Development of System Analysis for the Application of MDO to Crashworthiness

자동차 충돌문제에 MDO를 적용하기 위한 시스템 해석 방법 개발

  • Published : 2003.09.01

Abstract

MDO (multidisciplinary design optimization) technology has been proposed and applied to solve large and complex optimization problems where multiple disciplinaries are involved. In this research. an MDO problem is defined for automobile design which has crashworthiness analyses. Crash model which are consisted of airbag, belt integrated seat (BIS), energy absorbing steering system .and safety belt is selected as a practical example for MDO application to vehicle system. Through disciplinary analysis, vehicle system is decomposed into structure subspace and occupant subspace, and coupling variables are identified. Before subspace optimization, values of coupling variables at given design point must be determined with system analysis. The system analysis in MDO is very important in that the coupling between disciplines can be temporary disconnected through the system analysis. As a result of system analysis, subspace optimizations are independently conducted. However, in vehicle crash, system analysis methods such as Newton method and fixed-point iteration can not be applied to one. Therefore, new system analysis algorithm is developed to apply to crashworthiness. It is conducted for system analysis to determine values of coupling variables. MDO algorithm which is applied to vehicle crash is MDOIS (Multidisciplinary Design Optimization Based on Independent Subspaces). Then, structure and occupant subspaces are independently optimized by using MDOIS.

Keywords

References

  1. NASA TM 83248 A Linear Decomposition Method for Large Optimization Problems - Blueprint for Development J. Sobieszczanski-Sobieski
  2. Recent Advances in Multidisciplinary Analysis and Optimization, NASA CP 3031 Optimization by Decomposition: A Step from Hierarchic to Non-Hierarchic Systems J. Sobieszczanski-Sobieski;J.F.Barthelemy(ed.)
  3. Transactions of KSAE v.7 no.9 Occupant Analysis and Seat Desgin to Reduce the Neck Injury for Rear Eng Impact M.K.Shin;K.J.Park;G.J.Park
  4. J. of Automobile Engineering Axiomatic Design of the Motor Driven Tilt/Telescopic Steering System for Safety and Vibration M.K.Shin;S.W.Hong;G.J.Park
  5. Center for Research on Parallel Computation, Rice Univ. Rept., CRPC-TR93334 Problem Formulation for Multidisciplinary Optimization E.J.Cramer;J.E.Dennis;P.D.Frank;R.M.Lewis;G.R.Shubin
  6. AIAA Paper AIAA-97-4977, AIAA/ASME/ASCE/AHS/ASC 38th Structure, Structural Dynamics and Materials Conference A Comparison of Solution Strategy for Simulation-Based Multidisciplinary Design Optimization K.F.Hulme;C.L.Bloebaum
  7. Ph. D. Dissertation, Stanford University Collaborative Optimization: An Architecture for Large-Scale Distributed Design R.D.Braun
  8. 6th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA 94-4019 Concurrent Subspace Optimization Using Gradient-Enhanced Neural Network Approximations R.Sellar;S.M.Batill
  9. Engineering Optimization v.19 Non-Hierarchic System Decomposition in Structural Optimization C.L.Bloebaum;P.Hajela;J. Sobieszczanski-Sobieski https://doi.org/10.1080/03052159208941227
  10. AIAA Paper AIAA 96-1383, AIAA/ASME/ASCE/AHS/ASC 37th Structure, Structual Dynamics and Materials Conference Response Surface Approximations for Discipline Coordination in Multidisciplinary Design Optimization R.Sellar;M.Stelmack;S.M.Batill;J.E.Renaud
  11. Structural Optimization v.18 A Multidisciplinary Design Optimization Approach for High Temperature Aircraft Engine Components R.V.Tappeta;S.Nagendra;J.E.Renaud
  12. Ph. D Dissertion, Hanyang University Multidisciplinary Design Optimization Based on Independent Subspaces M.K.Shin
  13. Numerical Optimization Techniques for Engineering Design G.N.Vanderplaats
  14. Introduction to Optimum Design J.S.Arora
  15. Journal of Aircraft v.27 no.12 Sensitivity Analysis and Multidisciplinary Design Optimization for Aircraft Design: Recent Advances and Results J. Sobieszczanski-Sobieski https://doi.org/10.2514/3.45973
  16. Proceedings of AIAA/ASME/ASCE/AHS 22th Structures, Structure Dynamics, and Materials Conference Sensitivity of Optimum Solutions to Problem Parameters J. Sobieszczanski-Sobieski;J.F.Barthelemy(ed.);K.M.Riley(ed.)