The.Hottest

Zhenhai Guo ... 606 pages - Publisher: Butterworth-Heinemann; (August, 2014) ... Language: English - ISBN-10: 0128008598 - ISBN-13: 978-0128008591 ...

Principle of Reinforced Concrete introduces the main properties of structural concrete and its mechanical behavior under various conditions as well as all aspects of the combined function of reinforcement and concrete. Based on the experimental investigation, the variation regularity of mechanical behavior, working mechanism, and calculation method are presented for the structural member under various internal forces. After examining the basic principle and analysis method of reinforced concrete, the book covers some extreme circumstances, including fatigue load, earthquake, explosion, high temperature (fire accident), and durability damage, and the special responses and analysis methods of its member under these conditions. This work is valuable as a textbook for post-graduates, and can be used as a reference for university teachers and under-graduates in the structural engineering field. It is also useful for structural engineers engaged in scientific research, design, or construction. + Focuses on the principles of reinforced concrete, providing professional and academic readers with a single volume reference. + Experimental data enables readers to make full use of the theory presented. + The mechanical behavior of both concrete and reinforcement materials, plus the combined function of both are covered, enabling readers to understand the behaviors of reinforced concrete structures and their members. + Covers behavior of the materials and members under normal and extreme conditions.

Rajib B. Mallick, Tahar El-Korchi ... 694 pages - Publisher: CRC Press; 2nd edition (March, 2013) ... Language: English - ISBN-10: 1439870357 - ISBN-13: 978-1439870358 ...

Pavements are engineered structures essential to transportation, commerce and trade, and everyday life. In order for them to perform as expected, they must be designed, constructed, maintained, and managed properly. Providing a comprehensive overview of the subject, Pavement Engineering: Principles and Practice, Second Edition covers a wide range of topics in asphalt and concrete pavements, from soil preparation to structural design and construction. This new edition includes updates in all chapters and two new chapters on emerging topics that are becoming universally important: engineering of sustainable pavements and environmental mitigation in transportation projects. It also contains new examples and new figures with more informative schematics as well as helpful photographs. The text describes the significance of standards and examines traffic, drainage, concrete mixes, asphalt binders, distress and performance in concrete and asphalt pavements, and pavement maintenance and rehabilitation. It also contains a chapter on airport pavements and discusses nondestructive tests for pavement engineering using nuclear, deflection-based, electromagnetic, and seismic equipment. The authors explore key concepts and techniques for economic analysis and computing life-cycle cost, instrumentation for acquiring test data, and specialty applications of asphalt and concrete. The Second Edition includes more relevant issues and recently developed techniques and guidelines for practical problems, such as selection of pavement type, effect of vehicle tires, and use of smart sensors in rollers and software for drainage analysis. This book presents in-depth, state-of-the-art knowledge in a range of relevant topics in pavement engineering, with numerous examples and figures and comprehensive references to online resources for literature and software. It provides a good understanding of construction practices essential for new engineers and materials processing and construction needed for solving numerous problems.

Samuel E. French ... 374 pages - Publisher: American Society of Civil Engineers; (March, 1999) ... Language: English - ISBN-10: 0784403716 - ISBN-13: 978-0784403716 ...

This work details a complete "how to" procedure for the design of shallow foundations commonly used with low-rise structures of today's building codes. It presents a detailed presentation of both soils and structures, specifically as they relate to shallow foundations, emphasizing soil-structure interaction by matching particular structural designs to particular soil conditions. These established and proven methods apply to industries of architecture, construction, engineering technology, as well as civil engineering, and are intended for use by both students and practitioners.

James F. Epperson ... 614 pages - Publisher: Wiley; 2nd edition (October, 2013) ... Language: English - ISBN-10: 1118367596 - ISBN-13: 978-1118367599 ...

The Second Edition of the highly regarded An Introduction to Numerical Methods and Analysis provides a fully revised guide to numerical approximation. The book continues to be accessible and expertly guides readers through the many available techniques of numerical methods and analysis. An Introduction to Numerical Methods and Analysis, Second Edition reflects the latest trends in the field, includes new material and revised exercises, and offers a unique emphasis on applications. The author clearly explains how to both construct and evaluate approximations for accuracy and performance, which are key skills in a variety of fields. A wide range of higher-level methods and solutions, including new topics such as the roots of polynomials, spectral collocation, finite element ideas, and Clenshaw-Curtis quadrature, are presented from an introductory perspective, and the Second Edition also features: Chapters and sections that begin with basic, elementary material followed by gradual coverage of more advanced material + Exercises ranging from simple hand computations to challenging derivations and minor proofs to programming exercises + Widespread exposure and utilization of MATLAB  + An appendix that contains proofs of various theorems and other material. The book is an ideal textbook for students in advanced undergraduate mathematics and engineering courses who are interested in gaining an understanding of numerical methods and numerical analysis.

Michael R. Lindeburg, Majid Baradar ... 250 pages - Publisher: Professional Publications; 8th edition (January, 2001) ... Language: English - ISBN-10: 1888577525 - ISBN-13: 978-1888577525.

Seismic Design of Building Structures provides essential background instruction for the seismic problems on the civil PE exam. Using relevant codes, this book presents topics from basic seismic concepts through detailing requirements. The 30 sample problems and 113 practice problems, all with step-by-step solutions, offer valuable preparation for the exam. The eighth edition references the 1997 Uniform Building Code, the version of the code currently tested on the exam. Exam subjects covered include: Analysis of diaphragms * Detailing of roof-wall connections * Calculating chord and strut forces * UBC nailing requirements.

National Research University Higher School of Economics [Size: 1.26 GB] ... The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image. The prerequisites for this course are: 1) Basic knowledge of Python. 2) Basic linear algebra and probability. Please note that this is an advanced course and we assume basic knowledge of machine learning. You should understand: 1) Linear regression: mean squared error, analytical solution. 2) Logistic regression: model, cross-entropy loss, class probability estimation. 3) Gradient descent for linear models. Derivatives of MSE and cross-entropy loss functions. 4) The problem of overfitting. 5) Regularization for linear models. Who is this class for: Developers, analysts and researchers who are faced with tasks involving complex structure understanding such as image, sound and text analysis.

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