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Beschreibung
- 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.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | Mai 2023 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 743 Gramm |
| Format | Softcover |
| ISBN-13 | 9783030978600 |
| Auflage | 1st ed. 2022 |
| Seiten | 421 |