Statistical characterization of fatigue damage in high temperature composite laminates

Zuo Sun*, Isaac M. Daniel, J. J. Luo

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Since high temperature polymer composites are receiving special attention because of their potential applications to high speed transport airframe structures and aircraft engine components exposed to elevated temperatures, the long term durability and associated damage mechanisms of these materials is of great concern. This study focuses on fatigue matrix cracking in transverse lavers of a carbon/epoxy composite proposed for high temperature applications and cracking multiplication prediction under fatigue loading, which play important roles in predicting its long term behavior. Fatigue damages at both room and elevated temperatures are characterized experimentally. Furthermore, Fatigue Monte Carlo technique is applied to simulate the nondeterministic transverse cracking procedure based on shear lag model, stress-life curve and damage accumulation models. It is shown that the simulation based on Miner's rule agrees better with experimental results at both room and high temperatures.

Original languageEnglish (US)
Pages (from-to)1362-1369
Number of pages8
JournalCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Volume2
DOIs
StatePublished - 2002
Event43rd Structures, Structural Dynamics and Materials Conference - Denver, CO, United States
Duration: Apr 22 2002Apr 25 2002

Keywords

  • High Temperature Fatigue
  • Monte Carlo Simulation
  • Nondeterministic transverse cracking
  • Polymer Matrix Composites
  • S-N curves

ASJC Scopus subject areas

  • Architecture
  • Materials Science(all)
  • Aerospace Engineering
  • Mechanics of Materials
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Statistical characterization of fatigue damage in high temperature composite laminates'. Together they form a unique fingerprint.

Cite this