A Numerical Approach to the Simplified Laminate Theory of Composite Materials / Advanced Structured Materials Bd.202 (PDF)
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This two-dimensional approach and the underlying advanced continuum mechanical modeling might be very challenging for some students, particularly at universities of applied sciences. Thus, a reduced approach, the so-called simplified classical laminate theory (SCLT), has been recently proposed. The idea was to use solely isotropic one-dimensional elements, i.e., a superposition of bar and beam elements, to introduce the major calculation steps of the classical laminate theory. Understanding this simplified theory is much easier and the final step it to highlight the differences when moving to the general two-dimensional case.
This monograph first provides a systematic and thorough introduction to the simplified laminate theory based on the theory for bars and classical beam plate elements. The focus is on stacking of isotropic layers to simplified laminates. In addition to the elastic behavior, failure is investigated based on the maximum stress, maximum strain, Tsai-Hill, and the Tsai-Wu criteria. We provide a Python-based computational tool, the so-called Composite Laminate Analysis Tool (CLAT 1D) to easily solve some standard questions from the context of fiber reinforced composites. The tool runs in any standard web browser and offers a user-friendly interface with many post-processing options. The functionality comprises stress and strain analysis of simplified lamina and laminates and the failure analysis based on different criteria.
Resam Makvandi received his Ph.D. at the Institute of Mechanics, Otto von Guericke University of Magdeburg, Germany. He completed his B.Sc. degree at the Islamic Azad University, Ahvaz Branch, Iran (2010) and his M.Eng. degree at the University of Technology, Malaysia (2013), both in Mechanical Engineering.
- Autoren: Andreas Öchsner , Resam Makvandi
- 2024, 1st ed. 2024, 146 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 303147984X
- ISBN-13: 9783031479847
- Erscheinungsdatum: 12.02.2024
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- Größe: 6.34 MB
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