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Probabilistic Optimal Safety with Minimum Life-Cycle Cost Based on Stochastic Finite Element Analysis of Steel Cable-Stayed Bridges

机译:基于钢斜拉桥随机有限元分析的最小生命周期成本的概率最优安全性

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摘要

This study was intended to efficiently perform the probabilistic safety and optimal design assessment of steel cable-stayed bridges (SCS bridges) using stochastic finite element analysis (SFEA) and expected life-cycle cost (LCC) concept. To that end, advanced probabilistic finite element algorithm (APFEA) which enables to execute the static and dynamic SFEA considering aleatory uncertainties contained in random variable was developed. APFEA is the useful analytical means enabling to conduct the reliability assessment (RA) in a systematic way by considering the result of SFEA based on linearity and nonlinearity of before or after introducing initial tensile force. Appropriateness of APFEA was verified in such a way of comparing the result of SFEA of a simple structure and the result of numerical analysis using Monte Carlo Simulation (MCS) program. The probabilistic method of SCS bridges was set, taking into account of analytical parameters. The dynamic response characteristic by probabilistic method was evaluated using ASFEA, and RA was carried out based on analysis result, thereby quantitatively calculating the probabilistic safety. The optimal design of SCS bridges was determined based on the expected LCC according to the results of SFEA and RA of alternative designs. Moreover, given the potential epistemic uncertainty contained in safety index, failure probability and minimum LCC, the sensitivity analysis was conducted and as a result, a critical distribution phase was illustrated using a cumulative-percentile.
机译:这项研究旨在利用随机有限元分析(SFEA)和预期寿命周期成本(LCC)概念有效地进行钢斜拉桥(SCS桥)的概率安全性和最佳设计评估。为此,开发了先进的概率有限元算法(APFEA),该算法能够考虑随机变量中包含的不确定性来执行静态和动态SFEA。 APFEA是有用的分析工具,通过基于引入初始拉力之前或之后的线性和非线性考虑SFEA的结果,可以系统地进行可靠性评估(RA)。通过比较简单结构的SFEA结果和使用Monte Carlo Simulation(MCS)程序进行数值分析的结果,验证了APFEA的适当性。考虑到分析参数,设置了SCS桥的概率方法。使用ASFEA评估概率方法的动态响应特性,并根据分析结果进行RA,从而定量计算概率安全性。根据替代设计的SFEA和RA的结果,根据预期的LCC确定SCS桥的最佳设计。此外,考虑到安全指数,失效概率和最小LCC中包含潜在的认识不确定性,进行了敏感性分析,结果使用累积百分位数说明了临界分布阶段。

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