Parametrization-based solution space exploration for Model Healing

Jiabin Wu, Stavros Nousias, André Borrmann

Research output: Contribution to conferencePaperpeer-review

Abstract

Building Information Modelling (BIM) technologies have significantly improved building design efficiency. BIM-based Automatic Code Compliance Checking (ACCC) provides a robust way to evaluate whether building designs meet the construction codes and regulations. However, architects and designers usually have to alter the model manually to achieve code compliance by investigating the checking results. This process is effortful and error-prone since fulfilling one building rule might cause deficiencies in other requirements. To address this issue, this paper presents a solution space exploration workflow to find code-compliant building designs that are as close as possible to the original design. The proposed approach links the check results dynamically to design parameters. With sensitivity analysis, the initial high-dimensional solution space is dimensionally reduced. The identified valid alternatives constitute feasible regions where designs fulfill the regulations and are close to the original design. This paper contributes to automating the search for code-compliant designs close to the designers' intent, facilitating the model improvement process after compliance checking.

Original languageEnglish
StatePublished - 2023
Event30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023 - London, United Kingdom
Duration: 4 Jul 20237 Jul 2023

Conference

Conference30th International Conference on Intelligent Computing in Engineering 2023, EG-ICE 2023
Country/TerritoryUnited Kingdom
CityLondon
Period4/07/237/07/23

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