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Assaad, R and El-adaway, I H (2020) Enhancing the Knowledge of Construction Business Failure: A Social Network Analysis Approach. Journal of Construction Engineering and Management, 146(06), 04020052.

Chew, Y T E, Atay, E and Bayraktaroglu, S (2020) Female Engineers’ Happiness and Productivity in Organizations with Paternalistic Culture. Journal of Construction Engineering and Management, 146(06).

Dhal, M (2020) Labor Stand: Face of Precarious Migrant Construction Workers in India. Journal of Construction Engineering and Management, 146(06).

Herrera, R F, Mourgues, C, Alarcón, L F and Pellicer, E (2020) Understanding Interactions between Design Team Members of Construction Projects Using Social Network Analysis. Journal of Construction Engineering and Management, 146(06).

Hoseini, E, Bosch-Rekveldt, M and Hertogh, M (2020) Cost Contingency and Cost Evolvement of Construction Projects in the Preconstruction Phase. Journal of Construction Engineering and Management, 146(06).

Jang, Y, Song, K, Park, M and Ahn, Y (2020) Classifying the Business Model Types of International Construction Contractors. Journal of Construction Engineering and Management, 146(06).

Jin, Z and Gambatese, J (2020) Exploring the Potential of Technological Innovations for Temporary Structures: A Survey Study. Journal of Construction Engineering and Management, 146(06).

Li, G, Zhang, G, Chen, C and Martek, I (2020) Empirical Bid or No Bid Decision Process in International Construction Projects: Structural Equation Modeling Framework. Journal of Construction Engineering and Management, 146(06).

Li, S, Wu, X, Wang, X and Hu, S (2020) Relationship between Social Capital, Safety Competency, and Safety Behaviors of Construction Workers. Journal of Construction Engineering and Management, 146(06).

Liang, Y, Ashuri, B and Sun, W (2020) Analysis of the Variability of Project Cost and Schedule Performance in the Design-Build Environment. Journal of Construction Engineering and Management, 146(06).

Liu, X, Wang, X, Zhao, Y and Xia, N (2020) Solving Workplace Deviant Behavior in Construction by Leader–Member Exchange and Leader–Member . Journal of Construction Engineering and Management, 146(06), 04020061.

Lu, H, Behbahani, S, Azimi, M, Matthews, J C, Han, S and Iseley, T (2020) Trenchless Construction Technologies for Oil and Gas Pipelines: State-of-the-Art Review. Journal of Construction Engineering and Management, 146(06).

Mohammadi, A, Amador-Jimenez, L and Nasiri, F (2020) Reliable, Effective, and Sustainable Urban Railways: A Model for Optimal Planning and Asset Management. Journal of Construction Engineering and Management, 146(06).

Sherafat, B, Ahn, C R, Akhavian, R, Behzadan, A H, Golparvar-Fard, M, Kim, H, Lee, Y, Rashidi, A and Azar, E R (2020) Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review. Journal of Construction Engineering and Management, 146(06).

Shoieb, K, Serror, M H and Marzouk, M (2020) Web-Based Tool for Interoperability among Structural Analysis Applications. Journal of Construction Engineering and Management, 146(06).

  • Type: Journal Article
  • Keywords: Building information modeling (BIM); Industry foundation classes (IFC); Structural analysis domain; Interoperability; Construction industry;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001840
  • Abstract:
    Over the last decade, building information modeling (BIM) has been the main player in the architectural, engineering, construction, and operation (AECO) industry. The BIM workflow is becoming more powerful by progressively integrating more applications of the AECO industry. It is worth noting that further elaborations are still to take place to address the in-practice interoperability issues in which import and export information among applications need to be automated. This paper provides a comprehensive interoperability assessment in the structural analysis domain, where the available information exchange methods have been evaluated based on Likert scale criteria. Three scores are considered to evaluate the accuracy of information exchange, including complete transfer, partial transfer, and no transfer. The transfer is considered complete when geometry, static loads, boundary conditions, and material properties are successfully transferred. These four parameters represent the practical need for information exchange in terms of structural analysis in which each application is capable of running its solver to obtain the analysis results. Five commercial structural analysis applications are considered in the assessment, representing the most common in the field: SAP2000, ETABS, ROBOT, STAAD Pro, and RFEM. Based on the assessment results, a web-based structural analysis model converter (SAMC) is developed to enable ISO-based interoperability among structural analysis applications, building on the industry foundation classes (IFC) data model. SAMC has been validated for two applications, namely, SAP2000 and STAAD Pro, while the concept is proven to link any structural application that is willing to join the BIM workflow.

Yao, M, Wang, F, Chen, Z and Ye, H (2020) Optimal Incentive Contract with Asymmetric Cost Information. Journal of Construction Engineering and Management, 146(06).

Zhang, M, Cao, Z, Yang, Z and Zhao, X (2020) Utilizing Computer Vision and Fuzzy Inference to Evaluate Level of Collision Safety for Workers and Equipment in a Dynamic Environment. Journal of Construction Engineering and Management, 146(06).

Zhang, X and Tariq, S (2020) Failure Mechanisms in International Water PPP Projects: A Public Sector Perspective. Journal of Construction Engineering and Management, 146(06).