Details

Autor(en) / Beteiligte

• Pedram, Masoud
• Esfandiari, Akbar
• Khedmati, Mohammad Reza

Titel

Damage detection by a FE model updating method using power spectral density: Numerical and experimental investigation

Ist Teil von

• Journal of sound and vibration, 2017-06, Vol.397, p.51-76

Ort / Verlag

Amsterdam: Elsevier Ltd

Erscheinungsjahr

2017

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This paper investigates the viability of damage detection using power spectral density (PSD) of structural response both numerically and experimentally. The paper establishes a sensitivity based damage detection method to use PSD. The advantages of PSD as a model updating metric are explained and its challenges are addressed. An approximate frequency response function of damaged model is used to redeem the method for the effect of incomplete measurement. The robust solution of the developed sensitivity equation is achieved through a least-squares error minimization scheme, and the challenging issues are discussed. The ability of the method in localizing and quantifying the damage and its robustness against measurement and modeling errors is investigated by a numerical example. Experimental vibration test data of a laboratory concrete beam with various level of distributed damage is used to probe the method in practical conditions. The results show that PSD of response can be used to detect damages in lower frequency ranges with acceptable accuracy. •The use of power spectral density function as a model updating metric is justified.•An exact sensitivity equation is used for damage detection through FE model updating.•The method is examined numerically in presence of different levels of simulated random error, mass modelling and natural frequency error.•The method is compared with other methods of sensitivity calculation and FRF to justify the advantages.•The performance of the method in practical conditions is probed using the vibration data of laboratory concrete beam.