Geo.Engineerings

K. Shanker, M. Pradeep Kumar ... 275 pages - Language: ‎English - Publisher: Shashawat; (June, 2022).

Engineering Mechanics, one of the oldest branches of physical science, is a subject of enormous importance. Although it is taught in the first year of engineering, its foundation is rooted in the two other fundamental subjects i.e., applied mathematics and physics. Basically, Engineering Mechanics is a subject that deals with the action of forces. It is broadly classified under Statics and Dynamics. Statics deals with the action of forces on the rigid bodies at rest whereas dynamics deals with motion characteristics of the bodies when subjected to force. The primary purpose of writing this book is to build basic concepts of engineering mechanics along with strong analytical and problem-solving abilities that would enhance the thinking capability of students. Problems are solved systematically with clear procedure that makes the students feel better in understanding the solution.

William Navidi ... 960 pages - Language: English - Publisher: McGraw Hill; 6th edition (January, 2023) - ISBN-10: ‎1265875855 - ISBN-13: ‎978-1265875855.

Statistics for Engineers and Scientists stands out for its clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

Won‐Kee Hong ... 564 pages - Language:‎ English - Publisher: ‎CRC Press; (January, 2023).

Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets.