非线性弹性中的斥力特性和规避它的数值方案

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED
Pablo V. Negrón-Marrero, Jeyabal Sivaloganathan
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引用次数: 0

摘要

SIAM 应用数学杂志》,第 84 卷第 4 期,第 1818-1844 页,2024 年 8 月。 摘要。对于变分法中表现出拉夫连季耶夫现象的问题,已知可能存在排斥特性,即如果用平滑函数逼近这些问题中的全局最小值,那么逼近能量将爆炸。因此,标准数值方案(如有限元法)直接应用于这类问题时可能会失败。在本文中,我们证明了对于表现出空化现象的三维弹性变分问题,斥力特性是成立的。此外,我们还提出了一种规避斥力特性的数值方案,它是对莫迪卡和莫托拉函数在液体相变中的应用的改编,其中相函数通过变形梯度行列式与储能函数耦合。我们证明,在多维、非径向情况下,该方法的相应近似值满足下界[math]-收敛特性。在径向变形的情况下,我们确定了球形体对实际空化最小化的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Repulsion Property in Nonlinear Elasticity and a Numerical Scheme to Circumvent It
SIAM Journal on Applied Mathematics, Volume 84, Issue 4, Page 1818-1844, August 2024.
Abstract. For problems in the Calculus of Variations that exhibit the Lavrentiev phenomenon, it is known that a repulsion property may hold, that is, if one approximates the global minimizer in these problems by smooth functions, then the approximate energies will blow up. Thus, standard numerical schemes, like the finite element method, may fail when applied directly to these types of problems. In this paper we prove that a repulsion property holds for variational problems in three-dimensional elasticity that exhibit cavitation. In addition, we propose a numerical scheme that circumvents the repulsion property, which is an adaptation of the Modica and Mortola functional for phase transitions in liquids, in which the phase function is coupled, via the determinant of the deformation gradient, to the stored energy functional. We show that the corresponding approximations by this method satisfy the lower bound [math]–convergence property in the multidimensional, nonradial, case. The convergence to the actual cavitating minimizer is established for a spherical body, in the case of radial deformations.
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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