In this paper an experimental-numerica! methodology is proposed for the in situ assessment of possibly deteriorated elastic properties of dam concrete and for the estimation of the local stress state in a concrete dam. The methodology described herein consists of the following operative stages: excavation of two parallel small holes (instead of the single one generally employed for rock testing); measurements of diameter variations in both holes by dilatometers; combination of experimental tests with computer simulations and inverse analyses for the parameter identifìcation by means of artifìcial neural networks. Numerica] validation tests of this parameter identification methodology are presented and its novelties and potentialities are discussed.

Identification of elastic stiffness and local stresses in concrete dams by in situ tests and neural networks

FEDELE, ROBERTO;MAIER, GIULIO;
2005

Abstract

In this paper an experimental-numerica! methodology is proposed for the in situ assessment of possibly deteriorated elastic properties of dam concrete and for the estimation of the local stress state in a concrete dam. The methodology described herein consists of the following operative stages: excavation of two parallel small holes (instead of the single one generally employed for rock testing); measurements of diameter variations in both holes by dilatometers; combination of experimental tests with computer simulations and inverse analyses for the parameter identifìcation by means of artifìcial neural networks. Numerica] validation tests of this parameter identification methodology are presented and its novelties and potentialities are discussed.
Damage diagnosis
Concrete dams
Artificial Neural Networks
Parameter identification
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/554689
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