Composite AI – A financial simulation

Authors

  • Anamaria-Nadie Emin (Leonte) Ovidius University of Constanta

Keywords:

artificial intelligence; machine learning; data analysis; composites; simulation and modelling

Abstract

Composite materials tend to increasingly replace classical materials in a wide variety of fields. The major market segments of composites are: boats, cars, heavy duty vehicles, building and constructions, sports and recreation, wind power, corrosion resist elements, aeronautics and military applications. However, there are many other very important applications and new products are released every year. There are various reasons why new materials can be favoured. Typical examples include materials which are less expensive, lighter, stronger or more durable when compared with common materials. Considering the above, but also the importance of using artificial intelligence in almost all areas of activity, the existence of software that provides numerical and graphical results on various issues in the field of composite materials can have a major financial advantage for both those who use it and for the companies that provide such services.

Author Biography

Anamaria-Nadie Emin (Leonte), Ovidius University of Constanta

Doctoral School of Mathematics

References

Abrate, S. (1998). Impact on Composite Structures, Cambridge University Press, Cambridge
Backer, A., Mouritz, A., Chester, R., Bannister, M., Properties of Composite Systems
Backer, A., Dutton, S., Kelly, D., Composite Materials for Aircraft Structures
Cowin, S.C. (1999). Bone poroelasticity, J Biomech,
Das, M., Sahu, S., Parhi, D.R. (2021). Composite materials and their damage detection using AI techniques for aerospace application: A brief review
Frainier, R., Groleau, N., Hazelton, L., Colombano, S.P., (1994). Automated Advisors for Remote Science Experimentation
Fuiorea, I. (1995). Materialele compozite - proiectarea răspunsului mecanic, Editura Pan Publishing House, București, România
Goodman, M.A., Cowin, S.C. (1972). A continuum theory for granular materials, Archive for Rational Mechanics and Analysis
Horton, R.E., McCarty, J.E. (1987). Damage Tolerance of Composites
Ispas, Șt. (1987). Materiale compozite, Editura Tehnică, București, România
Jiga, G. (2004). Noțiuni fundamentale în mecanica materialelor compozite, Editura Atlas Press, București, România
Lupescu, M.B., Fibre de Armare pentru Materialele Compozite
Nieto, M., Rivera, J.E.M., Naso, M.G., Quintanilla, R. (2018). Qualitative results for a mixture of Green–Lindsay thermoelastic solids. Chaotic Mod. Simul.
Rahman, A. (2010). Structural Composite Materials
Wang, R.M., Zheng, S.R., Zheng, Y.P., Polymer Matric Composites and Technology, Science Press, Beijing
https://www.rsc.org/search-results/?q=composite%20materials
https://en.wikipedia.org/wiki/Composite_material
http://www.fibermax.eu/index_files/compositesbenefits.htm
https://www.frontiersin.org/research-topics/20633/artificial-intelligence-and-machine-learning-in-composites-and-metamaterials

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Published

2021-12-13

How to Cite

Emin (Leonte), A.-N. (2021). Composite AI – A financial simulation: Array. Acta Universitatis Danubius. Œconomica, 17(6). Retrieved from https://dj.univ-danubius.ro/index.php/AUDOE/article/view/1479

Issue

Section

Entrepreneurial Perspectives