Model correction factor method for system analysis

Ove Dalager Ditlevsen, Johannes M. Johannesen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The Model Correction Factor Method is an intelligent response surface method based on simplifiedmodeling. MCFM is aimed for reliability analysis in case of a limit state defined by an elaborate model. Herein it isdemonstrated that the method is applicable for elaborate limit state surfaces on which severallocally most central points exist without there being a simple geometric definition of the corresponding failuremodes such as is the case for collapse mechanisms in rigid plastic hinge models for frame structures. Taking as simplifiedidealized model a model of similarity with the elaborate model but with clearly defined failure modes, the MCFM can bestarted from each idealized single mode limit state in turn to identify a locally most central point on the elaborate limitstate surface. Typically this procedure leads to a fewer number of locally most central failure points on the elaboratelimit state surface than existing in the idealized model.
    Original languageEnglish
    Title of host publicationApplications of Statistics and Probability, Civil Engineering Reliability and Risk Analysis
    Place of PublicationRotterdam
    PublisherCRC Press/Balkema
    Publication date2000
    Pages1011-1018
    Publication statusPublished - 2000
    Event8th International Conference on Applications of Probability and Statistics to Civil Engineering - Sydney, Australia
    Duration: 12 Dec 199915 Dec 1999
    Conference number: 8

    Conference

    Conference8th International Conference on Applications of Probability and Statistics to Civil Engineering
    Number8
    CountryAustralia
    CitySydney
    Period12/12/199915/12/1999

    Cite this

    Ditlevsen, O. D., & Johannesen, J. M. (2000). Model correction factor method for system analysis. In Applications of Statistics and Probability, Civil Engineering Reliability and Risk Analysis (pp. 1011-1018). CRC Press/Balkema.