A First Course in the Finite Element Method, Enhanced, SI 6/e (6版)

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A First Course in the Finite Element Method, Enhanced, SI 6/e +作者：Logan +年份：2023 年6 版 +ISBN：9780357676431 +書號：ME0438PC +規格：平裝/彩色 +頁數：992 +出版商：Cengage 目錄 1. INTRODUCTION. 2. INTRODUCTION TO THE STIFFNESS (DISPLACEMENT) METHOD. 3. DEVELOPMENT OF TRUSS EQUATIONS. 4. DEVELOPMENT OF BEAM EQUATIONS. 5. FRAME AND GRID EQUATIONS. 6. DEVELOPMENT OF THE PLANE STRESS AND STRAIN STIFFNESS EQUATIONS. 7. PRACTICAL CONSIDERATIONS IN MODELING: INTERPRETING RESULTS AND EXAMPLES OF PLANE STRESS-STRAIN ANALYSIS. 8. DEVELOPMENT OF THE LINEAR-STRAIN TRIANGLE EQUATIONS. 9. AXISYMMETRIC ELEMENTS. 10. ISOPARAMETRIC FORMULATION. 11. THREE-DIMENSIONAL STRESS ANALYSIS. 12. PLATE BENDING ELEMENT. 13. HEAT TRANSFER AND MASS TRANSPORT. 14. FLUID FLOW IN POROUS MEDIA AND THROUGH HYDRAULIC NETWORKS; AND ELECTRICAL NETWORKS AND ELECTROSTATICS. 15. THERMAL STRESS. 16. STRUCTURAL DYNAMICS AND TIME-DEPENDENT HEAT TRANSFER APPENDIX A: MATRIX ALGEBRA. APPENDIX B: METHODS FOR SOLUTION OF SIMULTANEOUS LINEAR EQUATIONS. APPENDIX C: EQUATIONS FOR ELASTICITY THEORY. APPENDIX D: EQUIVALENT NODAL FORCES. APPENDIX E: PRINCIPLE OF VIRTUAL WORK. APPENDIX F: GEOMETRIC PROPERTIES OF STRUCTURAL STEEL WIDE-FLANGE SECTIONS (W SHAPES). ANSWERS TO SELECTED PROBLEMS.

A FIRST COURSE IN THE DESIGN OF EXPERIMENTS A LINEAR MODELS APPROACH

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Most texts on experimental design fall into one of two distinct categories. There are theoretical works with few applications and minimal discussion on design, and there are methods books with limited or no discussion of the underlying theory. Furthermore, most of these tend to either treat the analysis of each design separately with little attempt to unify procedures, or they will integrate the analysis for the designs into one general technique. A First Course in the Design of Experiments: A Linear Models Approach stands apart. It presents theory and methods, emphasizes both the design selection for an experiment and the analysis of data, and integrates the analysis for the various designs with the general theory for linear models. The authors begin with a general introduction then lead students through the theoretical results, the various design models, and the analytical concepts that will enable them to analyze virtually any design. Rife with examples and exercises, the text also encourages using computers to analyze data. The authors use the SAS software package throughout the book, but also demonstrate how any regression program can be used for analysis. With its balanced presentation of theory, methods, and applications and its highly readable style, A First Course in the Design of Experiments proves ideal as a text for a beginning graduate or upper-level undergraduate course in the design and analysis of experiments.