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Effective determination of cyclic-visco-plasticity material properties using an optimisation procedure and experimental data exhibiting scatter

机译:使用优化程序和表现出分散性的实验数据有效测定循环粘塑性材料的性能

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摘要

It may be inevitable in the design and analysis of most high temperature components (such as power industry pipe work) that variations in load and/or temperature will occur in normal operation. This presents complications in the prediction of the response of such components due to potential hardening or softening effects caused by the accumulation of plastic strain. Furthermore, interactions between hardening (or softening) behaviour and creep may be observed, particularly in high temperature applications. In this paper, the Chaboche model is described as it has the potential to represent this type of behaviour. An optimisation procedure for fine tuning material constants is developed and presented. This is a key step as the determination of initial estimates requires several assumptions to be made. Several potential pitfalls in optimisation procedures are described and addressed, mainly through the application of experimental data cleaning as a pre-processing procedure. This removes unavoidable experimental scatter that inhibits optimisation. Investigations into the effects of variations in the initial conditions on optimised material constant values and the number of data points selected on computational times are made to aid in the application of similar optimisation procedures. The superior fitting given by the implementation of an optimisation procedure is verified by applying it to the results of strain controlled cyclic tests of a P91 steel at 600°C.
机译:在大多数高温组件(例如电力行业的管道工程)的设计和分析中,在正常运行中负载和/或温度的变化可能会不可避免。由于由塑性应变的积累引起的潜在的硬化或软化作用,这在预测此类部件的响应方面呈现出复杂性。此外,可以观察到硬化(或软化)行为与蠕变之间的相互作用,特别是在高温应用中。本文描述了Chaboche模型,因为它有可能代表这种类型的行为。开发并提出了用于微调材料常数的优化程序。这是关键的一步,因为确定初始估计值需要进行几个假设。主要通过应用实验数据清洗作为预处理程序来描述和解决优化程序中的几个潜在陷阱。这消除了抑制优化的不可避免的实验性分散。研究初始条件变化对优化的材料常数值的影响以及在计算时间选择的数据点数量,以帮助应用类似的优化程序。通过将优化程序应用于P91钢在600°C下的应变控制循环测试的结果,可以验证优化程序的实施所带来的优越拟合。

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