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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 58
COMPUTER TECHNIQUES FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and B. Kumar
Paper V.1
Fuzzy Nonlinear Analysis of Reinforced Concrete Existing Structures G. Cristea
Department of Reinforced Concrete Structures, Technical University of Civil Engineering, Bucharest, Romania G. Cristea, "Fuzzy Nonlinear Analysis of Reinforced Concrete Existing Structures", in B.H.V. Topping, B. Kumar, (Editors), "Computer Techniques for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 65-78, 1999. doi:10.4203/ccp.58.5.1
Abstract
The existing R/C structures having uncertain properties are
analyzed using the fuzzy sets theory. The uncertain properties
are defined by fuzzy values. Each fuzzy value consists of a
crisp value and its membership degree. The membership
degree is assimilated to the degree of confidence. The degree
of confidence is estimated by specific methods. The
uncertainty and the fuzziness of the data are estimated by
specific measures. They are used to estimate the quality of
the data and to find out the influence of the input data
uncertainties over the uncertainty of the structural behavior.
Fuzzy constitutive laws describe the structure behavior. The
structural analysis is performed using a fuzzy algebra,
adequate to structural engineering problems. This algebra is
implemented in a library of functions for the fuzzy operations
of the class FUZZY. The library is built in C++ language, on
the principles of the object-oriented programming. During the
computation flow, the degrees of confidence of the properties
are combined and propagate from the input data until the
final results. The method has a broad applicability for the
static and dynamic, linear and nonlinear analysis It can be
used for the nondeterministic analysis of the R/C structures
having uncertain properties. for the improvement of the
deterministic methods, or for the development of the case
studies for checking the code provisions.
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