Damage detection in metallic beams from dynamic strain measurements under different load cases by using automatic clustering and pattern recognition techniques

Julián Sierra-Pérez, M. A. Torres-Arredondo, Guénaël Cabanes, Alfredo Güemes, Luis E. Mujica, Claus Peter Fritzen

    Resultado de la investigación: Contribución a una conferenciaArtículorevisión exhaustiva

    1 Cita (Scopus)

    Resumen

    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. 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 (DS2L-SOM) Clustering based on Self-Organizing Maps (SOM) and Principal Components Analysis (PCA) 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 aluminum beam, under a set of combined loads under dynamic conditions. Strains were measured at several points by using Fiber Bragg Gratings.

    Idioma originalInglés
    Páginas1093-1100
    Número de páginas8
    EstadoPublicada - 2014
    Evento7th European Workshop on Structural Health Monitoring, EWSHM 2014 - Nantes, Francia
    Duración: 8 jul. 201411 jul. 2014

    Conferencia

    Conferencia7th European Workshop on Structural Health Monitoring, EWSHM 2014
    País/TerritorioFrancia
    CiudadNantes
    Período8/07/1411/07/14

    Nota bibliográfica

    Publisher Copyright:
    © Inria (2014).

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