Gil Shin

https://dx.doi.org/10.6106/KJCEM.2025.26.6.057

As infrastructure continues to age, the accurate prediction of maintenance costs and the efficient allocation of limited budgets have become increasingly critical. However, in Korea, infrastructure assets are managed by various agencies, and inspection and maintenance records are fragmented across institutions, making integrated data utilization difficult. To address this challenge, this study established a standardized facility breakdown structure at the element level, based on national infrastructure maintenance regulations. Using this structure, historical maintenance records were systematically collected and organized into a cost database. Then, prediction models for unit repair costs were developed for major elements such as decks, piers, and drainage systems?according to their repair methods, using the Extreme Gradient Boosting (XGBoost) algorithm. These models aim to reflect the unique characteristics of element-level damage and maintenance practices. By providing accurate and reliable cost estimates, the proposed approach supports maintenance managers and policymakers in improving the precision and efficiency of planning processes. Furthermore, the results are expected to contribute to the development of a data-driven decision-making framework for mid- to long-term maintenance strategy and budget formulation.

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3D Reconstruction and Woker Recognition Techniques Based on Monocular Depth Estimation for Small and Medium-Sized Construction Site Applications

Seung Wook Min ; Changwon Jung ; Namhyuk Ham ; JaeJun Kim

https://dx.doi.org/10.6106/KJCEM.2025.26.6.065

The environment of the construction site is complex and there are various risk factors, making it difficult to recognize multiple workers and heavy equipment. The technology proposed in this study supplemented the limitations of the existing 2D depth information analysis and 3D point cloud reconstruction by applying a single RGB camera and neural network-based algorithm. This study verified reliable spatial reconstruction performance without using expensive sensors through experiments at actual construction sites, highlighting the possibility of practical application to small and medium-sized construction sites. Through quantitative evaluation using IoU indicators, the 3D point cloud-based object recognition technology showed an average improvement of about 19.34% compared to the 2D method. This research finding is expected to contribute to further developing safety management in the construction sector through the integration of the safety management system in various environmental variables in the future.

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Evaluation of National Technology Gaps in Carbon-Neutral City and Strategic Directions for International Collaboration

Dohyun Yang ; Jaehyun Hwang ; Joonwoo Baik ; Jiwon Lee ; Seokho Chi

https://dx.doi.org/10.6106/KJCEM.2025.26.6.076

Carbon-neutral city technologies are increasingly important for addressing climate change and achieving national decarbonization goals. Since these complex, multidisciplinary technologies require diverse expertise and resources beyond any single country's capacity, international collaboration is essential for effective development and deployment. This study evaluates the technological capacity of 12 countries using a technology assessment matrix with four categories comprising 32 indicators to identify strategic international partners. SWOT analysis identified the United States, Switzerland, the United Kingdom, Germany, and Singapore as optimal collaboration partners for South Korea, focusing on advanced technology development, sustainable construction, policy standardization, demonstration projects, and smart city integration, respectively. The findings are expected to support systematic international collaboration strategies in the construction management of carbon-neutral cities by providing actionable frameworks for project planning, technology integration, and partnership development.

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Development of LLM-Based Communication Framework for Multicultural Construction Work Environment

Taehoon Kang ; Youngseo Hwang ; Taehwan Cha ; Taehyeon Kim ; Hyein Ellen Cho ; Sungkon Moon

https://dx.doi.org/10.6106/KJCEM.2025.26.6.087

Conflicts in a construction project not only make negative impacts on project performance, such as schedule delays or cost overrun, but also require social costs to resolve. Although a conflict needs preemptive management because it usually begins with a complaint, existing studies have focused on conflict resolution after it occurs. This study identifies and categorizes complaints that mainly appear in construction projects. Those complaints were evaluated and quantified in terms of occurrence frequency and potential for conflict through a questionnaire survey with industry experts. Using the survey results, the study examines the characteristics of complaints in linear and clustered projects and analyzes what kinds of complaints occur by project type. Therefore, this study identifies the complaints with the highest potential for conflict that should be prioritized in the management of construction projects for each project type.

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