Injury Prediction for Emergency Rescue using Degital Human Models
| Project/Area Number |
23500513
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Biomedical engineering/Biological material science
|
|---|
| Research Institution | Nippon Bunri University (2012-2013)
Tokyo Institute of Technology (2011) |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2011 – 2013
|
| Project Status |
Completed (Fiscal Year 2013)
|
| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
|---|
| Keywords | 交通事故 / 自動車乗員 / 傷害予測 / 衝突事故 / 人体デジタルモデル / 有限要素法 / 自動車有限要素モデル |
|---|
| Research Abstract |
Injury prediction based on data from in-vehicle devices, known as AACN, is expected to reduce trauma deaths. The existing prediction method developed by statistical analysis of the accident database used delta-V as the factor.
However, crash pattern such as wrap-ratio should be considered, as it also affects injury outcomes. Numerical simulations of various frontal crashes with vehicle and occupant dummy models were performed. The results were classified into seven categories based on waveform of vehicle acceleration by cluster analysis, and prediction equations were developed as function of delta-V and the category. It was revealed that delta-V and the category could represent the acceleration features, and compartment intrusion depended on the category. The equations were significantly different among the categories and predicted well dummy's injuries in tests. Thus, this study suggested a method to develop injury prediction equations with two factors for accurate and immediate AACN.
|
Report
(4 results)
Research Products
(14 results)
-
-
-
[Journal Article] Classification of Crash Pattern Based on Vehicle Acceleration and Prediction Algorithm for Occupant Injury2013
Author(s)
Katagiri, M., Tsubouchi, H., Ujihashi, S., Fukaya, T., Awano, M., Ito, K., Suzuki, H ., Okuyama, T
-
Journal Title
International Journal of Society of Automotive Engineers
Volume: No.10
Pages: 9-16
NAID
Related Report
Peer Reviewed
-
[Journal Article] Estimation of Vehicle Deformation based on Acceleration from Event Data Recorder2012
Author(s)
Katagiri, M., Tsubouchi, H., Ujihashi, S., Fukaya, T., Awano, M., Ito, K
-
Journal Title
Proceedings of the 6th International Conference on Coupled Instabilities in Metal Structures (CIMS)
Pages: 383-390
Related Report
Peer Reviewed
-
-
[Journal Article] Estimation of Vehicle Deformation based on Acceleration from2012
Author(s)
Katagiri, M., Tsubouchi, H., Ujihashi, S., Fukaya, T., Awano, M.,Ito, K.
-
Journal Title
Proceedings of the 6th International Conference on
Volume: 1
Pages: 383-390
Related Report
-
-
-
-
-
-
-
-
