Litcius/Paper detail

An efficient and unconditionally stable numerical algorithm for nonlinear structural dynamics

Junjie Xu, Yuli Huang, Zhe Qu

2020International Journal for Numerical Methods in Engineering17 citationsDOI

Abstract

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.

Topics & Concepts

Jacobian matrix and determinantIntegratorSpurious relationshipConstant (computer programming)Nonlinear systemMatrix (chemical analysis)Stability (learning theory)AlgorithmMathematicsConsistency (knowledge bases)Control theory (sociology)Numerical stabilityMathematical optimizationComputer scienceNumerical analysisApplied mathematicsBandwidth (computing)Quantum mechanicsArtificial intelligenceProgramming languageMaterials scienceStatisticsMathematical analysisMachine learningComposite materialGeometryControl (management)Computer networkPhysicsNumerical methods for differential equationsModel Reduction and Neural NetworksVibration Control and Rheological Fluids