Title of article
A systematic approach to reliably characterize soils based on Bevameter testing
Author/Authors
Apfelbeck، نويسنده , , Maximilian and Kuك، نويسنده , , Sebastian and Rebele، نويسنده , , Bernhard and Schنfer، نويسنده , , Bernd، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
12
From page
360
To page
371
Abstract
Although a lot of information about soil parameter identification exists in literature, there is currently no algorithm who makes use both of state of the art identification methodologies and incorporating statistical analysis. In this paper a state of the art soil parameter identification method is presented including the calculation of its standard deviations and a proper weighting of the objective function. With this algorithm and a Bevameter with advanced sensor and actuator technology a test campaign is started to find a reliable soil preparation, which is applicable to a large planetary rover performance testbed. Furthermore, the preparation method has to be valid and stable for various types of dry, granular and frictional soils, typically used for planetary rover testing in space robotics, since the result of pre-tests show that the soil parameters are highly depending on the preparation. Besides preparation, the soil parameters are also influenced by different Bevameter test setup variables. Thus, the effect of the penetration velocity as well as the penetration tool geometry for pressure–sinkage tests on soil parameters is investigated. For shear tests the influence of the dimension of the shear ring is analysed as well as the variation of the grouser height, the number of the grousers and the increase of the rotational shear velocity. The results of the extensive test campaign are evaluated by the proposed identification algorithms.
Keywords
Testbed , Identification , Planetary rover , Statistical analysis , Bevameter , Soil parameter
Journal title
Journal of Terramechanics
Serial Year
2011
Journal title
Journal of Terramechanics
Record number
2241298
Link To Document