1973•Journal of the Structural DivisionRequires access

Convergence in Highly Nonlinear Cable Net Problems

Anil Kumar Kar, Clyde Y. Okazaki

Open publisher page 5 citations

Abstract

An iterative method for rapid convergence of nonlinear cable net problems is presented. Three already available methods, and the new method are compared for their efficiency in the convergence of highly nonlinear cable net problems. Three problems used in the comparisons indicate that as the nonlinearity increases, the new iterative method gains in comparative efficiency. For highly nonlinear cases, it is important that the linearized equations of equilibrium should be the true linear equations; otherwise, convergence may not be achieved when the Newton-Raphson procedure or any modified version of it is used for iteration.

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What this paper is about

An iterative method for rapid convergence of nonlinear cable net problems is presented. Three already available methods, and the new method are compared for their efficiency in the convergence of highly nonlinear cable net problems. Three problems used in the comparisons indicate that as the nonlinearity increases, the new iterative method gains in comparative efficiency. For highly nonlinear cases, it is important that the linearized equations of equilibrium should be the true linear equations; otherwise, convergence may not be achieved when the Newton-Raphson procedure or any modified version of it is used for iteration.

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Available abstract

An iterative method for rapid convergence of nonlinear cable net problems is presented. Three already available methods, and the new method are compared for their efficiency in the convergence of highly nonlinear cable net problems. Three problems used in the comparisons indicate that as the nonlinearity increases, the new iterative method gains in comparative efficiency. For highly nonlinear cases, it is important that the linearized equations of equilibrium should be the true linear equations; otherwise, convergence may not be achieved when the Newton-Raphson procedure or any modified version of it is used for iteration.

Key concepts: Nonlinear system, Convergence (economics), Iterative method, Local convergence, Applied mathematics, Net (polyhedron), Newton's method, Mathematical optimization

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