Towards a Comprehensive Framework for Simulation-based Vehicle Systems Design Validation (PREPRINT)

Abstract

We present an overview of our most recent and ongoing research efforts to develop a comprehensive framework for simulation-based vehicle design validation. Specifically we present the three major building blocks of our framework, namely i) the investigation of existing and introduction of appropriate validation metrics for comparing the dynamic responses of vehicle systems that consist of multivariate functional data, ii) the selection and robust implementation of a Bayesian interval-based hypothesis testing technique for quantifying the confidence in simulation models used for design under uncertainty and iii) the development of a sequential design optimization methodology with calibration-based validation to address the inadequacy of current validation methods for design optimization purposes. We conclude with a discussion of the techniques being developed currently that will complete the proposed framework.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA540821

Entities

People

  • D. Gorsich
  • G. Hulbert
  • M. Kakkolaras
  • Mark Brudnak
  • P. Papalambros
  • R. J. Yang
  • Z. Mourelatos

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Calibration
  • Computational Science
  • Data Analysis
  • Data Science
  • Electronic Mail
  • Engineering
  • Experimental Data
  • Factor Analysis
  • Field Tests
  • Information Science
  • Mechanical Engineering
  • Simulations
  • Systems Engineering
  • Test Methods
  • Validation
  • Vehicle Design

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference