An empirical model for bending capacity of defected pipe combined with axial load
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Định dạng: | Bài Báo |
Ngôn ngữ: | English |
Nhà xuất bản: |
International Journal of Pressure Vessels and Piping
2021
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Truy cập trực tuyến: | https://www.sciencedirect.com/science/article/abs/pii/S0308016121000661?via%3Dihub#kwrds0010 https://dlib.phenikaa-uni.edu.vn/handle/PNK/1773 https://doi.org/10.1016/j.ijpvp.2021.104368 |
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oai:localhost:PNK-17732022-08-17T05:54:43Z An empirical model for bending capacity of defected pipe combined with axial load Phan, Hieu Chi Le, Tien-Thinh Bui, Nang Duc Duong, Huan Thanh Pham, Tiep Duc Defected pipe Corrosion Bending capacity Empirical model Q1 Buried pipes suffer from various natural and human-related phenomena leading to the bending forces on such structures. The analytical models face obstacles such as the complications in modeling material behavior and the local stress concentration due to the appearance of defects are combined. This causes the accumulative over and under-estimation of pipe capacity due to the idealizations of full plastic stress distribution and location of defects at the most dangerous area, respectively. Consequently, such models are not appropriate in the case that defects are not located on the bending plane. The Finite Element, FE, approach is used to overcome these difficulties with the appearance of defects is randomly propagated around the pipe. Additionally, the bilinear material model is also applied accounting for the shape of actual stress-strain curves in a simplified manner. Various Finite Element Analyses are conducted consequently to have an extensive FE database with 772 samples labeled by the bending capacity of the corresponding pipe. To avoid the difficulties for users due to the requirement of coding skill, statistics, and advanced mathematics knowledge, and the implicit appearance of the conventional data-driven models, an empirical model, which can be explicitly expressed, has been developed. The main process of developing such a model is to optimize the design variables in the reduction factors. The objective function is chosen as the Mean Absolute Error of the predicted versus simulated reduction factor. The proposed model has been validated with the high accuracy of R-square at 0.9929 on the test set reveals an improvement compared to other available models. 2021-06-15T07:11:12Z 2021-06-15T07:11:12Z 2021 Article Working Paper https://www.sciencedirect.com/science/article/abs/pii/S0308016121000661?via%3Dihub#kwrds0010 https://dlib.phenikaa-uni.edu.vn/handle/PNK/1773 https://doi.org/10.1016/j.ijpvp.2021.104368 en International Journal of Pressure Vessels and Piping |
institution |
Digital Phenikaa |
collection |
Digital Phenikaa |
language |
English |
topic |
Defected pipe Corrosion Bending capacity Empirical model |
spellingShingle |
Defected pipe Corrosion Bending capacity Empirical model Phan, Hieu Chi An empirical model for bending capacity of defected pipe combined with axial load |
description |
Q1 |
author2 |
Le, Tien-Thinh |
author_facet |
Le, Tien-Thinh Phan, Hieu Chi |
format |
Article |
author |
Phan, Hieu Chi |
author_sort |
Phan, Hieu Chi |
title |
An empirical model for bending capacity of defected pipe combined with axial load |
title_short |
An empirical model for bending capacity of defected pipe combined with axial load |
title_full |
An empirical model for bending capacity of defected pipe combined with axial load |
title_fullStr |
An empirical model for bending capacity of defected pipe combined with axial load |
title_full_unstemmed |
An empirical model for bending capacity of defected pipe combined with axial load |
title_sort |
empirical model for bending capacity of defected pipe combined with axial load |
publisher |
International Journal of Pressure Vessels and Piping |
publishDate |
2021 |
url |
https://www.sciencedirect.com/science/article/abs/pii/S0308016121000661?via%3Dihub#kwrds0010 https://dlib.phenikaa-uni.edu.vn/handle/PNK/1773 https://doi.org/10.1016/j.ijpvp.2021.104368 |
_version_ |
1751856251867758592 |
score |
8.891145 |