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co.de.D Dec 2019: KCU Facade Part II - Computational Daylighting Analysis
Автор: AIA Detroit
Загружено: 2020-01-16
Просмотров: 1186
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This case study dives into how parametric modeling, data analytics and machine learning can change the relationship between engineer and architect. We will discuss how new technology changed our approach to designing and analyzing a complex façade. This workflow is an early example of what could become standard practice in the future.
Part II focuses on how we were able to build an analysis engine that allows the design team to understand, in real-time, the performance of any possible facade that our parametric model could generate.
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