{"title":"An open-source computational wind load evaluation workflow for tall building design","authors":"Christopher J. Howlett, Girma T. Bitsuamlak","doi":"10.1016/j.advengsoft.2026.104117","DOIUrl":null,"url":null,"abstract":"<div><div>Wind load evaluation (WLE) of tall buildings is a complex process as multiple factors influence the final results. The reliability of the evaluation is dependent on the analysis accuracy of each factor. Traditionally, wind tunnels have been the primary method of performing WLE studies but recent growth in computational resources has led to a wider adoption of computational-based wind engineering. However, for these computational studies to be used in research and practice, it is imperative that they maintain a high level of accuracy. The current study presents the development of an open-source computational-based WLE workflow for the design of tall buildings. The proposed workflow adapts established methods from wind tunnel studies and integrates them into a computational fluid dynamics (CFD)-based pipeline. Each step within the WLE analysis is discusses, along with the relevant background information. Separating each step of the WLE pipeline into a unique and modular component provides engineers and researchers with the foundational knowledge required to perform computational WLE studies. Finally, the effectiveness of the proposed workflow is validated using a WLE study performed in the wind tunnel.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"215 ","pages":"Article 104117"},"PeriodicalIF":5.7000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965997826000232","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/7 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Wind load evaluation (WLE) of tall buildings is a complex process as multiple factors influence the final results. The reliability of the evaluation is dependent on the analysis accuracy of each factor. Traditionally, wind tunnels have been the primary method of performing WLE studies but recent growth in computational resources has led to a wider adoption of computational-based wind engineering. However, for these computational studies to be used in research and practice, it is imperative that they maintain a high level of accuracy. The current study presents the development of an open-source computational-based WLE workflow for the design of tall buildings. The proposed workflow adapts established methods from wind tunnel studies and integrates them into a computational fluid dynamics (CFD)-based pipeline. Each step within the WLE analysis is discusses, along with the relevant background information. Separating each step of the WLE pipeline into a unique and modular component provides engineers and researchers with the foundational knowledge required to perform computational WLE studies. Finally, the effectiveness of the proposed workflow is validated using a WLE study performed in the wind tunnel.
期刊介绍:
The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.
The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability.