دانلود مقاله ISI انگلیسی شماره 25811
عنوان فارسی مقاله

تجزیه و تحلیل حساسیت طراحی و بهینه سازی برای کمانش غیر خطی سازه های محافظه کار الاستیک محدود بعدی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
25811 2005 28 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Design sensitivity analysis and optimization for nonlinear buckling of finite-dimensional elastic conservative structures
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computer Methods in Applied Mechanics and Engineering, Volume 194, Issues 30–33, 12 August 2005, Pages 3331–3358

کلمات کلیدی
طراحی بهینه - غیر خطی هندسی - ثبات - تجزیه و تحلیل حساسیت -
پیش نمایش مقاله
پیش نمایش مقاله تجزیه و تحلیل حساسیت طراحی و بهینه سازی برای کمانش غیر خطی سازه های محافظه کار الاستیک محدود بعدی

چکیده انگلیسی

The purpose of this review paper is to summarize the existing methods of design sensitivity analysis and optimization of elastic conservative finite-dimensional systems with respect to nonlinear buckling behavior. Difficulties related to geometrical nonlinear singular behaviors are discussed in detail. Characteristics of optimized structures are demonstrated in reference to snapthrough behavior, hill-top branching, and degenerate critical points. A new optimization result of a flexible truss that fully utilizes the snapthrough behavior is also presented.

مقدمه انگلیسی

In the early stage of optimum design under buckling constraints, optimal shapes of columns were investigated by analytical approaches. Prager and Taylor [50] derived optimality conditions for columns under linear buckling constraints. Since then, numerous number of works have been published on sensitivity analysis and optimization of column-type structures under linear buckling constraints, where difficulties due to discontinuity of sensitivity coefficients related to multiple eigenvalues have been extensively discussed. Optimization methods of columns under linear buckling constraints are not included in this review article, because they can be found in the literature [14], [45] and [57]. Optimization of finite-dimensional structures against buckling started in 1970s. Linear buckling formulation was first used neglecting prebuckling deformation. Khot et al. [24] presented an optimality criteria approach for trusses and frames. They applied their method to a shallow truss, although it is clear that prebuckling deformation should be incorporated for those structures. In 1980s, more practical problems were studied incorporating constraints on displacements and stresses as well as linear buckling load factor [33]. Difficulties due to multiple eigenvalues also exist for finite-dimensional structures. Recently, it was shown that the optimum design with multiple linear buckling load factors can be found by successively solving SemiDefinite Programming (SDP) [22] and [29] without any difficulty by using an interior point method. Small trusses exhibiting limit point instability were studied in the early stage of optimization of geometrically nonlinear finite-dimensional structures [49]. The maximum total potential energy was also used as the performance measure [23], although it is not clear if maximization of the total potential energy is equivalent to that of the limit point load factor. Kamat and Ruangsingha [21] presented a mathematical programming approach for maximizing limit point loads. In 1990s, numerical approaches were presented for optimum designs of moderately large geometrically nonlinear structures. Optimality criteria approaches were mainly used for maximizing the limit point load factor [32] and [55]. Although iterative approaches that are similar to the fully stressed design are simple to implement, the optimality of the solutions derived by those methods is not theoretically clear. Ohsaki and Nakamura [42] presented a method based on parametric programming approach. For building frames, optimization methods were developed independently from general finite-dimensional structures, because they have unique situation such as brace buckling and interaction of local and global buckling modes [27]. Numerical methods utilizing the characteristics of building frames were developed by Hall et al. [13] and Bažant and Xiang [3]. Hjelmstad and Pezeshk [15] presented an optimality criteria approach for buckling and displacement constraints under lateral loads. In this paper, methods of sensitivity analysis of geometrically nonlinear buckling loads and formulations of optimization problems are reviewed. Note that problems relating to linear buckling are out of scope of this paper. In the following, geometrical nonlinearity means effect of large deformation, where the strains are restricted in a small range. Historical backgrounds as well as scopes for future research are included. Only conservative systems subjected to quasi-static proportional loads are considered. Nonconservative systems, dynamic problems, control problems, and path-dependent problems are beyond scope of this review. Although we concentrate on finite-dimensional systems, the methods and problem formulations presented in this paper are valid also for continuum discretized by a finite element approach. In Section 2, the basic equations and classification of critical points are briefly presented. In Section 3, possible formulations of optimization problems and difficulties for obtaining optimal solutions are discussed in relation to snapthrough behavior. The existing methods of sensitivity analysis of geometrically nonlinear responses and critical load factors are reviewed in Section 4. The difficulties due to hill-top branching and degenerate critical point are presented in Section 5. In Section 6, existing studies on imperfection sensitivity of optimized structures are shown. Finally, in Section 7, a new result is presented for a flexible truss to generate large deformation efficiently by incorporating snapthrough behavior.

نتیجه گیری انگلیسی

Difficulties in optimization for geometrically nonlinear buckling behavior have been summarized, and a new optimization results of flexible truss has been presented. The conclusions drawn from this study are summarized as follows: 1. Design sensitivity analysis for regular states can be carried out easily based on the response quantities at the final load level. However, sensitivity coefficients at the critical states cannot be obtained similarly, because the tangent stiffness matrix is singular at the critical point. Furthermore, the sensitivity coefficients may be unbounded at a limit point, or at a degenerate critical point even for a symmetric design modification that corresponds to a minor or second-order imperfection. 2. The critical point disappears if the perfect system has a stable symmetric bifurcation point. In this case, the maximum load may be defined in reference to displacements and stresses of imperfect systems with specified norm of critical imperfection. However, symmetric minor imperfection may be more critical than asymmetric major imperfection. 3. The optimized structure may be extremely sensitive to imperfection due to modal interaction at the coincident critical points if only bifurcation points coincide. However, the hill-top branching points that have bifurcation points at a limit point are not sensitive to initial imperfection. The difference between the two cases should be clearly noted in discussing the validity of obtaining optimal solutions under constraints on nonlinear buckling loads. 4. A snapthrough behavior can be effectively utilized for obtaining a flexible optimal design that cannot be achieved by a geometrically linear structure. A bistable structure can be effectively generated by optimization. There is no globally convergent optimization algorithm for large structural systems if geometrical nonlinearity is considered. Since nonlinear path-following analysis itself is computationally costly, heuristic or trial-and-error approach that requires equilibrium analysis many times before reaching the optimal solution should be avoided. Understanding the cause of discontinuity and divergence will be the first step toward a globally convergent algorithm.

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