TY - GEN
T1 - Decision support system for optimum lifetime sustainability-based maintenance planning of highway bridges
AU - Sabatino, Samantha
AU - Frangopol, Dan M.
N1 - Publisher Copyright:
© ASCE.
PY - 2017
Y1 - 2017
N2 - Robust decision support for the optimum management of engineering systems must contain a module for structural performance assessment, which may be accomplished with life-cycle risk and sustainability assessment procedures. A performance indicator representative of sustainability effectively integrates indirect (e.g., environmental and social impacts), as well as, direct (e.g., economic impacts) impacts. Within this paper, lifetime functions are employed to model, using closed-form analytical expressions, the time-variant effect of intervention actions on the performance of civil infrastructure systems. Additionally, multi-attribute utility theory is used to incorporate the influence of the decision maker's risk attitude on the relative desirability of lifetime maintenance strategies. Furthermore, optimization procedures may carried out that simultaneously maximize the utilities associated with maintenance cost and sustainability in order to determine optimum maintenance strategies under uncertainty. The capabilities of the proposed decision support system, specifically the aspects related to the sustainability assessment, are illustrated on an existing highway bridge.
AB - Robust decision support for the optimum management of engineering systems must contain a module for structural performance assessment, which may be accomplished with life-cycle risk and sustainability assessment procedures. A performance indicator representative of sustainability effectively integrates indirect (e.g., environmental and social impacts), as well as, direct (e.g., economic impacts) impacts. Within this paper, lifetime functions are employed to model, using closed-form analytical expressions, the time-variant effect of intervention actions on the performance of civil infrastructure systems. Additionally, multi-attribute utility theory is used to incorporate the influence of the decision maker's risk attitude on the relative desirability of lifetime maintenance strategies. Furthermore, optimization procedures may carried out that simultaneously maximize the utilities associated with maintenance cost and sustainability in order to determine optimum maintenance strategies under uncertainty. The capabilities of the proposed decision support system, specifically the aspects related to the sustainability assessment, are illustrated on an existing highway bridge.
UR - http://www.scopus.com/inward/record.url?scp=85035224502&partnerID=8YFLogxK
U2 - 10.1061/9780784481196.007
DO - 10.1061/9780784481196.007
M3 - Conference contribution
AN - SCOPUS:85035224502
T3 - International Conference on Sustainable Infrastructure 2017: Methodology - Proceedings of the International Conference on Sustainable Infrastructure 2017
SP - 65
EP - 72
BT - International Conference on Sustainable Infrastructure 2017
A2 - Soibelman, Lucio
A2 - Pena-Mora, Feniosky
PB - American Society of Civil Engineers (ASCE)
T2 - 2017 International Conference on Sustainable Infrastructure: Methodology, ICSI 2017
Y2 - 26 October 2017 through 28 October 2017
ER -
