可靠性工程
桥(图论)
可靠性(半导体)
概率逻辑
缩小
工程类
投资(军事)
预防性维护
最佳维护
计算机科学
政治
物理
内科学
医学
量子力学
人工智能
功率(物理)
程序设计语言
法学
政治学
作者
Seung-Ie Yang,Dan M. Frangopol,Luís Neves
标识
DOI:10.1016/j.engstruct.2005.06.024
摘要
The highway networks of most European and North American countries are completed or close to completion. However, many of their bridges are aging, and in the United States alone a very significant part of the about 600,000 existing bridges is considered to be deficient and must be replaced, repaired or upgraded in the short term. The funds available for the maintenance of existing highway bridges are extremely limited when compared with the huge investment necessary, and must, therefore, be spent wisely. In this paper, a model based on lifetime functions for predicting the evolution in time of the reliability of deteriorating bridges under maintenance is presented. This model uses the probability of satisfactory system performance during a specified time interval as a measure of reliability and treats each bridge structure as a system composed of several components. In this manner, it is possible to predict the structural performance of deteriorating structures in a probabilistic framework. In addition, the optimum maintenance strategy is identified using as objective the minimization of the present value of the life-cycle maintenance cost. An existing bridge is analyzed using lifetime functions and its optimum maintenance strategy is found.
科研通智能强力驱动
Strongly Powered by AbleSci AI