基于伽马过程的钢桥构件疲劳裂纹检测维护策略优化

发布时间：2018-10-16 19:39

【摘要】：针对钢桥构件疲劳裂纹问题,研究了基于伽马过程的疲劳裂纹增长过程模拟和疲劳失效概率;分析了检测概率和维护措施对钢桥构件疲劳使用寿命的影响以及钢桥构件疲劳裂纹全寿命周期检测维护成本;以最大化检测维护后疲劳使用寿命和最小化疲劳裂纹检测维护总成本为多目标优化函数,建立了基于伽马过程和遗传算法的钢桥构件疲劳裂纹检测和维护策略优化计算模型;最后对某钢桥桥面板加劲肋疲劳裂纹进行了优化分析。结果表明:检测维护成本随疲劳使用寿命期望值的增加而增加;对比1次检测维护策略,采用2次检测维护策略可在小幅增加检测维护成本的基础上大幅延长疲劳使用寿命;Pareto优化解集可提供多种不同检测维护成本和疲劳使用寿命要求的检测维护优化策略。
[Abstract]:Aiming at the fatigue crack problem of steel bridge members, the simulation of fatigue crack growth process and fatigue failure probability based on gamma process are studied. The influence of detection probability and maintenance measures on fatigue service life of steel bridge members and the cost of fatigue crack detection and maintenance of steel bridge members are analyzed. In order to maximize the fatigue service life and minimize the total cost of fatigue crack detection and maintenance, the optimization model of fatigue crack detection and maintenance strategy of steel bridge member based on gamma process and genetic algorithm is established. Finally, the fatigue crack of stiffened rib of a steel bridge deck is optimized. The results show that the cost of inspection and maintenance increases with the increase of fatigue life expectation. The fatigue service life can be significantly prolonged by using the two-time test maintenance strategy on the basis of a small increase in the inspection maintenance cost, and the Pareto optimization solution set can provide a variety of detection and maintenance optimization strategies with different testing and maintenance costs and fatigue service life requirements.
【作者单位】： 中南大学土木工程学院;格林威治大学工程科学系;
【基金】：国家自然科学基金项目(51478472) 英国皇家工程院牛顿基金项目(NRCP/1415/14) 湖南省自然科学基金项目(2015JJ2176) 国家公派出国留学基金项目(201506375059)
【分类号】：U446
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本文编号：2275426