A stress-based model for fatigue life prediction of high density polyethylene under complicated loading conditions-Reference-Cited by-同舟云学术

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A stress-based model for fatigue life prediction of high density polyethylene under complicated loading conditions

Published:2019-02 Issue: Volume:119 Page:281-289
ISSN:0142-1123
Container-title:International Journal of Fatigue
language:en
Short-container-title:International Journal of Fatigue

Author:

Qi Zhengpan,Hu Ning^ORCID,Li Ziang,Zeng Danielle,Su Xuming

Funder

Ford University Research Program

Chinese National Natural Science Fund

Key Program for International Science and Technology Cooperation Projects of the Ministry of Science and Technology of China

Key Project of Natural Science Foundation of CQ CSTC

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,Modeling and Simulation

Reference73 articles.

1. Experimental studies on the uniaxial ratchetting of polycarbonate polymer at different temperatures;Lu;Polym Test,2014

2. An experimental study on uniaxial ratcheting of polycarbonate polymers with different molecular weights;Xi;Mater Des,2015

3. Accelerated ratcheting testing of polycarbonate using the time-temperature-stress equivalence method;Zhang;Polym Test,2015

4. Experimental observation on multiaxial ratchetting of polycarbonate polymer at room temperature;Lu;Polym Test,2016

5. Time-dependent uniaxial ratchetting of ultrahigh molecular weight polyethylene polymer: viscoelastic-viscoplastic constitutive model;Chen;J Appl Mech,2016

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1. The study of mechanical properties in sheaf-structured spherulite semi-crystalline polymers using a data-driven micromechanical model;Computational Materials Science;2024-03

2. Effect of the crack layer theory parameters on the discontinuous slow crack growth of high density polyethylene under fatigue loading;International Journal of Solids and Structures;2024-01

3. Constitutive behavior and failure prediction of crosslinked polymers exposed to concurrent fatigue and thermal aging: a reduced-order knowledge-driven machine-learned model;Journal of Materials Science;2023-12-22

4. From Nautical Waste to Additive Manufacturing: Sustainable Recycling of High-Density Polyethylene for 3D Printing Applications;Journal of Composites Science;2023-08-04

5. Experimental and probabilistic study of fatigue crack growth behavior of steel Q345qC under different stress ratios;Construction and Building Materials;2023-08

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