This work proposes a new output-only modal analysis method to extract mode shapes and natural frequencies of a structure.
The eigensystem realization algorithm is used to extract mode shapes, frequencies, and damping from simulated response data for varying levels of noise and damping.
The proposed approach expands the applications of digital image correlation technique in the field of structural dynamics and enables us to extract mode shapes of a complex structure using this optical technique.
In the modal analysis module, Block Lanczos solver performance output was used to extract mode shapes and natural frequencies.
This technique enables us to extract the mode shapes of complex structures using only a single pair of cameras.
Section 2 describes the feasibility and the theoretical basis of using the ARMA and Prony models together to extract the mode shapes from ambient data.
This method is well suited to analyze inter-area oscillation due to its ability to extract the mode shapes, the oscillation frequencies, and their damping identified from multiple dynamic responses, such as generator speed and active power oscillating signals.
The approach of Prony model to estimate the electromechanical properties of power grids can be broken down into two parts [2, 3]: first, calculating the eigenvalues of discrete model for estimating the modal frequency and damping ratio; second, computing the weights or coefficients to further extract the mode shapes properties.
To solve this problem, this paper develops a simple method to approximately extract structural mode shape squares from the acceleration of a passing tapping "vehicle", which serves as a "message carrier" of the dynamic properties of the structure.
Based on the theoretical deduction of the ARMA-P method in Section 2, the equations of this new approach for extracting the mode shape information from ambient signals are derived in this section.
Block Lanczos method was adopted to extract the vibration mode shapes and the resonant frequencies.
