k-means clustering DB를 통한 Multi-cell headrest의 상해지수 간 상관관계 분석
Correlation Analysis between Injury Index of Multi-cell Headrest through k-means Clustering DB
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초록
운송 수단의 발전은 인간의 교통 편의 증진과 더불어 이동이 불편한 장애인들의 이동 반경 확대를 가능하게 하였다. 그러나 휠체어 탑재 차량의 경우 차량 사고 시 발생할 수 있는 안전성은 일반 승객 좌석에 비해 여전히 낮다. 특히 무방비 상태에서 발생할 수 있는 후방 추돌 사고의 경우 장애인 탑승객의 목 부상에 치명적으로 작용할 수 다. 따라서 휠체어 탑재 차량에 적용될 headrest에는 보다 세밀한 설계안이 반영되어야 한다. 본 연구에서는 휠체어 운송 차량의 저속 후방 추돌 시 headrest의 국부적 압축 특성 분포 구현을 위해 multi-cell headrest가 제안되었다. 이후 해석을 통한 데이터셋 구축과 k-means clustering을 적용한 군집화 결과를 이용해 탑승객의 목 상해지수와 충격 에너지 흡수량 간 상관관계 분석이 수행되었다. 군집화 결과 유사한 특성을 지닌 데이터 군집이 형성된 것을 확인하였으며, 각 군집의 특성을 통한 목 상해지수와 충격 에너지 흡수량 간의 상관관계 분석이 수행되었다. 분석 결과 Mid3와 Mid6에서의 cell 압축 특성이 soft할수록 충격 에너지 흡수량이 증가하는 것을 확인하였으며, Front2, Mid3, Mid6에서의 cell 압축 특성이 hard할수록 목 상해지수 감소에 효과적임을 확인하였다.
Abstract
The development of transportation methods has improved human transportation convenience and made it possible to expand the travel radius of people with disabilities who have difficulty moving. However, in the case of WAV (wheelchair Accessible Vehicle), the safety that may occur in a vehicle accident is still lower than that of regular passenger seats. In particular, in the case of a rear-end collision that may occur in a defenseless situation, it can cause fatal neck injuries to disabled passengers. Therefore, a more detailed design plan must be reflected in the headrest to be applied to WAV. In this study, a multi-cell headrest was proposed to implement local compression characteristic distribution of the headrest during rear-end collision of WAV. Afterwards, a correlation analysis was performed between the passenger's NIC (Neck Injury Criterion) and impact energy absorption using the data set construction through analysis and the clustering results using k-means clustering. As a result of clustering, it was confirmed that data clusters with similar characteristics were formed, and a correlation analysis between NIC and impact energy absorption through the characteristics of each cluster was performed. As a result of the analysis, it was confirmed that the softer the cell compression characteristics in Mid3 and Mid6, the more impact energy absorption increases, and the harder the cell compression characteristics in Front2, Mid3, and Mid6, the more effective it is in reducing NIC.
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