Rapid simulation of building physical processes using the coarse-grain method
The paper is concerned with an artificial neural network (ANN) based coarse-grain method (CGM) for rapid simulation of physical processes in buildings, such transient heat-flow, fire propagation, and the circulation/dispersal of fumes or pathogens in a building. A primary objective of the approach i...
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| Format: | conferenceObject |
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2017
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| Online Access: | http://hdl.handle.net/10725/5731 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.researchgate.net/profile/Caesar_Abishdid/publication/268202030_Rapid_Simulation_of_Building_Physical_Processes_Using_the_Coarse-Grain_Method_A_Transient_Heat-Flow_Case_Study/links/548ebd970cf2d1800d844d7d.pdf |
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Internet
http://hdl.handle.net/10725/5731http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://www.researchgate.net/profile/Caesar_Abishdid/publication/268202030_Rapid_Simulation_of_Building_Physical_Processes_Using_the_Coarse-Grain_Method_A_Transient_Heat-Flow_Case_Study/links/548ebd970cf2d1800d844d7d.pdf