干旱区生态环境知识资源中心(Arid): New algorithms for predicting longitudinal motion resistance of wheels on dry sand

Arid

DOI	10.1177/1548512917693119
	New algorithms for predicting longitudinal motion resistance of wheels on dry sand
	Williams, James M.; Vahedifard, Farshid; Mason, George L.; Priddy, Jody D.
通讯作者	Vahedifard, F
来源期刊	JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS
ISSN	1548-5129
EISSN	1557-380X
出版年	2019
卷号	16 期号:3 页码:283-295
英文摘要	Predicting the resisting forces against a vehicle's wheel during movement in loose sand is critical for optimizing tractive capabilities in desert regions, sand dunes, and beaches. We review existing braked, powered, and towed motion resistance equations and present improved algorithms based on field and laboratory measurements when the cone index is used to define soil strength. The algorithm predictions are compared against measured values available through Database Records for Off-road Vehicle Environments (DROVE), a database of tests conducted with wheeled vehicles. The examination of braked, towed, and powered motion resistance algorithms is considered for loads varying from 0.187 to 4.49 kN, tire diameters from 0.377 to 1.05 m, and soil strengths from 50 to 800 kPa. A simplified motion resistance algorithm was developed for each operation type utilizing a bootstrap technique. Simple relationships using wheel slip and the ratio of the contact pressure to the cone index are shown to provide predictions of motion resistance with accuracy comparable to more complex empirical models.
英文关键词	Off-road mobility sand motion resistance sinkage Vehicle Terrain Interface (VTI) model Database Records for Off-road Vehicle Environments (DROVE)
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000470768900005
WOS关键词	ROLLING RESISTANCE ; VEHICLE ; VELOCITY
WOS类目	Engineering, Multidisciplinary
WOS研究方向	Engineering
Scopus学科分类	Mississippi State Univ, CAVS, Mississippi State, MS 39762 USA.
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333598
作者单位	[Williams, James M.; Vahedifard, Farshid] Mississippi State Univ, Dept Civil & Environm Engn, Mississippi State, MS 39762 USA; [Williams, James M.; Vahedifard, Farshid; Mason, George L.] Mississippi State Univ, CAVS, Mississippi State, MS 39762 USA; [Priddy, Jody D.] US Army Engineer Res & Dev Ctr ERDC, Mobil Syst Branch, Geotech & Struct Lab, Vicksburg, MS USA
推荐引用方式 GB/T 7714	Williams, James M.,Vahedifard, Farshid,Mason, George L.,et al. New algorithms for predicting longitudinal motion resistance of wheels on dry sand[J],2019,16(3):283-295.
APA	Williams, James M.,Vahedifard, Farshid,Mason, George L.,&Priddy, Jody D..(2019).New algorithms for predicting longitudinal motion resistance of wheels on dry sand.JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS,16(3),283-295.
MLA	Williams, James M.,et al."New algorithms for predicting longitudinal motion resistance of wheels on dry sand".JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS 16.3(2019):283-295.