用双曲蠕变损伤模型和蒙特卡罗模拟方法预测304不锈钢的可靠性

Abir Hossain, C. Stewart
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引用次数: 4

摘要

通常基于连续损伤力学(CDM)的本构模型在不考虑实验不确定性的情况下被确定地应用。对于基于正弦双曲(Sinh) cdm的本构模型也是如此,该模型被校准为代表蠕变数据的50%可靠性。有必要以一种更随机的方式实施Sinh。本研究的目的是将概率特征纳入到Sinh蠕变损伤模型中,以可靠地预测最小蠕变应变率、蠕变破裂和蠕变变形。这将使用蒙特卡罗方法来实现。304不锈钢的蠕变变形数据来自文献,包括在600°C下300和320 MPa下进行的5次重复试验。重复试验在最小蠕变应变率、应力-破裂和整体蠕变变形方面显示出大量的分散。随后,在使用Sinh模型校准后,重复之间的材料常数发生变化。研究了各材料常数所带不确定度的变化趋势。评估材料常数的相互依赖性,以确定每个材料常数所携带的不确定性是否可以使用共依赖函数进行回归。在考虑材料常数变化的情况下,采用蒙特卡罗方法确定蠕变曲线的变化程度。蒙特卡罗模拟表明,预测的蠕变变形保持在实验数据的范围内。利用Sinh模型进行了大量蒙特卡罗模拟,为304不锈钢的最小蠕变应变率、应力破裂和蠕变变形建立了可靠的可靠性区间。在未来的工作中,这种统计方法将应用于使用条件、预先存在的缺陷和材料常数的可变性,以定量地建立Sinh模型在模拟部件级蠕变到破裂中的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability Prediction of 304 Stainless Steel Using Sine-Hyperbolic Creep-Damage Model With Monte Carlo Simulation Method
Typically continuum damage mechanics (CDM) based constitutive models are applied deterministically where the uncertainty of experiments is not considered. This is also true for the Sine-hyperbolic (Sinh) CDM-based constitutive model where the model is calibrated to represent 50% reliability of creep data. There is a need to implement Sinh in a more stochastic manner. The objectives of this study is to incorporate the probabilistic feature in the Sinh creep damage model to reliably predict the minimum-creep-strain-rate, creep-rupture and creep deformation. This will be achieved using Monte-Carlo methods. Creep deformation data for 304 Stainless Steel is collected from literature consisting of tests conducted at 300 and 320 MPa at 600°C with five replicates. The replicate tests exhibited substantial scatter in the minimum-creep-strain-rate, stress-rupture, and overall creep deformation. Subsequently, upon calibration using the Sinh model, the material constants among the replicates varied. The trends of uncertainty carried by each material constant are studied. The interdependence of the material constants is evaluated to determine if the uncertainty carried by each material constant can be regressed using a co-dependence function. The Monte Carlo method was applied to determine the extent that the creep deformation curve varies taking into consideration the variability of the material constants. Monte Carlo simulations show that the predicted creep deformation persists within the bounds of the experimental data. A large number of Monte Carlo simulations using the Sinh model enabled the creation of credible reliability bands for the minimum-creep-strain-rate, stress-rupture, and creep deformation of 304 Stainless Steel. In future work, this statistical method will be applied to the variability of service conditions, pre-existing defects, and material constants to quantitatively establish the reliability of the Sinh model in simulating component-level creep deformation to rupture.
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