Performance-based engineering and multi-criteria decision analysis for sustainable and resilient building design. (September 2018)

• Record Type: Journal Article
• Authors: Mosalam, Khalid M.; Alibrandi, Umberto; Lee, Hyerin; Armengou, Jaume
• Is Part Of: Structural safety. Volume 74(2018)
• Page Start: 1
• Page End: 13
• Publication Date: 2018-09
• Subjects: Building holistic design -- Decision making -- Energy-efficiency -- First-order reliability method -- Multi-criteria decision analysis -- Performance-based engineering; Structural stability -- Periodicals; Safety factor in engineering -- Periodicals; Reliability (Engineering) -- Periodicals; Constructions -- Stabilité -- Périodiques; Coefficient de sécurité en ingénierie -- Périodiques; Fiabilité -- Périodiques; 620.86
• DOI: 10.1016/j.strusafe.2018.03.005
• Languages: English
• ISSNs: 0167-4730

Abstract

Highlights: Developed a full probabilistic formulation of the Multi Attribute Utility Theory (MAUT) for holistic building design. Modeled uncertainties by random variables defined through the Performance-Based Engineering (PBE) approach. The new approach is applied to a hypothetical building in California demonstrating the benefits of this approach. Integrated framework is developed to take into account not only the safety of the building, but also environmental responsibility and energy consumption. In the decision-making model, the alternatives can be ranked through the adoption of quantiles and superquantiles and expected utility to account for risk-aversion of decision makers. Abstract: In this paper, an integrated approach for a holistic (involving notions of resiliency and sustainability) building design is presented to select the optimal design alternative based on multiple conflicting criteria using the multi-attribute utility theory (MAUT). A probabilistic formulation of MAUT is proposed, where the distributions of the uncertain parameters are determined by a performance-based engineering (PBE) approach. Here PBE is used to evaluate the building energy efficiency and sustainability in addition to structural safety. In the proposed framework, different design alternatives of a building are ranked based on the generalized expected utility, which is able to include the most adopted probabilistic decision models, like the expected utility and the cumulative prospect theory. The distributions of the utilities are obtained from the first-order reliability method to provide ( i ) good tradeoff between accuracy and efficiency, and ( ii ) rational decision making by evaluating the most critical realizations of the consequences of each alternative through the design point. The application of the proposed approach to a building shows that design for resilience may imply design for sustainability and that green buildings (alone) may be not resilient in the face of extreme events.