정면충돌 시 복합상해지수를 사용한 에어백 전개시점 평가 방법 개발

다국어 초록 (Multilingual Abstract)

This study aimed to develop the evaluation method for air bag deployment threshold during frontal crashes using injury severity score (ISS) and a whole-body functional capacity index (WBFCI) using a computational human surrogate model and real-world crash data. National Automotive Sampling System Crashworthiness Data System (NASS-CDS) 2006-2015 were queried for occupants involved in frontal crashes. 449 cases of AIS2+ unique injuries were derived, and the resulting major injury mechanisms were assigned. To derive WBFCI and ISS from the frontal impact analysis results, A finite element mid-size male occupant model (Global Human Body Model Consortium-owned GHBMC Model, v4.5) was divided into 21 body regions and the output was defined so that the probability of injury is known in each body region. Based on the probability of injury derived from the analysis results. The first Monte Carlo sampling was conducted to create virtual passengers with the abbreviated injury score (AIS) severity level for each body region, and the second Monte Carlo sampling was performed so that FCI and ISS could be calculated from virtual passengers with AIS patterns for each body region. The frontal crash simulations were performed in a simplified sled model for four different delta V(ΔV) with or without airbags when the belt was equipped. Then, the validity of this method was examined through comparative verification with real-world crash data.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 주요상해 도출 및 복합상해지수 예측
• 3. 에어백 전개 시점 평가
• 4. 실제사고 데이터 비교
• 5. 결과 및 고찰
• 6. 결론
• References