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首页> 外文期刊>Journal of Construction Engineering and Management >Maintenance Cost Optimization for Bridge Structures Using System Reliability Analysis and Genetic Algorithms
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Maintenance Cost Optimization for Bridge Structures Using System Reliability Analysis and Genetic Algorithms

机译：基于系统可靠性分析和遗传算法的桥梁结构维修成本优化

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摘要

Maintenance cost optimization and performance prediction of bridge structures have become important challenges in bridge management systems. The performance of bridge structures should be carefully monitored, especially in severe climatic conditions. The objective of this study is to develop a rational method that predicts the most cost-effective intervention schedule for bridges, where the structural safety is maintained with the minimum possible lifecycle cost. The framework functions through (1)a central database that contains the asset inventory along with the maintenance actions list, (2)a biquadratic system reliability-based deterioration model, (3)an intervention effect model that simulates the effect of undertaking various intervention scenarios on the bridge superstructure performance, (4)a financial model that computes the lifecycle costs throughout the planning horizon, and (5)an optimization model that utilizes a genetic algorithms engine to compare the different intervention scenarios and selects the most cost-effective one. This method is applied to a simply supported bridge superstructure case study, designed in accordance with Canadian highway bridge design standards. The results indicate that undertaking less costly minor repair actions may considerably reduce the lifecycle costs as a result of decreasing the number of costly major interventions. The optimum scenario resulted in an equivalent uniform annual cost of US$8,277 per year, which shows 4.5 times cost saving as compared with the conventional scenario where only major repairs are performed. This innovative combination of reliability analysis, nonlinear finite-element modeling, and genetic algorithms optimization supports asset managers in long-term planning and ensures undertaking rational and objective decisions.
机译：桥梁结构的维护成本优化和性能预测已成为桥梁管理系统中的重要挑战。应仔细监测桥梁结构的性能，尤其是在恶劣的气候条件下。这项研究的目的是开发一种合理的方法，该方法可以预测最经济有效的桥梁干预计划，其中以最小的生命周期成本维持结构安全。该框架通过（1）包含资产清单以及维护措施清单的中央数据库，（2）基于二次系统可靠性的恶化模型，（3）模拟采取各种干预方案的效果的干预效果模型来运行在桥梁上部结构的性能方面，（4）一种财务模型可以计算整个计划周期的生命周期成本，（5）一种优化模型可以利用遗传算法引擎比较不同的干预方案并选择最具成本效益的方案。该方法应用于根据加拿大公路桥梁设计标准设计的简单支撑的桥梁上部结构案例研究。结果表明，由于减少了昂贵的重大干预措施的数量，因此采取了成本较低的次要维修措施可以大大降低生命周期成本。最佳方案的结果是每年平均等效费用为8,277美元，与仅进行大修的传统方案相比，节省了4.5倍。这种可靠性分析，非线性有限元建模和遗传算法优化的创新组合为资产管理者的长期规划提供了支持，并确保他们做出理性和客观的决策。

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