由于自身固有属性的不确定性以及所处环境的复杂性，桥梁在设计、施工、运营等不同阶段都需要具备足够的可靠性。为了解桥梁工程可靠度研究与应用在2020年的最新动态，查阅文献对相关理论方法、不同阶段或环节的科研内容和成果进行归纳。在桥梁可靠度理论和方法方面，引入GPR模型、径向基神经网络等方式得到隐式结构功能函数，或引入Copula理论考虑多失效模式概率的关系；大量学者采用概率可靠性和非概率可靠性方法、蒙特卡罗数值模拟、时变可靠度理论等进行可靠性评估。既有桥梁的技术状况及可靠度仍然是国内外桥梁工程领域的热点，自然环境条件下桥梁抗力与外荷载的时变模型是桥梁时变可靠度分析与寿命预测的重点。可靠度理论及分析方法在桥梁工程设计中得到逐步的发展，考虑动态荷载作用随机性与结构参数随机性的动力可靠度研究与应用越来越多。

Due to the uncertainty of the inherent properties and the complexity of the environment, bridges need to have sufficient reliability in different stages of design, construction, and operation. In order to understand the latest developments in the research and application of bridge engineering reliability in 2020, the relevant theoretical methods, scientific research content and results at different stages are summarized through literature review. In terms of the bridge reliability theory and methods, GPR models and radial basis neural networks are introduced to obtain the implicit structural function functions. Copula theory is introduced to consider the relationship between the probability of multiple failure modes. The probabilistic reliability and non-probabilistic reliability Methods, Monte Carlo simulation, time-varying reliability theory, etc. are used for reliability evaluation. The technical status and reliability of existing bridges are still hot spots in the field of bridge engineering at home and abroad. The time-varying model of bridge resistance and external load under environmental conditions is the focus of the time-varying reliability analysis and the life prediction of bridges. Reliability theory and analysis methods have been gradually developed in bridge engineering design. There are more and more dynamic reliability studies and applications that consider the randomness of dynamic load action and the randomness of structural parameters.

国家自然科学基金(51878579)