CONVERGENCE AND STABILITY OF STEP-BY-STEP INTEGRATION FOR MODEL WITH NEGATIVE-STIFFNESS.

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作者
Cheng, Minxian [1 ]
机构
[1] Tsinghua Univ, Beijing, China, Tsinghua Univ, Beijing, China
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MATHEMATICAL MODELS - MATHEMATICAL TECHNIQUES - Convergence of Numerical Methods;
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摘要
Convergence conditions and stability conditions 1,2 or 3 were established. The numerical stability of the integration under negative-stiffness belongs to the category of relative stability; consequently, the concepts and the conclusions concerning numerical stability in the case of positive-stiffness (which belongs to absolute stability) cannot be used. The central difference method is convergent and unconditionally stable in the case of negative-stiffness, though it is only conditionally stable in the case of positive-stiffness. The Houbolt method satisfies the requirement for convergence; its stability, however, depends not only on the integration step size DELTA t but also on the stiffness ratio beta for the model with negative-stiffness, unlike the unconditional stability for the model with positive-stiffness. The Newmark constant acceleration method is convergent and unconditionally stable in the case of negative-stiffness just like it is in the case of positive-stiffness.
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页码:227 / 244
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