Development of a P91 uniaxial creep model for a wide stress range with an artificial neural network

IF 1 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials at High Temperatures Pub Date : 2023-11-08 DOI:10.1080/09603409.2023.2276996

D. Baraldi, K.-F Nilsson, S. Holmström, I. Simonovski

引用次数: 0

Abstract

A uniaxial creep model that describes creep over a wide stress range was developed for P91 steel using an artificial neural network (ANN). The training dataset was based on measurements from uniaxial creep tests and information derived from a combination of the logistic creep strain prediction and the Wilshire models. The ANN model reproduces the training dataset with high accuracy (R2 = 0.975; RMSE (Root Mean Square Error) = 0.19). The model can be easily implemented in finite element analysis (FEA) codes since it provides an analytical expression of the true creep rate as a function of temperature, true stress and true creep strain. In FEA simulations under the same conditions as the training dataset, the model provides times to rupture and minimum creep rates very close to those in the training dataset. The model can be adapted for heats with different properties from the average behaviour of the training dataset by means of a stress-scaling factor.

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基于人工神经网络的P91大应力范围单轴蠕变模型的建立

利用人工神经网络(ANN)建立了P91钢的单轴蠕变模型，该模型描述了P91钢在大应力范围内的蠕变。训练数据集基于单轴蠕变试验的测量结果，以及logistic蠕变应变预测和Wilshire模型相结合的信息。人工神经网络模型对训练数据集的再现精度较高(R2 = 0.975;均方根误差(RMSE) = 0.19)。该模型可以很容易地在有限元分析(FEA)代码中实现，因为它提供了真实蠕变速率作为温度、真应力和真蠕变应变的函数的解析表达式。在与训练数据集相同条件下的有限元模拟中，该模型提供的断裂时间和最小蠕变速率非常接近训练数据集。该模型可以适应与训练数据集的平均行为不同性质的热，通过应力缩放因子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Materials at High Temperatures 工程技术-材料科学：综合

CiteScore

1.90

自引率

15.40%

发文量

审稿时长

>12 weeks

期刊介绍： Materials at High Temperatures welcomes contributions relating to high temperature applications in the energy generation, aerospace, chemical and process industries. The effects of high temperatures and extreme environments on the corrosion and oxidation, fatigue, creep, strength and wear of metallic alloys, ceramics, intermetallics, and refractory and composite materials relative to these industries are covered. Papers on the modelling of behaviour and life prediction are also welcome, provided these are validated by experimental data and explicitly linked to actual or potential applications. Contributions addressing the needs of designers and engineers (e.g. standards and codes of practice) relative to the areas of interest of this journal also fall within the scope. The term ''high temperatures'' refers to the subsequent temperatures of application and not, for example, to those of processing itself. Materials at High Temperatures publishes regular thematic issues on topics of current interest. Proposals for issues are welcomed; please contact one of the Editors with details.