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Framework for definition of design formulations from empirical and semi-empirical resistance models

机译:通过经验和半经验阻力模型定义设计公式的框架

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摘要

The study proposes a framework based on the Monte Carlo method for the probabilistic calibration of empirical and semi-empirical resisting models. The resisting models adopted in engineering practice may be based both on physical laws, such as equilibrium of forces, and on semi-empirical or empirical formulations. Precisely, empirical or semi-empirical resisting models are calibrated in order to fit experimental data and the direct application of partial safety factors to material properties does not allow a proper estimation of the structural reliability. For this reason, a probabilistic definition of design expressions from empirical or semi-empirical resisting models should be preferred to define a final formulation in agreement with a specific level of reliability. After a detailed description of the framework, its application to the probabilistic calibration of the semi-empirical model proposed by fib Model Code 2010 for the estimation of tensile strength of laps and anchorages in reinforced concrete structures is proposed.
机译:该研究提出了一个基于蒙特卡洛方法的经验和半经验抵抗模型的概率标定框架。工程实践中采用的抵抗模型既可以基于物理定律(例如力的平衡),也可以基于半经验或经验公式。精确地,校准经验或半经验抵抗模型以拟合实验数据,并且将部分安全系数直接应用于材料属性并不能正确估计结构的可靠性。出于这个原因,应该首选根据经验或半经验抗性模型对设计表达式进行概率定义,以与特定的可靠性水平相一致地定义最终公式。在对该框架进行了详细描述之后,提出了将其应用到fib模型代码2010提出的半经验模型的概率标定中,以评估钢筋混凝土结构中搭接和锚固的抗拉强度。

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