Stochastic Crack Propagation
Essential Practical Aspects
Nonfiction, Science & Nature, Science, Physics, Mechanics, Technology, Engineering, Mechanical
| Author: | Giora Maymon | ISBN: | 9780128141922 |
| Publisher: | Elsevier Science | Publication: | January 2, 2018 |
| Imprint: | Academic Press | Language: | English |
| Author: | Giora Maymon |
| ISBN: | 9780128141922 |
| Publisher: | Elsevier Science |
| Publication: | January 2, 2018 |
| Imprint: | Academic Press |
| Language: | English |
Stochastic Crack Propagation: Essential Practical Aspects describes a feature important to the analysis of stochastic crack propagation, starting with essential background theory. Processes, or phenomena, which are of practical importance in the work of design engineers or R&D teams are described chapter by chapter. Many examples are described and supported by listed references, and files of data that can be used with specialist software to practice design situations are included. Advice on how to use various computer programs to design and predict for stochastic crack growth is also provided, giving professionals a complete guide.
- Presents instructions and exercises in the ideal format for professionals, focusing on applications
- Explains a methodology on how to optimize the engineering design process by including stochastic crack growth behavior
- Provides computational files to help readers get up-to-speed with design using programs like ANSYS and NASTRAN for stochastic crack growth
Stochastic Crack Propagation: Essential Practical Aspects describes a feature important to the analysis of stochastic crack propagation, starting with essential background theory. Processes, or phenomena, which are of practical importance in the work of design engineers or R&D teams are described chapter by chapter. Many examples are described and supported by listed references, and files of data that can be used with specialist software to practice design situations are included. Advice on how to use various computer programs to design and predict for stochastic crack growth is also provided, giving professionals a complete guide.
- Presents instructions and exercises in the ideal format for professionals, focusing on applications
- Explains a methodology on how to optimize the engineering design process by including stochastic crack growth behavior
- Provides computational files to help readers get up-to-speed with design using programs like ANSYS and NASTRAN for stochastic crack growth
