Barna Szabó - Finite Element Analysis

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Finite Element Analysis: краткое содержание, описание и аннотация

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Finite Element Analysis <p><b>An updated and comprehensive review of the theoretical foundation of the finite element method</b> <p>The revised and updated second edition of <i>Finite Element Analysis: Method, Verification, and Validation</i> offers a comprehensive review of the theoretical foundations of the finite element method and highlights the fundamentals of solution verification, validation, and uncertainty quantification. Written by noted experts on the topic, the book covers the theoretical fundamentals as well as the algorithmic structure of the finite element method. The text contains numerous examples and helpful exercises that clearly illustrate the techniques and procedures needed for accurate estimation of the quantities of interest. In addition, the authors describe the technical requirements for the formulation and application of design rules. <p>Designed as an accessible resource, the book has a companion website that contains a solutions manual, PowerPoint slides for instructors, and a link to finite element software. This important text: <ul><li>Offers a comprehensive review of the theoretical foundations of the finite element method</li> <li>Puts the focus on the fundamentals of solution verification, validation, and uncertainty quantification</li> <li>Presents the techniques and procedures of quality assurance in numerical solutions of mathematical problems</li> <li>Contains numerous examples and exercises</li></ul> <p>Written for students in mechanical and civil engineering, analysts seeking professional certification, and applied mathematicians, <i>Finite Element Analysis: Method, Verification, and Validation, Second Edition</i> includes the tools, concepts, techniques, and procedures that help with an understanding of finite element analysis.

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Using five elements of equal length on the interval and assigned to each e - фото 458

Using five elements of equal length on the interval картинка 459and картинка 460assigned to each element, find the finite element solution for this problem.

Referring to equations (1.66)and (1.70), the element‐level coefficient matrix for each element is

where we used - фото 461

where we used картинка 462, The assembled unconstrained coefficient matrix is Upon enforcemen - фото 463, The assembled unconstrained coefficient matrix is Upon enforcement of the - фото 464. The assembled unconstrained coefficient matrix is:

Upon enforcement of the Dirichlet conditions the system of equations is - фото 465

Upon enforcement of the Dirichlet conditions the system of equations is

alternatively where the first and sixth equations are placeholders for the - фото 466

alternatively:

where the first and sixth equations are placeholders for the boundary - фото 467

where the first and sixth equations are placeholders for the boundary conditions The solution is Exercise 114Solve the problem i - фото 468, The solution is Exercise 114Solve the problem in Example 17with the - фото 469. The solution is:

Exercise 114Solve the problem in Example 17with the boundary conditions - фото 470

Exercise 1.14Solve the problem in Example 1.7with the boundary conditions Finite Element Analysis - изображение 471, Finite Element Analysis - изображение 472.

Exercise 1.15Solve the problem in Example 1.7with the boundary conditions Finite Element Analysis - изображение 473, картинка 474.

1.4 Post‐solution operations

Following assembly of the coefficient matrix and enforcement of the essential boundary conditions (when applicable) the resulting system of simultaneous equations is solved by one of several methods designed to exploit the symmetry and sparsity of the coefficient matrix. The solvers are classified into two broad categories; direct and iterative solvers. Optimal choice of a solver in a particular application is based on consideration of the size of the problem and the available computational resources.

At the end of the solution process the finite element solution is available in the form

(1.81) where the indices reference the global numbering and Nu is the number of - фото 475

where the indices reference the global numbering and Nu is the number of degrees of freedom plus the number of Dirichlet conditions.

The basis functions are decomposed into their constituent shape functions and the element‐level solution records are created in the local numbering convention. Therefore the finite element solution on the k th element is available in the following form:

(1.82) 141 Computation of the quantities of interest The computation of typical - фото 476

1.4.1 Computation of the quantities of interest

The computation of typical engineering quantities of interest (QoI) by direct and indirect methods is outlined in this section.

Computation of uFE ( x 0)

Direct computation of картинка 477in the point картинка 478involves a search to identify the element Ik in which point x 0lies and, using the inverse of the mapping function defined by eq. (1.60), the standard coordinate corresponding to x 0is determined 183 and is compu - фото 479corresponding to x 0is determined:

(1.83) and is computed from 184 Dir - фото 480

and is computed from 184 Direct computation of - фото 481is computed from

(1.84) Direct computation of Direct computation of - фото 482

Direct computation of картинка 483

Direct computation of картинка 484in the point x 0involves the computation of the corresponding standard coordinate using eq 183and evaluating the following expression 185 where - фото 485using eq. (1.83)and evaluating the following expression:

(1.85) Finite Element Analysis - изображение 486

where Finite Element Analysis - изображение 487. The computation of the higher derivatives is analogous.

Remark 1.8When plotting quantities of interest such as the functions картинка 488and картинка 489, the data for the plotting routine are generated by subdividing the standard element into n intervals of equal length, n being the desired resolution. The QoIs corresponding to the grid‐points are evaluated. This process does not involve inverse mapping. In node points information is provided from the two elements that share that node. If the computed QoI is discontinuous then the discontinuity will be visible at the nodes unless the plotting algorithm automatically averages the QoIs.

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