Engineering Analysis: Advanced Mathematical Methods for Engineers - Brossura

Jin, Zhihe

Brossura

ISBN 10: 0323953972 ISBN 13: 9780323953979

Casa editrice: Academic Pr, 2024

Riassunto

Engineering Analysis: Advanced Mathematical Methods for Engineers introduces graduate engineering students to the fundamental but advanced mathematics tools used in engineering application, especially in mechanical, aerospace, and civil engineering. Most engineering problems are described by differential equations, particularly partial differential equations (PDEs). Deformation and failure in solid structures, fluid flow, heat transfer, and mass diffusion are all governed by PDEs in general. Many physical quantities in engineering are tensors, including deformation gradient, strain rates, stresses, elastic stiffness, and thermal conductivity of composite materials. This book helps engineering graduate students develop the skills to establish the mathematical models of engineering problems and to solve the problems described by the mathematical models.

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Informazioni sull'autore

Zhihe Jin is a Professor in the Department of Mechanical Engineering at the University of Maine. He obtained his Ph.D. in Engineering Mechanics from Tsinghua University in 1988. His research areas include fracture mechanics, thermal stresses, poromechanics, biomechanics and thermoelectricity. His research is mainly concerned with the mathematical theories and solutions of fracture, deformation, heat conduction, porous fluid flow and thermoelectric energy conversion efficiency. He has published more than 100 refereed journal papers and 6 book chapters. He also co-authored a textbook on fracture mechanics published in 2011 (Sun & Jin, Fracture Mechanics 1e, Elsevier). He has taught 11 undergraduate and graduate courses including Mechanical Engineering Analysis at the University of Maine.

Dalla quarta di copertina

Engineering Analysis: Advanced Mathematical Methods for Engineers introduces graduate engineering students to the advanced but essential mathematical tools used in engineering application, especially in mechanical, aerospace, and civil engineering. Most engineering problems are described by differential equations, particularly partial differential equations (PDEs). Deformation and failure in solid structures, fluid flow, heat transfer, and mass diffusion are all governed by PDEs in general. Many physical quantities in engineering are tensors, including deformation gradient, strain rate, stress, elastic stiffness, and thermal conductivity of composite materials. This book helps engineering graduate students develop the skills to establish the mathematical models of engineering problems and to solve the problems described by the mathematical models.

Key Features:

• Incorporates numerous engineering examples to help students better understand mathematical concepts and methods for developing mathematical models and finding the solutions of engineering problems
• Integrates the MATLAB computation tool with many MATLAB programs to enhance students’ ability to solve engineering problems
• Includes tensor analysis to better prepare students for advanced engineering courses such as theory of elasticity, fluid dynamics, and heat transfer. Inclusion of tensor analysis also allows a unified treatment of vector and tensor calculus

About the Author
Dr. Zhihe Jin
Professor, Department of Mechanical Engineering, University of Maine, USA

Dr. Zhihe Jin is a Professor in the Department of Mechanical Engineering at the University of Maine. He obtained his Ph.D. in Engineering Mechanics from Tsinghua University in 1988. His research areas include fracture mechanics, thermal stresses, poromechanics, biomechanics and thermoelectricity. His research is mainly concerned with the mathematical theories and solutions of fracture, deformation, heat conduction, porous fluid flow and thermoelectric energy conversion efficiency.

Dettagli dell'edizione

• Editore: Academic Pr
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 0323953972
• ISBN 13: 9780323953979
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 500
• Contatto del produttore: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; U.S.A.
• Persona responsabile: non disponibile