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Clash Relevance Prediction Based on Machine Learning
Publisher: American Society of Civil Engineers
Abstract: Building information modeling (BIM) has been widely used for clash detection, which has greatly improved the coordination efficiency among multiple disciplines in construction projects. However, the accuracy of BIM-enabled ...
A Novel Shear Strength Prediction Approach for Headed Shear Studs Embedded in Ultrahigh-Performance Concrete
Publisher: ASCE
Abstract: Due to the excellent mechanical properties of ultrahigh-performance concrete (UHPC), the shear strength of stud–UHPC composite connections is significantly enhanced. Nevertheless, the underlying mechanism remains not fully ...
Analyzing Prefabricated Components Supply Chain Cooperation Patterns with Multiparty Dynamics Using Evolutionary Game Theory
Publisher: American Society of Civil Engineers
Abstract: Prefabricated construction has gained traction in sustainable construction practices. As a modular construction method, the prefabricated component (PC) supply chain involves key participants—producer, transporter, and ...
Deep Learning and Blockchain-Driven Contract Theory: Alleviate Gender Bias in Construction
Publisher: American Society of Civil Engineers
Abstract: In the construction industry, the advent of teleoperation and robotic technologies is revolutionizing traditional recruitment practices, introducing new criteria for identifying qualified workers. This evolution presents ...
Component Change List Prediction for BIM-Based Clash Resolution from a Graph Perspective
Publisher: ASCE
Abstract: Information technologies, such as building information modeling (BIM), significantly improve the clash detection process, but the clash resolution process is still time consuming. Although some studies have devoted attention ...