Most often, flow is not active during short bursts of dynamic loading (such as a 60 second earthquake, for example), since that is too short a time for any significant flow to occur. Whether or not the actual flow of fluid is included in calculations is up to user. Coupling With Ground Waterĭynamic analysis in FLAC3D can include the effect of ground water by configuring the analysis for ground water calculations, and defining groundwater characteristics. More information about the P2PSand model. In addition, Itasca's new liquefaction model embraces an easier and more practical calibration procedure in terms of in-situ data, instead of experimental data, greatly reducing the laboriousness of calibration. By revising some formula without destroying the conciseness of the original DM04 (Sanisand) model, the modifications improve the comparative results between model simulations and various laboratory and field observations with various initial and loading conditions. Itasca is pleased to announce P2PSand (Practical Two-Surface Plasticity model for Sands), our new practice-friendly 3D liquefaction constitutive model for FLAC3D based on the DM04 (Sanisand) model (Dafalias & Manzari, 2004). Built-in P2PSand Dynamic/Liquefaction Constitutive Model To restart if stopped, please refresh the page.
Continue for any given number of seconds. Use the command model solve time-total 10 to run the analysis for 10 seconds of model time.
Reflects back into the model from the free surface, returns to theĭo it yourself: The commands below can be run in the demo version of FLAC3D 6.0. The second plot shows the same model, but with a quiet boundaryĭefined at the bottom of the model. The simulation is undamped, and none of theīoundaries are absorbent, so the wave will propagate indefinitely. Of a single frequency pulse with a reflective boundary at the bottom andĪ free top boundary. Wave generated at the bottom of the model. The sample code included below models 1-D wave propagation of a shear See the “Dynamic Analysis” section of the FLAC3D Manual. Information about the differences and similarities of the two methods Non-linearities are included in an incremental fashion. Response is obtained in frequency domain and the effects of any Path-dependent solution in the time domain contrasts with theĮquivalent-linear methods commonly used in earthquake engineering, where The approach utilized by FLAC3D for obtaining a non-linear For aĬomprehensive constitutive law, modulus degradation and variation inĭamping due to changes in strain are inherent to the constitutive law.įor simpler constitutive laws however, use of hysteretic damping and/or Is determined based on the constitutive law used at each zone. The non-linearity and path-dependency of the stress-strain response Versus static is simply a small variation in the solution process. For a dynamic solution, FLAC3D uses real grid-point massesĪnd physically realistic damping. Introduced to facilitate the process of approaching the staticĮquilibrium.
For static analysis, additional damping and mass scaling are
FLAC3D uses the full equations of motion in its solution Full Non-linear Solution in Time DomainįLAC3D will provide a fully non-linear and path-dependent solution in This page provides a brief overview of some of the features that make FLAC3D ideal for dynamic analysis.
Powerful and Easy Preprocessing of Input SignalsĮasy Movie Creation Why Use FLAC3D for Dynamic Analysis?įLAC3D is especially useful for performing dynamic analyses. Gable, Scott Painter, Hari Viswanathan, and Garrett Aldrich.Customize Physics Through the Use of FISH or C++ Module This is joint work with Satish Karra, Nataliia Makedonska, Carl W. In this talk I will discuss the core elements of the dfnWorks computational suite as well as provide example applications of this suite in action.
A Lagrangian approach to simulating transport through the DFN is adopted within to determine pathlines and solute transport through the DFN. Flow through the network is simulated in dfnFlow, which utilizes the massively parallel subsurface flow and reactive transport finite volume code PFLOTRAN. The representation produces a conforming Delaunay triangulation suitable for high performance computing finite volume solvers in an intrinsically parallel fashion. The networks are created and meshed using dfnGen, which combines FRAM (the feature rejection algorithm for meshing) methodology to stochastically generate three-dimensional DFNs with the LaGriT meshing toolbox to create a high-quality computational mesh representation. Developed at Los Alamos National Laboratory over the past five years, it has been used to study flow and transport in fractured media at scales ranging from millimeters to kilometers.