<p>This study introduces an innovative submodel-integrated multiscale analysis framework designed to predict the mechanical behavior of large-scale composite structures, with a specific focus on resin-rich regions (RRRs). The framework comprises two main computational components: one for validating against experimental data at the specimen level and another for simulating the behavior of larger structures. RRRs, often regarded as manufacturing-induced defects, play a critical role in influencing the structural integrity of composites by intensifying stress concentrations and promoting failure. This approach bridges macro-scale and meso-scale analyses, enabling seamless transfer of damage state information across scales. The key innovation lies in the detailed incorporation of submodels within RRRs, allowing for more accurate predictions of damage progression and structural failure. The proposed methodology is rigorously validated through experimental data at the specimen level, demonstrating its potential for guiding the design and optimization of carbon fiber-reinforced polymer structures.</p>

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Multiscale analysis of resin-rich regions in CFRP composites with submodel integration

  • Yilan Jing,
  • Haitao Zhao,
  • Mingqing Yuan,
  • Kai Liu,
  • Zhongjie Zhao,
  • Min Feng,
  • Tiebing Tian,
  • Ji’an Chen

摘要

This study introduces an innovative submodel-integrated multiscale analysis framework designed to predict the mechanical behavior of large-scale composite structures, with a specific focus on resin-rich regions (RRRs). The framework comprises two main computational components: one for validating against experimental data at the specimen level and another for simulating the behavior of larger structures. RRRs, often regarded as manufacturing-induced defects, play a critical role in influencing the structural integrity of composites by intensifying stress concentrations and promoting failure. This approach bridges macro-scale and meso-scale analyses, enabling seamless transfer of damage state information across scales. The key innovation lies in the detailed incorporation of submodels within RRRs, allowing for more accurate predictions of damage progression and structural failure. The proposed methodology is rigorously validated through experimental data at the specimen level, demonstrating its potential for guiding the design and optimization of carbon fiber-reinforced polymer structures.