SIMULIA Simulating Fracture

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    6 SIMULIA Realistic Simulation News September/October 2011 www.simulia.com

    Customer Case Study

    Simulating Fracture with AbaqusCo-simulation with XFEM technology evaluates safety of hand grenade drop

    It’s a common enough moment. Oneperson sighs after a lost game or a missed

    pitch, “It was close,” and another will reply,“‘Close’ only counts in horseshoes and handgrenades.”

    But ‘close’ doesn’t count at all for designinga hand grenade. The weapon musthave proven reliability and predictableperformance even when subject to roughhandling or accidental dropping. Realisticsimulation with finite element analysis (FEA)can be a powerful tool for helping establishthose safeguards.

    At the U.S. Army Armament Research,Development and Engineering Center(ARDEC) at Picatinny Arsenal in New Jersey,design engineers are constantly exploringways to refine their use of FEA to verifydesign strength. They recently evaluatedthe eXtended Finite Element Method (XFEM)technology in Abaqus. The XFEM enrichedenvironment can be used to look closely atfracture failure (a mode of material breakageunder a load), even when the cracks don’tfollow element boundaries. No matter howfinely meshed, a standard FEA model onlysimulates cracks as they propagate alongelement boundaries. But XFEM is a powerfultool for accurately modeling “the cracks thatfall in the cracks” between elements.

    ARDEC engineers were already using Abaqus to model design behavior, sincemany of their loading scenarios involvehighly dynamic, transient events. As such,

    ARDEC engineers are well versed in the useof Abaqus/Explicit, SIMULIA’s best-in-classtransient simulation software. However,

    XFEM works only in Abaqus/Standard, so for

    the most complete picture of fracture failure,the designers turned to a technique calledco-simulation—simultaneously runningtwo different solvers on the same model.

    This gave them the best of both worlds: XFEM accuracy in an implicit analysis,and simulation over time in an explicitenvironment.

    To prove out their analysis approach, theengineers simulated a drop test of an M67fragmentation grenade—the type currentlyused by the U.S. military (Figure 1). Inphysical tests, the grenade is dropped inseveral orientations to ensure safety andfunctionality (Figure 2).

    Looking for a worst-case scenario, the ARDEC engineers ran an explicit analysisand discovered that the highest stressoccurred when the grenade hit the groundon the upper corner of the safety handle.

    Also the material failure model was modified

    to simulate the effect of substandard material. The stress concentration in the notchedregion of the handle, near the safety pin,was selected as an area of interest.

    For this analysis, engineers modeled thehandle with an elastic-plastic material modelusing the properties of ASTM A109 Steel(Table 1). All other grenade materials weremodeled as linear elastic.

    They then formulated a material failuresimulation (Table 2) using the maximumprincipal stress criteria (“Maxps Damage”in Abaqus). Starting the analysis at thebeginning of the drop, with a downwardvelocity of zero and continuous acceleration,would have been complex and time-consuming. It was also unnecessary;during the downward fall, nothing importanthappens to the grenade. Instead, theengineers modeled the grenade at themoment before impact and used its finalvelocity. The grenade hit with a damageenergy of 5.3 kiloNewtons/meter (almost1200 lb./meter) after being dropped froma height of 1.219 meters—roughly theheight of an object held at arm’s length. Thegrenade assembly was deformable, but theimpact surface was rigid and constrained inall directions.

    To ensure accuracy, the designers meshedthe handle model very finely (four elementsthick) and carefully lined up the mesh in theimplicit and explicit boundary regions. Thenotched area on the handle (where fractureoccurred) was the XFEM enriched zone. Itwas kept small to eliminate the possibilityof XFEM elements near the co-simulationboundary.

    Yield Strength, MPa 305.3

    Ultimate Tensile Strength, MPa 437.7

    Young’s Modulus, GPa 204.8

    Strain at Ultimate Failure, percent 18.0

    Poisson’s ratio 0.29

    Density kg/m3 7,823.0

    ASTM A109 SteelMaxps Damage Maximum Principal Stress: 345 MPa

    Damage Evolution Type: Energy

    Softening: Linear

    Degradation: Maximum

    Mixed mode behavior: Mode-Independent

    Mode mix ratio: Energy

    Fracture Energy: 5.3 kN/mTable 1. Material Properties, M67 Handle

    Table 2. Material Failure Model

    Safety Pin

    Safety Clip(Confidence Clip)

    SafetyHandle

    Figure 1. M67 hand grenade

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    7SIMULIA Realistic Simulation News September/October 2011www.simulia.com

    For More Information www.pica.army.milwww.simulia.com/cust_ref

    For More Information www.pica.army.milwww.simulia.com/XFEM

    Figure 2. Abaqus simulation of a drop test showing notched area of the safety handle (in green), analyzed using

    XFEM technique and showing crack formation

    View 1

    Displacement Plots

    View 2

    Co-simulationImplicit Dynamics

    Deformed elements at co-simulation boundary

    Three analyses were used to validate theco-simulation method (Figures 2-3):

    • In the first, Abaqus/Standard and XFEMwere used to analyze a continuouslymeshed model of the handle.

    • The second split the model in two,running dynamic analyses in Abaqus/ Standard with tied regions to anenhanced XFEM region. The two-partstructure would later facilitate co-simulation.

    • The final analysis was the co-simulateddrop test. Most of the model wasanalyzed in Abaqus/Explicit. The area ofinterest on the handle was still modeledin implicit so that the XFEM techniquecould be applied.

    The run time for the co-simulation wasdramatically reduced from the implicitdynamic analysis: 10 minutes for co-

    simulation versus 6 hours for the implicitanalysis.

    Afterward, the ARDEC engineers comparedsimulation results by plotting averagesfor eight elements in the area of concernon the grenade handle. Charts of theaveraged results for plastic equivalentstrain (Peeq) and Von Mises stress showedthat the stress values between the tiedimplicit model and the co-simulation modelmatched well. Crack growth in the secondand third analyses was similar as well.

    Subsequently, the engineers were able

    to fine-tune the co-simulation analysis ina number of ways. They used matchingmeshes at the co-simulation boundariesbecause, if the nodes were not nearlycoincident, no loads would be applied tothem. Starting both analyses with the sameinitial time step improved the convergenceof the implicit XFEM analysis. And keepingthe XFEM enriched area away from theco-simulation interaction boundary alsopromoted convergence and preventedcracks from starting right at the boundary.

    Co-simulation enabled the ARDECengineers to retain their preferred explicit

    Figure 3. Side-by-side comparisons of the implicit dynamics and the co-simulation analyses, showing the areasof element deformation at the co-simulation boundary.

    The run time for the co-simulation was dramaticallyreduced from the implicitdynamic analysis: 10minutes for co-simulationversus 6 hours for theimplicit analysis.

    environment for transient analysesand augment it with the fracture failurecapabilities of XFEM in implicit. Thesignificant run-time savings will help

    ARDEC continue to explore the potentialof using co-simulation in the future. Inaddition to simulating drop tests with

    XFEM, ARDEC engineers are interestedin using it for concrete penetration, gunlaunch, recoil, and interaction of gunsupports with the ground.