RELIABILITY-BASED EXPERIMENT PLANNING WITH LINEAR REGRESSION MODELS

In many applications experimental data are fitted to linear regression models. In fatigue analyses of offshore steel platforms fitted linear models are used both in the SN-approach and in the fracture mechanics approach. In this paper the problem of how to make optimal planning of experiments to be used in the linear regression models is considered. Optimal planning for a certain class of problems can be performed using preposterior analyses from Bayesian decision theory. It is shown how cost optimal reliability- based experiment plans can be obtained using first order reliability methods. An illustrative example is shown.

  • Supplemental Notes:
    • OMAE 1995, 14th Intl Conf on Offshore Mechanics & Arctic Engng; 18-22 June 1995; Copenhagen, Denmark. Sponsored by ASME et al. Procs. Publ by ASME, ISBN 0-7918-1308-8. Vol II, p 253 [8 p, 12 ref, 7 tab, 1 fig]
  • Authors:
    • Kroon, I B
    • FABER, M H
    • S rensen, J D
  • Publication Date: 1995

Language

  • English

Subject/Index Terms

Filing Info

  • Accession Number: 00718770
  • Record Type: Publication
  • Source Agency: British Maritime Technology
  • Files: TRIS
  • Created Date: Mar 27 1996 12:00AM