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Uncertain structural design based on nonlinear fuzzy analysis
Author(s) -
Beer M.
Publication year - 2004
Publication title -
zamm ‐ journal of applied mathematics and mechanics / zeitschrift für angewandte mathematik und mechanik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 51
eISSN - 1521-4001
pISSN - 0044-2267
DOI - 10.1002/zamm.200410154
Subject(s) - defuzzification , fuzzy logic , fuzzy set , fuzzy associative matrix , fuzzy number , mathematical optimization , mathematics , fuzzy set operations , fuzzy classification , nonlinear system , computer science , artificial intelligence , physics , quantum mechanics
In this paper a comprehensive application of fuzzy set theory in structural engineering is presented. Non‐stochastic uncertainty is quantified using fuzzy values. The fuzzy structural parameters are processed on the basis of a generally applicable numerical method for arbitrary linear and nonlinear fuzzy structural analyses. This method is formulated in terms of α‐level optimization combined with a modified evolution strategy. The fuzzy structural responses are compared with permissible values and assessed using an analog to the Shannon entropy and defuzzification algorithms. Referring to permissible fuzzy structural responses uncertain structural design parameters are derived by applying a fuzzy cluster analysis to the fuzzy structural parameters. The nonlinear fuzzy structural analysis including uncertain structural design is demonstrated by way of an example.