Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model

A micromechanical model of ductile fracture is applied for API X65 steel to predict ductile failure of a full-scale API X65 pipes with simulated corrosion and defects under internal pressure. The micromechanical model is the Gurson model, incorporating void nucleation, growth and coalescence where t...

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Main Author: Kim Sung, Chong
Format: Undergraduates Project Papers
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10625/1/Prediction%20of%20burst%20pressure%20on%20steel%20pipes%20using%20Gurson-Tvergaard-Needleman%20%28GTN%29%20model.pdf
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author Kim Sung, Chong
author_facet Kim Sung, Chong
author_sort Kim Sung, Chong
collection UMP
description A micromechanical model of ductile fracture is applied for API X65 steel to predict ductile failure of a full-scale API X65 pipes with simulated corrosion and defects under internal pressure. The micromechanical model is the Gurson model, incorporating void nucleation, growth and coalescence where the burst pressure is predicted based on the critical void volume fraction.The present study involves experimental comparison and numerical studies of the burst pressure of pipe under ductile fracture. The main objective of the present study is to determine the burst pressure of steel pipe using GursonTevaagard model. For the experimental, the results are from the previous research journal. For the finite element analysis, the pipe model is modeled as a 3 dimensional, quarter-model in MSC.PATRAN with MSC.MARC as nonlinear implicit solver. Results with proposed ductile fracture model indicates that predicted failure pressure attain maximum load for all cases, and are in good agreement with experimental data. It also showed that the burst pressure is decreasing for increasing defect depth and length. For the characters of void volume fraction, f, it can be seen that once the void reach void growth, it soon come to void coalescence, where the burst pressures are predicted at critical void and then fracture. The results from gouge defect varies in length is analyze based on the equivalent plastic strain, and the stress triaxially,  where void growth dependent on this two key quantities. Void volume fraction are examined based on the equivalent plastic strain and stress triaxiality on the normalize distance along the defect length and depth. It is found that distribution of equivalent plastic strain agreed well with the void volume fraction and the critical point occur at the defect tip along the defect depth and length.
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spelling UMPir106252023-11-03T01:16:42Z http://umpir.ump.edu.my/id/eprint/10625/ Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model Kim Sung, Chong TA Engineering (General). Civil engineering (General) A micromechanical model of ductile fracture is applied for API X65 steel to predict ductile failure of a full-scale API X65 pipes with simulated corrosion and defects under internal pressure. The micromechanical model is the Gurson model, incorporating void nucleation, growth and coalescence where the burst pressure is predicted based on the critical void volume fraction.The present study involves experimental comparison and numerical studies of the burst pressure of pipe under ductile fracture. The main objective of the present study is to determine the burst pressure of steel pipe using GursonTevaagard model. For the experimental, the results are from the previous research journal. For the finite element analysis, the pipe model is modeled as a 3 dimensional, quarter-model in MSC.PATRAN with MSC.MARC as nonlinear implicit solver. Results with proposed ductile fracture model indicates that predicted failure pressure attain maximum load for all cases, and are in good agreement with experimental data. It also showed that the burst pressure is decreasing for increasing defect depth and length. For the characters of void volume fraction, f, it can be seen that once the void reach void growth, it soon come to void coalescence, where the burst pressures are predicted at critical void and then fracture. The results from gouge defect varies in length is analyze based on the equivalent plastic strain, and the stress triaxially,  where void growth dependent on this two key quantities. Void volume fraction are examined based on the equivalent plastic strain and stress triaxiality on the normalize distance along the defect length and depth. It is found that distribution of equivalent plastic strain agreed well with the void volume fraction and the critical point occur at the defect tip along the defect depth and length. 2013-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/10625/1/Prediction%20of%20burst%20pressure%20on%20steel%20pipes%20using%20Gurson-Tvergaard-Needleman%20%28GTN%29%20model.pdf Kim Sung, Chong (2013) Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
spellingShingle TA Engineering (General). Civil engineering (General)
Kim Sung, Chong
Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model
title Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model
title_full Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model
title_fullStr Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model
title_full_unstemmed Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model
title_short Prediction of burst pressure on steel pipes using Gurson-Tvergaard-Needleman (GTN) model
title_sort prediction of burst pressure on steel pipes using gurson tvergaard needleman gtn model
topic TA Engineering (General). Civil engineering (General)
url http://umpir.ump.edu.my/id/eprint/10625/1/Prediction%20of%20burst%20pressure%20on%20steel%20pipes%20using%20Gurson-Tvergaard-Needleman%20%28GTN%29%20model.pdf
work_keys_str_mv AT kimsungchong predictionofburstpressureonsteelpipesusinggursontvergaardneedlemangtnmodel