作者: Giorgio Barone , Dan M. Frangopol
DOI: 10.1016/J.STRUSAFE.2014.02.002
关键词: Pareto principle 、 Performance indicator 、 Multi-objective optimization 、 Reliability (statistics) 、 Engineering 、 System requirements 、 Structural system 、 Optimal maintenance 、 Reliability engineering 、 Maintenance actions
摘要: Abstract In recent years, several probabilistic methods for assessing the performance of structural systems have been proposed. These take into account uncertainties associated with material properties, deterioration, and increasing loads over time, among others. When aging phenomena significant effects on life-cycle structure, it becomes essential to perform actions maintain or improve safety, in agreement system requirements available funds. Various optimization indicators proposed determination optimal maintenance plans simple complex systems. The aim this paper is twofold: (a) assess compare advantages drawbacks four different related multi-objective schedules deteriorating structures, (b) cost-efficiency solutions. Two annual indicators, reliability index risk, two lifetime (i.e., availability hazard functions) are used conjunction total cost evaluating Pareto fronts structures. Essential considered performed by using genetic algorithms. approach illustrated an existing bridge superstructure.