6 research outputs found
Large deformation analysis using a quasi-static material point method.
The Finite Element Method (FEM) has become the standard tool for the analysis of a wide range of solid mechanics problems. However, the underlying structure of a classical updated Lagrangian FEM is not well suited for the treatment of large deformation problems, since excessive mesh distortions can lead to numerical difficulties. The Material Point Method (MPM) represents an approach in which material points moving through a fixed finite element grid are used to simulate large deformations. As the method makes use of moving material points, it can also be classifed as a point-based or meshless method. With no mesh distortions, it is an ideal tool for the analysis of large deformation problems. MPM has its origin in fluid mechanics and has only recently been
applied to solid mechanics problems. It has been used successfully for impact analyses where bodies penetrate each other and for silo discharging problems. All existing MPM codes found in literature are dynamic codes
with explicit time integration and only recently implicit time integration. In this study a quasi-static MPM formulation and implementation are presented. The paper starts with the description of the quasi-static governing equations and the numerical discretisation. Afterwards, the calculation process of the quasi-static MPM is explained, followed by the presentation of some geotechnical boundary value problems which have
been solved with the newly developed quasi-static MPM code. The benchmark problems consist of an oedometer test and a slope. For validation, the results are compared with analytical solutions and FEM results, respectively
A laboratory-numerical approach for modelling scale effects in dry granular slides
Granular slides are omnipresent in both natural and industrial contexts. Scale effects are changes in physical behaviour of a phenomenon at different geometric scales, such as between a laboratory experiment and a corresponding larger event observed in nature. These scale effects can be significant and can render models of small size inaccurate by underpredicting key characteristics such as ow velocity or runout distance. Although scale effects are highly relevant to granular slides due to the multiplicity of length and time scales in the flow, they are currently not well understood. A laboratory setup under Froude similarity has been developed, allowing dry granular slides to be investigated at a variety of scales, with a channel width configurable between 0.25-1.00 m. Maximum estimated grain Reynolds numbers, which quantify whether the drag force between a particle and the surrounding air act in a turbulent or viscous manner, are found in the range 102-103. A discrete element method (DEM) simulation has also been developed, validated against an axisymmetric column collapse and a granular slide experiment of Hutter and Koch (1995), before being used to model the present laboratory experiments and to examine a granular slide of significantly larger scale. This article discusses the details of this laboratory-numerical approach, with the main aim of examining scale effects related to the grain Reynolds number. Increasing dust formation with increasing scale may also exert influence on laboratory experiments. Overall, significant scale effects have been identified for characteristics such as ow velocity and runout distance in the physical experiments. While the numerical modelling shows good general agreement at the medium scale, it does not capture differences in behaviour seen at the smaller scale, highlighting the importance of physical models in capturing these scale effects
Modelling of pile installation process
W pracy rozwa偶a si臋 zagadnienie modelowania procesu instalacji pala w gruncie. Zjawisko bardzo du偶ych odkszta艂ce艅 gruntu, wyst臋puj膮ce w tym procesie, zosta艂o przeanalizowane za pomoc膮 metody punkt贸w materialnych - wariantu metody element贸w sko艅czonych, sformu艂owanego w dowolnym materialno-przestrzennym opisie ruchu.Modelling of the process of pile installation is considered in the paper. The problem of large strains involved in the installation process is analysed with the help of the material point method, a variant of the finite element method formulated in an arbitrary Lagrangian-Eulerian description of motion
Granular flow modelling by the materia艂 point method
Red. serii : Wodzi艅ski, PiotrModelowanie komputerowe procesu przep艂ywu materia艂u sypkiego ma du偶e
znaczenie praktyczne, poniewa偶 pozwala wyznaczy膰 profil i pr臋dko艣膰 przep艂ywu
oraz oddzia艂ywania materia艂u na 艣ciany zbiornika znacznie mniejszym kosztem ni偶
badania eksperymentalne. Modelowanie numeryczne mo偶e r贸wnie偶 w znacznym
stopniu zredukowa膰 koszt eksperymentu, je艣li zostanie on poprzedzony odpowiednio
przygotowan膮 analiz膮 numeryczn膮. Niniejsze opracowanie po艣wi臋cone jest
temu zagadnieniu, przy czym analizowano procesy zar贸wno opr贸偶niania, jak i nape艂niania
zbiornika. Opis mechaniczny przep艂ywu materia艂u sypkiego charakteryzuje
si臋 silnymi nieliniowo艣ciami zwi膮zanymi z du偶ymi odkszta艂ceniami, nieliniowymi
zwi膮zkami fizycznymi oraz zjawiskiem kontaktu z tarciem. Jako narz臋dzie
analizy zastosowano metod臋 punkt贸w materialnych - wykorzystan膮 w analizie zagadnie艅
mechaniki cia艂a sta艂ego implementacj臋 metody cz膮stki w kom贸rce ( ang.
particle-in-cell method). Metod臋 punkt贸w materialnych mo偶na tak偶e interpretowa膰
jako metod臋 element贸w sko艅czonych, sformu艂owan膮 w mieszanym, materialno-
przestrzennym opisie ruchu. W opracowaniu por贸wnano kilka modeli konstytutywnych
materia艂u sypkiego. Metod臋 analizy zastosowano do zbiornik贸w o z艂o偶onych
kszta艂tach - analizowano przep艂yw p艂aski i osiowosymetryczny.[...]Dynamie processes of granular flow have been analysed using the materia艂
point method. Piane strain and axi-symmetric flows have been investigated. Dynamie,
strongly non-linear problems including large strains, materia艂 non-linearity
and frictional contact have been solved.
The materia艂 point method (MPM) has been proved to be a reliable numerical
tool in the analysis of highly complex problems as discharging and filling containers
(silos). The materia艂 point method is a variant of the finite element method
formulated in an arbitrary Lagrangian-Eulerian description of motion. Although
MPM uses the computational element mesh, it can also be regarded as a pointbased
(meshless) method as the history of state variables is traced at the materia艂
points that are defined independently of the computational mesh used in the
method. The point-based methods including MPM are more efficient in an analysis
of large strain problems than the finite element method (FEM) formulated in
the purely Lagrangian format as the latter method suffers from the excessive distortions
of the element mesh used in calculations. The dynamie problem of granular
flow has been formulated variationally and solved in the incrementa! way. The
dynamie equations of MPM have been integrated in time by an explicit procedure.
The mechanical behaviour of the granular materia艂 has been described by the
use of several constitutive models: elastic-ideal plastic model, elastic-viscoplastic
one, and several hypoplastic models. The Drucker-Prager yield condition and the
non-associative (plastic incompressible) flow rule have been utilised in the case of
the first two models. The constitutive relations have been integrated with respect
to time by implicit algorithms.
Problems of granular flow in silos of different shapes have been analysed. The
silos with flat bottoms and trapezoidal or conical outlets have been considered.
Two basie kinds of flow pattem (in the si艂o discharge process) have been modelled:
the mass and funnel ones. The problem of granular flow around inserts has also
been investigated including the flow in a container of the "silo-in-silo" type.
In the case of the analysis of si艂o filling problem, an additional algorithm of
mass density field calculation has been added to the MPM procedure. The density
field has been determined on the base of the masses and current position of
the materia艂 points. This approach is more accurate than the calculation of the
density field by time integration of the constitutive relations, and also allows to determine
the density in the stress-free state when the materia艂 grains are separated.
A combination of viscous and non-linear elastic terms has been used to relate the
volumetric strain and pressure in the constitutive equations.
To avoid the mesh dependency of the numerical solution, the viscoplastic regularisation
in the constitutive model has been used. This approach allows to obtain
the thickness of shear bands - occurring in granular flow problems - related to the
materia艂 model parameter, not to the size of element mesh. The mesh independence
of the materia艂 point solution has been shown in the work.
The phenomenon of dome which can be created over an outlet of a si艂o has
also been investigated in the book. The phenomenon can appear when the granular
materia艂 reveals some cohesion which can be an effect of materia艂 moistness. The
small materia艂 cohesion can lead to an unreliable flow or flow suspension. MPM
allows to analyse this problem. The minimum values of cohesion have been found
for which the flow is stopped in the cases of si艂o discharge and stock-pile reclaim
problems.
To reduce the real time of computations, the parallel programming has been
used by means of OpenMP. The loop-level parallelism has been applied for the
main loops of the computer program. Although the approach is rather straightforward,
the significant value of 2.6 has been achieved for the speed-up factor when
4 threads are used in the calculations.
Some numerical results have been compared with those obtained from empirical
formulae; good agreement has been noticed. The materia艂 point modelling
of the granular flow seems to have the practical significance as it allows to find
the flow profile, flow rate and the interaction between the flowing materia艂 and
si艂o walls by means of smaller cost than an experiment. This does not mean that
the modelling can entirely replace the experiment. However, the cost of the experimental
research can be remarkably reduced when the computer modelling is
utilised in preparing the experiment