Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 33 results ...

Abubakar, M E, Hasan, A and Jha, K N (2022) Delays and Financial Implications of COVID-19 for Contractors in Irrigation Projects. Journal of Construction Engineering and Management, 148(09).

Adibfar, A and Costin, A M (2022) Creation of a Mock-up Bridge Digital Twin by Fusing Intelligent Transportation Systems (ITS) Data into Bridge Information Model (BrIM). Journal of Construction Engineering and Management, 148(09).

Alqahtani, F K, Alkhaldi, M, Alsaqer, T, Abotaleb, I S, Mohamed, A G and Dirar, S (2022) A Comparative Assessment of Advanced Construction Systems Incorporating Green Concrete. Journal of Construction Engineering and Management, 148(09).

Besaiso, H and Fenn, P (2022) How International Construction Arbitrators Make Their Decisions: Status of Commercial Norms and International Construction Law. Journal of Construction Engineering and Management, 148(09).

Cadenazzi, T, Keles, B, Rahman, M K and Nanni, A (2022) Life-Cycle Cost and Life-Cycle Assessment of a Monumental Fiber-Reinforced Polymer Reinforced Concrete Structure. Journal of Construction Engineering and Management, 148(09).

Cao, Q, Zou, X and Zhang, L (2022) Multiobjective Robust Optimization Model for Generating Stable and Makespan-Protective Repetitive Schedules. Journal of Construction Engineering and Management, 148(09).

Dayan, V, Chileshe, N and Hassanli, R (2022) A Scoping Review of Information-Modeling Development in Bridge Management Systems. Journal of Construction Engineering and Management, 148(09).

  • Type: Journal Article
  • Keywords: Bridge information modeling (BrIM); Bridge management system (BMS); Building information modeling (BIM); Bridge inspection; Image processing; Computer vision approaches; Cost management; Structural assessment; Maintenance optimization; Scoping review;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002340
  • Abstract:
    Transportation assets represent a critical element of public infrastructures, and bridge networks are an essential part of these assets. A system that includes several tools for managing the bridges is called a bridge management system (BMS). BMSs are built up to provide long-term health verification for bridges and assure safe serviceability. With the advent of powerful computers in the mid-1980s, BMSs became more electronic and, consequently, capable of processing more data than a paper system. Building information modeling (BIM) is an emerging technology with commanding visualization and informatization ability, making it a perfect tool for generating modern management systems. Bridge information modeling (BrIM) is a developed concept extracted from BIM that concentrates on bridges. In this paper, the use of BrIM in the development of bridge management systems during the recent decade is verified through a scoping review of the state-of-the-art literature. The broad nature of the scoping review provides chances for rapidly reviewing evidence in emerging topics and analyzing knowledge gaps; it is used to capture the cutting-edge concept of information modeling in the body of literature. In this study, search resulted in a final refined list of 78 journal articles published in the recent decade, categorized into six different topic areas. This paper aims to verify different aspects of using information modeling in bridge management and identify the knowledge gaps, limitations, and emergent works for industrial and academic investigators. Descriptive and content analyses are presented to clarify the researchers’ focal points in this review, which shows trending keywords, leading journals, and articles’ frequency in each field. This study indicates that the concentration of BrIM researchers is on new inspection and test methods and maintenance optimization with a particular focus on concrete structures.

Franz, B, Leicht, R, El Asmar, M and Molenaar, K (2022) Methodological Consistency for Quantitative Analysis and Reporting in Project Delivery System Performance Research. Journal of Construction Engineering and Management, 148(09).

García de Soto, B, Turk, Å, Maciel, A, Mantha, B, Georgescu, A and Sonkor, M S (2022) Understanding the Significance of Cybersecurity in the Construction Industry: Survey Findings. Journal of Construction Engineering and Management, 148(09).

Guo, D, Song, Z, Xu, T, Zhang, Y and Ding, L (2022) Coupling Analysis of Tunnel Construction Risk in Complex Geology and Construction Factors. Journal of Construction Engineering and Management, 148(09).

Hasan, A and Kamardeen, I (2022) Occupational Health and Safety Barriers for Gender Diversity in the Australian Construction Industry. Journal of Construction Engineering and Management, 148(09).

Kamma, R C and Jha, K N (2022) Quantifying Building Construction and Demolition Waste Using Permit Data. Journal of Construction Engineering and Management, 148(09).

Lasni, A and Boton, C (2022) Implementing Construction Planning and Control Software: A Specialized Contractor Perspective. Journal of Construction Engineering and Management, 148(09).

Lee, G and Lee, S (2022) Importance of Testing with Independent Subjects and Contexts for Machine-Learning Models to Monitor Construction Workers’ Psychophysiological Responses. Journal of Construction Engineering and Management, 148(09).

Liu, D, Hu, C, Guo, S and Yu, J (2022) . Journal of Construction Engineering and Management, 148(09).

Liu, J, Liu, J and Bu, Z (2022) Effects of Different Face-Saving Concerns on the Escalation of Commitment between State-Owned and Private Investors in PPP Projects. Journal of Construction Engineering and Management, 148(09).

Liu, M, Zhu, Y, Wei, J, Le, Y and Zhang, X (2022) Impact of Institutional Pressures on External Program Manager Involvement: Evidence from Large Projects in China. Journal of Construction Engineering and Management, 148(09).

Luo, L, Wu, X, Hong, J and Wu, G (2022) Fuzzy Cognitive Map-Enabled Approach for Investigating the Relationship between Influencing Factors and Prefabricated Building Cost Considering Dynamic Interactions. Journal of Construction Engineering and Management, 148(09).

Meng, Q and Zhu, S (2022) Construction Activity Classification Based on Vibration Monitoring Data: A Supervised Deep-Learning Approach with Time Series RandAugment. Journal of Construction Engineering and Management, 148(09).

Naji, K K, Gunduz, M and Naser, A F (2022) The Effect of Change-Order Management Factors on Construction Project Success: A Structural Equation Modeling Approach. Journal of Construction Engineering and Management, 148(09).

Okudan, O and Çevikbaş, M (2022) Alternative Dispute Resolution Selection Framework to Settle Disputes in Public–Private Partnership Projects. Journal of Construction Engineering and Management, 148(09).

Pan, M, Yang, Y, Zheng, Z and Pan, W (2022) Artificial Intelligence and Robotics for Prefabricated and Modular Construction: A Systematic Literature Review. Journal of Construction Engineering and Management, 148(09).

Qiao, J, Wang, C, Guan, S and Shuran, L (2022) Construction-Accident Narrative Classification Using Shallow and Deep Learning. Journal of Construction Engineering and Management, 148(09).

Tang, L, Chen, C, Li, H and Mak, D Y Y (2022) Developing a BIM GIS–Integrated Method for Urban Underground Piping Management in China: A Case Study. Journal of Construction Engineering and Management, 148(09).

Tavallaei, R, Mashayekhi, A, Harrison, N, Talebian, M and Moser, R (2022) BIM Adoption: A Case of Institutional Pressures and Top Management Support. Journal of Construction Engineering and Management, 148(09).

Tayebi Jebeli, M, Asadollahfardi, G and Abbasi Khalil, A (2022) Novel Application of Micro-Nanobubble Water for Recycling Waste Foundry Sand: Toward Green Concrete. Journal of Construction Engineering and Management, 148(09).

ter Huurne, R, Scholtenhuis, L O and Dorée, A (2022) Change Triggers in Early Innovation Stages: How Technology Pilots Enable Routine Reflection. Journal of Construction Engineering and Management, 148(09).

Tian, D, Liu, H, Chen, S, Li, M and Liu, C (2022) Human Error Analysis for Hydraulic Engineering: Comprehensive System to Reveal Accident Evolution Process with Text Knowledge. Journal of Construction Engineering and Management, 148(09).

Xu, Z, Liang, Y, Xu, Y, Fang, Z and Stilla, U (2022) Geometric Modeling and Surface-Quality Inspection of Prefabricated Concrete Components Using Sliced Point Clouds. Journal of Construction Engineering and Management, 148(09).

Yu, W, Wang, K and Wu, H (2022) Empirical Comparison of Learning Effectiveness of Immersive Virtual Reality–Based Safety Training for Novice and Experienced Construction Workers. Journal of Construction Engineering and Management, 148(09).

Zhang, J, Zhou, Q, Li, F and Zhang, S (2022) Case Study of Field Application of Prefabricated Anchoring Frame Beam Structure in Slope Supporting Projects. Journal of Construction Engineering and Management, 148(09).

Zhang, S, Bogus, S M, Lippitt, C D, Kamat, V and Lee, S (2022) Implementing Remote-Sensing Methodologies for Construction Research: An Unoccupied Airborne System Perspective. Journal of Construction Engineering and Management, 148(09).

Zhang, W, Yuan, G, Xue, R, Han, Y and Taylor, J E (2022) Mitigating Common Method Bias in Construction Engineering and Management Research. Journal of Construction Engineering and Management, 148(09).