文献类型：期刊文献

英文题名：Determination of elastoplastic properties of in-service pipeline steel based on backpropagation neural network and small punch test

作者：Song, Ming[1];Li, Xuyang[1];Cao, Yuguang[1];Zhen, Ying[1];Zhong, Jiru[2];Guan, Kaishu[2]

机构：[1]China Univ Petr East China, Coll Pipeline & Civil Engn, Qingdao 266580, Peoples R China;[2]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份：2021

卷号：190

外文期刊名：INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

收录：;EI(收录号：20210509860535);WOS:【SCI-EXPANDED(收录号:WOS:000637337400018)】；

基金：The authors gratefully acknowledge the support provided by the National Natural Science Foundation of China (51805543), the National Key Research & Development Program of China (2016YFC0802105, 2016YFC0802306), the Natural Science Foundation of Shandong Province of China (ZR2017BEE037), and the Fundamental Research and Application Funds of Qingdao City (16-5-1-47-jch).

语种：英文

外文关键词：Small punch test; Backpropagation neural network; True stress-strain curve; Finite element method; Pipeline steel

摘要：Evaluating the mechanical properties of materials of in-service pipelines without shutting down transportation has been always a challenge. A semi-destructive method for determining the true stress-strain curve of in-service natural gas pipeline steel based on backpropagation (BP) artificial neural network and small punch test (SPT) was proposed in this study. The load-displacement curves of 457 groups of different hypothetical materials were obtained by the verified finite element model of SPT within Gurson-Tvergaard-Needleman (GTN) damage parameters and used to train the neural network. The relationship between the load-displacement curve of the SPT and the true stress-strain curve of the conventional tensile test was established based on the trained neural network. The elastoplastic properties of in-service natural gas X80 pipeline steel were obtained by this method. The accuracy and wide applicability of the trained neural network were verified by the experimental results of four types of materials obtained by the SPT and conventional tensile test. This work demonstrates a semi-destructive method, which can be applied to derive the true stress-strain curve of the in-service pipeline steels to determine the elastoplastic properties only by the load-displacement curve of the SPT without performing conventional tensile test.