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A Decision Support Tool for Sustainable and Resilient Building Design

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Risk and Reliability Analysis: Theory and Applications

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

Abstract

In this chapter, an integrated approach for a holistic (involving notions of safety, resiliency and sustainability) building design is presented to select the optimal design alternative based on multiple conflicting criteria under uncertainty. A probabilistic framework of the Multi-Attribute Utility Theory (MAUT) is adopted, where MAUT is developed in conjunction with Performance-Based Engineering (PBE) approach, giving rise to a general framework, namely the PBE-MAUT. In PBE-MAUT different design alternatives may be ranked based on the expected utility. The discrepancies from the expected utility theory may be modelled through a risk-averse modelling of the utility functions based on the individual perceptions, or a more detailed description of the consequences valuable to the decision makers. Moreover, a risk-averse decision-maker towards extreme events can consider suitable quantiles or superquantiles. The distribution of the utility function is obtained from the First Order Reliability Method (FORM) which, through the design point, gives also the most critical realizations of the consequences for different degrees of risk aversion. The decision-making process is dynamic, in the sense that the optimal decision changes accordingly when new information is available. Such dynamic behavior is effectively represented using the Bayesian analysis, here modeled by combining PBE-MAUT with the Bayesian Network (BN). In this manner, the proposed framework represents a powerful Decision Support Tool (DST) for holistic building design. The BN, in conjunction with an array of sensors, can also be effectively used to determine the multi-criteria optimal decision considering the building lifecycle for a sustainable and resilient building design. The key features of the DST are demonstrated by an application to an office located on the Create Building, in Singapore.

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Acknowledgements

The presented research is funded by the Republic of Singapore’s National Research Foundation through a grant to the Berkeley Education Alliance for Research in Singapore (BEARS) for 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. The authors thank Dr. S. Günay and Prof. P. Gardoni for their reviews of earlier versions of the manuscript and for their valuable suggestions.

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Authors and Affiliations

  1. SinBerBEST – Singapore Berkeley Building Efficiency and Sustainability in the Tropics – Nanyang Technological University, 1 Create Way, 138062, Create Tower, Singapore

    Umberto Alibrandi

  2. Department of Civil and Environmental Engineering, University of California, 723 Davis Hall, Berkeley, CA, 94720-1710, USA

    Khalid M. Mosalam

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  1. Umberto Alibrandi
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  2. Khalid M. Mosalam
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Correspondence to Umberto Alibrandi .

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Editors and Affiliations

  1. Civil and Environmental Engineering, 3118 Newmark Civil Engineering Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA

    Paolo Gardoni

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Alibrandi, U., Mosalam, K.M. (2017). A Decision Support Tool for Sustainable and Resilient Building Design. In: Gardoni, P. (eds) Risk and Reliability Analysis: Theory and Applications. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-52425-2_22

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  • DOI: https://doi.org/10.1007/978-3-319-52425-2_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52424-5

  • Online ISBN: 978-3-319-52425-2

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