Mircea Bocioaga, Cristian Moisei, Octavian Nistor, Ciprian Bacria, Denise Nitescu, Daniela Baran
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Extending structural optimization capabilities of FEA softs according to machine learning principles
The purpose of this paper is to extend structural optimization capabilities of some FEA softs (NASTRAN/PATRAN, MARC-MENTAT) by coupling them with MATLAB codes in order to develop light weight design based on machine learning principles. We apply these ideas to some composite material with gyroid structure. The obtained results are interesting from both a theoretical and a practical point of view, shortening the design cycle for this type of materials.
期刊介绍:
INCAS BULLETIN is a scientific quartely journal published by INCAS – National Institute for Aerospace Research “Elie Carafoli” (under the aegis of The Romanian Academy) Its current focus is the aerospace field, covering fluid mechanics, aerodynamics, flight theory, aeroelasticity, structures, applied control, mechatronics, experimental aerodynamics, computational methods. All submitted papers are peer-reviewed. The journal will publish reports and short research original papers of substance. Unique features distinguishing this journal: R & D reports in aerospace sciences in Romania The INCAS BULLETIN of the National Institute for Aerospace Research "Elie Carafoli" includes the following sections: 1) FULL PAPERS. -Strength of materials, elasticity, plasticity, aeroelasticity, static and dynamic analysis of structures, vibrations and impact. -Systems, mechatronics and control in aerospace. -Materials and tribology. -Kinematics and dynamics of mechanisms, friction, lubrication. -Measurement technique. -Aeroacoustics, ventilation, wind motors. -Management in Aerospace Activities. 2) TECHNICAL-SCIENTIFIC NOTES and REPORTS. Includes: case studies, technical-scientific notes and reports on published areas. 3) INCAS NEWS. Promote and emphasise INCAS technical base and achievements. 4) BOOK REVIEWS.