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Multi-Domain Optimisation Using Computer Experiments for Concurrent Engineering

  • R. A. Bates
  • R. Fontana
  • L. Pronzato
  • H. P. Wynn
Conference paper

Abstract

It is a challenge to optimise several simulators in a multi-objective way in Computer-Aided Engineering (CAE). The technology of replacing each simulator with a fast statistical emulator based on a space-filling computer experiment is introduced. A case study based on a rudimentary model of a car suspension system is conducted in full and is one of a series in a collaborative EU project (No. BE96-3046) which has a particular emphasis on multi-domain problems: mechanical, thermal, electrical etc. In the case study the objectives from three separate simulator responses are combined in different portmanteau criteria; global optimisation is then used to find Pareto solutions.

Keywords

Design Point Emulator Model Rubber Characteristic Road Profile Concurrent Engineer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1998

Authors and Affiliations

  • R. A. Bates
    • 1
  • R. Fontana
    • 2
  • L. Pronzato
    • 3
  • H. P. Wynn
    • 1
  1. 1.University of WarwickCoventryUK
  2. 2.Centro Ricerche FIATOrbassano, TorinoItaly
  3. 3.Laboratiore i3SCNRSFrance

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