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Damage detection in metallic beams from dynamic strain measurements under different load cases by using automatic clustering and pattern recognition techniques
Año:2014
Áreas de investigación
  • Ingenierías
Datos
Descripción
In general, the change in the local strain field or global stiffness caused by damage in a structure is very small and the strain field tends to homogenize very quickly in the field close to the defect according to the Saint-Venant?s principle. Moreover, other environmental effects can fade the slight changes in the strain field. Only by comparing the response of the structure at several points some information about damage may be unveiled. By means of pattern recognition techniques based on the strain field, this task can be achieved. This is the basis of the strain measurements data-driven models. The main limitation of the strain field pattern recognition techniques lies in the susceptibility of the strain field to change depending on the load conditions. In the case of dynamic loads, this may reflect even a greater limitation. Robust automated techniques are required to manage these limitations. In first instance, automatic clustering techniques are needed so that data can be classified according to the load conditions and secondly, a dimensional reduction technique is needed in order to obtain patterns that often underlie from data. Within the context of this paper, a combination of Local Density-based Simultaneous Two- Level Clustering based on Self-Organizing Maps and Principal Components Analysis is proposed in order to firstly, classify load conditions and secondly, perform strain field pattern recognition. The clustering technique is the basis for an Optimal Baseline Selection. An experimental validation of the technique is discussed in this paper, comparing damages of different sizes and positions in an aluminium beam, under a set of combined loads under dynamic conditions. Strains were measured at several points by using Fibre Bragg Gratings.
Internacional
Si
Nombre congreso
7th European Workshop on Structural Health Monitoring
Tipo de participación
960
Lugar del congreso
Nantes, Francia
Revisores
Si
ISBN o ISSN
DOI
Fecha inicio congreso
08/07/2014
Fecha fin congreso
11/07/2014
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Título de las actas
Proceedings of the 7th European Workshop on Structural Health Monitoring
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Julian Sierra Perez (UPM)
  • Autor: Miguel Angel Torres (U Siegen)
  • Autor: Guenael Cabanes (Universite Paris-Nord)
  • Autor: Jesus Alfredo Guemes Gordo (UPM)
  • Autor: Luis Eduardo Mujica (UPC)
  • Autor: Claus Peter Fritzen (U Siegen)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Materiales y Producción Aeroespacial
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