The.Hottest

Sunday, October 15, 2023 , , ,
Jai B. Kim, Robert H. Kim, Jonathan Eberle ... 358 pages - Publisher: CRC Press; (April, 2013) ... Language: English - ISBN-10: 1466566515 - ISBN-13: 978-1466566514.

Developed to comply with the fifth edition of the AASHTO LFRD Bridge Design Specifications [2010]––Simplified LRFD Bridge Design is "How To" use the Specifications book. Most engineering books utilize traditional deductive practices, beginning with in-depth theories and progressing to the application of theories. The inductive method in the book uses alternative approaches, literally teaching backwards. The book introduces topics by presenting specific design examples. Theories can be understood by students because they appear in the text only after specific design examples are presented, establishing the need to know theories. The emphasis of the book is on step-by-step design procedures of highway bridges by the LRFD method, and "How to Use" the AASHTO Specifications to solve design problems. Some of the design examples and practice problems covered include: Load combinations and load factors * Strength limit states for superstructure design * Design Live Load HL- 93 * Un-factored and Factored Design Loads * Fatigue Limit State and fatigue life; Service Limit State * Number of design lanes * Multiple presence factor of live load * Dynamic load allowance * Distribution of Live Loads per Lane * Wind Loads, Earthquake Loads * Plastic moment capacity of composite steel-concrete beam * LRFR Load Rating. Simplified LRFD Bridge Design is a study guide for engineers preparing for the PE examination as well as a classroom text for civil engineering students and a reference for practicing engineers. Eight design examples and three practice problems describe and introduce the use of articles, tables, and figures from the AASHTO LFRD Bridge Design Specifications. Whenever articles, tables, and figures in examples appear throughout the text, AASHTO LRFD specification numbers are also cited, so that users can cross-reference the material.
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Sunday, October 15, 2023 , ,
Tim Huff ... 372 pages - Language ‏ : ‎ English - Publisher ‏ : ‎ CRC Press; (February, 2022) - ISBN-10: ‎1032208368 - ISBN-13: ‎978-1032208367

This book examines and explains material from the 9th edition of the AASHTO LRFD Bridge Design Specifications, including deck and parapet design, load calculations, limit states and load combinations, concrete and steel I-girder design, bearing design, and more. With increased focus on earthquake resiliency, two separate chapters– one on conventional seismic design and the other on seismic isolation applied to bridges– will fully address this vital topic. The primary focus is on steel and concrete I-girder bridges, with regard to both superstructure and substructure design.

Features: Includes several worked examples for a project bridge as well as actual bridges designed by the author + Examines seismic design concepts and design details for bridges + Presents the latest material based on the 9th edition of the LRFD Bridge Design Specifications + Covers fatigue, strength, service, and extreme event limit states + Includes numerous solved problems and exercises at the end of each chapter to illustrate the concepts presented.

LRFD Bridge Design: Fundamentals and Applications will serve as a useful text for graduate and upper-level undergraduate civil engineering students as well as practicing structural engineers.
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Saturday, October 07, 2023 , ,
Narendra Taly ... 963 pages - Language: ‎English - Publisher: ‎ CRC Press; (November, 2014).

Highway Bridge Superstructure Engineering: LRFD Approaches to Design and Analysis provides a detailed discussion of traditional structural design perspectives, and serves as a state-of-the-art resource on the latest design and analysis of highway bridge superstructures. This book is applicable to highway bridges of all construction and material types, and is based on the load and resistance factor design (LRFD) philosophy. It discusses the theory of probability (with an explanation leading to the calibration process and reliability), and includes fully solved design examples of steel, reinforced and prestressed concrete bridge superstructures. It also contains step-by-step calculations for determining the distribution factors for several different types of bridge superstructures (which form the basis of load and resistance design specifications) and can be found in the AASHTO LRFD Bridge Design Specifications.

Fully Realize the Basis and Significance of LRFD Specifications- Divided into six chapters, this instructive text: Introduces bridge engineering as a discipline of structural design + Describes numerous types of highway bridge superstructures systems + Presents a detailed discussion of various types of loads that act on bridge superstructures and substructures + Discusses the methods of analyses of highway bridge superstructures + Includes a detailed discussion of reinforced and prestressed concrete bridges, and slab-steel girder bridges.

Highway Bridge Superstructure Engineering: LRFD Approaches to Design and Analysis can be used for teaching highway bridge design courses to undergraduate- and graduate-level classes, and as an excellent resource for practicing engineers.
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Thursday, October 05, 2023 , , ,
Mohamad H. Hussein, William M. Camp, J. Brian Anderson ... 736 pages - Publisher: American Society of Civil Engineers (ASCE); (April, 2010) ... Language: English - ISBN-10: 0784410933 - ISBN-13: 978-0784410936.

Art of Foundation Engineering Practice (GSP 198) honours Clyde N. Baker, Jr., P. E. S.E. Honorary Member of ASCE. For more than 50 years Clyde Baker has made distinguished contributions to the advancement of foundation engineering design, analysis, construction, and monitoring starting with the early Chicago high-rise buildings up to the world's current record-setting skyscrapers. It contains 38 technical papers contributed by professors, researchers practicing structural and geotechnical engineers, and contractors. This book is a valuable source of information for: historical reviews of land and offshore foundations work; fundamental and advanced foundation analytical procedures; foundation design using in situ geotechnical measurements; drilled shafts in soft and hard rock; foundations in difficult soils and geologic conditions: driven piles; foundations for static and dynamic loads; testing and long-term monitoring; and case histories. It also includes a paper by Mr. Baker based on his 2009 Terzaghi Lecture. Geotechnical engineers, structural engineers, foundation specialists, academics, researchers, geotechnologists, construction engineers, superintendents, and inspectors will find something interesting and beneficial in this book.
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Saturday, September 09, 2023 , , ,
Michael E. Plesha, Gary L. Gray, Robert J. Witt, Francesco Costanzo ... 3557 pages - Language: ‎English - Publisher: McGraw-Hill Higher Education; 3rd edition (February, 2022).

Engineering Mechanics: Statics and Dynamics is the Problem Solver's Approach for Tomorrow's Engineers. Based upon a great deal of classroom teaching experience authors Plesha Gray andamp; Costanzo provide a rigorous introduction to the fundamental principles of statics and dynamics in a visually appealing framework for students.This title is available in Connect with SmartBook featuring Application-Based Activities the Free Body Diagram Tool and Process Oriented Problems. Instructor resources for this title include: an Image Library Lecture PPTs and an Instructor Solutions Manual.
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Saturday, September 02, 2023 , , , ,
Teacher: Nastaran Reza Nazar Zadeh - Language: English - Videos: 50 - Duration: 4 hours and 11 minutes.

Artificial Neural Network and Machine Learning using MATLAB This course is uniquely designed to be suitable for both experienced developers seeking to make that jump to Machine learning or complete beginners who don’t understand machine learning and Artificial Neural Network from the ground up. In this course, we introduce a comprehensive training of multilayer perceptron neural networks or MLP in MATLAB, in which, in addition to reviewing the theories related to MLP neural networks, the practical implementation of this type of network in MATLAB environment is also fully covered. MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN. At the end of this course, you’ll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.

What you’ll learn: Develop a multilayer perceptron neural networks or MLP in MATLAB using Toolbox + Apply Artificial Neural Networks in practiceBuilding Artificial Neural Network Model + Knowledge on Fundamentals of Machine Learning and Artificial Neural Network + Understand Optimization methods + Understand the Mathematical Model of a Neural Network + Understand Function approximation methodology + Make powerful analysis + Knowledge on Performance Functions + Knowledge on Training Methods for Machine Learning.
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Friday, August 25, 2023 , ,
Teachers: Dr. H. T. Jadhav, Mayank Dadge - Language: English - Videos: 26 - Duration: 3 hours and 16 minutes.

This course is specifically developed for B. Tech. and M. Tech/MS students of all Engineering disciplines. Especially the students of Mechanical, Electrical, Automobile, Chemical, Aeronautical, Electronics, Computer science, Instrumentation, Mechatronics, Manufacturing, Robotics and Civil Engineering can learn MATLAB basics and solve Engineering Optimization problems in their area as part of mini-project or capstone project. In addition to this, the course is also useful to Ph. D. students of different engineering branches.

The course is designed in such a way that the student who is not well versed with MATLAB programing can learn the basics of MATLAB in the first part so that it is easy for him/her to understand MATLAB implementation of Artificial bee colony Algorithm to solve simple and advanced Engineering problems. The content is so organized that the learner should be able to understand Engineering optimization from scratch and solve research problems leading to publication in an international journal of high repute. It should be useful to students of all universities around the world.

What you’ll learn: Write MATLAB program to solve Engineering problems + Understand Artificial bee colony Optimization Algorithm (ABC) + Implement ABC Algorithm to solve benchmark problems + Implement ABC Algorithm to solve Mechanical Engineering problems + Design and develop MATLAB program using ABC Algorithm for Mechanical Engineering Optimization problem + Work on research problem leading to publication in international journals of high repute.

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Saturday, August 12, 2023 , ,
Language: English - Level: Beginner - Number of Lessons: 78 - Duration: 5 hours and 26 minutes.

Statistics for Business Analytics: Data Analysis with Excel is a training course on the importance of statistics in business and business data analysis in Excel software, published by Udemy Academy. Statistical modeling is a very important skill for data analysts, and in this training course you will practice this skill with Excel software. Today, data has included all parts of our lives, and the success of business and various decisions in various industries depends on access to appropriate data and their correct analysis. The world is moving day by day towards a purely data-centric direction, and in this direction, many job positions have been created for data engineers and analysts.

This course is completely comprehensive and includes all the details of statistical modeling and business analysis. What you will learn?: Data Analysis with Excel:Basic principles and basics of statistics and their application in the world of business and various industries + Carrying out data analysis and analysis projects in the powerful Excel software environment + Various statistical methods and their exploitation to solve business problems and finalize data-driven decisions + Statistical assumption test with Excel software + Data-driven decision making and its principles + Business data analysis with descriptive statistics and statistical inference in Excel software + Construction and interpretation of various statistical models based on business data + Implementation of statistical analysis or regression analysis in Excel software to predict the future + Different techniques for analyzing huge and large data sets + Evaluation of different scenarios using available data ...
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Sunday, August 06, 2023 , , ,
Language: English - Education Time: 7 hours and 28 minutes - Level: Elementary, Secondary - Size: 2.72 GB.

Data analysis is one of the leading jobs in the current technology market. As per the forecasts of Glassdoor and World Economic Forum, the demand for data scientists will also increase in the next few years. We are generating huge data every day from different domains like Social Media, Healthcare, Sensor data… we have a great tool to analyze them and the tool is R. R programming is a powerful language used widely for data analysis and statistical computing. It is completely free and has rich repositories for packages.

In this course first, you will learn how to install R and start programming on it. It will also help you to know the programming structures and functions. This R programming in Data Science and Data Analytics covers all the steps of Exploratory data analysis, Data pre-processing, and Modelling process. In EDA sections you will learn how to import data sets and create data frames from it. Then it will help you to visualize the variables using different plots. It will give you an initial structure of your data points. In Data pre-processing sections you will get the full idea of Missing value & outliers treatment and data split methods. Finally, you will be able to generate machine learning models using Linear and Logistic Regression.

This R programming for data science and data analytics is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!
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