Predictive multiscale modeling for Unidirectional Carbon Fiber Reinforced Polymers

Jiaying Gao, Modesar Shakoor, Gino Domel, Matthias Merzkirch, Guowei Zhou, Danielle Zeng, Xuming Su, Wing Kam Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


This paper presents a predictive multiscale modeling scheme for Unidirectional (UD) Carbon Fiber Reinforced Polymers (CFRP). A bottom-up modeling procedure is discussed for predicting the performance of UD structures. UD material responses are computed from high fidelity Representative Volume Elements (RVEs). A data-driven Reduced Order Modeling approach compresses RVEs into Reduced Order Models so material responses can be computed in a concurrent fashion along with the structural level simulation. The approach presented in this paper is validated against experimental data and is believed to provide design guidance for future fiber reinforced polymers development.

Original languageEnglish (US)
Article number107922
JournalComposites Science and Technology
StatePublished - Jan 20 2020


  • Carbon fiber reinforced polymers
  • Data-driven
  • Integrated Computational Material and Engineering (ICME)
  • Multiscale modeling
  • Structural performance prediction

ASJC Scopus subject areas

  • Ceramics and Composites
  • Engineering(all)


Dive into the research topics of 'Predictive multiscale modeling for Unidirectional Carbon Fiber Reinforced Polymers'. Together they form a unique fingerprint.

Cite this