Inverse Identification of Micromechanics and Fracture Mechanics-Based Damage Evolution Law of Brittle Composites

This paper demonstrates identification of parameters associated with damage evolution laws defined in a micromechanics and fracture mechanics-based constitutive model for damage-tolerant brittle composites. A recently developed inverse analysis methodology, called Self-Optimizing Inverse Method (Self-OPTIM), has been extended to the identification of the physics-based damage evolution laws, which has not been achievable. The Self-OPTIM can automatically self-correct the Damage Parameter Set (DPS) based on global in-situ measurements. The material response is obtained from force-driven and displacement-driven nonlinear finite element (FE) simulations. The adopted micromechanics and fracture mechanics-based damage constitutive model can reasonably simulate nucleation and subsequent growth of microcracks within brittle composite materials. It has been implemented within the Self-OPTIM software framework. Numerically simulated synthetic data from an impact tension test are utilized to show successful performance of the proposed damage identification method.

• Record URL:
  • https://doi.org/10.1061/41171(401)272
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411711
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Authors:
  • Shang, Shen
  • Yun, Gun Jin
• Conference:
  • 2011 Structures Congress
  • Location: Las Vegas NV, United States
  • Date: 2011-4-14 to 2011-4-16
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;

Subject/Index Terms

• TRT Terms: Brittleness; Composite materials; Cracking; Deformation curve; Finite element method; Fracture mechanics; Strain (Mechanics); Structural models
• Subject Areas: Bridges and other structures; Materials; I20: Design and Planning of Transport Infrastructure; I30: Materials;

Filing Info

• Accession Number: 01347638
• Record Type: Publication
• ISBN: 978-0-7844-1171-1
• Files: TRIS, ASCE
• Created Date: Aug 8 2011 2:18PM