桥梁退化模型及养护时机研究综述

为了准确把握桥梁结构性能退化规律,实现桥梁养护决策精准化、科学化,综述了桥梁性能退化的模型建立方法以及养护时机优化研究现状.调研了中外学者对桥梁性能退化规律和养护策略的研究成果,从物理模型、回归模型、随机模型、人工智能模型等四个方面分析了桥梁退化预测模型的研究进展,总结了桥梁养护时机优化问题的建立与解决方法.研究表明:...

Review of Research on Bridge Degradation Model and Maintenance Timing

In order to accurately grasp the law of bridge structural performance degradation and make bridge maintenance decision-making timely, scientific and systematic, the research status of bridge performance degradation model building methods and maintenance timing optimization are reviewed. Investigated the research results of domestic and foreign scholars on bridge performance degradation laws and maintenance strategies, analyzed the research progress of bridge degradation prediction models from four aspects: physical models, regression models, stochastic models, and artificial intelligence models, and summarized the optimization of bridge maintenance timing The establishment and solution of the problem, research shows: Neural network, dynamic Bayesian theory to modify the Markov model can determine the optimal transition probability to improve the prediction accuracy; efficient optimization algorithms such as cuckoo search, multi-objective optimization hybrid Algorithms can improve calculation efficiency and have research value. This research can provide a useful reference for scientific bridge maintenance strategies.