Hybrid building energy-structure performance analysis
Title: Hybrid building energy-structure performance analysis
Abstract:
Sustainability and resilience are becoming major objectives of the future built environment. Although each of them has been developed independently, there is limited research on holistic integration. This seminar (from a hybrid building energy-structure viewpoint) aims to address the challenge. To achieve this, a systematic study is performed, which includes elaborating fundamental relationships/interactions between energy/carbon and structural performance indicators based on different building types and features, bridging technical gaps of integrated and automated multi-physics simulations, and developing novel analytic methods including data analysis and Machine Learning under this multidisciplinary context.
Bio:
Yang Shen, A.M. of ASCE and M. of ASHRAE, got his PhD of Structural Engineering from Texas A&M University (2022). He is the Postdoc Research Fellow in George Mason University now. His research mainly focused on the highly interdisciplinary studies about the organic integration of sustainability, resilience, and intelligence in the built environment. Now his research interests are the Machine Vision/Machine Learning/Artificial Intelligence/Data Analysis applications in the structural engineering, building energy efficiency, optimization, identification, and controlling under the different spatial-temporal scales.
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- George Mason University
- Fairfax, Virginia
- United States 22030
- Building: Engineering Building
- Room Number: ENGR 1602
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- Co-sponsored by GMU CEIE