Online Course on
Analysis and Artificial Intelligence Assisted Design Optimization of Composite Structures
A structured online programme from IISc faculty covers analysis of composite structures and the use of AI for design optimization. It highlights data driven methods to improve performance and efficiency in engineering applications.
Course at a Glance
Know the Course Instructor
Dr. G. Narayana Naik
Dr. G. Narayana Naik, completed his B.E. from Mysore University in 1989, M.Tech. from IIT Madras in 1993, Ph.D.(Engg.) from IISc, Bengaluru in 2006. He joined the Department of Aerospace Engineering at Indian Institute of Science Bengaluru in 1994 and currently he is working as Chief Research Scientist. He has over 32 years of service at Indian Institute of Science, Bengaluru. He has published over 100 publications in international Journals, Conference Proceedings and Reports. He is the Investigator for many Research and Development projects. He has been working in the area of composite structures, finite element analysis, computational mechanics, optimization techniques, nanocomposites, structural mechanics, artificial intelligence, failure mechanisms, damage tolerance analysis etc. He has guided several Ph.D. students and M.Tech Projects. He is the reviewer for many International Journals and Conference Proceedings.
Objectives of the Course
Composites are future materials and have been finding applications in all fields of engineering (Aero, Civil, Mechanical, Automobile, Marine).
Many FEM software packages are available for analysis & design optimization.
One should first understand the mechanical behavior of the composite structures before using FEM packages.
After the completion of this course one can use the FEM software packages for better quality of professional work and optimum usage of time, computing and human resources.
The course also introduces Artificial Intelligence and Machine Learning concepts for design optimization of composite structures.
Course Syllabus
Analysis and AI assisted design optimization of composite structures course is about understanding the basic concepts and terminology, different types of fibers and matrices, their properties and applications. Study of micromechanics, macromechanics and failure theories for composites are taught in detail.
The concept of mechanics of laminated composites and analysis will be carried out. In continuation theory and analysis of beams and plates will be studied.
Design of laminates using carpet plots, AML plots are carried out. Design of laminates and artificial intelligence assisted design optimization of composite structures and comparison of artificial intelligence methods are studied.
Introduction: Basic concepts and terminology, different types of fibers and matrices, their properties and applications. Micromechanics of composites: Prediction of properties etc. Macromechanics of lamina: The theory of elasticity, constitutive equations of a lamina, transformations.
Failure theories for composite lamina, numerical examples, numerical examples of lamina and failure theories, mechanics of laminated composites: ABD matrices, etc. hygrothermal analysis.
Numerical examples of laminates, bending analysis of beams: theory, numerical examples, numerical examples of beams, Mid term exam.
Analysis of laminated composite plates: Classical and first order theories, energy method, numerical examples, numerical examples of bending of plates. Buckling analysis of plates: Theory, numerical examples.
Design of laminates using carpet plots, AML plots, design of laminates with numerical examples, artificial intelligence assisted design optimization of composite structures with numerical examples.
Comparison of artificial intelligence methods, Final exam.
Who Can Apply & Who Can Benefit?
Who Can Apply?
- B.E / B.Tech. / AMIE / AMAeSI (Engg.) (Mechanical, Aero, Civil, Automobile, Marine, Ocean etc) OR equivalent
Who Can Benefit?
- Technologists/ Engineers/ Scientists/ Trainees/ Project Staff/ etc. from Industries, R & D Organizations, Institutions, Colleges etc
- Faculty of Engineering / Diploma Institutions etc
- Fresh Graduates, Post Graduates, Ph.D. Students, Research Fellows, SRFs, JRFs, etc