Open AccessVirtual Mechanical Testing of Rocket and Space Technology Objects Using Digital Twins
Author(s) -
S. A. Yakhutin
Publication year - 2021
Publication title -
raketno-kosmičeskoe priborostroenie i informacionnye sistemy
Language(s) - English
Resource type - Journals
eISSN - 2587-9057
pISSN - 2409-0239
DOI - 10.30894/issn2409-0239.2021.8.3.43.47
Subject(s) - closeness , computer science , basis (linear algebra) , reliability (semiconductor) , measure (data warehouse) , reliability engineering , rocket (weapon) , function (biology) , fuzzy logic , space (punctuation) , product (mathematics) , sample (material) , membership function , simulation , data mining , mathematics , artificial intelligence , aerospace engineering , fuzzy set , engineering , mathematical analysis , geometry , power (physics) , chemistry , physics , chromatography , quantum mechanics , evolutionary biology , biology , operating system
Virtual mechanical tests play an increasing role in the stage of ground experimental testing to prove the resistance of rocket and space technology products to mechanical impacts. An important indicator of virtual simulation quality, on the basis of which design decisions are made, is the accuracy of the results obtained, which can be estimated by verification with the results of full-scale tests. The paper proposes a variant of modifying the methods of vectors and state trees using fuzzy measure in the form of membership functions as a degree of truth of the concept “parameter by measurement results in tolerance” or “sample is recognized to be operable”. A methodology for virtual mechanical testing of rocket and space technology products on digital twins is proposed, which allows obtaining a quantitative assessment of the reliability of the generalized conclusion about the condition of the tested product in the form of a membership function reflecting the real degree of closeness of the assessment to its true state and implemented in the form of an appropriate program.