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Nov 4, 2009

Krylov Subspace Accelerated Newton Algorithm: Application to Dynamic Progressive Collapse Simulation of Frames

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Publication: Journal of Structural Engineering
Volume 136, Issue 5

Abstract

An accelerated Newton algorithm based on Krylov subspaces is applied to solving nonlinear equations of structural equilibrium. The algorithm uses a low-rank least-squares analysis to advance the search for equilibrium at the degrees of freedom (DOFs) where the largest changes in structural state occur; then it corrects for smaller changes at the remaining DOFs using a modified Newton computation. The algorithm is suited to simulating the dynamic progressive collapse analysis of frames where yielding and local collapse mechanisms form at a small number of DOFs while the state of the remaining structural components is relatively linear. In addition, the algorithm is able to resolve erroneous search directions that arise from approximation errors in the tangent stiffness matrix. Numerical examples indicate that the Krylov subspace algorithm has a larger radius of convergence and requires fewer matrix factorizations than Newton-Raphson in the dynamic progressive collapse simulation of reinforced concrete and steel frames.

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Acknowledgments

This work and its development in OpenSees have been supported by the Pacific Earthquake Engineering Research Center under Grant No. UNSPECIFIEDEEC-9701568 from the National Science Foundation to the University of California, Berkeley. The writers would like to thank Professor Keith Miller in the Department of Mathematics at the University of California, Berkeley for discussions and guidance regarding the Krylov subspace acceleration algorithm.NSF

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 136Issue 5May 2010
Pages: 473 - 480

History

Received: Sep 1, 2008
Accepted: Nov 2, 2009
Published online: Nov 4, 2009
Published in print: May 2010

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Authors

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Michael H. Scott [email protected]
Assistant Professor, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR 97331 (corresponding author). E-mail: [email protected]
Gregory L. Fenves [email protected]
Dean, Cockrell School of Engineering, Univ. of Texas, Austin, TX 78712. E-mail: [email protected]

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