Simulation-Based Mission Mobility Reliability Analysis of Off-Road Ground Vehicles
Abstract
This paper develops a simulation-based mission mobility reliability (MMR) analysis framework to account for uncertainty in mobility prediction of off-road ground vehicles in mission planning. A concept of MMR is first proposed to quantify reliability of a mission path which passes through different types of soils. A single-loop Kriging surrogate modeling method is then employed to overcome the computational challenge in MMR assessment caused by expensive mobility simulations. Built upon the surrogate model-based MMR analysis, a dynamic updating scheme is proposed to update the MMR estimation using online mobility data, during the course of a specific mission and for a particular vehicle. The online dynamic updating of MMR allows us for effective and dynamic decision-making during the mission phase, thus proactively avoid rare events of immobility during the mission. A case study demonstrates the efficacy of the proposed MMR analysis and updating framework.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 09, 2020
- Source ID
- 10.1115/1.4048314
Entities
People
- Chen Jiang
- David Gorsich
- Monica Majcher
- Paramsothy Jayakumar
- Yan Fu
- Yixuan Liu
- Zhen Hu
- Zissimos P. Mourelatos
Organizations
- Ford Motor Company
- Oakland University
- United States Army
- United States Army Combat Capabilities Development Command
- University of Michigan–Dearborn