دانلود مقاله ISI انگلیسی شماره 25178
عنوان فارسی مقاله

تجزیه و تحلیل تجزیه پایینی با استفاده از روش گالرکین عنصر آزاد و برنامه ریزی غیرخطی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
25178 2008 11 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
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عنوان انگلیسی
Lower bound shakedown analysis by using the element free Galerkin method and non-linear programming
منبع

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

Journal : Computer Methods in Applied Mechanics and Engineering, Volume 197, Issues 45–48, 15 August 2008, Pages 3911–3921

کلمات کلیدی
روش - استرس خود تعادلی - برنامه ریزی غیر خطی -
پیش نمایش مقاله
پیش نمایش مقاله تجزیه و تحلیل تجزیه پایینی با استفاده از روش گالرکین عنصر آزاد و برنامه ریزی غیرخطی

چکیده انگلیسی

Shakedown analysis is a powerful tool for assessing the safety of structures under variable repeated loads. By using the element free Galerkin (EFG) method and non-linear programming, a novel numerical solution procedure is developed to perform lower bound shakedown analysis of structures made up of elasto-perfectly plastic material. The numerical implementation is very simple and convenient because it is only necessary to construct an array of nodes in the domain under consideration. The reduced-basis technique is adopted here to solve the mathematical programming iteratively in a sequence of reduced self-equilibrium stress subspaces with very low dimensions. The self-equilibrium stress field is expressed by linear combination of several self-equilibrium stress basis vectors with parameters to be determined. These self-equilibrium stress basis vectors are generated by performing an equilibrium iteration procedure during elasto-plastic incremental analysis. The Complex method is used to solve the non-linear programming and determine the lower bound of shakedown load. The proposed numerical method is verified by using several numerical examples and the results show good agreement with other available solutions.

مقدمه انگلیسی

The design of engineering structures subjected to variable repeated loads demands a realistic assessment of the safety margin with respect to failure. A particular kind of failure in the case of variable repeated loads is caused by an unlimited accumulation of plastic strains during the loading process, leading to either incremental collapse (characterized by unbounded deformation growth for each cycle of loading) or alternating plasticity (eventually leading to fractures by a low cycle fatigue type phenomenon). If, on the contrary, after some time plastic strains cease to develop further and the structure responds purely elastically to the applied variable loads, the structure is said to shake down. The shakedown of a structure indicates that the damage stops evolving after a finite number of loading cycles. This is due to the fact that a stationary self-equilibrium stress field is formed and the total dissipated energy becomes stationary. Therefore, the prediction of shakedown or collapse of structures under variable repeated loads is very important and useful for structural design and safety assessment, and has attracted the attention of many researchers [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24] and [25]. Some designers hope to solve such problems by the elasto-plastic incremental analysis. However, it necessitates greater calculation efforts and requires detailed loading histories, which often are unavailable or uncertain in engineering situations. Shakedown analysis, a generalization of limit analysis, is a useful alternative to step-by-step method, particularly when only the upper and lower limits of the loading histories are known. The primary merit of shakedown analysis is that it enables the computation of the shakedown load against failure without resorting to the time-stepping evolutive solutions. But on the other hand, shakedown analysis is faced with great difficulty in numerical computation. With solution procedures, it is mostly centered on mathematical programming [3] and [4]. This mathematical programming has excessive independent variables and constraint conditions after discretization, in general is a large scale non-linear programming, and hence is usually very difficult to be solved (i.e. the obstacle of high dimension). At present many scholars have made great efforts to develop efficient computational methods for shakedown analysis. For example, Casciaro and Garcea [21] proposed an incremental iterative method for defining shakedown boundaries of frame structures. This method is based on a path-following iterative scheme similar to that used in limit analysis. Garcea et al. [15] extended this incremental iterative method to the shakedown analysis of two-dimensional flat structures in both the cases of plane stress and plane strain. Ngo and Tin-Loi [22] proposed the p-adaptive finite element method (FEM) as a robust and accurate approach to perform shakedown analyses of two-dimensional plane strain problems. This method shows great promise because it can overcome incompressibility locking and does not need extensive meshing. Moreover, incorporation of adaptive scheme at both elastic analysis and yield surface linearization levels is particularly computationally attractive in increasing performance of the p-adaptive FEM for shakedown analysis. Some other efficient numerical methods for shakedown analysis have also been reported, such as those by Boulbibane and Ponter [17], Makrodimopoulos [18], Krabbenhøft [19], and so on. Here we concentrate on the reduced-basis technique [1], [2], [3] and [4], which enables us to evaluate efficiently the shakedown load directly from the static shakedown theorem. Up to now, most numerical methods for shakedown analysis are by means of the mesh-based methods such as finite element method and boundary element method. As an important alternative approach to eliminate the well known drawbacks in the mesh-based methods, meshless method has received much attention in recent years, due to their flexibility, and, most importantly, due to their potential in negating the need for the human-labor intensive process of constructing geometric meshes. Some representative examples are the element free Galerkin (EFG) method [26] and [27], the meshless local Petrov–Galerkin (MLPG) method [28] and [29], the reproducing kernel particle method (RKPM) [30], the smooth particle hydrodynamics (SPH) [31] and so on. The EFG method adopted here is a Galerkin discretization technique with the help of shape functions constructed using the moving least squares (MLS) approximation. To use the MLS approximation, it is only necessary to construct an array of nodes in the domain under consideration. Because no element connectivities are needed, the numerical procedure of the EFG method is quite simple. The EFG method also requires no post-processing for the output of strains and stresses or other field variables which are derivatives of the primary-dependent variables since these quantities are already very smooth. Meanwhile, the EFG method can avoid volumetric locking for nearly incompressible materials [26] and [27]. Furthermore, the computational results from the EFG method are of higher accuracy [26] and [27]. Consequently, the EFG method is particularly suitable for lower bound shakedown analysis due to the fact that it can accurately compute the fictitious elastic stress field and the self-equilibrium stress field without resorting to meshes or elements. The above advantages are so attractive that applying the EFG method to numerical shakedown analysis is of great interest and deserves study. In this paper, our attention is focused on the EFG solution procedure for lower bound shakedown analysis. The considered structure is made up of isotropic, elasto-perfectly plastic material governed by von Mises’ yield condition and Drucker’s postulate. Based on the static shakedown theorem, shakedown analysis is transformed into a problem of mathematical programming whose optimization variables are the self-equilibrium stress field and the shakedown load factor. The domain discretization is based on the EFG method, where the MLS approximation is utilized to construct trial functions and the penalty method is used to impose the essential boundary conditions. The reduced-basis technique is adopted to express the self-equilibrium stress field by linear combination of several self-equilibrium stress basis vectors with parameters to be determined. These self-equilibrium stress basis vectors are generated by performing an equilibrium iteration procedure of elasto-plastic incremental analysis. The resulting optimization formulation for shakedown analysis is reduced to a non-linear programming with the inequality constraints of yield conditions at every Gaussian point for all corners of the load domain. Its solution can be obtained effectively by the complex method. Implementation details and numerical examples are presented to demonstrate the effectiveness of the developed method.

نتیجه گیری انگلیسی

Shakedown analysis is a very important subdiscipline of plasticity and can provide a powerful tool for engineering design and safety assessment of structures. On the other hand, in recent years, meshless methods have become interesting and promising methods in solving partial differential equations due to their advantages in some practical applications [26], [27], [28], [29], [30], [31], [32], [33] and [34]. Consequently, numerical shakedown analysis by using meshless methods is of great importance. In this paper, a novel numerical solution procedure for shakedown analysis based on the EFG method and non-linear programming is developed. The reduced-basis technique is employed to solve the resulting optimization problem efficiently in a sequence of reduced subspaces. The self-equilibrium stress basis vectors are generated by performing an equilibrium iteration procedure during elasto-plastic incremental analysis. The Complex method is used to solve the non-linear programming directly and the computational errors caused by the linearization of yield surface are avoided. Numerical examples are given to demonstrate the effectiveness and accuracy of the present method. The following conclusions can be drawn from the present study: (1) The EFG method turns out to be an effective alternative to the mesh-based computational methods for shakedown analysis. This method exhibits some advantages such as increasing accuracy and rate of convergence, avoiding volumetric locking in nearly incompressible problems, requiring no post-processing to obtain a smooth gradient field, and giving more accurate results near the boundaries. Therefore, it is reasonable and feasible to employ the EFG method to obtain the fictitious elastic stress field and the self-equilibrium stress basis vectors for lower bound shakedown analysis. (2) The reduced-basis technique enables us to solve efficiently the problem of lower bound shakedown analysis. This method is very beneficial because it can reduce the number of optimization variables and constraints significantly. The obstacle of high dimension has been overcome and therefore numerical shakedown analysis under variable repeated loads can more readily be used in practice. (3) The Complex method represents a cost-effective, numerically stable and reliable tool for the non-linear programming problem of shakedown analysis. The numerical results of the solution procedure adopted herein appear to be satisfactory and rather insensitive to the choice of the initial Complex configurations and load increments used to create self-equilibrium stress basis vectors. (4) Although the applications are focused here on plane structures, the present static formulation is general and can be implemented with more complicated structures and loadings. In particular, the present method can be readily applied to plate, shell and 3-D structures, where the great advantages of meshless methods will be very significant. The loading domains can be considered to include more complex loads such as combinations of variable repeated thermal and mechanical external actions, also in the presence of dead loads. The research work in these aspects is in progress.

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