Fatigue Life Prediction of Powertrain Rubber Suspension Bushings Based on Multiple Damage Parameters Under Thermo‐Mechanical Coupling

ABSTRACT This study investigates a specific powertrain rubber suspension bushing using an N60 rubber material to develop dumbbell‐shaped specimens. Uniaxial tensile fatigue tests were conducted at 23°C, 60°C, and 90°C. Fatigue life prediction models were developed using four damage parameters: peak Green–Lagrange strain ; peak Almansi–Euler strain , peak engineering strain , and peak logarithmic strain . The model based on the Green–Lagrange strain showed the highest fitting accuracy. The study also investigated the impact of elevated temperature on rubber fatigue behavior, including a high‐temperature fatigue test on the bushing. A simulation using ABAQUS replicated actual operating conditions, and results were combined with the fatigue life prediction model. The predicted fatigue life, with the Green–Lagrange strain as the damage parameter, deviated from the experimental value by only 11.92%, demonstrating the model's effectiveness for evaluating durability under high temperature and reducing testing cost and time.

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Publication Details

Journal
Fatigue & Fracture of Engineering Materials & Structures
Published
2025-10-26
DOI
https://doi.org/10.1111/ffe.70117
Primary Topic
Elasticity and Material Modeling
Type
article
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article

Fatigue Life Prediction of Powertrain Rubber Suspension Bushings Based on Multiple Damage Parameters Under Thermo‐Mechanical Coupling

Hui Wang, Shiqiang Guan, Jun Zheng, Chao Wang et al.
Fatigue & Fracture of Engineering Materials & Structures
Elasticity and Material Modeling
article

Fatigue Life Prediction of Powertrain Rubber Suspension Bushings Based on Multiple Damage Parameters Under Thermo‐Mechanical Coupling

Hui Wang, Shiqiang Guan, Jun Zheng, Chao Wang, Ping Yu, Chen Hu, Anheng Wang
article en

Abstract

ABSTRACT This study investigates a specific powertrain rubber suspension bushing using an N60 rubber material to develop dumbbell‐shaped specimens. Uniaxial tensile fatigue tests were conducted at 23°C, 60°C, and 90°C. Fatigue life prediction models were developed using four damage parameters: peak Green–Lagrange strain ; peak Almansi–Euler strain , peak engineering strain , and peak logarithmic strain . The model based on the Green–Lagrange strain showed the highest fitting accuracy. The study also investigated the impact of elevated temperature on rubber fatigue behavior, including a high‐temperature fatigue test on the bushing. A simulation using ABAQUS replicated actual operating conditions, and results were combined with the fatigue life prediction model. The predicted fatigue life, with the Green–Lagrange strain as the damage parameter, deviated from the experimental value by only 11.92%, demonstrating the model's effectiveness for evaluating durability under high temperature and reducing testing cost and time.

Fatigue & Fracture of Engineering Materials & StructuresVol. 49(1)
Wuhu Institute of Technology (CN), Anhui Polytechnic University (CN)
Openalex Percentile: Top 70%
Elasticity and Material Modeling
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