Data-driven integration framework for 4D BIM simulation in modular construction: A case study approach

IF 4.8 2区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computational Design and Engineering Pub Date : 2023-11-13 DOI:10.1093/jcde/qwad100

Saddiq Ur Rehman, Inhan Kim, Jungsik Choi

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引用次数: 0

Abstract

Abstract Modular construction is becoming more popular because of its efficiency, cost-saving, and environmental benefits, but its successful implementation necessitates detailed planning, scheduling, and coordination. BIM and 4D simulation techniques have emerged as invaluable tools for visualizing and analyzing the construction process in order to meet these requirements. However, integrating distinctive data sources and developing comprehensive 4D BIM simulations tailored to modular construction projects present significant challenges. Case studies are used in this paper to define precise data needs and to design a robust data integration framework for improving 4D BIM simulations in modular construction. The validation of the framework in a real-world project demonstrates its efficacy in integrating data, promoting cooperation, detecting risks, and supporting informed decision-making, ultimately enhancing modular building results through more realistic simulations. By solving data integration difficulties, this research provides useful insights for industry practitioners and researchers, enabling informed decision-making and optimization of modular building projects.

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模块化建筑中数据驱动的四维BIM模拟集成框架:案例研究方法

模块化建筑因其高效、节约成本和环境效益而越来越受欢迎，但其成功实施需要详细的规划、调度和协调。为了满足这些要求，BIM和4D模拟技术已经成为可视化和分析施工过程的宝贵工具。然而，整合独特的数据源和开发针对模块化建筑项目的全面4D BIM模拟提出了重大挑战。本文使用案例研究来定义精确的数据需求，并设计一个强大的数据集成框架，以改进模块化施工中的4D BIM模拟。该框架在实际项目中的验证证明了其在整合数据、促进合作、检测风险和支持知情决策方面的有效性，并最终通过更现实的模拟增强了模块化构建结果。通过解决数据集成难题，本研究为行业从业者和研究人员提供了有用的见解，使模块化建筑项目的决策和优化成为可能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational Design and Engineering Computer Science-Human-Computer Interaction

CiteScore

7.70

自引率

20.40%

发文量

125

期刊介绍： Journal of Computational Design and Engineering is an international journal that aims to provide academia and industry with a venue for rapid publication of research papers reporting innovative computational methods and applications to achieve a major breakthrough, practical improvements, and bold new research directions within a wide range of design and engineering: • Theory and its progress in computational advancement for design and engineering • Development of computational framework to support large scale design and engineering • Interaction issues among human, designed artifacts, and systems • Knowledge-intensive technologies for intelligent and sustainable systems • Emerging technology and convergence of technology fields presented with convincing design examples • Educational issues for academia, practitioners, and future generation • Proposal on new research directions as well as survey and retrospectives on mature field.