Sessa, Salvatore (2008) Application of the Tail-Equivalent Linearization Method for Stochastic Dynamic Analysis with Asymmetric Hysteresis. [Tesi di dottorato] (Unpublished)
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Item Type: | Tesi di dottorato |
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Resource language: | English |
Title: | Application of the Tail-Equivalent Linearization Method for Stochastic Dynamic Analysis with Asymmetric Hysteresis |
Creators: | Creators Email Sessa, Salvatore sal.sessa@gmail.com |
Date: | 30 November 2008 |
Number of Pages: | 178 |
Institution: | Università degli Studi di Napoli Federico II |
Department: | Ingegneria dei materiali e della produzione |
Dottorato: | Ingegneria dei materiali e delle strutture |
Ciclo di dottorato: | 21 |
Coordinatore del Corso di dottorato: | nome email Acierno, Domenico UNSPECIFIED |
Coordinatore del Corso di dottorato (extra): | nome email Prota, Andrea UNSPECIFIED |
Tutor: | nome email Rosati, Luciano rosati@unina.it |
Date: | 30 November 2008 |
Number of Pages: | 178 |
Keywords: | Nonlinear Random Vibrations Analysis |
Settori scientifico-disciplinari del MIUR: | Area 08 - Ingegneria civile e Architettura > ICAR/09 - Tecnica delle costruzioni Area 08 - Ingegneria civile e Architettura > ICAR/08 - Scienza delle costruzioni |
Date Deposited: | 13 Nov 2009 14:07 |
Last Modified: | 09 Dec 2014 10:09 |
URI: | http://www.fedoa.unina.it/id/eprint/3329 |
Collection description
The tail-equivalent linearization method (TELM) is used to investigate the stationary response of a system having a highly asymmetric hysteretic behavior and subjected to a discretized white-noise excitation. The equivalent linear system is defined by equating its tail probability with the first-order approximation of the tail probability of the nonlinear response. The equivalent linear system is determined in a non-parametric form in terms of its impulse response function, which depends on the response threshold of interest. The method is able to capture the non-Gaussian and asymmetric distribution of both the point-in-time response and the extreme response over a time interval (the first-passage probability) for large thresholds (small exceedance probabilities), which are of interest in reliability analysis.
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