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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Madenci, Erdogan |
Peridynamics and Its Applications Using Ansys |
I13106 |
2024 |
eBook |
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| 2 |
Madenci, Erdogan |
Advances in Peridynamics |
I12400 |
2022 |
Book |
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1.
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| Title | Peridynamics and Its Applications Using Ansys |
| Author(s) | Madenci, Erdogan;Anicode, Sundaram Vinod Kumar;Zhang, Yanan |
| Publication | Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2024. |
| Description | XIV, 495 p. 450 illus., 442 illus. in color : online resource |
| Abstract Note | This book introduces a unified implementation of bond- and state-based peridynamic theory (PD) within a commercial finite element framework, Ansys, utilizing its native elements. It details the implementation of the PD theory and its integration with traditional finite elements. The primary objective is to equip students, researchers, and practicing engineers with both theoretical and practical knowledge of the PD theory, along with the skills necessary for analyzing engineering problems using Ansys. The book demonstrates that, unlike the conventional finite element method (FEM), the PD theory is highly suitable for progressive failure analysis, the multi-scale analysis of materials involving fracture and failure, and multi-physics analysis, including electromigration, corrosion, and electrodeposition. Additionally, it provides a step-by-step illustration of the specific procedures in the pre-processing, solution, and post-processing phases of the analysis through the Graphical User Interface (GUI) for various applications. The book is designed to be introductory and self-contained, minimizing the need for additional reference material. Describes an implementation of PD theory and its coupling to finite element method in Ansys, using its native elements; Utilization of Ansys through both the Graphics User Interface (GUI) and the Ansys Parametric Design Language (APDL); Explains the process for solving problems in various applications with the Ansys GUI, includes Ansys input files |
| ISBN,Price | 9783031598968 |
| Keyword(s) | 1. Computational Physics and Simulations
2. Computer Modelling
3. COMPUTER SIMULATION
4. CONTINUUM MECHANICS
5. DIFFERENTIAL EQUATIONS
6. EBOOK
7. EBOOK - SPRINGER
8. MATHEMATICAL PHYSICS
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I13106 |
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On Shelf |
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2.
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| Title | Advances in Peridynamics |
| Author(s) | Madenci, Erdogan;Roy, Pranesh;Behera, Deepak |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
| Description | XVI, 421 p. 240 illus., 234 illus. in color : online resource |
| Abstract Note | This book presents recent improvements in peridynamic modeling of structures. It provides sufficient theory and numerical implementation helpful to both new and existing researchers in the field. The main focus of the book is on the non-ordinary state-based (NOSB) peridynamics (PD) and its applications for performing finite deformation. It presents the framework for modeling high stretch polymers, viscoelastic materials, thermoelasticity, plasticity, and creep. It provides a systematic derivation for dimensionally reduced structures such as axisymmetric structures and beams. Also, it presents a novel approach to impose boundary conditions without suffering from displacement kinks near the boundary. Furthermore, it presents refinements to bond-based PD model by including rotation kinematics for modeling isotropic and composite materials. Moreover, it presents a PD ??? FEM coupling framework in ANSYS based on principle for virtual work. Lastly, it presents an application of neural networks in the peridynamic (PINN) framework. Sample codes are provided for readers to develop hands-on experience on peridynamic modeling. Describes new developments in peridynamics and their applications in the presence of material and geometric nonlinearity; Describes an approach to seamlessly couple PD with FE; Introduces the use of the neural network in the PD framework to solve engineering problems; Provides theory and numerical examples for researchers and students to self-study and apply in their research (Codes are provided as supplementary material); Provides theoretical development and numerical examples suitable for graduate courses |
| ISBN,Price | 9783030978587 |
| Keyword(s) | 1. Applied Dynamical Systems
2. DYNAMICS
3. EBOOK
4. EBOOK - SPRINGER
5. ENGINEERING MATHEMATICS
6. ENGINEERING MECHANICS
7. MACHINE LEARNING
8. MATHEMATICAL PHYSICS
9. Mechanics, Applied
10. NONLINEAR THEORIES
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| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12400 |
|
|
On Shelf |
|
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