Predicting the sinkage of a moving tracked mining vehicle using a new rheological formulation for soft deep-sea sediment

被引:17
作者
Xu Feng [1 ]
Rao Qiuhua [1 ]
Ma Wenbo [2 ]
机构
[1] Cent S Univ, Sch Civil Engn, Changsha 410075, Hunan, Peoples R China
[2] XiangTan Univ, Coll Civil Engn & Mech, Xiangtan 411105, Peoples R China
基金
中国国家自然科学基金;
关键词
sinkage; RecurDyn; soft deep-sea sediment; combined compression-shear rheology; tracked mining vehicle; SIMULATION; MODEL; CHINA;
D O I
10.1007/s00343-018-6344-1
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The sinkage of a moving tracked mining vehicle is greatly affected by the combined compression-shear rheological properties of soft deep-sea sediments. For test purposes, the best sediment simulant is prepared based on soft deep-sea sediment from a C-C poly-metallic nodule mining area in the Pacific Ocean. Compressive creep tests and shear creep tests are combined to obtain compressive and shear rheological parameters to establish a combined compressive-shear rheological constitutive model and a compression-sinkage rheological constitutive model. The combined compression-shear rheological sinkage of the tracked mining vehicle at different speeds is calculated using the RecurDyn software with a self-programmed subroutine to implement the combined compression-shear rheological constitutive model. The model results are compared with shear rheological sinkage and ordinary sinkage (without consideration of rheological properties). These results show that the combined compression-shear rheological constitutive model must be taken into account when calculating the sinkage of a tracked mining vehicle. The combined compression-shear rheological sinkage decrease with vehicle speed and is the largest among the three types of sinkage. The developed subroutine in the RecurDyn software can be used to study the performance and structural optimization of moving tracked mining vehicles.
引用
收藏
页码:230 / 237
页数:8
相关论文
共 21 条
[1]  
[Anonymous], 2014, SLIP PATH TRACKING C
[2]  
[Anonymous], 1969, INTRO TERRAIN VEHICL
[3]   Modeling and identification of open-frame variable configuration unmanned underwater vehicles [J].
Caccia, M ;
Indiveri, G ;
Veruggio, G .
IEEE JOURNAL OF OCEANIC ENGINEERING, 2000, 25 (02) :227-238
[4]  
Chen Feng, 2004, Robot, V26, P510
[5]   Partitioning of grain-size components of estuarine sediments and implications for sediment transport in southwestern Laizhou Bay, China [J].
Chen Guangquan ;
Yi Liang ;
Chen Shenliang ;
Huang Haijun ;
Liu Yanxia ;
Xu Yonghang ;
Cao Jianrong .
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2013, 31 (04) :895-906
[6]  
DAI Yu, 2010, MODELING RES SIMULAT
[7]   A SIMULATION-MODEL FOR THE PREDICTION OF THE GROUND PRESSURE DISTRIBUTION UNDER TRACKED VEHICLES [J].
GIGLER, JK ;
WARD, SM .
JOURNAL OF TERRAMECHANICS, 1993, 30 (06) :461-469
[8]  
Janosi Z., 1961, Proe.Ist Init.Conf.of ISTVS, P707
[9]   Ground vehicle modeling and simulation of military vehicles using high performance computing [J].
Letherwood, MD ;
Gunter, DD .
PARALLEL COMPUTING, 2001, 27 (1-2) :109-140
[10]  
[李力 Li Li], 2010, [工程力学, Engineering Mechanics], V27, P213