A termék adatai:

ISBN13:9781032417066
ISBN10:1032417064
Kötéstípus:Keménykötés
Terjedelem:372 oldal
Méret:254x178 mm
Súly:850 g
Nyelv:angol
Illusztrációk: 244 Illustrations, black & white; 33 Halftones, black & white; 211 Line drawings, black & white; 24 Tables, black & white
699
Témakör:

Deformation and Fracture in Materials

Advances in Experimental and Numerical Studies
 
Kiadás sorszáma: 1
Kiadó: CRC Press
Megjelenés dátuma:
 
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Kiadói listaár:
GBP 130.00
Becsült forint ár:
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56 511 (53 820 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 6 279 Ft)
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  példányt

 
Rövid leírás:

It provides basics of deformation and fracture in materials and the current state-of-the-art on experimental and numerical/theoretical methods including data driven approach in deformation and fracture study of materials. It is aimed at researchers and graduate students in fracture mechanics, finite element methods, and materials science.

Hosszú leírás:

This book provides information on the basics of deformation and fracture in materials and on current, state-of-the-art experimental and numerical/theoretical methods, including data-driven approaches in the deformation and fracture study of materials. The blend of experimental test methods and numerical techniques to study deformation and fracture in materials is discussed. In addition, the application of data-driven approaches in predicting material performance in different types of loading and loading environments is illustrated.


Features:



  • Includes clear insights on deformation and fracture in materials, with clear explanations of mechanics and defects relating to them

  • Provides effective treatments of modern numerical simulation methods

  • Explores applications of data-driven approaches such as artificial intelligence, machine learning, and computer vision

  • Reviews simple and basic experimental techniques to understand the concepts of deformation and fracture in materials

  • Details modeling and simulation strategies of mechanics of materials at different scales

This book is aimed at researchers and graduate students in fracture mechanics, finite element methods, and materials science.

Tartalomjegyzék:

PART 1 Mechanics and Physics of Deformation and Fracture in Materials Chapter 1 Theoretical Approaches in Deformation and Fracture of Materials Chapter 2 The Physics of Deformation Behavior in Nanoindentation Studies of Materials Chapter 3 Applications of Machine Learning Techniques to Predict Behaviour of Materials PART 2 Experimental Methods to Study Mechanics and Physics of Deformation and Fracture in Materials Chapter 4 Deformation and Fracture of Metals: Experimental Methods and Challenges Chapter 5 Deformation and Fracture of Ceramic Materials: Experimental Methods and Challenges Chapter 6 Deformation and Fracture of Polymeric Materials: Experimental Methods and Challenges Chapter 7 Deformation and Fracture of Composite Materials: Experimental Methods and Challenges PART 3 Recent Advances in Modeling of Deformation and Fracture in Materials Chapter 8 Path-Independent Integrals and Their Applications in Fracture and Defect Mechanics Chapter 9 Modeling Crack Growth in Materials Using Finite Element Method Chapter 10 Nanoindentation Modeling of Materials Using Finite Element Method Chapter 11 FEM-Based Computational Studies on Impression Creep Behavior of Boron-Added P91 Steel Chapter 12 Channelling Deformation-Induced Electric Field Property of Polymer Hybrid Nanocomposite for Energy Harvesting Chapter 13 Atomistic Modelling and Molecular Dynamics Simulation for Elastic Deformation in Nanocomposites Chapter 14 Stress?Strain Response of Graphene-Reinforced Aluminium Composite: A Molecular Dynamics Study PART 4 Progress in Experimental Approaches Chapter 15 Physics of Deformation Behaviour in Nickel-Based Super Alloys Chapter 16 Nanoindentation Studies on Physics of Deformation at Microstructural Length Scale of Metals Chapter 17 Experimental Techniques to Study Physics of Deformation behavior in Glass at Microstructural Length Scale PART 5 Future Research Directions Chapter 18 Future Directions: Applications of Artificial Intelligence in Material Deformation and Fracture