Pregled bibliografske jedinice broj: 1132635
A Lagrangian differencing dynamics method for granular flow modeling
A Lagrangian differencing dynamics method for granular flow modeling // Computers and Geotechnics, 137 (2021), 104297, 13 doi:10.1016/j.compgeo.2021.104297 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1132635 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Lagrangian differencing dynamics method for
granular flow modeling
Autori
Peng, Chong ; Bašić, Martina ; Blagojević, Branko ; Bašić, Josip ; Wu, Wei
Izvornik
Computers and Geotechnics (0266-352X) 137
(2021);
104297, 13
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Lagrangian differencing dynamics ; Meshless method ; Non-Newtonian flow ; Drucker-Prager yield criterion ; Granular flow ; Granular impact on structures
Sažetak
In this paper, a new Lagrangian differencing dynamics (LDD) method is presented for the simulation of granular flows. LDD is a truly meshless method, which employs second-order consistent spatial operators derived from the Taylor expansion and point renormalization. A decoupled pressure-velocity formulation is employed to derive the pressure Poisson equation, which ensures smooth pressure results in time. Granular media are modeled as viscoplastic materials with the Drucker-Prager yield surface. The velocity equation is formulated and solved in an implicit form, in order to handle large viscosities from the constitutive model. Furthermore, a position-based dynamics technique is used to maintain uniform distribution of the Lagrangian points. The presented LDD method for granular flows is validated by simulating two numerical examples. The results are compared with experimental and numerical data from the literature.
Izvorni jezik
Engleski
Znanstvena područja
Geofizika, Brodogradnja, Temeljne tehničke znanosti, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus