PSI - Issue 20

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Available online at www.sciencedirect.com Structural Integrity Procedia 00 (2018) 000–000 Structural Integrity Procedia 00 (2018) 000–000

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ScienceDirect

Procedia Structural Integrity 20 (2019) 294–299

© 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ILEE-2019 organizers © 2019 The Author(s). Published by Elsevier B.V. Peer-review under responsibility of the ILEE-2019 organizers Keywords: composite materials; composite structures; generalized forecasting models; extreme environmental factors; forecasting methods; residual life; durability; optimal complexity prediction model perform nce criteria associated with th task of emaining life predicti n of com osites. The f rmulated problems are inv stigated within the framework f refined variational for ulations of inverse prediction problems. Comparative qualitative res arches are carried out and methods of th choice of the most perspective directions of search of an ab olute minimum of the investigated in ators of eff ciency are developed. The r sults of compa ative c mputational xperiments on the effective solution of predicting the residual life of composites in the variational formulation are presented. © 2019 The Author(s). Published by Elsevier B.V. Peer-review under responsibility of the ILEE-2019 organizers K ywords: composite materia s; composite structures; generalized f r casting models; extreme environmental factors; forecasting methods; residual life; durability; optimal complexity prediction model Abstract The problem of developing effective methods for predicting the residual life of composite materials and structures under the influence of extreme environmental factors characteristic of the Arctic zone's sharp continental climate is investigated. Part of the problem is the solution to the problem of effective construction solutions, delivering the absolute minimum of multi-parameter performance criteria associated with the task of remaining life prediction of composites. The formulated problems are investigated within the framework of refined variational formulations of inverse prediction problems. Comparative qualitative researches are carried out and methods of the choice of the most perspective directions of search of an absolute minimum of the investigated indicators of efficiency are developed. The results of comparative computational experiments on the effective solution of predicting the residual life of composites in the variational formulation are presented. Abstract The problem of dev loping eff ctive methods for predicting t residual life of comp site materials nd tructures under the influence of extreme environmental factors characteristic of the Arc c zone's sharp continental cli ate is investigated. Part of the roble is the solution t the problem of effectiv co struction solutions, delivering the absolute minimum of ulti-parameter 1st International Conference on Integrity and Lifetime in Extreme Environment (ILEE-2019) The development and application of generalized models long-term forecasting of the residual resource composite materials and structures at the impact of extreme climate factors of the Arctic zone Gusev E.L. a,b, * Ivanova M.A. b , Chernykh V.D. a 1st International Conference on Integrity and Lifetime in Extreme Environment (ILEE-2019) The development and application of generalized models long-term forecasting of the residual resource composite materials and structures at the impact of extreme climate factors of the Arctic zone Gusev E.L. a,b, * Ivanova M.A. b , Chernykh V.D. a a Institute of oil and gas problems SB RAS, Oktyabrskaya St. 1, Yakutsk, 677980, Russia b Institute of Mathematics and Informatics of the North-Eastern Federal University, Belinskaya St. 58, Yakutsk, 677000, Russia a Institu e of il and gas problems SB RAS, Oktyabrskaya St. 1, Yakutsk, 677980, Russia b Institute of Mathematics and Informatics of the North-Eastern Federal University, Belinskaya St. 58, Yakutsk, 677000, Russia

* Corresponding author. Tel.: +8- 985- 306-8081. E-mail address: elgusev@mail.ru * Correspon ing author. Tel.: +8- 985- 306-8081. E-mail address: elgusev@mail.ru

2452-3216 © 2019 The Author(s). Published by Elsevier B.V. Peer-review under responsibility of the ILEE-2019 organizers 2452 3216 © 2019 Th Author(s). Publis d by lsevier B.V. Peer-review under responsibility of the ILEE-2019 organizers

2452-3216 © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ILEE-2019 organizers 10.1016/j.prostr.2019.12.154