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.

• Presents experimental, analytical, and numerical studies of two-dimensional triaxially braided composites
• Provides cutting-edge knowledge on progressive failure simulation
• Includes clarification of failure mechanisms under various loading conditions
• Presents the latest advances on multi-scale modeling methods
• Discusses challenges and future prospectives on multi-scale mechanics of textile composites