当前位置: X-MOL 学术Autom. Constr. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimizing MEP design in early AEC projects through generative design
Automation in Construction ( IF 9.6 ) Pub Date : 2024-06-24 , DOI: 10.1016/j.autcon.2024.105566
Edgar Pestana , Andrew Paice , Shaun West

The digital transformation of the AEC industry through BIM has improved productivity during detailed design and construction planning phases. Early design choices influence a project's success but have yet to benefit from BIM-based approaches. This paper investigates the feasibility and acceptance of employing Generative Design (GD) to optimize early Mechanical, Electrical, and Plumbing (MEP) designs in residential real estate for space efficiency. Interviews indicate the main issue is acceptance due to the belief that a GD approach needs to be more robust. BIM is integrated with GD, utilizing the architectural layout (IFC) as input to generate design variants tailored to minimize technical space while ensuring installation feasibility. Robustness is assessed via Monte Carlo Simulation, revealing an estimated success rate of 99% (81% with 95% confidence). These results quantify the robustness of the approach, paving the way to broader acceptance of GD in the early phases of AEC projects.

中文翻译:


通过生成设计优化早期 AEC 项目中的 MEP 设计



AEC 行业通过 BIM 进行的数字化转型提高了详细设计和施工规划阶段的生产力。早期的设计选择会影响项目的成功,但尚未从基于 BIM 的方法中受益。本文研究了采用生成设计 (GD) 来优化住宅房地产中的早期机械、电气和管道 (MEP) 设计以提高空间效率的可行性和接受度。访谈表明,主要问题是接受度,因为人们相信 GD 方法需要更加稳健。 BIM 与 GD 集成,利用建筑布局 (IFC) 作为输入来生成量身定制的设计变体,以最大限度地减少技术空间,同时确保安装可行性。通过蒙特卡罗模拟评估稳健性,预计成功率为 99%(81%,置信度为 95%)。这些结果量化了该方法的稳健性,为 AEC 项目早期阶段更广泛地接受 GD 铺平了道路。
更新日期:2024-06-24
down
wechat
bug