Sessa, Salvatore (2008) Application of the Tail-Equivalent Linearization Method for Stochastic Dynamic Analysis with Asymmetric Hysteresis. [Tesi di dottorato] (Unpublished)

[img] PDF
Sessa_Salvatore.pdf
Visibile a [TBR] Repository staff only

Download (1MB)
Item Type: Tesi di dottorato
Language: English
Title: Application of the Tail-Equivalent Linearization Method for Stochastic Dynamic Analysis with Asymmetric Hysteresis
Creators:
CreatorsEmail
Sessa, Salvatoresal.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
Doctoral School: Ingegneria industriale
PHD name: Ingegneria dei materiali e delle strutture
PHD cycle: 21
PHD Coordinator:
nameemail
Acierno, DomenicoUNSPECIFIED
PHD coordinator (other):
nameemail
Prota, AndreaUNSPECIFIED
Tutor:
nameemail
Rosati, Lucianorosati@unina.it
Date: 30 November 2008
Number of Pages: 178
Uncontrolled Keywords: Nonlinear Random Vibrations Analysis
MIUR S.S.D.: 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: 30 Apr 2014 19:36
URI: http://www.fedoa.unina.it/id/eprint/3329

Abstract

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.

Actions (login required)

View Item View Item