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

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

Descripción

Título: Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model
Autor/es:
  • Cara Cañas, Francisco Javier
  • Juan Ruiz, Jesús
  • Alarcón Álvarez, Enrique
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: ISMA2016 - USD2016 Conference
Fechas del Evento: 19-21 September 2016
Lugar del Evento: Leuven, Belgium
Título del Libro: 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
Fecha: 2016
Materias:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaBIA2014-59321-C2-1-RSin especificarSin especificarPrognosis and integrated analysis of the human-induced vibrations in structures

Más información

ID de Registro: 45990
Identificador DC: http://oa.upm.es/45990/
Identificador OAI: oai:oa.upm.es:45990
URL Oficial: https://www.isma-isaac.be/past/conf/isma2016/
Depositado por: Memoria Investigacion
Depositado el: 24 May 2017 15:59
Ultima Modificación: 21 Sep 2017 22:30
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