Subspace-based damage detection on steel frame structure under changing excitation

Michael Döhler (1, 2) , Falk Hille (2)

1 I4S - Statistical Inference for Structural Health Monitoring
2 BAM Federal Institute for Materials Research and Testing

Damage detection can be performed by detecting changes in the modal parameters between a reference state and the current (possibly damaged) state of a structure from measured output-only vibration data. Alternatively, a subspace-based damage detection test has been proposed and applied successfully, where changes in the modal parameters are detected, but the estimation of the modal parameters themselves is avoided. Like this, the test can run in an automated way directly on the vibration measurements. However, it was assumed that the unmeasured ambient excitation properties during measurements of the structure in the reference and possibly damaged condition stay constant, which is hardly satisfied by any application. A new version of the test has been derived recently that is robust to such changes in the ambient excitation. In this paper, the robust test is recalled and its performance is evaluated both on numerical simulations and a real application, where a steel frame structure is artificially damaged in the lab.

Domaines: Vibrations [physics.class-ph]; Vibrations [physics.class-ph]; Applications [stat.AP]

Michael Döhler, Falk Hille. Subspace-based damage detection on steel frame structure under changing excitation. IMAC - 32nd International Modal Analysis Conference, SEM, Feb 2014, Orlando, United States. ⟨10.1007/978-3-319-04570-2_19⟩. ⟨hal-00953131⟩