Premium
An efficient and unconditionally stable numerical algorithm for nonlinear structural dynamics
Author(s) -
Xu Junjie,
Huang Yuli,
Qu Zhe
Publication year - 2020
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.6456
Subject(s) - jacobian matrix and determinant , integrator , spurious relationship , constant (computer programming) , nonlinear system , matrix (chemical analysis) , stability (learning theory) , algorithm , mathematics , consistency (knowledge bases) , control theory (sociology) , numerical stability , mathematical optimization , computer science , numerical analysis , computer network , mathematical analysis , statistics , physics , materials science , geometry , control (management) , bandwidth (computing) , quantum mechanics , machine learning , artificial intelligence , composite material , programming language
Summary This article proposes an algorithm for express solutions in nonlinear structural dynamics. Our strategy is to adopt a typical time integrator and accept the solution after a constant number of iterations using a constant Jacobian matrix. Its success may not be initially obvious, but we demonstrate that the proposed algorithm not only is fully operational but also inherits the advantages of the host time integrators such as the unconditional stability, the order of accuracy, and the numerical dissipation that helps suppress the spurious higher mode oscillation. The use of a constant Jacobian matrix plays the key role in minimizing the computational expense associated with matrix operations. We first study the optimization of the number of iterations, then present the consistency and stability analysis followed by some examples verifying these features, and conclude by showing the exponential efficiency improvement in a response history analysis of a high‐rise building fully equipped with nonlinearities.