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基于非概率理论模型的在役RC桥梁可靠性研究
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摘要
由于传统的概率可靠性分析方法存在一定的局限性,工程界急需发展一种信息需求量小、计算成本较低、结果偏于保守的结构可靠性分析方法。自上世纪90年代Ben-Haim和Elishakoff提出非概率可靠性概念,历经10余年的发展,国内外学者在该领域做了大量的研究工作,使之成为一个热门研究方向。特别是基于区间模型的非概率可靠性理论,理论上已趋完善,已经应用于岩土、机械及航空领域。但由于算法的不足,制约了该理论在工程界的广泛应用。基于此,本文对区间模型非概率可靠性指标的算法进行了研究,特别注重与有限元数值分析相结合,为非概率可靠性理论的应用奠定基础。
     在役桥梁的可靠性评估一直以来是学者和管理部门关心的问题,针对现有评估方法的不足,本文将非概率可靠性评估体系引入到在役桥梁中,实施了基于承载能力极限状态和正常使用极限状态的非概率可靠性评估。在此基础上,完成了在役桥梁的寿命预测及阶段寿命预测。最后,探讨了在役桥梁反优化研究问题,为在役桥梁的维修加固提供技术支撑,并采用概率与非概率混合分析方法对在役桥梁进行了深入探讨。
     总之,本文首先解决了非概率可靠性指标的算法问题,在此基础上,将非概率可靠性理论引入到在役桥梁中进行运用,具体的研究内容如下:
     (1)针对目前非概率可靠性指标的常规算法及一维优化算法的不足,提出了改进一维优化算法,通过实例验证,证明了改进一维优化算法的有效性及可行性。改进一维优化算法主要针对极限状态方程明确的非概率可靠性指标求解,但当极限状态方程没有解析表达式时,则无法进行求解。因此,文章探讨了基于有限元的非概率响应面法,该方法能有效的求解极限状态方程不明确的结构的非概率可靠性指标。本文还提出了基于有限元的失效点寻优法,该法不需大量的有限元计算,迭代次数少,可广泛应用于结构的非概率可靠性评估。
     (2)桥梁是一个复杂的结构,所含的变量较多,若将每个变量按区间变量考虑进行非概率可靠性指标的求解,其工作量极大,甚至有时无法计算。同时,若对桥梁的每个变量都进行测量,需耗大量的人力和财力。因此,为非概率可靠性评估的变量选择提供依据,指导现场测量,同时,判断各参数的单调性,为基于有限元的非概率可靠性指标的算法提供支撑,本文对参数进行了灵敏性分析。
     (3)将非概率可靠性理论引入到在役桥梁中,分别建立在役桥梁的承载能力极限状态和正常使用极限状态的非概率可靠性评估,并在实桥中加以运用。
     (4)综合考虑混凝土碳化的时变性、混凝土强度的时变性、钢筋锈蚀的时变性、锈蚀后钢筋强度的时变性及汽车人群荷载的时变性,建立了基于承载能力极限状态的动态非概率可靠性模型,并进行寿命预测。同时,基于正常使用极限状态的裂缝宽度及挠度控制,提出了阶段寿命预测的概念。最后,对一实桥分别进行了整体和阶段寿命预测。
     (5)对在役桥梁的反优化设计进行了研究,分别建立了限载及加固方案两种反优化模型,通过实例验证了所提方法的有效性。概率与非概率相结合的混合模型将是未来研究的重点方向,在总结现有的混合模型的基础上,本文提出了一种新的概率-非概率混合模型,并对一实桥进行了混合模型的可靠性指标求解,通过比较分析,结果显示本文所提方法具有一定的实用性。
For limitation of traditional probabilistic reliability analysis, a kind of structural reliability analysis with small requirement for information, low calculating costs and conservative results has become an urgent need in the engineering field. Since the 90s of last century, with the concept of non-probabilistic reliability proposed by Ben-Haim and Elishakoff, after 10 years of development, scholars have done a lot of research work in this field and turned it into a hot research direction. Especially for the non-probabilistic reliability theory based on interval model, which has been perfected theoretically and applied in geotechnical, mechanical and aerospace fields. However, for lack of algorithm, wild application of this theory in the engineering filed was limited. On basis of this, the dissertation makes researches on algorithm of interval model non-probabilistic reliability. In addition, by combining finite element analysis, it lays foundation for application of non-probabilistic reliability theory.
     Reliability evaluation of existing bridge has long been a concern of scholars and management departments; based on inadequacies of existing assessment methods, this dissertation introduces non-probabilistic reliability evaluation system into existing bridge and makes non-probabilistic reliability evaluation based on limit state of carrying capacity and normal condition. On this basis, prediction for life and stage life of existing bridge is completed. Lastly, the dissertation discusses anti-optimization problem of existing bridges and provides technical supports for maintenance and strengthening of them; in addition, it also makes in-depth discussion for existing bridge by applying probabilistic and non-probabilistic analysis.
     In short, the dissertation first solves algorithmic problems of non-probabilistic reliability index. On this basis, it introduces non-probabilistic analysis into existing bridge. Specific researches are as follows:
     (1) Due to inadequacies of conventional algorithm and one-dimensional optimization algorithm of non-probabilistic reliability index, it proposes to improve one-dimensional optimization algorithm; through verification of samples, it proves effectiveness and feasibility on improvement of one-dimensional optimization algorithm. Improvement of one-dimensional optimization algorithm mainly aims at solving non-probabilistic reliability index with explicit limit state equation; however, if analytical expression is not available, then, it is unable to have solution. Therefore, this dissertation explores non-probabilistic response surface analysis (RSA) based on finite element; the method can effectively solve non-probabilistic reliability index with undefined structure in limit state equation. The dissertation also proposes Failure Point Optimization Method based on finite element, which is of no needs for large numbers of FEM (Finite Element Method) and iterations. The method can wildly be applied in structural evaluation of non-probabilistic reliability.
     (2) Bridge is a complex structure with relatively large variables. If we want to find solution of non-probabilistic reliability index with consideration of each variable as interval variable, the workload will be very large and sometimes it even could not be calculated. Simultaneously, large human and financial resources would be consumed if each variable of bridge were to be measured. Therefore, it provides evidence for variables of non-probabilistic reliability evaluation and guidance to on-site measurement. At one time, by judging monotonicity of each parameter and providing supports for algorithm of non-probabilistic reliability index based on finite element, the dissertation makes sensitivity analysis for parameters.
     (3) Introducing non-probabilistic reliability theory into existing bridge, establishing non-probabilistic reliability evaluations for limit state of carrying capacity and normal condition of existing bridge, and apply them in real bridges.
     (4) By considering time varying of concrete carbonation, concrete strength, steel corrosion, corroded steel strength and loads of cars and crowds synthetically, the dissertation establishes dynamic non-probabilistic reliability model based on carrying capacity limit state and predicts its life. Simultaneously, based on controls to crack width and deflection of normal limit state, it proposes the concept of stage life prediction. Finally, the dissertation makes prediction to overall and stage life of real bridge respectively.
     (5) By making researches to anti-optimization design of existing bridge, it establishes two types of anti-optimization models respectively:load limitation and reinforcement; and verifies effectiveness of the proposed methods via samples. Hybrid model combined by probability and non-probability will be the focus of future researches; based on summarization of existing hybrid model, the dissertation puts forward a kind of new probability and non-probability hybrid model and makes solution for reliability index of hybrid model. Results of coMParative analysis show that methods proposed in this dissertation have a certain amount of practicability.
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