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Bai, S, Li, M, Song, L and Kong, R (2021) Developing a Common Library of Prefabricated Structure Components through Graphic Media Mapping to Improve Design Efficiency. Journal of Construction Engineering and Management, 147(01).
Ernstsen, S N, Whyte, J, Thuesen, C and Maier, A (2021) How Innovation Champions Frame the Future: Three Visions for Digital Transformation of Construction. Journal of Construction Engineering and Management, 147(01).
Joubert, F, Steyn, E and Pretorius, L (2021) Using the HAZOP Method to Conduct a Risk Assessment on the Dismantling of Large Industrial Machines and Associated Structures: Case Study. Journal of Construction Engineering and Management, 147(01).
Kim, H and Ham, Y (2021) Increasing Reliability of Participatory Sensing for Utility Pole Condition Assessment Using Fuzzy Inference. Journal of Construction Engineering and Management, 147(01).
Korb, S and Sacks, R (2021) Agent-Based Simulation of General Contractor–Subcontractor Interactions in a Multiproject Environment. Journal of Construction Engineering and Management, 147(01).
Li, M, Baek, M and Ashuri, B (2021) Forecasting Ratio of Low Bid to Owner’s Estimate for Highway Construction. Journal of Construction Engineering and Management, 147(01).
Love, P E D, Matthews, J and Fang, W (2021) Envisioning Rework in Practice: Emergent Insights from a Longitudinal Study. Journal of Construction Engineering and Management, 147(01).
Ma, L, Guo, H and Fang, Y (2021) Analysis of Construction Workers’ Safety Behavior Based on Myers-Briggs Type Indicator Personality Test in a Bridge Construction Project. Journal of Construction Engineering and Management, 147(01).
Mohamad, M and Tran, D Q (2021) Risk-Based Prioritization Approach to Construction Inspections for Transportation Projects. Journal of Construction Engineering and Management, 147(01).
Moon, S, Lee, G, Chi, S and Oh, H (2021) Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing. Journal of Construction Engineering and Management, 147(01).
Shabani Ardakani, S and Nik-Bakht, M (2021) Functional Evaluation of Change Order and Invoice Management Processes under Different Procurement Strategies: Social Network Analysis Approach. Journal of Construction Engineering and Management, 147(01).
Tai, H, Chen, J, Cheng, J, Wei, H, Hsu, S and Liu, H (2021) Determining Worker Training Time for Precast Component Production in Construction: Empirical Study in Taiwan. Journal of Construction Engineering and Management, 147(01).
Tetik, M, Peltokorpi, A, Seppänen, O, Leväniemi, M and Holmström, J (2021) Kitting Logistics Solution for Improving On-Site Work Performance in Construction Projects. Journal of Construction Engineering and Management, 147(01).
Wu, H, Qian, Q K, Straub, A and Visscher, H (2021) Stakeholder Perceptions of Transaction Costs in Prefabricated Housing Projects in China. Journal of Construction Engineering and Management, 147(01).
Wu, J, Sadraddin, H L, Ren, R, Zhang, J and Shao, X (2021) Invariant Signatures of Architecture, Engineering, and Construction Objects to Support BIM Interoperability between Architectural Design and Structural Analysis. Journal of Construction Engineering and Management, 147(01).
- Type: Journal Article
- Keywords: Building information modeling (BIM) interoperability; Structural analysis; Architectural design; Geometric signature; Material signature;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001943
- Abstract:
There has been an increasing demand in building information modeling (BIM) for structural analysis. However, model exchange between architectural software and structural analysis software, which is an essential task in a construction project, is not fully interoperable yet. Various studies showed missing information and information inconsistency problems during conversion of models between different software; the lack of foundational methods enabling a seamless BIM interoperability between architectural design and structural analysis is evident. To address this gap and facilitate more use of BIM for structural analysis, the authors develop invariant signatures for architecture, engineering, and construction (AEC) objects and propose a new data-driven method to use invariant signatures for solving practical problems in BIM applications. The invariant signatures and the data-driven method were tested in developing the interoperable BIM support tool for structural analysis through an experiment. Ten models were created/adopted and used in this experiment, including five models for training and five models for testing. An information validation and mapping algorithm was developed based on invariant signatures and training models, which was then evaluated in the testing models. Compared with a manually created gold standard, results showed that the desired structural analysis software inputs were successfully generated using the algorithm with high accuracy. The invariant signatures of AEC objects can therefore be expected to serve as the foundation of seamless BIM interoperability.
Yu, X and Ergan, S (2021) Key Variables in Determining Energy Shaving Capacity of Buildings during Demand Response Events. Journal of Construction Engineering and Management, 147(01).
Yu, X, Mehmood, K, Paulsen, N, Ma, Z and Kwan, H K (2021) Why Safety Knowledge Cannot be Transferred Directly to Expected Safety Outcomes in Construction Workers: The Moderating Effect of Physiological Perceived Control and Mediating Effect of Safety Behavior. Journal of Construction Engineering and Management, 147(01).
Zhang, S, Li, J, Li, Y and Zhang, X (2021) Revenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach. Journal of Construction Engineering and Management, 147(01).