{"title":"PyRCD—Object-oriented Python package for detailed multi-objective design optimization of reinforced concrete beams","authors":"Tabish Izhar, Syed Aqeel Ahmad, Neha Mumtaz","doi":"10.1016/j.simpa.2024.100691","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents an object-oriented Python package PyRCD for the design optimization of reinforced concrete (RC) beams. PyRCD provides a detailed solution to the optimization of RC beams including detailing. PyRCD uses a multi-level self-stopping pareto-dominated simulated annealing algorithm to minimize the overall weight, cost, and embodied carbon of the beam. The optimization is coupled with rigorous constructability constraints and safety checks, with the flexibility to adopt any design guidelines. PyRCD offers a unique general platform to realize practical RC beam design optimization. The package can boost students’ understanding and research in the field of design optimization of RC beams.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100691"},"PeriodicalIF":1.3000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000794/pdfft?md5=98ba292d926dd08b6f95adb2af1d20ea&pid=1-s2.0-S2665963824000794-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665963824000794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an object-oriented Python package PyRCD for the design optimization of reinforced concrete (RC) beams. PyRCD provides a detailed solution to the optimization of RC beams including detailing. PyRCD uses a multi-level self-stopping pareto-dominated simulated annealing algorithm to minimize the overall weight, cost, and embodied carbon of the beam. The optimization is coupled with rigorous constructability constraints and safety checks, with the flexibility to adopt any design guidelines. PyRCD offers a unique general platform to realize practical RC beam design optimization. The package can boost students’ understanding and research in the field of design optimization of RC beams.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
