What question did this study set out to answer?

Develop a multi-scale computational framework to predict fracture-fatigue damage accumulation in carbon fiber reinforced polymer composites subjected to cyclic thermo-mechanical loading at elevated temperatures.

July 1, 2026Composites Part C Open AccessOpen Access

Fracture-fatigue damage prediction in CFRP laminates: A multi-scale thermo-mechanical approach

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Authors

LRLokesh Raj HPHimanshu Pathak SZSunny Zafar

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Overview

Computational study predicts fatigue life and damage accumulation in carbon fiber composites under cyclic thermal stress, highlighting improved durability assessment for aerospace structures.

Key Points

Develop a multi-scale computational framework to predict fracture-fatigue damage accumulation in carbon fiber reinforced polymer composites subjected to cyclic thermo-mechanical loading at elevated temperatures.
Applied the Mori-Tanaka homogenization method to calculate mesoscale effective thermo-mechanical properties of laminates across 45%, 53%, and 59% fiber volume fractions.
Implemented macroscale tension-compression fatigue models using Tsai-Wu, Hoffman, and Rotem failure criteria in a custom COMSOL script below the polymer glass transition temperature.
Analyzed post-failure damage mechanisms and validated simulated fatigue life predictions against experimental measurements using scanning electron microscopy.
Macroscale simulations for tension-compression fatigue correlated well with experimental fatigue life measurements across all tested fiber volume fractions.
Scanning electron microscopy successfully identified key microstructural damage mechanisms responsible for fatigue-driven material failure under combined thermal and cyclic mechanical loads.

Cite This Study

Raj et al. (2026) studied this question.

synapsesocial.com/papers/6a71ed60a528af2d65c44005 https://doi.org/10.1016/j.jcomc.2026.100771

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July 1, 2026Composites Part C Open AccessOpen Access

Fracture-fatigue damage prediction in CFRP laminates: A multi-scale thermo-mechanical approach

View Full Paper

Ask AI

Bookmark

Authors

LRLokesh Raj HPHimanshu Pathak SZSunny Zafar

Discussion

Member takes

Overview

Computational study predicts fatigue life and damage accumulation in carbon fiber composites under cyclic thermal stress, highlighting improved durability assessment for aerospace structures.

Key Points

Develop a multi-scale computational framework to predict fracture-fatigue damage accumulation in carbon fiber reinforced polymer composites subjected to cyclic thermo-mechanical loading at elevated temperatures.
Applied the Mori-Tanaka homogenization method to calculate mesoscale effective thermo-mechanical properties of laminates across 45%, 53%, and 59% fiber volume fractions.
Implemented macroscale tension-compression fatigue models using Tsai-Wu, Hoffman, and Rotem failure criteria in a custom COMSOL script below the polymer glass transition temperature.
Analyzed post-failure damage mechanisms and validated simulated fatigue life predictions against experimental measurements using scanning electron microscopy.
Macroscale simulations for tension-compression fatigue correlated well with experimental fatigue life measurements across all tested fiber volume fractions.
Scanning electron microscopy successfully identified key microstructural damage mechanisms responsible for fatigue-driven material failure under combined thermal and cyclic mechanical loads.

Cite This Study

Raj et al. (2026) studied this question.

synapsesocial.com/papers/6a71ed60a528af2d65c44005 https://doi.org/10.1016/j.jcomc.2026.100771

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