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복합재 초기 공극 결함에 따른 횡하중 강도 확률론적 분석

Stochastic Strength Analysis according to Initial Void Defects in Composite Materials

조성욱|전성식|지승민
한국복합재료학회 (The Korean Society For Composite Materials)|2024.06|Composites Research|제37권 제3호|pp. 179-185|DOI http://dx.doi.org/10.7234/composres.2024.37.3.179

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참고문헌

키워드

t-분포 확률적 임베딩대표 체적 요소초기 공극 결함밀도 기반 군집화Representative Volume ElementInitial void defectst-distributed Stochastic Neighbor EmbeddingDensity-Based Spatial Clustering of Applications with Noise
주제분류재료공학

초록

본 연구는 Representative Volume Element(RVE) 모델을 사용하여 초기 공극 결함이 있는 단방향 섬유강화 복합재의 횡방향 인장 강도 변화에 대해 정량적 평가 및 조사되었다. 초기 공극 결함을 표본오차와 신뢰 수준을 기준으로 적정 표본의 수가 계산된 후, 총 5000개의 초기 공극 결함이 있는 RVE 모델이 표본 집단으로 생성되었다. 표본 집단은 차원 축소법과 밀도 기반 군집 분석을 통해 유사도 분석이 진행되었으며 편향되지 않은 표본 집단임이 확인 및 검증되었다. 검증된 표본 분석 결과는 복합재 구조의 신뢰성 해석에 적용될 수 있게 Weibull 분포로 표현되었다

Abstract

This study quantitatively evaluated and investigated the changes in transverse tensile strength of unidirectional fiber-reinforced composites with initial void defects using a Representative Volume Element (RVE) model. After calculating the appropriate sample size based on margin of error and confidence level for initial void defects, a sample group of 5000 RVE models with initial void defects was generated. Dimensional reduction and density-based clustering analysis were conducted on the sample group to assess similarity, confirming and verifying that the sample group was unbiased. The validated sample analysis results were represented using a Weibull distribution, allowing them to be applied to the reliability analysis of composite structures.

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