Numerical Modeling of Materials Under Extreme Conditions, Nicola Bonora; Eric Brown
Автор: Michel Rappaz; Michel Bellet; Michel Deville; Ray Название: Numerical Modeling in Materials Science and Engineering ISBN: 3642118208 ISBN-13(EAN): 9783642118203 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the concepts and methodologies related to the modelling of complex phenomena occurring in materials processing, developing finite differences, finite volumes and finite elements through phase transformation, solid mechanics and fluid flow.
Автор: J.W. Bull Название: Numerical Analysis and Modelling of Composite Materials ISBN: 9401042667 ISBN-13(EAN): 9789401042666 Издательство: Springer Рейтинг: Цена: 32652.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Composite materials are increasingly used in many applications because they offer the engineer a range of advantages over traditional materials. Professional engineers involved in the specification and testing of composite material structures will find this book an invaluable resource in the course of their work.
Описание: This book presents the latest results related to experimental and numerical investigations of advanced materials and structures. It covers the fields of mechanical, civil and materials engineering.
Автор: Tyagi, A.K. Название: Materials Under Extreme Conditions ISBN: 0128013001 ISBN-13(EAN): 9780128013007 Издательство: Elsevier Science Рейтинг: Цена: 26949.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Materials Under Extreme Conditions: Recent Trends and Future Prospects analyzes the chemical transformation and decomposition of materials exposed to extreme conditions, such as high temperature, high pressure, hostile chemical environments, high radiation fields, high vacuum, high magnetic and electric fields, wear and abrasion related to chemical bonding, special crystallographic features, and microstructures.
The materials covered in this work encompass oxides, non-oxides, alloys and intermetallics, glasses, and carbon-based materials. The book is written for researchers in academia and industry, and technologists in chemical engineering, materials chemistry, chemistry, and condensed matter physics.
Автор: Pedro Camanho Название: Numerical Modelling of Failure in Advanced Composite Materials ISBN: 0081003323 ISBN-13(EAN): 9780081003329 Издательство: Elsevier Science Рейтинг: Цена: 38739.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: . Numerical Modelling of Failure in Advanced Composite Materials comprehensively examines the most recent analysis techniques for advanced composite materials. Advanced composite materials are becoming increasingly important for lightweight design in aerospace, wind energy, and mechanical and civil engineering. Essential for exploiting their potential is the ability to reliably predict their mechanical behaviour, particularly the onset and propagation of failure. . Part One investigates numerical modeling approaches to interlaminar failure in advanced composite materials. Part Two considers numerical modelling approaches to intralaminar failure. Part Three presents new and emerging advanced numerical algorithms for modeling and simulation of failure. . Part Four closes by examining the various engineering and scientific applications of numerical modeling for analysis of failure in advanced composite materials, such as prediction of impact damage, failure in textile composites, and fracture behavior in through-thickness reinforced laminates.
Описание: This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based optimization procedures are involved in many of the chapters, aiming at the solution of constitutive inverse problems and parameter identification. All these relevant topics are exposed by experienced international and inter institutional research teams resulting in a high level compilation. The book is a valuable research reference for scientists, senior undergraduate and graduate students, as well as for engineers acting in the area of computational material modeling.
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