Article information

2016 , Volume 21, ¹ 5, p.3-21

Amelina E.V., Burov A.E., Golushko S.K., Lepikhin A.M., Moskvichev V.V., Yurchenko A.V.

Experimental and computational estimation for the strength of a metal composite pressure vessel

Composite overwrapped pressure vessels (COPV) are widely used in space industry for fuel and gases storage. Small vessels are well studied and developed while big ones need further investigation of their usability and optimization.

Two different approaches to modelling of COPV deformation processes are considered: on the base of shell theories and on the base of spatial theory of elasticity. First approach is used in combination with the structural models of composite material, second one uses improved failure theory. Full-scale tests of COPV used for the analysis of their fracture implementing visual, instrumental and acoustic emission control.

A number of simulations and comparative analysis of their results have been done. Different types of composite shell shape, boundary conditions, reinforcement have been compared using the Timoshenko and Andreev-Nemirovskii shell theories and the Nemirovskii structural models of reinforced layer with one-dimensional and two-dimensional fibers. Several failure stages have been studied using spatial FE analysis with special procedures, which had been integrated into the standard FEA software. Ten species of COPVs have been tested for failure and their deformation and fracture characteristics have been determined on the base of the tests results.

It is shown, that the suggested COPVs have enough strength and durability to be used in space systems but their safety factor is too big. There are still many optimization capabilities: COPV shape, structural parameters of composite shell, mechanical characteristics of materials and so on. For the purpose of COPV’s improvement it is suitable to use numerical optimization methods using the models based on the shell theories and structural models of composite material.

[full text]
Keywords: COPV, simulation, full-scale test, FEA, spatial model, shell theories, structural models of composite materials, deformation and fracture mechanics

Author(s):
Amelina Evgeniya Valerjevna
PhD.
Position: Senior Research Scientist
Office: Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences
Address: 630090, Russia, Novosibirsk, Akademika Lavrenteva ave., 6
Phone Office: (383)330-92-42
E-mail: amelina@ict.nsc.ru
SPIN-code: 8814-0913

Burov Andrey Efimovich
PhD.
Position: Senior Research Scientist
Office: Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences
Address: 630090, Russia, Novosibirsk, Akademika Lavrenteva ave., 6
Phone Office: (391) 227-45-70
E-mail: andrey@icm.krasn.ru

Golushko Sergey Kuzmich
Dr. , Professor
Position: Vice-Rector
Office: Novosibirsk State University, Institute of Computational Technologies SB RAS
Address: 630090, Russia, Novosibirsk, Akademika Rzhanova ave., 6
Phone Office: (383) 363-56-01
E-mail: s.k.golushko@gmail.com
SPIN-code: 8826-8439

Lepikhin Anatolii Mikhaylovich
Dr. , Professor
Position: General Scientist
Office: Federal research center of information and computational technologies,NTC NefteGazDiagnostica
Address: 630090, Russia, Novosibirsk, Academician M.A. Lavrentiev Avenue 6
Phone Office: (985) 195-33-22
E-mail: krasn@ict.nsc.ru
SPIN-code: 3072-6366

Moskvichev Vladimir Viktorovich
Dr. , Professor
Position: Director
Office: Federal Research Center for Information and Computational Technologies,Siberian Federal University
Address: 660049, Russia, Krasnoyarsk, Mira pr., 53
Phone Office: (391) 227-29-12
E-mail: krasn@ict.nsc.ru
SPIN-code: 9332-6468

Yurchenko Andrey Vasilyevich
PhD.
Position: director
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, ac. Lavrentyev Ave. 6
Phone Office: (383) 334-91-16
E-mail: yurchenko@ict.sbras.ru

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Bibliography link:
Amelina E.V., Burov A.E., Golushko S.K., Lepikhin A.M., Moskvichev V.V., Yurchenko A.V. Experimental and computational estimation for the strength of a metal composite pressure vessel // Computational technologies. 2016. V. 21. ¹ 5. P. 3-21
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