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이변량 Gaussian 분포함수를 적용한 복합신소재 구조의 섬유 강성 추정

Fiber Stiffness Detections of Composite Structures Using the Bi-variate Gaussian Distribution Function

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한국복합신소재구조학회 (Korean Society for Advanced Composite Structures)
초록

This study performed an inverse detection of fiber stiffness degradation that occurs due to damages in free vibrating composite structures. Five unknown parameters are considered to determine the fiber stiffness which is a modified form of the bivariate Gaussian distribution function. The proposed approach is more feasible than the conventional element-based damage detection method from the computational efficiency because a finite element analysis coupled with a genetic algorithm using a small number of unknown parameters is performed. The numerical examples show that the proposed technique is a feasible and practical method, which can prove the location of a damaged region as well as inspect the distribution of deteriorated fiber stiffness although there is a small difference in dynamic characteristics between damaged and undamaged structures.

목차
ABSTRACT
 1. 서 론
 2. 이변량 Gaussian 함수기반 손상 분포 모델
 3. ABAQUS-유전알고리즘 연동 SI 기법
 4. 결 론
 References
저자
  • 김규동(안동대학교 토목공학과) | Kim Gyu-Dong
  • 전승곤(한국스마트구조시스템연구원) | Jeon Seung-Gon
  • 이상열(안동대학교 토목공학과) | Lee Sang-Youl