4.4 Article

Multipoint variable generalized displacement methods: Novel nonlinear solution schemes in structural mechanics

期刊

STRUCTURAL ENGINEERING AND MECHANICS
卷 83, 期 2, 页码 135-151

出版社

TECHNO-PRESS
DOI: 10.12989/sem.2022.83.2.135

关键词

generalized displacement adjustment; higher order algorithms; multi-point methods; nonlinear solution scheme; variable generalized displacement method

资金

  1. Ferdowsi University of Mashhad, Iran [FUM 67230]

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The article introduces higher-order generalized displacement methods based on multi-point techniques and proposes a method to adjust generalized displacement according to generalized stiffness. Numerical examples demonstrate that adjusting generalized displacement significantly reduces the number of steps during path-following, and the application of multi-point methods also reduces the number of iterations.
The generalized displacement method is a nonlinear solution scheme that follows the equilibrium path of the structure based on the development of the generalized displacement. This method traces the path uniformly with a constant amount of generalized displacement. In this article, we first develop higher-order generalized displacement methods based on multi-point techniques. According to the concept of generalized stiffness, a relation is proposed to adjust the generalized displacement during the path-following. This formulation provides the possibility to change the amount of generalized displacement along the path due to changes in generalized stiffness. We, then, introduce higher-order algorithms of variable generalized displacement method using multi-point methods. Finally, we demonstrate with numerical examples that the presented algorithms, including multi-point generalized displacement methods and multi-point variable generalized displacement methods, are capable of following the equilibrium path. A comparison with the arc length method, generalized displacement method, and multi-point arc-length methods illustrates that the adjustment of generalized displacement significantly reduces the number of steps during the path-following. We also demonstrate that the application of multi-point methods reduces the number of iterations.

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