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首页> 外文期刊>Journal of structural engineering >Probabilistic Calibration of Stress-Strain Models for Confined Normal-Strength Concrete
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Probabilistic Calibration of Stress-Strain Models for Confined Normal-Strength Concrete

机译：狭窄正常强度混凝土应力 - 应变模型的概率校准

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摘要

A probabilistic calibration for traditional deterministic stress-strain models of square confined concrete columns was conducted based on the proposed probabilistic stress-strain model and a large number of experimental data. The probabilistic models for both peak stress and peak strain (strain corresponding to peak stress) of confined normal-strength concrete (NSC) were established first based on the Bayesian theory and the Markov chain Monte Carlo method. Then, a probabilistic stress-strain model of confined NSC was established based on the proposed probabilistic models for peak stress and peak strain. Finally, the confidence level and computational accuracy of four typical deterministic stress-train models of confined NSC were calibrated based on the proposed probabilistic models and a large amount of experimental data. The proposed probabilistic models not only describe the probabilistic characteristics of peak stress, peak strain, and the stress-strain curve, but also provide an efficient approach to calibrate the confidence level and computational accuracy of traditional deterministic models. (C) 2021 American Society of Civil Engineers.
机译：基于所提出的概率应力 - 应变模型和大量的实验数据，进行了用于传统的规模限定混凝土柱的传统确定性应力 - 应变模型的概率校准。基于贝叶斯理论和马尔可夫链蒙特卡罗法，首先建立了屏蔽正常强度混凝土（NSC）的峰值应力和峰应变（应变对应于峰值应力的峰值）的概率模型。然后，基于所提出的峰值应力和峰应变的概率模型建立了局限性NSC的概率应力 - 应变模型。最后，基于所提出的概率模型和大量的实验数据，校准了四个典型的确定性应力列车模型的置信水平和计算准确性。所提出的概率模型不仅描述了峰值应力，峰值应变和应力 - 应变曲线的概率特征，而且还提供了校准了传统确定性模型的置信水平和计算准确性的有效方法。 （c）2021年美国土木工程师协会。

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