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首页> 外文期刊>Mathematical Problems in Engineering >Identification of Flexural Rigidity in a Kirchhoff Plates Model Using a Convex Objective and Continuous Newton Method
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Identification of Flexural Rigidity in a Kirchhoff Plates Model Using a Convex Objective and Continuous Newton Method

机译:凸物镜和连续牛顿法在基尔霍夫板模型中的刚度识别

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摘要

This work provides a detailed theoretical and numerical study of the inverse problem of identifying flexural rigidity in Kirchhoff plate models. From a mathematical standpoint, this inverse problem requires estimating a variable coefficient in a fourth-order boundary value problem. This inverse problem and related estimation problems associated with general plates and shell models have been investigated by numerous researchers through an optimization framework using the output least-squares (OLSs) formulation. OLS yields a nonconvex framework and hence it is suitable for investigating only the local behavior of the solution. In this work, we propose a new convex framework for the inverse problem of identifying a variable parameter in a fourth-order inverse problem. Existence results, optimality conditions, and discretization issues are discussed in detail. The discrete inverse problem is solved by using a continuous Newton method. Numerical results show the feasibility of the proposed framework.
机译:这项工作为在Kirchhoff板模型中识别抗弯刚度的反问题提供了详细的理论和数值研究。从数学观点来看,该反问题需要估计四阶边值问题中的可变系数。许多研究人员通过使用输出最小二乘(OLS)公式的优化框架,研究了与通用板和壳模型相关的逆问题和相关的估计问题。 OLS产生非凸框架,因此仅适合研究解决方案的局部行为。在这项工作中,我们为识别四阶逆问题中的可变参数的逆问题提出了一个新的凸框架。详细讨论了存在结果,最优条件和离散化问题。离散逆问题通过使用连续牛顿法解决。数值结果表明了该框架的可行性。

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  • 来源
    《Mathematical Problems in Engineering 》 |2015年第16期| 290301.1-290301.11| 共11页
  • 作者单位

    Rochester Inst Technol, Sch Math Sci, Ctr Appl & Computat Math, Rochester, NY 14623 USA.;

    Rochester Inst Technol, Sch Math Sci, Ctr Appl & Computat Math, Rochester, NY 14623 USA.;

    Rochester Inst Technol, Sch Math Sci, Ctr Appl & Computat Math, Rochester, NY 14623 USA.;

    Univ Catania, Dept Math & Comp Sci, I-95125 Catania, Italy.;

    Univ Halle Wittenberg, Inst Math, D-06120 Halle, Saale, Germany.;

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