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A Simplified Ductile Fracture Model for Predicting Ultra-Low Cycle Fatigue of Structural Steels
Under strong earthquakes, steel structures are prone to undergoing ultra-low cycle fatigue (ULCF) fracture after sustaining cyclic large-strain loading, leading to severe earthquake-induced damage. Thus, establishing a prediction method for ULCF plays a significant role in the seismic design of stee...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910856/ https://www.ncbi.nlm.nih.gov/pubmed/35268892 http://dx.doi.org/10.3390/ma15051663 |
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author | Yu, Mingming Xie, Xu Li, Shuailing |
author_facet | Yu, Mingming Xie, Xu Li, Shuailing |
author_sort | Yu, Mingming |
collection | PubMed |
description | Under strong earthquakes, steel structures are prone to undergoing ultra-low cycle fatigue (ULCF) fracture after sustaining cyclic large-strain loading, leading to severe earthquake-induced damage. Thus, establishing a prediction method for ULCF plays a significant role in the seismic design of steel structures. However, a simple and feasible model for predicting the ULCF life of steel structures has not been recognized yet. Among existing models, the ductile fracture model based on ductility capacity consumption has the advantage of strong adaptability, while the loading history effect in the damage process can also be considered. Nevertheless, such models have too many parameters and are inconvenient for calibration and application. To this end, focusing on the prediction methods for ULCF damage in steel structures, with the fragile parts being in moderate and high stress triaxiality, this paper proposes a simplified uncoupled prediction model that considers the effect of stress triaxiality on damage and introduces a new historical-effect related variable function reducing the calibration work of model parameters. Finally, cyclic loading test results of circular notched specimens verify that the proposed model has the advantages of a small dispersion of parameters for calibration, being handy for application, and possessing reliable results, providing a prediction method for ULCF damage of structural steels. |
format | Online Article Text |
id | pubmed-8910856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89108562022-03-11 A Simplified Ductile Fracture Model for Predicting Ultra-Low Cycle Fatigue of Structural Steels Yu, Mingming Xie, Xu Li, Shuailing Materials (Basel) Article Under strong earthquakes, steel structures are prone to undergoing ultra-low cycle fatigue (ULCF) fracture after sustaining cyclic large-strain loading, leading to severe earthquake-induced damage. Thus, establishing a prediction method for ULCF plays a significant role in the seismic design of steel structures. However, a simple and feasible model for predicting the ULCF life of steel structures has not been recognized yet. Among existing models, the ductile fracture model based on ductility capacity consumption has the advantage of strong adaptability, while the loading history effect in the damage process can also be considered. Nevertheless, such models have too many parameters and are inconvenient for calibration and application. To this end, focusing on the prediction methods for ULCF damage in steel structures, with the fragile parts being in moderate and high stress triaxiality, this paper proposes a simplified uncoupled prediction model that considers the effect of stress triaxiality on damage and introduces a new historical-effect related variable function reducing the calibration work of model parameters. Finally, cyclic loading test results of circular notched specimens verify that the proposed model has the advantages of a small dispersion of parameters for calibration, being handy for application, and possessing reliable results, providing a prediction method for ULCF damage of structural steels. MDPI 2022-02-23 /pmc/articles/PMC8910856/ /pubmed/35268892 http://dx.doi.org/10.3390/ma15051663 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yu, Mingming Xie, Xu Li, Shuailing A Simplified Ductile Fracture Model for Predicting Ultra-Low Cycle Fatigue of Structural Steels |
title | A Simplified Ductile Fracture Model for Predicting Ultra-Low Cycle Fatigue of Structural Steels |
title_full | A Simplified Ductile Fracture Model for Predicting Ultra-Low Cycle Fatigue of Structural Steels |
title_fullStr | A Simplified Ductile Fracture Model for Predicting Ultra-Low Cycle Fatigue of Structural Steels |
title_full_unstemmed | A Simplified Ductile Fracture Model for Predicting Ultra-Low Cycle Fatigue of Structural Steels |
title_short | A Simplified Ductile Fracture Model for Predicting Ultra-Low Cycle Fatigue of Structural Steels |
title_sort | simplified ductile fracture model for predicting ultra-low cycle fatigue of structural steels |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910856/ https://www.ncbi.nlm.nih.gov/pubmed/35268892 http://dx.doi.org/10.3390/ma15051663 |
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