A strategy for the identification of building structures under base excitations

Liborio Cavaleri, Giuseppina Amato

Research output: Contribution to conferenceOther

Abstract

In this paper the evolution of a time domain dynamic identification technique based on a statistical momentapproach is presented. This technique is usable in the case of structures under base random excitations in thelinear state and in the non linear one. By applying Itoˆ stochastic calculus special algebraic equations can beobtained depending on the statistical moments of the response of the system to be identified. Such equationscan be used for the dynamic identification of the mechanical parameters and of the input. The above equations,differently from many techniques in the literature, show the possibility to obtain the identification of thedissipation characteristics independently from the input. Through the paper the first formulation of thistechnique, applicable to non linear systems, based on the use of a restricted class of the potential models, ispresented. Further a second formulation of the technique in object, applicable to each kind of linear systems andbased on the use of a class of linear models characterized by a mass proportional damping matrix, is described.
Original languageEnglish
Number of pages8
Publication statusPublished - 2008

Fingerprint

Linear systems
Nonlinear systems
Damping

Cite this

A strategy for the identification of building structures under base excitations. / Cavaleri, Liborio; Amato, Giuseppina.

2008.

Research output: Contribution to conferenceOther

@conference{08e3243583804eb1a900dbc2cb327284,
title = "A strategy for the identification of building structures under base excitations",
abstract = "In this paper the evolution of a time domain dynamic identification technique based on a statistical momentapproach is presented. This technique is usable in the case of structures under base random excitations in thelinear state and in the non linear one. By applying Itoˆ stochastic calculus special algebraic equations can beobtained depending on the statistical moments of the response of the system to be identified. Such equationscan be used for the dynamic identification of the mechanical parameters and of the input. The above equations,differently from many techniques in the literature, show the possibility to obtain the identification of thedissipation characteristics independently from the input. Through the paper the first formulation of thistechnique, applicable to non linear systems, based on the use of a restricted class of the potential models, ispresented. Further a second formulation of the technique in object, applicable to each kind of linear systems andbased on the use of a class of linear models characterized by a mass proportional damping matrix, is described.",
keywords = "civil structures, linear and non linear models, mass proportional damping, system identification, white noise",
author = "Liborio Cavaleri and Giuseppina Amato",
year = "2008",
language = "English",

}

TY - CONF

T1 - A strategy for the identification of building structures under base excitations

AU - Cavaleri, Liborio

AU - Amato, Giuseppina

PY - 2008

Y1 - 2008

N2 - In this paper the evolution of a time domain dynamic identification technique based on a statistical momentapproach is presented. This technique is usable in the case of structures under base random excitations in thelinear state and in the non linear one. By applying Itoˆ stochastic calculus special algebraic equations can beobtained depending on the statistical moments of the response of the system to be identified. Such equationscan be used for the dynamic identification of the mechanical parameters and of the input. The above equations,differently from many techniques in the literature, show the possibility to obtain the identification of thedissipation characteristics independently from the input. Through the paper the first formulation of thistechnique, applicable to non linear systems, based on the use of a restricted class of the potential models, ispresented. Further a second formulation of the technique in object, applicable to each kind of linear systems andbased on the use of a class of linear models characterized by a mass proportional damping matrix, is described.

AB - In this paper the evolution of a time domain dynamic identification technique based on a statistical momentapproach is presented. This technique is usable in the case of structures under base random excitations in thelinear state and in the non linear one. By applying Itoˆ stochastic calculus special algebraic equations can beobtained depending on the statistical moments of the response of the system to be identified. Such equationscan be used for the dynamic identification of the mechanical parameters and of the input. The above equations,differently from many techniques in the literature, show the possibility to obtain the identification of thedissipation characteristics independently from the input. Through the paper the first formulation of thistechnique, applicable to non linear systems, based on the use of a restricted class of the potential models, ispresented. Further a second formulation of the technique in object, applicable to each kind of linear systems andbased on the use of a class of linear models characterized by a mass proportional damping matrix, is described.

KW - civil structures

KW - linear and non linear models

KW - mass proportional damping

KW - system identification

KW - white noise

UR - http://hdl.handle.net/10447/43470

M3 - Other

ER -