Arbitrary Lagrangian-Eulerian 3D and 2D Multi-Physics Code
ALE3D is a 2D and 3D multi-physics numerical simulation software tool using arbitrary Lagrangian-Eulerian (ALE) techniques. The code is written to address both two-dimensional (2D) and three-dimensional (3D) problems using a hybrid finite element and finite volume formulation to model fluid and elastic-plastic response on an unstructured grid.
The ALE and mesh relaxation capability broadens the scope of applications in comparison to tools restricted to Lagrangian or
Eulerian (advection) only approaches, while maintaining accuracy and efficiency for large, multi-physics and complex geometry simulations. Beyond its foundation as a hydrodynamics and structures code, ALE3D has multi-physics capabilities that integrate various packages through an operator-splitting approach.
Additional ALE3D features include heat conduction, chemical kinetics and species diffusion, incompressible flow, wide range of material models, chemistry models, multi-phase flow, and magneto-hydrodynamics for long (implicit) to short (explicit) time-scale applications.
ALE3D4I (ALE3D For Industry) is a new version of ALE3D that allows industry and academic users to access the high-performance / high-fidelity computing capabilities of ALE3D. ALE3D4I features most of the same features and capabilities as ALE3D and is available on LLNL's massively parallel supercomputers. more >>
Upcoming Lawrence Livermore National Laboratory ALE3D class offerings:
ALE3D INTRODUCTORY CLASS via MS Teams – Sep.13-Sep. 17, 2021 – (Registration is open, cost $1200)
This introductory class covers the basics of running the code and describe some of the theory behind its various physics modules. There is a mix of lecture and hands-on training during the five days. The target audience are those who have performed some computational modeling. Some experience running ALE3D is helpful, but not required. Users must have a valid, current license.
Registration website - https://llnl.cventevents.com/ALE3DIntroSept2021
ALE3D INTRODUCTORY CLASS via MS Teams – 2022 – (Registration is not yet open)
This introductory class covers the basics of running the code and describe some of the theory behind its various physics modules. There is a mix of lecture and hands-on training during the five days. The target audience are those who have performed some computational modeling. Some experience running ALE3D is helpful, but not required. Users must have a valid, current license. Users who are licensed and on the invite list will be given priority once registration opens. If you wish to be put on the invite list, please email ale3d-help [at] llnl.gov
ALE3D ADVANCED CLASS via MS Teams – 2022 – (Registration not yet open)
This is an advanced class in the use of ALE3D. While many of the topics presented here are presented in the introductory course, this class will cover these topics in much greater detail. The target audience are those who are users of ALE3D, and previous attendance of the introductory ALE3D course is highly encouraged. Users who are licensed and on the waitlist will be given priority once registration opens. If you wish to be put on the waitlist, please email ale3d-help [at] llnl.gov. Registration will be on a per-submodule basis so attendees can sign up for one or all of the submodules at the time of registration. For a draft agenda with more in-depth information on each submodule – click here.
- Submodule 1 – 2022 - $TBD
- Submodule 2 – 2022 - $TBD
- Submodule 3 – 2022 - $TBD
- Embedded Grids, Spheral, Advanced Material Models, MIDAS
- Submodule 4 – 2022 - $TBD
- Implicit Mechanics, Heat Transfer, Chemistry
- Submodule 6 – 2022 - $TBD
- Advanced Chemistry
Classes are held at Lawrence Livermore National Laboratory (Livermore, CA) unless otherwise stated.
ALE3D is a limited access code. No foreign nationals please.
Contact us at ale3d-help [at] llnl.gov to find out if you are qualified to attend and to be sent an invite as soon as the registration website opens.
Applications and Capabilities
Click on the image for a more complete description of the application or capability
Detonation, Deflagration, Convective Burn—ALE3D can model the detonation, deflagration, and convective burn processes associated with the energetic response to thermal and mechanical stimuli of both high explosives and propellants.
Rocket Motor Impact
NATO fragment impacting HPP rocket motor at 1.0 and 2.6 km/s. The PERMS (propellant energetic response to mechanical stimuli) model is used to predict the impact response of the propellant to the NATO fragment.
Modeling the convective burning of PBX-9501 as part of the HYDRA thermal explosion imaging experiments. Multi-velocity model coupled with chemistry enables simulations of the evolving deflagration of thermally-degraded material.
Explicit Hydrodynamics—Enforces conservation of momentum using the Finite-Element Method. Problemscan be solved in ALE3D using the Lagrange+Remap approach. Such formulation allows the user the option to run in a variety of modes from Fully Lagrangian to Fully Eulerian.
Contours of temperature field using ALE3D explicit hydrodynamics simulating a polymer-bonded explosive (PBX) explosion in a confined space. Ritchmeyer-Meshkov instabilities are captured at the shock interface due to density gradient.
Fracture and Fragmentation—The Arbitrary Lagrangian-Eulerian capabilities in ALE3D provide a robust solution for high velocity impact problems while other parts of the simulation can be kept Lagrangian to provide an accurate representation of surfaces and material deformation.
Fracture and Fragmentation
In this simulation, a scored steel plate sitting against a copper buffer is impacted by a copper flyer backed by polycarbonate. The impulse launches the steel plate from the buffer, and the resulting biaxial stretching causes the plate to fracture. The fracture occurs preferentially along the score lines.
Heat Transfer —ALE3D is involved in process modeling for the aluminum manufacturing industry. This picture shows a simulation of several passes of a hot aluminum slab through cooled steel rollers. The plotted temperature contours show heat transfer from the slab to the rollers, which can be important to stress relaxation rates within the aluminum. The simulation also utilizes ALE3D's capabilities for slide surfaces with friction and thermal contact resistance, in addition to employing sophisticated damage evolution material models.
One of the principal forming processes for aluminum is the hot rolling of ingots into thick slabs and further rolling to form plate and sheet material of various thicknesses. Multiple passes in a reversing rolling mill of a hot slab are required to produce semi-finished aluminum plate. However, the large deformations encountered while rolling may lead to failure modes that result in loss of part or even the entire slab. The formation of defects within the plate, such as edge cracking, delamination, alligatoring (center splitting near the front and rear), and the formation of undesirable rolled end shapes, all lead to product losses.
Processing parameters could be chosen that improve product yield if the slab material response to the hot rolling process were sufficiently well understood. We have worked with a major aluminum manufacturer to develop models that:
- Predict temperature, stress, strain, and damage evolution of slab material as it evolves through multipass rolling
- Determine the effect of initial slab shape and rolling pass schedule on fracture and internal product integrity
- Demonstrate the utility of a numerical model as a forming process optimization tool
This movie shows the result of several passes of a hot aluminum slab through cooled steel rollers. The plotted temperature contours show heat transfer from the slab to the rollers, which can be important to stress relaxation rates within the aluminum. The simulation also utilizes ALE3D's capabilities for slide surfaces with friction and thermal contact resistance, in addition to employing sophisticated damage evolution material models.
Implicit Hydrodynamics—Twin domain formation during large strain compression of an idealized magnesium polycrystal.
Twin domain formation during large strain compression of an idealized magnesium polycrystal.
Shear localization during channel die compression of an aluminum alloy, with the material response informed by a polycrystal plasticity model.
Incompressible Flow—The incflow model solves the incompressible Navier-Stokes equations using the finite-element method. It uses an implicit projection time-stepping scheme. It is appropriate for long time scale, low Mach number flow problems dictated by viscous effects. The model can be coupled to the heat transfer package for the computation of thermal convection problems.
The incflow model solves the incompressible Navier-Stokes equations using the finite-element method. It uses an implicit projection time-stepping scheme. It is appropriate for long time scale, low Mach number flow problems dictated by viscous effects. The model can be coupled to the heat transfer package for the computation of thermal convection problems.
Lagrangian Particulate Model—The particulate package tracks individual discrete particles through the computational domain. This model is useful for very dilute multi-phase flow problems.
The particulate package tracks individual discrete particles through the computational domain. This model is useful for very dilute multi-phase flow problems.
Magneto-Hydrodynamics (MHD)—The MHD module solves the transient magnetic advection-diffusion equation, magnetic forces are coupled to hydrodynamics and Joule heating is coupled to heat transfer.
A simulation of a physical experiment uses large magnetic fields to compress a thin wall aluminum tube. The geometry consists of a robust steel outer tube and a 0.030-in. inner aluminum tube; the tubes are connected together at one end and connected to a header at the other end. In the physical experiment this device is connected, via 12 cables, to three 10-kV capacitor banks which are discharged simultaneously. In the ALE3D simulation, the capacitor bank and associated cables are modeled by an RLC circuit which is coupled to the Magneto Hydrodynamics (MHD) partial differential equations (PDEs). A large magnetic field exists in the space between the tubes, resulting in a large 'magnetic pressure' that will compress the inner tube.
The simulation exercises the coupling of magnetic fields with explicit hydrodynamics. The thin aluminum tube is constrained to be Lagrangian, but in the air region mesh relaxation is allowed. Since the temperature rise is small, heat transfer is ignored. In the physical experiment both strain gauges and photonic doppler velocimeters were used to measure the deformation, and ALE3D results correlated quite well with this data.
Multiphase Model—The multiphase model allows the computation of flows involving multiple dispersed materials (or phases) where each phase is treated as a continuum. It uses a cell-centered Godunov-type finite-volume scheme. Each phase possesses its own distinct velocity and state data.
Powder Compaction Calculations with ALE 3D—Plastic strain contours and velocity vectors for aluminum powder compaction inside a rigid box.
Powder compaction calculations with ALE 3D (plastic strain contours and velocity vectors for Aluminum powder compaction inside a rigid box).
Structural—The ALE (Arbitrary Lagrangian-Eulerian) framework allows for a fully-coupled fluid-structure interaction approach when modeling such complex behavior as a high explosive detonated in contact with a reinforced concrete column. Structural elements, such as beams and shells, have also been implemented for structural applications.
The ALE (Arbitrary Lagrangian-Eulerian) framework allows for a fully-coupled fluid-structure interaction approach when modeling such complex behavior as a high explosive detonated in contact with a reinforced concrete column. Structural elements, such as beams and shells, have also been implemented for structural applications.
This is an example of a fully-coupled fluid-structure interaction blast effects simulation. This simulation shows a small high explosive charge detonated in contact with a reinforced concrete column. The orange material is the high-explosive products. Completely damaged concrete is shown in red and undamaged concrete is shown in blue.
Void Collapse in Solids—Temperature field generated from void collapse in a solid material.
Temperature field generated from void collapse in a solid material. The ALE3D Explicit Hydro simulations capture formation of primary jet and secondary shock propagation.
ALE3D Papers and Presentations
|Austin, R.A., Barton, N.R., Reaugh, J.E., and Fried, L.E.||Direct numerical simulation of shear localization and decomposition reactions in shock-loaded HMX crystal||2015
|Journal of Applied Physics, Vol. 117, No. 18, 185902 (2015)|
|Boley, C.D., Khairallah, S.A., and Rubenchik, A.M.||Calculation of laser absorption by metal powders in additive manufacturing||2015
|Applied Optics, Vol. 54, Iss. 9, pp. 2477-2482 (2015)|
|Barton, N.R., Bernier, J.V., Lebebsohn, R.A., Boyce, D.E.||The use of discrete harmonics in direct multi-scale embedding of polycrystal plasticity||2015
|Computer Methods in Applied Mechanics and Engineering, Vol. 283, pp. 224-242|
|King, W., Anderson, A.T., Ferencz, R.M., Hodge, N.E., Kamath, C., and Khairallah, S.A.,||Overview of modelling and simulation of metal powder–bed fusion process at Lawrence Livermore National Laboratory||2014
|Materials Science and Technology (2014)|
|Khairallah, S.A., and Anderson, A.||Mesoscopic simulation model of selective laser melting of stainless steel powder||2014
|Journal of Materials Processing Technology,
Vol. 214, Issue 11, pp. 2627-2636
|Puso, M.A., Kokko, E., Settgast, R., Sanders, J., Simpkins, B., and Liu, B.||An embedded mesh method using piecewise constant multipliers with stabilization: mathematical and numerical aspects||2014
|International Journal for Numerical Methods in Engineering (Online Early View: to be published)|
|Barton, N.R., Rhee, M., Li, S.F., Bernier, J.V., Kumar, M., Lind, J.F., Bingert, J.F.||Using high energy diffraction microscopy to assess a model for microstructural sensitivity in spall response||2014||Journal of Physics: Conference Series, Vol. 500, Part 11, 112007|
|Austin, R.A., Barton, N.R., Howard, W.M., and Fried, L.E.||Modeling pore collapse and chemical reactions in shock-loaded HMX crystals||2014||Journal of Physics: Conference Series, Vol. 500, Part 5, 05202|
|McClelland, M.A., Glascoe, E.A., Nichols, A.L., Schofield, S.P., Springer, H.K.||ALE3D Simulation of Incompressible Flow, Heat Transfer, and Chemical Decomposition of Comp B in Slow Cookoff Experiments||2014
|LLNL-CONF-656112||International Detonation Symposium,
San Francisco, CA, United States
July 13-18, 2014
|Barton, N.R., Rhee, M.,||A multiscale strength model for tantalum over an extended range of strain rates||2013
|J. Appl. Phys., Vol. 114, No. 12, 123507 (2013)|
|Tringe, J.W., Kercher, J.R., Springer, H.K., Glascoe, E.A., Levie, H.W., Hsu, P., Willey, T. M. and Molitoris, J. D.||Numerical and experimental study of thermal explosions in LX-10 and PBX 9501: influence of thermal damage on deflagration processes||2013
|J. Appl. Phys., Vol. 114, 043504 (2013)|
|Rhee, M., Bernier, J.V., Li, S.F., Bingert, J., Lind, J., and Barton, N.R.,||Model Validation for Microstructural Sensitivities Using High Energy Diffraction Microscopy||2013
|TMS ICME, 2nd World Congress on Integrated Computational Materials Engineering, 2013|
|Banks, J.W., Henshaw, W.D., and Sjogreen, B.||A stable FSI algorithm for light rigid bodies in compressible flow||2013
|Journal of Computational Physics, Vol. 245, pp. 399–430 (2013)|
|Reaugh, J.E., Curtis, J.P., Maheswaran, M.A.||Computer simulations to study the effects of explosive and confinement properties on the deflagration-to-detonation transition (DDT)||2013
|LLNL-PROC-639618||Proceedings of the American Physical Society Topical Group Meeting on Shock Compression of Condensed Matter, Seattle, WA, July 7-12, 2013|
|White, B.W., Springer, H.K., and Reaugh J.E.||Computational studies of the skid test: Evaluation of the non-shock ignition of LX-10 using HERMES||2013
|Proceedings of the American Physical Society Topical Group Meeting on Shock Compression of Condensed Matter, Seattle, WA, July 7-12, 2013
Journal of Physics: Conference Series 500, (2014) 192021
|Springer, H.K., Tarver C.M., Reaugh J.E., and May, C.M.||Investigating short-pulse shock initiation in HMX-based explosives with reactive meso-scale simulations||2013
|Proceedings of the American Physical Society Topical Group Meeting on Shock Compression of Condensed Matter, Seattle, WA, July 7-12, 2013
Journal of Physics: Conference Series 500, (2014) 052041
|Reaugh, J.E.,||HERMES Model Modifications and Applications 2012||2013
|Barton, N.R., Arsenlis, A., Marian, J.,||A polycrystal plasticity model of strain localization in irradiated iron||2013
|Journal of the Mechanics and Physics of Solids, Vol. 61, No. 2, pp. 341–351 (2013)|
|Banks, J.W. and Sjogreen, B.||Stability of Finite Difference Discretizations of Multi-Physics Interface Conditions||2013||Commun. Comput. Phys., Vol. 13, No. 2, pp. 386-410 (2013)|
|Puso, M.A., Sanders, J., Settgast, R., Liu, B.||An embedded mesh method in a multiple material ALE||2012
|LLNL-JRNL-533451||Computer Methods in Applied Mechanics and Engineering Vol. 245–246, pp. 273–289 (Oct. 2012)|
|Barton, N.R., Bernier, J.V., Knap, J., Sunwoo, A.J., Cerreta, E., Turner, T.J.||A call to arms for task parallelism in multi-scale materials modeling||2011
|International Journal for Numerical Methods in Engineering, Vol. 86, No. 6, pp. 744–764|
|Barton, N.R., Bernier, J.V., Edmiston, J.K.||Bringing Together Computational and Experimental Capabilities at the Crystal Scale||2009
|LLNL-CONF-415155||Shock Compression of Condensed Matter 2009,
Nashville, TN, United States
June 28-July 3, 2009
|Moss, W.C., King, M.J., Blackman, E.G.||Skull Flexure from Blast Waves: A Mechanism for Brain Injury with Implications for Helmet Design||2009
|LLNL-JRNL-412717||Physical Review Letters Vol. 103, 108702|
|Barton, N.R., Winter, N.W., Reaugh, J.E.,||Defect evolution and pore collapse in crystalline energetic materials||2009
|Modelling and Simulation in Materials Science and Engineering, Vol. 17, No. 3, 035003|
|Leininger, L., Springer, H.K., Mace, J., Mas, E.||Modeling The Shock Initiation of PBX-9501 in ALE3D||2008
|LLNL-CONF-405174||MABS Conference, Oslo, Norway
September 1-5, 2008
|Leininger, L., Springer, H.K., Mace, J., Mas, E.||Modeling Three-Dimensional Shock Initiation of PBX 9501 in ALE3D||2008
|LLNL-CONF-405270||MABS Conference, Oslo, Norway
September 1-5, 2008
|Najjar, F.M., Solberg, J., White, D.||Verification Test Suite (VERTS) For Rail Gun Applications using ALE3D: 2-D Hydrodynamics & Thermal Cases||2008
|LLNL-TR-403164||NECDC 2008, Livermore CA|
|Bernier, J.V., Barton, N.R., Knap, J.||Polycrystal Plasticity Based Predictions of Strain Localization in Metal Forming||2008
|J. Eng. Mater. Technol., Vol. 130, No. 2, 021020 (Mar 27, 2008)|
|Barton, N.R., Knap, J., Arsenlis, A., Becker, R., Hornung, R.D., Jefferson, D.R.,||Embedded polycrystal plasticity and adaptive sampling||2008
|International Journal of Plasticity, Vol. 24, No. 2, Pages 242–266|
|Howard, W.M., McClelland, M.A., Nichols, A.L.||ALE3D Simulations of Gap Closure and Surface Ignition for Cookoff Modeling||2006
|UCRL-CONF-222367||13th International Detonation Symposium Norfolk, VA
July 23 - 28, 2006
|McClelland, M. A., Maienschein, J. L., Howard, W. M., deHaven, M. R.||ALE3D Simulation and Measurement of Violence in a Fast Cookoff Experiment for LX-10||2006
|UCRL-CONF-221624||JANNAF APS-CS-PSHS-Joint Meeting San Diego, CA
December 4 - 8, 2006
|Riordan, T.E.||ALE3D Rolling Simulations||2006
|J. Knap, J., McClelland, M. A., Maienschein, J. L., Howard, W. M., Nichols, A. L., deHaven, M. R., Strand, O. T.||Measurement and ALE3D Simulation of Violence in a Deflagration Experiment With LX-10 and Aermet-100 Alloy||2006
|UCRL-CONF-222438||13th International Detonation Symposium Norfolk, VA
July 23 - 28, 2006
|McClelland, M. A., Maienschein, J. L., Howard, W. M., Nichols, A. L., deHaven, M. R., Strand, O. T.||ALE3D Simulation of Heating and Violence in a Fast Cookoff Experiment with LX-10||2006
|UCRL-CONF-222465||13th International Detonation Symposium Norfolk, VA
July 23 - 28, 2006
|Wemhoff, A. P., Burnham, A. K.||Comparison of the LLNL ALE3D and AKTS Thermal Safety Computer Codes for Calculating Times to Explosion in ODTX and STEX Thermal Cookoff Experiments||2006
|Leininger, L.D.||Validation of Air-Backed Underwater Explosion Experiments with ALE3D||2005
|McClelland, M. A., Maienschein, J. L., Yoh, J.J., W. M., deHaven, M. R., Strand, O. T.||Measurements and ALE3D Simulations for Violence in a Scaled Thermal Explosion Experiment with LX-10 and AerMet 100 Steel||2005
|UCRL-CONF-212828||Joint Army-Navy-NASA-Air Force 40th Combustion Subcommittee/28th Airbreathing Propulsion Subcommittee/22nd Propulsion Systems Hazards Subcommittee/4th Modeling & Simulation Subcommittee Meeting Charleston, SC
June 13 - 17, 2005
|Nichols, A.L.||Species Diffusion in ALE3D||2005
October 4 - 7, 2004
|McClelland, M. A., Maienschein, J. L., Reaugh, J.E., Tran, T.D., Nichols, A.L., Wardell, J.F.||ALE3D Model Predictions and Experimental Analysis of the Cookoff Response of Comp B*||2003
|UCRL-CONF-201209||Joint Army Navy NASA Air Force (JANNAF) Meeting Colorado Springs, CO
December 1 - 5, 2003
|Nichols, A.L., Tarver, C.M., McGuire, E.M.||ALE3D Statistical Hot Spot Model Results for LX-17||2003 Jul 11||UCRL-JC-152203||American Physical Society Topical Conference on Shock Compression of Condensed Matter Portland, OR
July 20-25, 2003
|McClelland, M. A., Maienschein, J. L., Nichols, A.L., Wardell, J.F., Atwood, A.I., Curran, P.O.||ALE3D Model Predications and Materials Characterization for the Cookoff Response of PBXN-109||2002
|UCRL-JC-145756||Joint Army Navy NASA Air Force 38'h Combustions Subcommittee, 26'h Airbreathing Propulsion Subcommittee, 20th Propulsion Systems Hazards Subcommittee and 2"d Modeling and Simulation Subcommittee Joint Meeting, Destin, FL
April 8-12, 2002
|Ortega, J.||Laminar Validation Cases for the Incompressible Flow Model in ALE3D||2002
|McClelland, M. A., Tran, Cunningham, B.J., Weese, R.K., Maienschein, J. L.||Cookoff Response of PBXN-109: Material Characterization and ALE3D Thermal Predictions||2001
|UCRL- JC-144009-REV-1||Insensitive Munitions & Energetic Materials Technology Symposium, Saint-Malo, France
June 23 -27, 2003
|McClelland, M. A., Tran, Cunningham, B.J., Weese, R.K., Maienschein, J. L.||Cookoff Response of PBXN-109: Material Characterization and ALE3D Thermal Predictions||2000
|UCRL-JC-144009||50th Joint Army-Navy NASA Air Force (JANNAF) Propulsion Meeting, Salt Lake City, Utah
July 11-13, 2001
|Gerassimenko, M.||Test Problems for Reactive Flow HE Model in the ALE3D Code and Limited Sensitivity Study||2000
|McClelland, M. A., Tran, Cunningham, B.J., Weese, R.K., Maienschein, J. L.||Cookoff Response of PBXN-109: Material Characterization and ALE3D Model||2000
|UCRL-JC-138878||JANNAF CS/APS/PSHS Joint Meeting, Monterey, CA
November 13-17, 2000
|Futral, W.S., Dube, E., Neely, J.R., Pierce, T.G.||Performance of ALE3D on
the ASCI Machines
|UCRL-JC-132166||Nuclear Explosives Code Development Conference Las Vegas, Nevada
October 25 - 30, 1998
|Nichols, A.L., McCallen, R.C., Aro, C., Sharp, R., Neely, J.R.||Modeling Thermally Driven Energetic Response of High Explosives in ALE3D||1998
|UCRL-JC-133140||Nuclear Explosives Code Development Conference, Las Vegas, NV
Oct 25-30, 1998
|Dube, E.||Performance of ALE3D on the ASCI machines - Abstract||1998||UCRL-JC-132166-ABS|
|Couch, R., Faux, D.||Simulation of Underwater Explosion Benchmark Experiments with ALE3D||1997
|UCRL-JC-123819||Workshop on Simulation of Underwater Explosion Phenomena, Dunfermline, Scotland
ALE3D Structure and Performance
What's New in ALE3D
Fracture and Fragmentation Material Model Implementation
Void Seeding and Stress Relaxation during Fragmentation
Chemistry and Coupling to Cheetah Code
Implicit mechanics improvements stregthen ability to model cook-offs
Mesh generation improvements
Initial autocontact is available
Send e-mail ale3d-help [at] llnl.gov for more information about ALE3D.
ALE3D software is export controlled and official use only restrictions apply, so only requests from U.S. Department of Energy and Department of Defense sites and their contractors can be accepted.
If you are a current ALE3D license holder, there is limited access to ALE3D on our High Performance Computer Center (LC). To get access, you will need to establish a VPN account and be approved by the ALE3D project leader. Download, complete, and submit the following three forms.