An Analytical Model for Predicting Ground Pressure under a Rigid-Flexible Tracked Vehicle on Soft Ground

Joint Authors

Cheng, Kai
Liu, Weiwei

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-01-22

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

Ground pressure is a significant parameter for the mobility, tractive performance, and soil compaction.

In this study, an analytical model for predicting ground pressure distribution under a rigid-flexible tracked vehicle on soft ground was developed.

The model considered the primary design parameters of the tracked vehicle, soil characteristics, and soil shear.

The ground pressure was not uniform, and its maximum values under the roadwheels were 90.20, 103.57, and 150.14 kPa.

The ground pressure was inversely proportional to the ratio of the lengths of the flexible track and rigid grouser.

An experiment was conducted to verify the analytical model.

The maximum error between the measured and simulated results was smaller than 8%, thereby verifying the analytical model.

American Psychological Association (APA)

Liu, Weiwei& Cheng, Kai. 2020. An Analytical Model for Predicting Ground Pressure under a Rigid-Flexible Tracked Vehicle on Soft Ground. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1197232

Modern Language Association (MLA)

Liu, Weiwei& Cheng, Kai. An Analytical Model for Predicting Ground Pressure under a Rigid-Flexible Tracked Vehicle on Soft Ground. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1197232

American Medical Association (AMA)

Liu, Weiwei& Cheng, Kai. An Analytical Model for Predicting Ground Pressure under a Rigid-Flexible Tracked Vehicle on Soft Ground. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1197232

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1197232