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Effect of DEM inter-particle parameters on uniaxial loading modeling results Научная публикация

Журнал Computational Particle Mechanics
ISSN: 2196-4378 , E-ISSN: 2196-4386
Вых. Данные Год: 2023, Том: 10, Номер: 6, Страницы: 2021–2030 Страниц : 10 DOI: 10.1007/s40571-023-00604-y
Ключевые слова Discrete elements · Statistical analysis · Model calibration
Авторы Chepelenkova Veronica 1 , Lisitsa Vadim 2
Организации
1 Novosibirsk State University, 2 Pirogova St., Novosibirsk, Russia, 630090
2 Institute of Mathematics SB RAS, 4 Kptug Ave., Novosibirsk, Russia, 630090

Информация о финансировании (1)

1 Министерство науки и высшего образования РФ
Математический центр в Академгородке
075-15-2019-1613, 075-15-2022-281

Реферат: We present a 2D DEM-based model with bonded particles to simulate the uniaxial loading of a porous material. In this paper, we focus on the numerical study of the model parameters at the microscale (normal and tangential stiffnesses of the bonds, bond length, and friction coefficient) influence on the Young modulus and compressive strength of the modeled material. Young’s modulus exhibits linear dependence on the normal stiffness, whereas its dependence on the other parameters is more complex and hard to characterize. We illustrate that compressive strength depends linearly on the normal and tangential stiffness as well as on the bond length but it relates quadratically to the friction coefficient. Additionally, we illustrate that the model is scalable and that Young’s modulus and compressive strength do not depend on the particle size. The provided study allows the construction DEM-based model of porous material with prescribed properties to perform a simulation of uniaxial and triaxial loading of complex heterogeneous materials.
Библиографическая ссылка: Chepelenkova V. , Lisitsa V.
Effect of DEM inter-particle parameters on uniaxial loading modeling results
Computational Particle Mechanics. 2023. V.10. N6. P.2021–2030. DOI: 10.1007/s40571-023-00604-y WOS Scopus РИНЦ OpenAlex
Даты:
Поступила в редакцию: 22 дек. 2022 г.
Принята к публикации: 23 апр. 2023 г.
Опубликована online: 17 мая 2023 г.
Опубликована в печати: 15 нояб. 2023 г.
Идентификаторы БД:
Web of science: WOS:000989826100002
Scopus: 2-s2.0-85159628671
РИНЦ: 62318838
OpenAlex: W4376875158
Цитирование в БД:
БД Цитирований
OpenAlex 2
Scopus 2
Альметрики: