Parameter–dependent eigenvalue problem occurs in a host of engineering contexts. Structural design under dynamic loading is concerned with the evaluation of eigenvalues for a large number of structures, each evaluation corresponding to a combination of design parameters. Exact calculation of the natural frequencies of all the models considered is computationally expensive. Here structural problems that possess gyroscopy, typically encountered in the analysis of rotating elastic structures, are considered. Approximate but inexpensive calculations are sought for this class of problems. In the present work, an algorithm for approximating the natural frequencies of undamped gyroscopic systems is presented. Numerical examples show excellent accu...
ABSTRACT: Most of the eigenvalue analysis methods for the undamped or proportionally damped systems ...
The Automated Multi-Level Substructuring (AMLS) has been developed to reduce the computational deman...
A method based on reduced basis approximation concepts is presented for improved first-order approxi...
The discussion begins with the classification of eigenvalue problems arising from conservative and n...
Eigenvalue problems, that depend on a parameter, are frequently encountered in structural engineerin...
AbstractThe solutions of a gyroscopic vibrating system oscillating about an equilibrium position, wi...
Conventionally, the eigenanalysis of a nonclassically damped dynamic system is performed in a space ...
This paper provides details of developments pertaining to vibration analysis of gyroscopic systems, ...
This paper presents an efficient numerical solution of the quadratic eigenproblem arising in the ana...
This paper presents and proves an algorithm for determining the natural undamped frequencies of vibr...
A perturbation method for the eigenanalysis of nonclassically damped dynamic systems is derived and ...
In many design search and optimization situations, the objective of optimization or design improveme...
A general numerical algorithm is presented that produces a complete set of orthogonal vectors that c...
Through the year’s preventive maintenance, which is based on vibration measurements has grown in imp...
In this paper, free vibrations of a rotating clamped Euler-Bernoulli beams with uniform cross sectio...
ABSTRACT: Most of the eigenvalue analysis methods for the undamped or proportionally damped systems ...
The Automated Multi-Level Substructuring (AMLS) has been developed to reduce the computational deman...
A method based on reduced basis approximation concepts is presented for improved first-order approxi...
The discussion begins with the classification of eigenvalue problems arising from conservative and n...
Eigenvalue problems, that depend on a parameter, are frequently encountered in structural engineerin...
AbstractThe solutions of a gyroscopic vibrating system oscillating about an equilibrium position, wi...
Conventionally, the eigenanalysis of a nonclassically damped dynamic system is performed in a space ...
This paper provides details of developments pertaining to vibration analysis of gyroscopic systems, ...
This paper presents an efficient numerical solution of the quadratic eigenproblem arising in the ana...
This paper presents and proves an algorithm for determining the natural undamped frequencies of vibr...
A perturbation method for the eigenanalysis of nonclassically damped dynamic systems is derived and ...
In many design search and optimization situations, the objective of optimization or design improveme...
A general numerical algorithm is presented that produces a complete set of orthogonal vectors that c...
Through the year’s preventive maintenance, which is based on vibration measurements has grown in imp...
In this paper, free vibrations of a rotating clamped Euler-Bernoulli beams with uniform cross sectio...
ABSTRACT: Most of the eigenvalue analysis methods for the undamped or proportionally damped systems ...
The Automated Multi-Level Substructuring (AMLS) has been developed to reduce the computational deman...
A method based on reduced basis approximation concepts is presented for improved first-order approxi...