During the last decade, many vibration-based structural health monitoring systems have
been successfully implemented in different structures such as bridges, towers, stadia and …

A new modal parameter estimation method to directly establish modal models of structural
dynamic systems satisfying two physically motivated constraints will be presented. The …

In the automotive industry, one of the most important comfort requirements in designing a
high quality vehicle is to avoid or minimize the noise in the passenger compartment …

This paper aims at introducing a methodology to compute stable coupled state-space
models for dynamic substructuring applications by introducing two novel approaches …

Stochastic subspace identification (SSI) and Bayesian methods are now the main
representative approaches for high‐performance system identification and uncertainty …

In this paper, a new feature added to the MLMM modal parameter estimation method
(Maximum Likelihood estimation of a Modal Model) will be introduced. The MLMM method …

This chapter provides the basis and background of all experimental modal analysis (EMA)
methods that have been developed over the last fifty years. In this context, modal parameters …

It has been observed that energy conjugate input-output pair transfer functions with strongly
participating outside-band modes of mechanical systems often render identified state-space …

In this paper, a full Acoustic Modal Analysis (AMA) procedure to improve the CAE
predictions of the car interior noise level is proposed. Some of the challenges that can be …

The interior sound perceived in vehicle cabins is a very important attribute for the user.
Experimental acoustic imaging methods such as beamforming and Near-field Acoustic …