TY - JOUR
T1 - Mode-superposition correction method for deterministic and stochastic analysis of structural systems
AU - Benfratello, Salvatore
AU - Muscolino, Giuseppe
AU - Muscolino, Giuseppe Alfredo
PY - 2001
Y1 - 2001
N2 - The role played by the modal analysis in the framework of structural dynamics is fundamental from both deterministic and stochastic point of view. However the accuracy obtained by means of the classical modal analysis is not always satisfactory. Therefore it is clear the importance of methods able to correct the modal response in such a way to obtain the required accuracy. Many methods have been proposed in the last years but they are meaningful only when the forcing function is expressed by an analytical function. Moreover in stochastic analysis they fail for white noise excitation. In the paper a method able to give a very accurate response for both deterministic and stochastic input is presented. This method is based upon the use of Ritz vectors together with the classical modal analysis. Numerical applications for both deterministic and stochastic inputs show the great accuracy of the proposed method. © 2001 Civil-Comp Ltd. and Elsevier Science Ltd. All rights reserved.
AB - The role played by the modal analysis in the framework of structural dynamics is fundamental from both deterministic and stochastic point of view. However the accuracy obtained by means of the classical modal analysis is not always satisfactory. Therefore it is clear the importance of methods able to correct the modal response in such a way to obtain the required accuracy. Many methods have been proposed in the last years but they are meaningful only when the forcing function is expressed by an analytical function. Moreover in stochastic analysis they fail for white noise excitation. In the paper a method able to give a very accurate response for both deterministic and stochastic input is presented. This method is based upon the use of Ritz vectors together with the classical modal analysis. Numerical applications for both deterministic and stochastic inputs show the great accuracy of the proposed method. © 2001 Civil-Comp Ltd. and Elsevier Science Ltd. All rights reserved.
KW - Civil and Structural Engineering
KW - Computer Science Applications1707 Computer Vision and Pattern Recognition
KW - Dynamic correction methods
KW - Dynamics of structures
KW - Materials Science (all)
KW - Mechanical Engineering
KW - Modal analysis
KW - Mode-superposition methods
KW - Modeling and Simulation
KW - Civil and Structural Engineering
KW - Computer Science Applications1707 Computer Vision and Pattern Recognition
KW - Dynamic correction methods
KW - Dynamics of structures
KW - Materials Science (all)
KW - Mechanical Engineering
KW - Modal analysis
KW - Mode-superposition methods
KW - Modeling and Simulation
UR - http://hdl.handle.net/10447/285109
M3 - Article
VL - 79
SP - 2471
EP - 2480
JO - COMPUTERS & STRUCTURES
JF - COMPUTERS & STRUCTURES
SN - 0045-7949
ER -