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Title: Probabilistic life-cycle cost-benefit analysis of portfolios of buildings under flood hazard
Authors: Dong, Y 
Frangopol, DM
Issue Date: 1-Jul-2017
Source: Engineering structures, 1 July 2017, v. 142, p. 290-299
Abstract: Nowadays, the number of residential buildings in flood prone zones is increasing significantly. Therefore, for these buildings, it is of vital importance to apply hazard risk mitigation strategies. In this paper, probabilistic cost-benefit analysis of flood risk mitigation strategies for portfolios of residential buildings is performed in a life-cycle context. Additionally, an efficient methodology is proposed to aid decision-makers on whether or not to retrofit portfolios of structures considering both expected and standard deviation of life-cycle cost. The vulnerability model of buildings under flood hazard is introduced considering serviceability and ultimate limit states. Probabilistic cost-benefit analysis is performed by comparing the effectiveness of different retrofit actions. Additionally, uncertainty and correlation effects are considered in the probabilistic loss and cost-benefit analysis procedures. The proposed approach is applied to a portfolio of residential buildings located in Florida to illustrate its capability and application. However, the proposed approach is general and can be applied to buildings located in other regions.
Keywords: Correlation
Flood
Life-cycle
Portfolio of buildings
Probabilistic cost-benefit analysis
Regional risk
Uncertainty
Publisher: Pergamon Press
Journal: Engineering structures 
ISSN: 0141-0296
EISSN: 1873-7323
DOI: 10.1016/j.engstruct.2017.03.063
Rights: © 2017 Elsevier Ltd. All rights reserved.
© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Dong, Y., & Frangopol, D. M. (2017). Probabilistic life-cycle cost-benefit analysis of portfolios of buildings under flood hazard. Engineering Structures, 142, 290-299 is available at https://doi.org/10.1016/j.engstruct.2017.03.063.
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