Investigation on the Influence of Chemical Compounds in the Failure Mechanism Puncture Zones in Reinforced Rubber

This study investigates the fatigue failure of fiber-reinforced rubber used in automotive shock-absorbing elements subjected to cyclic loads. A quantitative simulation model integrated with material analysis to predict the service life and performance decay of these viscoelastic dampers was introduced. Failure is governed by a degradation factor that models accumulating fatigue damage and results in a predictable, cyclic loss of maximum force capacity; specifically, the model accurately predicts a 36.3% reduction in peak force (from 111.44 N to 70.97 N) over the first 10 fatigue cycles. Crucially, the model incorporates the non-linear stiffness behavior caused by a fiber pull-out mechanism, which transitions load resistance from high elastic integrity to lower frictional forces post-critical displacement. These findings establish a direct, quantitative link between microstructural failure (verified via SEM) and observed performance decay, offering key insights for maintenance planning and material selection.

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Publication Details

Journal
ChemEngineering
Published
2026-03-04
DOI
https://doi.org/10.3390/chemengineering10030037
Primary Topic
Elasticity and Material Modeling
Type
article
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article

Investigation on the Influence of Chemical Compounds in the Failure Mechanism Puncture Zones in Reinforced Rubber

Eliza Chircan, Dan Cristian Cuculea, Vasile Gheorghe
ChemEngineering
Elasticity and Material Modeling
article

Investigation on the Influence of Chemical Compounds in the Failure Mechanism Puncture Zones in Reinforced Rubber

Eliza Chircan, Dan Cristian Cuculea, Vasile Gheorghe
article en

Abstract

This study investigates the fatigue failure of fiber-reinforced rubber used in automotive shock-absorbing elements subjected to cyclic loads. A quantitative simulation model integrated with material analysis to predict the service life and performance decay of these viscoelastic dampers was introduced. Failure is governed by a degradation factor that models accumulating fatigue damage and results in a predictable, cyclic loss of maximum force capacity; specifically, the model accurately predicts a 36.3% reduction in peak force (from 111.44 N to 70.97 N) over the first 10 fatigue cycles. Crucially, the model incorporates the non-linear stiffness behavior caused by a fiber pull-out mechanism, which transitions load resistance from high elastic integrity to lower frictional forces post-critical displacement. These findings establish a direct, quantitative link between microstructural failure (verified via SEM) and observed performance decay, offering key insights for maintenance planning and material selection.

ChemEngineeringVol. 10(3)
Transylvania University of Brașov (RO)
Sustainable cities and communities
Openalex Percentile: Top 35%
Elasticity and Material Modeling
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