Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes

<p dir="ltr">In the present study, the finite element method was applied to model the fatigue behavior of glassphalt and conventional mixtures. In order to assess the efficiency level of the presented model, all mixtures were tested using 4-point bending test. Accordingly, it can be...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mohammad Taghipoor (14152497) (author)
مؤلفون آخرون: Amid Tahami (17075266) (author), Masoud Forsat (14158980) (author)
منشور في: 2020
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author Mohammad Taghipoor (14152497)
author2 Amid Tahami (17075266)
Masoud Forsat (14158980)
author2_role author
author
author_facet Mohammad Taghipoor (14152497)
Amid Tahami (17075266)
Masoud Forsat (14158980)
author_role author
dc.creator.none.fl_str_mv Mohammad Taghipoor (14152497)
Amid Tahami (17075266)
Masoud Forsat (14158980)
dc.date.none.fl_str_mv 2020-11-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.ijfatigue.2020.105819
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Numerical_and_laboratory_investigation_of_fatigue_prediction_models_of_asphalt_containing_glass_wastes/24225658
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Materials engineering
Mechanical engineering
Finite element
Fatigue behavior
4-point bending test
Glassphalt
Flexural behavior
dc.title.none.fl_str_mv Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">In the present study, the finite element method was applied to model the fatigue behavior of glassphalt and conventional mixtures. In order to assess the efficiency level of the presented model, all mixtures were tested using 4-point bending test. Accordingly, it can be seen that there is high consistency between the laboratory results and outputs of 3D finite element model presented in this study in both conventional asphalt and glassphalt mixes. The estimation models have predicted the fatigue life of similar samples with only a 3% error. Also, laboratory results showed a 5% improvement in the fatigue performance of the glassphalt rather than conventional mixtures.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Fatigue<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.ijfatigue.2020.105819" target="_blank">https://dx.doi.org/10.1016/j.ijfatigue.2020.105819</a></p>
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identifier_str_mv 10.1016/j.ijfatigue.2020.105819
network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/24225658
publishDate 2020
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rights_invalid_str_mv CC BY 4.0
spelling Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastesMohammad Taghipoor (14152497)Amid Tahami (17075266)Masoud Forsat (14158980)EngineeringMaterials engineeringMechanical engineeringFinite elementFatigue behavior4-point bending testGlassphaltFlexural behavior<p dir="ltr">In the present study, the finite element method was applied to model the fatigue behavior of glassphalt and conventional mixtures. In order to assess the efficiency level of the presented model, all mixtures were tested using 4-point bending test. Accordingly, it can be seen that there is high consistency between the laboratory results and outputs of 3D finite element model presented in this study in both conventional asphalt and glassphalt mixes. The estimation models have predicted the fatigue life of similar samples with only a 3% error. Also, laboratory results showed a 5% improvement in the fatigue performance of the glassphalt rather than conventional mixtures.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Fatigue<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.ijfatigue.2020.105819" target="_blank">https://dx.doi.org/10.1016/j.ijfatigue.2020.105819</a></p>2020-11-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.ijfatigue.2020.105819https://figshare.com/articles/journal_contribution/Numerical_and_laboratory_investigation_of_fatigue_prediction_models_of_asphalt_containing_glass_wastes/24225658CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/242256582020-11-01T00:00:00Z
spellingShingle Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes
Mohammad Taghipoor (14152497)
Engineering
Materials engineering
Mechanical engineering
Finite element
Fatigue behavior
4-point bending test
Glassphalt
Flexural behavior
status_str publishedVersion
title Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes
title_full Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes
title_fullStr Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes
title_full_unstemmed Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes
title_short Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes
title_sort Numerical and laboratory investigation of fatigue prediction models of asphalt containing glass wastes
topic Engineering
Materials engineering
Mechanical engineering
Finite element
Fatigue behavior
4-point bending test
Glassphalt
Flexural behavior