the Academic NEST

M. L. Gambhir ... 575 pages - Publisher: Springer; (March, 2013) ... Language: English - ASIN: B000QFAM6G by Amazon Digital Services ...

Rapid advances in analytical methods and computing enable engineers to apply stability/stiffness methods to increasingly complex real-life cases. This advanced and graduate-level text and self-tutorial teaches readers to understand and to apply analytical design principles across the breadth of the engineering sciences. Emphasizing fundamentals, the book addresses the stability of key engineering elements such as rigid-body assemblage, beam-columns, rigid frames, thin plates, arches, rings, or shells. Each chapter contains numerous worked-out problems that clarify practical application and aid comprehension of the basics of stability theory, plus end-of-chapter review exercises. Others key features are the citing and comparison of different national building standards, use of non-dimensional parameters, and many tables with much practical data and simplified formula, that enable readers to use them in the design of structural components.

GeoStru Loadcap 2018.26.2.845 [Size: 54.6 MB] ... Loadcap is software for computation of bearing capacity on loose or rocky soils, according Terzaghi, Meyerhof, Hansen, Vesic, Brinch-Hansen, Richards et. Al, Meyerhof and Hanna (1978) and computation of bearing capacity factors. Settlements: Elastic (Timoshenko and Goodier), Oedometric, Schmertmann, Burland & Burbidge, liquefaction using the method of Seed and Idriss (1971). Analysis of soil reinforced with geogrids, calculation of: increase bearing capacity, deformation in the reinforcements, tensile force in the reinforcement for membrane effect.

Cyberpunk University ... 126 pages - Publisher: CreateSpace Independent Publishing; (January, 2017) ... Language: English - ISBN-10: 1542589401 - ISBN-13: 978-1542589406 ...

What if you could automate your life to make it much easier? How about, building your own API’s, messaging bots or create an automated coffee machine to make you coffee at the right time with the perfect temperature. Sounds good? This is just a fraction of what you could do with Python and we would love to show you how in just 12 Hours! Bullsh*t you say? Here at Cyberpunk University, we believe that we have the ability to learn Python to anybody within 12 hours. We know how quite tricky it is to learn and be a master of any programming language. Our team is comprised of professionals who have been in the industry of information technology for decades and our experience made us able to create information products such as this step-by-step guide. We took out all the bullsh*t and tell you what to do, and more important, HOW TO DO IT! What will you find in this book: - How to setup the programming language of the future - How to run Hello World the RIGHTWAY - How to use all the different data types in Python - Exercises at the end of each chapter to help you master Python - How to handle errors and exceptions when writing a program - How you can test your programs.

Alfredo H-S. Ang,‎ W. H. Tang ... 420 pages - Publisher: Wiley; 2nd edition (March, 2006) ... Language: English - ISBN-10: 047172064X - ISBN-13: 978-0471720645 ...

Apply the principles of probability and statistics to realistic engineering problems: The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That's why Ang and Tang's Second Edition of Probability Concepts in Engineering (previously titled Probability Concepts in Engineering Planning and Design) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering. Now extensively revised with new illustrative problems and new and expanded topics, this Second Edition will help you develop a thorough understanding of probability and statistics and the ability to formulate and solve real-world problems in engineering. The authors present each basic principle using different examples, and give you the opportunity to enhance your understanding with practice problems. The text is ideally suited for students, as well as those wishing to learn and apply the principles and tools of statistics and probability through self-study. Key Features in this 2nd Edition: * A new chapter (Chapter 5) covers Computer-Based Numerical and Simulation Methods in Probability, to extend and expand the analytical methods to more complex engineering problems. * New and expanded coverage includes distribution of extreme values (Chapter 3), the Anderson-Darling method for goodness-of-fit test (Chapter 6), hypothesis testing (Chapter 6), the determination of confidence intervals in linear regression (Chapter 8), and Bayesian regression and correlation analyses (Chapter 9). * Many new exercise problems in each chapter help you develop a working knowledge of concepts and methods. * Provides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts. * Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as MATLAB and MATHCAD. * Introduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.