A second-order accurate three sub-step composite algorithm for structural dynamics

In this paper, a novel three sub-step composite algorithm with desired numerical properties is developed. The proposed method is a self-starting, unconditionally stable and second-order accurate implicit algorithm without overshoot. Particularly, the second-order accuracy in time is achieved in its...

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Vydáno v:Applied Mathematical Modelling Ročník 77; s. 1391
Hlavní autoři: Li, Jinze, Yu, Kaiping, He, Haonan
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Elsevier BV 01.01.2020
Témata:
Algorithms
Computational efficiency
Computer simulation
Computing costs
Cost analysis
Cost engineering
Damping
Elongation
Mass-spring systems
Matrix methods
Stability analysis
Stiffness matrix
ISSN:1088-8691, 0307-904X
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Shrnutí:In this paper, a novel three sub-step composite algorithm with desired numerical properties is developed. The proposed method is a self-starting, unconditionally stable and second-order accurate implicit algorithm without overshoot. Particularly, the second-order accuracy in time is achieved in its final form, but it is not required in each sub-step. Its unique algorithmic parameter is analyzed to achieve the unconditional stability and it shares the identical effective stiffness matrix inside three sub-steps to save the computational cost in linear analyses. The same as the Bathe algorithm, the proposed algorithm is always L-stable, meaning that the spurious high-frequency modes can be effectively eliminated. Three numerical examples are simulated to illustrate the superiority of the proposed algorithm over some existing implicit algorithms. The first numerical simulation, solving a linear single-degree-of-freedom system, shows less period elongation errors and the second-order accuracy of the present scheme. The second one, a clamped-free bar excited by the end load, shows the ability of effectively damping out the unexpected high-frequency modes. The last example solves the nonlinear mass-spring system with variable degree-of-freedoms and illustrates that the composite sub-step algorithm can save more computational cost than the traditional implicit algorithm when the integration step size is selected appropriately.
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ISSN:1088-8691
0307-904X
DOI:10.1016/j.apm.2019.08.022