Assessment of explicit and semi-explicit classes of model-based algorithms for direct integration in structural dynamics

Summary The ‘model‐based’ algorithms available in the literature are primarily developed for the direct integration of the equations of motion for hybrid simulation in earthquake engineering, an experimental method where the system response is simulated by dividing it into a physical and an analytic...

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Published in:International journal for numerical methods in engineering Vol. 107; no. 1; pp. 49 - 73
Main Authors: Kolay, Chinmoy, Ricles, James M.
Format: Journal Article
Language:English
Published: Bognor Regis Blackwell Publishing Ltd 06.07.2016
Wiley Subscription Services, Inc
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ISSN:0029-5981, 1097-0207
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Summary:Summary The ‘model‐based’ algorithms available in the literature are primarily developed for the direct integration of the equations of motion for hybrid simulation in earthquake engineering, an experimental method where the system response is simulated by dividing it into a physical and an analytical domain. The term ‘model‐based’ indicates that the algorithmic parameters are functions of the complete model of the system to enable unconditional stability to be achieved within the framework of an explicit formulation. These two features make the model‐based algorithms also potential candidates for computations in structural dynamics. Based on the algorithmic difference equations, these algorithms can be classified as either explicit or semi‐explicit, where the former refers to the algorithms with explicit difference equations for both displacement and velocity, while the latter for displacement only. The algorithms pertaining to each class are reviewed, and a new family of second‐order unconditionally stable parametrically dissipative semi‐explicit algorithms is presented. Numerical characteristics of these two classes of algorithms are assessed under linear and nonlinear structural behavior. Representative numerical examples are presented to complement the analytical findings. The analysis and numerical examples demonstrate the advantages and limitations of these two classes of model‐based algorithms for applications in structural dynamics. Copyright © 2015 John Wiley & Sons, Ltd.
Bibliography:P.C. Rossin College of Engineering and Applied Science (RCEAS) fellowship
ArticleID:NME5153
istex:2126BF408B4BAF507FA4CB55BB0EC3A94E9791F0
Yen fellowship
ark:/67375/WNG-TRLCRFDX-N
PhD candidate and P. C. Rossin Doctoral Fellow.
Bruce G. Johnston Professor.
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ISSN:0029-5981
1097-0207
DOI:10.1002/nme.5153