- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
Multi-scale Mechanics of 2D Triaxially Braided Composites: Characterization, Mechanics and Machine-learning Based Modelling presents the latest advances in this important research field. The book begins with a brief introduction to these materials including their mechanical features, damage and failure mechanisms and typical applications. The contents are then divided into three main sections on experimental characterization; mechanics-based modeling and machine-learning based modeling approaches. By taking a multi-scale modeling approach, that includes progressive damage and impact simulation, as well as theoretical modelling, machine-learning and multi-scale mechanics aspects, the author presents key findings in this important field. A systematic introduction is given to the multi-scale and machine-learning based modeling approach, along with their corresponding source codes for the progressive damage model. Then an up-to-date theoretical model is also presented, as well as, high-efficient finite element mesh of the unit cell, for conducting multi-scale analysis and design of these materials and structures. Numerical examples are also presented to illustrate the application of presented methods for quasi-static and impact problems. To enhance the reader's understanding numerous engineering case studies are also included, together with examples of material/structure optimization. The book provides the latest knowledge and methodology for the design and analysis of aerospace structures and other materials technologies, guiding the researcher to understand this cutting-edge research framework.
Contents
SECTION 1. Experimental Characterization
1. Two-dimensional Triaxially Braided Composite (2DTBC) and its manufacturing
2. Quasi-static failure behavior and free-edge effect
3. Dynamic compressive failure behavior
4. Low-velocity impact failure behavior
5. High-velocity impact behavior
6. Effect of hydrothermal aging
SECTION 2. Mechanics-based Modeling
7. Volume-average based analytical methods
8. Three-dimensional generalized analytical model
9. Meso-FE model
10. Modelling the temperature-rise behavior
11. Multi-scale models
SECTION 3. Machine-learning based modeling
12. Introduction of Machine-learning based modelling approaches
13. Machine-learning based modelling approaches for isotropic elastoplastic materials
14. Machine-learning based modelling approaches for anisotropic composites
15. Machine-learning based modelling for textile composites
16. Conclusion and Prospects
