Übersicht			Auf mobile öffnen

Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (September 2026)
Genre:	Naturwissensch., Medizin, Technik
	Composites / Computational Materials Science / continuum damage / convolutional neural network / deep q-network / Failure Modelling / machine learning / Maschinelles Lernen / Mathematical Models of Cognitive Processes and Neural Networks / Mathematische Modellierung / multiscale simulation / Technische Anwendung von Polymeren und Verbundwerkstoffen / Textile Composites / Wood, fabric, and textiles mehr...
ISBN:	9783032337962
EAN-Code:	9783032337962
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Illustration:	Approx. 140 p. 25 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

Failure Modelling of Textile Composites offers a thorough and organized summary of the models, procedures, and mechanisms governing the failure behavior of composite materials based on textiles. Advanced textile composites are expanding quickly in the automotive, aerospace, defence, and energy sectors. As a result, it is now essential to comprehend and forecast how these materials will fail under complicated loading scenarios in order to ensure safe and effective design. Through a thoughtful blending of theoretical underpinnings, computational modeling techniques, and practical observations, this book fills that gap. The book starts with the basics of textile-reinforced composites and then goes on to examine how the complex structures of textile fabric affect their mechanical response. With the help of experimental findings and microstructural considerations, the development of damage is thoroughly examined, ranging from matrix cracking and fiber breaking to interfacial debonding and delamination.  Advanced testing procedures and characterisation techniques that are essential for model calibration and validation are presented in dedicated chapters. The book's main focus is on continuum damage mechanics (CDM) models specifically designed for textile composites, as well as phenomenological and analytical approaches. After that, it moves into numerical and multiscale modelling techniques, showing how cohesive zone models, finite element analyses, and representative volume elements (RVEs) are used to portray the intricate, hierarchical character of failure. Validation studies and real-world case examples from automotive, aerospace, and protective applications support the debate and show how theoretical models correspond to actual performance. Concluding with emerging trends, the book highlights the integration of machine learning, digital twins, and data-driven approaches for failure prediction and structural health monitoring. It also explores future directions such as sustainable textile composites and hybrid reinforcement systems. It offers a hybrid deep learning method that combines a dual-input Convolutional Neural Network (CNN) for mechanical property prediction with a Deep Q-Network (DQN) for optimization.