A NUMERICAL APPROACH FOR FAULT DETECTION IN BEAM-LIKE STRUCTURES USING MODAL STRAIN ENERGY
Published
2013-09-27
Articles
Abstract
Vibration-baseddamage detection is based on the fact that measurements of changes in thevibration properties of a structure can be used to determine the occurrence ofstructural damage. Therefore, there is a strong need for the development andimplementation of fault detection and optimum sensor location methods thataddress the issue of limited instrumentation and its effect in predictingdamage degradation. In this paper, the results of a numerical implementation ofa previously developed sensor distribution method are presented. A finiteelement model of a railway box-girder bridge is assembled. Then, the damageindex method is numerically implemented in order to identify damage from theresulting sensor measurements. Both the optimum sensor placement and the damagedetection methods are based on the concept of modal strain energy. Finally, thenumerical results show that the proposed approach is suitable for continuousdamage monitoring implementations and can be used as a useful tool for damageassessment in beam-like structures.
Authors
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Carlos Alberto Riveros
Universidad de Antioquia
Carlos Alberto Riveros
Ingeniero Civil, Universidad Industrial de Santander; Master of Engineering, The University of Tokyo; Doctor of Engineering, Kyoto University. Profesor Asistente, Ingeniería Civil, Escuela Ambiental, Universidad de Antioquia.Medellín, Colombia. -
Edwin Fabián García
Universidad de Antioquia
Edwin Fabián García
Ingeniero Civil, Universidad Nacional de Colombia; Master of Engineering, The University of Tokyo; PhD. (c) ofEngineering, Kyoto University. Profesor Asistente, Ingeniería Civil, Escuela Ambiental, Universidad de Antioquia.Medellín, Colombia. -
Manuel Alonso Builes
Universidad de Antioquia
Manuel Alonso Builes
Ingeniero Civil, Universidad Nacional de Colombia; Master of Engineering, The University of Tokyo. Ingeniero Senior,Solingral S. A. Profesor de cátedra, Ingeniería Civil, Escuela Ambiental, Universidad de Antioquia. Medellín,Colombia.
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