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인체재료 모사기반 충격 타박상 예측
- 명재범;
- 한세진;
- 사공재;
- 우성충;
- 김태원
초록
The blunt instruments, which account for 21.9 % of violent crime cases, cause injuries especially contusions. The causality analysis between the blunt instruments and bruises has been focused on human and animal experiments. In this study, a finite element analysis based on human material mimicking was performed to analyze the causality of the threats and injuries related to the contusions caused by blunt trauma, and a methodology is suggested to predict the bruises. The predictive model was composed of a three-layer structure based on the average thickness of the dermis, subcutaneous tissue and muscle layers of adult males obtained from reference, and then the quasi-linear viscoelastic model for dermis, and the Ogden model for subcutaneous tissue with muscle were employed to simulate the behavior of human materials. The stress distribution on the bruise of the experimental results of human body and pig was identified and the validity was performed by the comparative analysis with the experimental results of the actual human body and the results of the finite element analysis. A verification element was set to the force that threat was subjected to, and the analysis under the same conditions as the experiments confirmed that the maximum error was properly mimicked within 15 %. In addition, based on the validated model of human material, the surface diameter derived from the specific maximum principal stress of the finite element analysis was compared with the size of contusions derived from the experiment. As a result, it was confirmed that contusions were produced at least within the range of 12 to 14 MPa. Therefore, it is expected that the prediction method proposed in this study could be used as a generic technology for investigating the cases of injuries due to blunt instruments.
키워드
- 제목
- 인체재료 모사기반 충격 타박상 예측
- 제목 (타언어)
- Prediction of the impact induced bruise based on a human material mimesis
- 저자
- 명재범; 한세진; 사공재; 우성충; 김태원
- 발행일
- 2019-02
- 유형
- Proceeding
- 저널명
- 대한기계학회 신뢰성부문 2019년도 춘계학술대회 논문집
- 페이지
- 97 ~ 97