Towards BIM-Based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective

Author:

Afzal Muhammad1ORCID,Li Rita Yi Man2ORCID,Ayyub Muhammad Faisal3,Shoaib Muhammad1,Bilal Muhammad4

Affiliation:

1. Department of Architecture, Built Environment and Construction Engineering (DABC), Politecnico di Milano, 20133 Milano, Italy

2. Sustainable Real Estate Research Center, Department of Economics and Finance, Hong Kong Shue Yan University, North Point, Hong Kong 999077, China

3. Department of Civil, Chemical, Environmental, and Material Engineering—DICAM, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy

4. Department of Construction Engineering and Management, National University of Science and Technology (NUST), Islamabad 44000, Pakistan

Abstract

Structural design optimization (SDO) plays a pivotal role in enhancing various aspects of construction projects, including design quality, cost efficiency, safety, and structural reliability. Recent endeavors in academia and industry have sought to harness the potential of building information modeling (BIM) and optimization algorithms to optimize SDO and improve design outcomes. This review paper aims to synthesize these efforts, shedding light on how SDO contributes to project coordination. Furthermore, the integration of sustainability considerations and the application of innovative technologies and optimization algorithms in SDO necessitate more interactive early stage collaboration among project stakeholders. This study offers a comprehensive exploration of contemporary research in integrated SDO employing BIM and optimization algorithms. It commences with an exploratory investigation, employing both qualitative and quantitative analysis techniques following the PRISMA systematic review methodology. Subsequently, an open-ended opinion survey was conducted among construction industry professionals in Europe. This survey yields valuable insights into the coordination challenges and potential solutions arising from technological shifts and interoperability concerns associated with the widespread implementation of SDO. These preliminary steps of systematic review and industry survey furnish a robust foundation of knowledge, enabling the proposal of an intelligent framework for automating early stage sustainable structural design optimization (ESSDO) within the construction sector. The ESSDO framework addresses the challenges of fragmented collaboration between architects and structural engineers. This proposed framework seamlessly integrates with the BIM platform, i.e., Autodesk Revit for architects. It extracts crucial architectural data and transfers it to the structural design and analysis platform, i.e., Autodesk Robot Structural Analysis (RSA), for structural engineers via the visual programming tool Dynamo. Once the optimization occurs, optimal outcomes are visualized within BIM environments. This visualization elevates interactive collaborations between architects and engineers, facilitating automation throughout the workflow and smoother information exchange.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference151 articles.

1. Long term performance and fire safety aspect of FRP composites used in building structures;Lau;Constr. Build. Mater.,2016

2. Report, M.A. (2023, July 27). Civil Engineering Market Size, Share & Trends Analysis Report By Services (Planning & Design, Construction, Maintenance), by Application, by Customers, by Region, And Segment Forecasts, 2023–2030. Available online: https://www.grandviewresearch.com/industry-analysis/civil-engineering-market.

3. Automated design and modeling for mass-customized housing. A web-based design space catalog for timber structures;Bianconi;Autom. Constr.,2019

4. Afzal, M. (2019). Evaluation and Development of Automated Detailing Design Optimization Framework for RC Slabs Using BIM and Metaheuristics. [Ph.D. Thesis, Hong Kong University of Science and Technology].

5. Intelligent automation and optimization of reinforced concrete dual systems for earthquake resisting buildings in a BIM environment;Bourahla;J. Build. Eng.,2023

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3