Lifetime cost optimization of structures by a combined condition–reliability approach

摘要: Cost optimization for the determination of most effective maintenance strategy deteriorating structures has recently been used by researchers and accepted experts. The main reasons this lie in strict requirements budgetary efficiency reliability structures. Accessible data directly related to structural performance include condition state, obtained from generally stipulated visual inspections, derived inspection or monitoring programs combined with numerical computations. In paper, a novel approach cost models profiles is described. Global can be achieved means multi-objective Cost-Optimized Condition-Reliability Profile (COCRP) approach. Since assessment under uncertainty, it essential embed COCRP concept full probabilistic framework. Probabilistic computations performed, even complex structures, within reasonable time using advanced Monte Carlo Methods such as Latin Hypercube Sampling. proposed allows realistic efficient treatment that involve uncertainties detects parameters having significant effects on lifetime cost.