As time-to-market also in aerospace begins to play a crucial role, accurate predictions and simulations of the behavior of new structures based on analytical models become more and more important. A modal identification must be performed to obtain modal parameters which can be compared with the pre-test analytical results using correlation techniques. Based on the outcome of the correlation analysis, the analytical models must be ‘updated ’ such that they more accurately predict the actual test results. Since often the time is lacking to validate each component separately, it is a great challenge to define an optimal sensor set for the complete assembly, including internal components. Also, new materials, hyper-new design and not to forget ...
Sensor placement is a vital factor affecting the quality and accuracy of virtual sensing. Modal expa...
International audienceAn important issue in vibroacoustics is the topic of verification and validati...
The paper investigates the role of model errors and parametric uncertainties in optimal or near opti...
Modal testing of large structures is usually performed in multiple setups in order to obtain suffici...
This paper proposes a procedure for optimising sensors placement during experimental testing. The se...
The research in this thesis is associated with different aspects of experimental analyses of structu...
Making ground vibration tests more efficient is an ongoing request from aircraft manufacturers in or...
The paper presents an approach to experimentally determine the modal sensitivity derivatives with re...
Modal testing is normally performed by experienced test engineers and technicians. On the base of th...
This work summarizes the views of current authors on the multifaceted problems associated with updat...
This paper describes the use of some tools for matching modal test data and finite element model res...
This paper concerns the various aspects of experimental investigations of the structural dynamics of...
The vibration characteristics of aerospace structures are investigated in so-called ground vibration...
This paper summarizes modal identification results obtained using an autonomous version of the Eigen...
Ground vibration testing (GVT) of aircraft structures belongs to the most challenging task under the...
Sensor placement is a vital factor affecting the quality and accuracy of virtual sensing. Modal expa...
International audienceAn important issue in vibroacoustics is the topic of verification and validati...
The paper investigates the role of model errors and parametric uncertainties in optimal or near opti...
Modal testing of large structures is usually performed in multiple setups in order to obtain suffici...
This paper proposes a procedure for optimising sensors placement during experimental testing. The se...
The research in this thesis is associated with different aspects of experimental analyses of structu...
Making ground vibration tests more efficient is an ongoing request from aircraft manufacturers in or...
The paper presents an approach to experimentally determine the modal sensitivity derivatives with re...
Modal testing is normally performed by experienced test engineers and technicians. On the base of th...
This work summarizes the views of current authors on the multifaceted problems associated with updat...
This paper describes the use of some tools for matching modal test data and finite element model res...
This paper concerns the various aspects of experimental investigations of the structural dynamics of...
The vibration characteristics of aerospace structures are investigated in so-called ground vibration...
This paper summarizes modal identification results obtained using an autonomous version of the Eigen...
Ground vibration testing (GVT) of aircraft structures belongs to the most challenging task under the...
Sensor placement is a vital factor affecting the quality and accuracy of virtual sensing. Modal expa...
International audienceAn important issue in vibroacoustics is the topic of verification and validati...
The paper investigates the role of model errors and parametric uncertainties in optimal or near opti...