MECHANICS OF MATERIALS: A FRIENDLY APPROACH
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The knowledge of mechanics of materials is the very foundation for advanced topics in mechanical, civil, aerospace, chemical, ceramic engineering and materials science.
This comprehensive book presents materials with a three-dimensional approach rather than two-dimensional analysis adopted by existing books. It develops the required background thoroughly before basic elements such as stress and strain tensors are formulated. The presentation is richly filled with anecdotes, illustrations and solved examples. Special care has been taken to carry out algebra and the derivations in small digestible steps.
This useful reference text largely meets the requirements of computer-aided engineering (CAE) softwares which are widely used in industrial-sector and research & development laboratories to design structural members.
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Press Release — A Friendly Approach to the Mechanics of Materials
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Sample Chapter(s)
Preface
Chapter 1: Getting into a New Ball Game
Contents:
Getting into a New Ball Game
Forces, Moments, and Equilibrium
Reactions and Free Body Diagrams
Internal Forces in Slender Members
Stress Tensor
Transformation of Stress Components
Deformation and Strain Tensor
Material Behavior: Stress–Strain Relations
Axial Members: Stresses, Thermal Strains, and Compatibility
Bending Moments and Shear Forces
Deflection due to Bending
Torsion
Combined Stresses and Yield Criteria
Energy Methods
Historical Perspective
Readership: Researchers, professionals, academics, undergraduate and graduate students in mechanical engineering, civil engineering, aerospace engineering, materials science and chemical engineering.
原價:
4485
售價:
4261
現省:
224元
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Data Analysis for Social Science: A Friendly and Practical Introduction (1版)
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【簡介】
An ideal textbook for an introductory course on quantitative methods for social scientists
Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations. This one-of-a-kind textbook includes supplemental materials to accommodate students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose.
A more accessible version of Kosuke Imai's Quantitative Social Science
Analyzes real-world data using the powerful, open-sourced statistical program R, which is free for everyone to use
Teaches how to measure, predict, and explain quantities of interest based on data
Shows how to infer population characteristics using survey research, predict outcomes using linear models, and estimate causal effects with and without randomized experiments
Assumes no prior knowledge of statistics or coding
Specifically designed to accommodate students with a variety of math backgrounds
Provides cheatsheets of statistical concepts and R code
【目錄】
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