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Efficient and Robust Parameter Identification for Soil modeled via the Discrete Element Method

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Commercial Vehicle Technology 2022 (ICVTS 2022)

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Abstract

Soil models coupled with multibody systems are wellestablished in the development process of construction machinery to predict reaction forces in relevant application maneuvers. In order to accommodate the large variety of soils, it is crucial to choose a suitable model complexity and corresponding identifiable parameters to describe the respective soil characteristic. Within this contribution, we present the parametrization of a soil model based on the Discrete Element Method and discuss efficient and robust methods with the help of direct optimization approaches.

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Correspondence to Jonathan Jahnke .

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© 2022 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Jahnke, J., Steidel, S., Burger, M., Jareteg, K., Quist, J. (2022). Efficient and Robust Parameter Identification for Soil modeled via the Discrete Element Method. In: Berns, K., Dressler, K., Kalmar, R., Stephan, N., Teutsch, R., Thul, M. (eds) Commercial Vehicle Technology 2022. ICVTS 2022. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-40783-4_4

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