车辆小重叠碰撞中滑移模式的研究

doi:10.19562/j.chinasae.qcgc.2022.10.014

Abstract

Abstract:

Based on the plane motion theory， a theoretical analysis method for the slide mode of the vehicle in small-overlap frontal crash is proposed， and the relationship between the slide value and the impact forces is revealed and verified by experiments and tests. The impact area is divided into six parts and the sixth-order impact force characteristic curves are put forward. Based on the characteristic curves and the uniform design method， the sample space of vehicle slide value and different characteristic curves is obtained by using the theoretical method proposed. Furthermore， the BP neural network is established to conduct a sensitivity analysis of the impact forces and the vehicle slide value in the six regions of characteristic curves， with the critical impact region under that working condition identified. The theoretical method proposed and the sensitivity analysis conducted provide a theoretical support for the structural design for small-overlap frontal crash.

Key words: small-overlap frontal crash, slide value, theoretical model, neural network, sensitivity analysis

Xiaojie Chen,Song Li. Study on the Slid Mode in Vehicle Small-Overlap Frontal Crash[J].Automotive Engineering, 2022, 44(10): 1591-1599.

Figures/Tables 24

References 13

1	SHERWOOD C P， NOLAN J M， ZUBY D S. Characteristics of small overlap crashes［C］. Proc 21th Int'l Tech. Conf. on Enhanced Safety of Vehicles， Germany， 2009， Paper No 09-0423.
2	IIHS （Insurance Institute for Highway Safety）. Small overlap frontal crashworthiness evaluation rating protocol （Ver II）［S/OL］. ［2012-12-01］. （2013-01-10）. http：//www.iihs.org/ ratings/protocols.
3	IIHS（Insurance Institute for Highway Safety）. Small overlap frontal crashworthiness evaluation crash test protocol （Ver II）［S/OL］. ［2012-12-01］.（2013-01-10）. http：//www.iihs.org/ ratings/protocols.
4	DELATORRE C， et al. Component test fixture to improve SOI results［C］. SAE Paper 2017-01-1466.
5	PARK U， et al. IIHS small overlap crash mode wheel separation component test and the improvement in the lower arm［C］. FISITA Technical Paper， F 2016- AVCE-006.
6	张健，等. 正面25%偏置碰撞中车轮铰链失效的研究［J］. 汽车工程，2020， 42（8）.
	ZHANG Jian， et al. Research on wheel hinge failure in 25% small overlap frontal crash［J］. Automobile Engineering， 2020， 42（8）.
7	胡远志，梁锐，刘西，等. 某轿车小偏置碰撞结构耐撞性优化［J］. 重庆理工大学学报， 2018， 32（2）： 1-9．
	HU Yuanzhi， LIANG Rui， LIU Xi， et al. Body optimization of a sedan in small overlap impact［J］. Journal of Chongqing University of Technology （ Natural Science）， 2018，32（2）：1-9．
8	肖龙，李莉，段大伟，等. 基于正面25%重叠偏置碰撞测试的轿车改进设计［J］. 汽车工程， 2018， 40（2）： 184-191.
	XIAO Long， LI Li， DUAN Dawei， et al. Modification design of a sedan based on 25% overlap frontal crash test［J］. Automobile Engineering，2018， 40（2）： 184-191.
9	李林峰，刘卫国，张君媛，等. 基于25%小偏置正面碰撞的某乘用车前端结构改进设计［J］. 中国机械工程， 2015（9）： 2400-2405.
	LI Linfeng， LIU Weiguo， ZHANG Junyuan， et al. Design and improvement of a passenger vehicle frontal structure based on 25% small overlap front crash［J］. China Mechanical Engineering， 2015（9）： 2400-2405.
10	刘千揆，陈光，陈超，等. 基于小偏置碰撞力匹配研究的车身前端结构改进［J］. 科学技术与工程， 2017， 17（14）： 92-96.
	LIU Qiankui，CHEN Guang，CHEN Chao，et al． The automobile body frontal structure design based on the research of small overlap collision force［J］．Science Technology and Engineering， 2017，17 （14）： 92-96.
11	肖锋，陈晓锋. IIHS小偏置碰撞位移导向策略与结构评估方法［J］. 汽车安全与节能学报， 2013（4）： 322- 333.
	XIAO Feng， CHEN Xiaofeng. One displacement oriented strategy and a structural assessment method for IIHS new small overlap crash tests［J］. J Automotive Safety and Energy， 2013（4）： 322-333.
12	DIMOPOULOS Y， BOURRET P， LEK S. Use of some sensitivity criteria for choosing networks with good generalization ability［J］. Neural Processing Letters，1995， 2（6）： 1-4.
13	KOPRINKOVA-HRISTOVA P， MLADENOV V， KASABOV N K. Artificial neural networks［J］. European Urology， 2015， 40（1）： 245.

[1]	LI Huan, HUANG Ying, ZHANG Fu-Jun, ZHAO Yu, GE Yan-Wu. [J]. , 2016, 38(12): 1420 -1426 .
[2]	HAO Han, WANG Si-南, LI Xiao, LIU Zong-Wei, ZHAO Fu-Quan. [J]. , 2017, 39(1): 1 -8 .
[3]	XU Cheng-Shan, JIANG Fa-Chao, SONG Sen-Nan, TIAN Guang-Yu. [J]. , 2017, 39(1): 9 -14 .
[4]	JIANG Ting, DAI Bing. [J]. , 2016, 38(12): 1459 -1466 .
[5]	ZHANG Yi-Bing, 吕Jian-Jun , YUAN Guang-Hui. [J]. , 2016, 38(12): 1467 -1470 .
[6]	ZHANG Lei, ZHANG Jin-Qiu, LUO Tao, BI Zhan-Dong, YAO Jun. [J]. , 2016, 38(12): 1494 -1499 .
[7]	CUI An, LI Bin, WANG Xue-Liang, ZHANG Shi-Zhan. [J]. , 2016, 38(12): 1521 -1525 .
[8]	CHU Liang, ZHAO Di, LI Wen-Hui. [J]. , 2017, 39(1): 61 -65 .
[9]	FENG Chong, ZHANG Dong-Hao, LUO Yu-Gong, LI Ke-Qiang. [J]. , 2017, 39(1): 66 -72 .
[10]	HAN Xiao-Mei, LIN Xue-Dong, LI De-Gang. [J]. , 2017, 39(1): 23 -27 .

输入/kN	27	35	43	51	59	67	75	83	91	99	107	115
	52	62	72	82	92	102	47	57	67	77	87	97
	181	205	229	253	173	197	221	245	165	189	213	237
	162	182	202	157	177	197	152	172	192	147	167	187
	148	188	124	164	140	180	156	116	196	172	204	132
	67	97	62	92	82	72	87	57	47	52	42	77
	331	283	339	291	323	355	371	347	299	363	307	315
	76	51	91	66	41	56	81	96	71	61	86	46
	336	304	272	344	352	280	288	320	360	312	328	296
	114	99	84	69	104	79	119	89	94	124	74	109
	310	294	278	262	318	230	254	302	286	238	246	270
	156	151	146	141	111	136	121	106	116	141	126	101
输出/mm	247	330	350	397	368	374	408	295	318	310	304	347

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Study on the Slid Mode in Vehicle Small-Overlap Frontal Crash

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