Open AccessThe use of generalized models in the variational formulation of the prediction tasks defining characteristics of composite materials
Author(s) -
E. L. Gusev,
В. Н. Бакулин
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1431/1/012017
Subject(s) - inverse , reliability (semiconductor) , durability , composite number , task (project management) , computer science , mathematical optimization , resource (disambiguation) , inverse problem , mathematics , algorithm , engineering , mathematical analysis , systems engineering , physics , geometry , thermodynamics , computer network , power (physics) , database
Within the framework of variational refined statements of inverse problems of forecasting, thequestions of development of effective, refined methods of forecasting resource, strength, reliability, durability of structures made of polymeric, composite materials are investigated. Formulated the principle of a plurality of prediction models, whose inclusion in the refined formulation of the inverse task of forecasting opens new and promising possibilities to improve the efficiency of solving problems of forecasting the defining characteristics of structure composites.