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Holistic Design Platform for Sustainable and Resilient Building Design

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dc.contributor.authorAlibrandi, Umberto-
dc.contributor.authorMosalam, Khalid M.-
dc.date.accessioned2019-05-14T03:04:15Z-
dc.date.available2019-05-14T03:04:15Z-
dc.date.issued2019-05-26-
dc.identifier.citation13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019-
dc.identifier.isbn979-11-967125-0-1-
dc.identifier.otherICASP13-181-
dc.identifier.urihttps://hdl.handle.net/10371/153376-
dc.description.abstractIn this paper we introduce the Societal Holistic Design Platform (HDP) under uncertainty for sustainable and resilient building design. The integration of classical Risk Analysis, Stochastic Dynamics, Structural Health Monitoring, multicriteria Decision Making, Artificial Intelligence and IoT, gives rise to an innovative Cyber-Physical System under uncertainty centered around humans. The potential of the platform is presented through developed applications. Although the HDP is here applied to a building, it can be easily extended to any system of civil engineering. The proposed platform aims to lead the paradigm shift from the existing notion of Smart City to Resilient Engaged Community, targetting the sustainable development of the urban communities-
dc.description.sponsorshipThis research was funded by the Republic of Singapores National Research Foundation through a grant to the Berkeley Education Alliance for Research in Singapore (BEARS) for the Singapore Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) program. BEARS has been established by the University of California, Berkeley, as a center for intellectual excellence in research and education in Singapore. K.M. Mosalam is a core principal investigator of Tsinghua-Berkeley Shenzhen Institute (TBSI). The authors acknowledge the funding support from Sin-BerBEST and the partial support from TBSI.-
dc.language.isoen-
dc.titleHolistic Design Platform for Sustainable and Resilient Building Design-
dc.typeConference Paper-
dc.identifier.doi10.22725/ICASP13.181-
dc.sortNo819-
dc.citation.pages963-970-
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