Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model

Cara Cañas, Francisco Javier and Juan Ruiz, Jesús and Alarcón Álvarez, Enrique (2016). Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model. In: "ISMA2016 - USD2016 Conference", 19-21 September 2016, Leuven, Belgium. pp. 2923-2931.

Description

Title: Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model
Author/s:
  • Cara Cañas, Francisco Javier
  • Juan Ruiz, Jesús
  • Alarcón Álvarez, Enrique
Item Type: Presentation at Congress or Conference (Article)
Event Title: ISMA2016 - USD2016 Conference
Event Dates: 19-21 September 2016
Event Location: Leuven, Belgium
Title of Book: PROCEEDINGS OF ISMA2016 INCLUDING USD2016
Título de Revista/Publicación: PROCEEDINGS OF ISMA2016 INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING AND USD2016 INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS
Date: 2016
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

The usual way to perform a forced vibration test is to fix accelerometers to the structure, then apply a known input and record the response of the structure. An interesting variant consists of subsequently repeating the test but with the input force applied to different points, roving the input from test to test but not the sensors. In a second phase, individual frequency response functions are combined in a single frequency response function which takes into account all the information. The advantage of this procedure is double: first, the mode shapes can be estimated at all points where inputs are applied (using the dynamic reciprocity theorem); and second, the measured forces allow to scale the mode shapes to unit modal mass. This problem is solved in technical literature in the frequency domain. In this work we propose a state space model that can be used to solve the problem in the time domain. We also propose a maximum likelihood algorithm to estimate such a model.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainBIA2014-59321-C2-1-RUnspecifiedUnspecifiedPrognosis and integrated analysis of the human-induced vibrations in structures

More information

Item ID: 45990
DC Identifier: http://oa.upm.es/45990/
OAI Identifier: oai:oa.upm.es:45990
Official URL: https://www.isma-isaac.be/past/conf/isma2016/
Deposited by: Memoria Investigacion
Deposited on: 24 May 2017 15:59
Last Modified: 21 Sep 2017 22:30
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM