# -*- coding: mbcs -*-
from part import *
from material import *
from section import *
from assembly import *
from step import *
from interaction import *
from load import *
from mesh import *
from optimization import *
from job import *
from sketch import *
from visualization import *
from connectorBehavior import *
mdb.openStep('Z:/Desktop/WineGlass.stp', scaleFromFile=OFF)
mdb.models['Model-1'].PartFromGeometryFile(combine=False, dimensionality=
    THREE_D, geometryFile=mdb.acis, name='WineGlass', type=DEFORMABLE_BODY)
mdb.models['Model-1'].Material(name='Glass')
mdb.models['Model-1'].materials['Glass'].Elastic(table=((70000000000.0, 0.22), 
    ))
mdb.models['Model-1'].materials['Glass'].Density(table=((2500.0, ), ))
mdb.models['Model-1'].HomogeneousShellSection(idealization=NO_IDEALIZATION, 
    integrationRule=SIMPSON, material='Glass', name='GlassSection', 
    nodalThicknessField='', numIntPts=5, poissonDefinition=DEFAULT, 
    preIntegrate=OFF, temperature=GRADIENT, thickness=0.001, thicknessField='', 
    thicknessModulus=None, thicknessType=UNIFORM, useDensity=OFF)
mdb.models['Model-1'].parts['WineGlass'].Set(faces=
    mdb.models['Model-1'].parts['WineGlass'].faces.getSequenceFromMask((
    '[#7f ]', ), ), name='Set-1')
mdb.models['Model-1'].parts['WineGlass'].SectionAssignment(offset=0.0, 
    offsetField='', offsetType=MIDDLE_SURFACE, region=
    mdb.models['Model-1'].parts['WineGlass'].sets['Set-1'], sectionName=
    'GlassSection', thicknessAssignment=FROM_SECTION)
mdb.models['Model-1'].ImplicitDynamicsStep(initialInc=1e-05, maxNumInc=10000, 
    name='Dyznamic', noStop=OFF, nohaf=OFF, previous='Initial', 
    timeIncrementationMethod=FIXED, timePeriod=0.001)
mdb.models['Model-1'].rootAssembly.DatumCsysByDefault(CARTESIAN)
mdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='WineGlass-1', 
    part=mdb.models['Model-1'].parts['WineGlass'])
mdb.models['Model-1'].rootAssembly.Set(faces=
    mdb.models['Model-1'].rootAssembly.instances['WineGlass-1'].faces.getSequenceFromMask(
    ('[#40 ]', ), ), name='Set-1')
mdb.models['Model-1'].DisplacementBC(amplitude=UNSET, createStepName='Dyznamic'
    , distributionType=UNIFORM, fieldName='', fixed=OFF, localCsys=None, name=
    'FixedGround', region=mdb.models['Model-1'].rootAssembly.sets['Set-1'], u1=
    0.0, u2=0.0, u3=0.0, ur1=0.0, ur2=0.0, ur3=0.0)
mdb.models['Model-1'].TabularAmplitude(data=((0.0, 1.0), (0.0001, 0.0), (0.001, 
    0.0)), name='Tabular', smooth=SOLVER_DEFAULT, timeSpan=STEP)
mdb.models['Model-1'].rootAssembly.Set(name='Set-2', vertices=
    mdb.models['Model-1'].rootAssembly.instances['WineGlass-1'].vertices.getSequenceFromMask(
    ('[#4 ]', ), ))
mdb.models['Model-1'].ConcentratedForce(amplitude='Tabular', cf1=-0.1, 
    createStepName='Dyznamic', distributionType=UNIFORM, field='', localCsys=
    None, name='Finger', region=
    mdb.models['Model-1'].rootAssembly.sets['Set-2'])
mdb.models['Model-1'].parts['WineGlass'].seedPart(deviationFactor=0.1, 
    minSizeFactor=0.1, size=0.017)
mdb.models['Model-1'].parts['WineGlass'].generateMesh()
mdb.models['Model-1'].parts['WineGlass'].deleteMesh(regions=
    mdb.models['Model-1'].parts['WineGlass'].faces.getSequenceFromMask((
    '[#9 ]', ), ))
mdb.models['Model-1'].parts['WineGlass'].seedEdgeBySize(constraint=FINER, 
    deviationFactor=0.1, edges=
    mdb.models['Model-1'].parts['WineGlass'].edges.getSequenceFromMask((
    '[#802 ]', ), ), minSizeFactor=0.1, size=0.005)
mdb.models['Model-1'].parts['WineGlass'].generateMesh()
mdb.models['Model-1'].parts['WineGlass'].setElementType(elemTypes=(ElemType(
    elemCode=S8R, elemLibrary=STANDARD), ElemType(elemCode=STRI65, 
    elemLibrary=STANDARD)), regions=(
    mdb.models['Model-1'].parts['WineGlass'].faces.getSequenceFromMask((
    '[#7f ]', ), ), ))
mdb.models['Model-1'].rootAssembly.regenerate()
mdb.Job(atTime=None, contactPrint=OFF, description='', echoPrint=OFF, 
    explicitPrecision=SINGLE, getMemoryFromAnalysis=True, historyPrint=OFF, 
    memory=90, memoryUnits=PERCENTAGE, model='Model-1', modelPrint=OFF, 
    multiprocessingMode=DEFAULT, name='DynamicAnlysis', nodalOutputPrecision=
    SINGLE, numCpus=1, numGPUs=0, numThreadsPerMpiProcess=1, queue=None, 
    resultsFormat=ODB, scratch='', type=ANALYSIS, userSubroutine='', waitHours=
    0, waitMinutes=0)
# Save by burzio on 2025_12_16-18.11.21; build 2023 2022_09_28-20.11.55 183150
from part import *
from material import *
from section import *
from assembly import *
from step import *
from interaction import *
from load import *
from mesh import *
from optimization import *
from job import *
from sketch import *
from visualization import *
from connectorBehavior import *
mdb.jobs['DynamicAnlysis'].submit(consistencyChecking=OFF)
mdb.jobs['DynamicAnlysis']._Message(STARTED, {'phase': BATCHPRE_PHASE, 
    'clientHost': 'STI-Win11010', 'handle': 0, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(WARNING, {'phase': BATCHPRE_PHASE, 
    'message': '103 elements are curved/warped. The angle subtended between the average element normal and a nodal normal exceeds 10 degrees. Mesh refinement is recommended. The elements have been identified in element set WarnElemWarped.', 
    'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(ODB_FILE, {'phase': BATCHPRE_PHASE, 
    'file': 'C:\\temp\\DynamicAnlysis.odb', 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(COMPLETED, {'phase': BATCHPRE_PHASE, 
    'message': 'Analysis phase complete', 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STARTED, {'phase': STANDARD_PHASE, 
    'clientHost': 'STI-Win11010', 'handle': 9528, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STEP, {'phase': STANDARD_PHASE, 
    'stepId': 1, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(MEMORY_ESTIMATE, {'phase': STANDARD_PHASE, 
    'jobName': 'DynamicAnlysis', 'memory': 92.0})
mdb.jobs['DynamicAnlysis']._Message(PHYSICAL_MEMORY, {'phase': STANDARD_PHASE, 
    'physical_memory': 10240.0, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(MINIMUM_MEMORY, {'minimum_memory': 23.0, 
    'phase': STANDARD_PHASE, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 0, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(MEMORY_ESTIMATE, {'phase': STANDARD_PHASE, 
    'jobName': 'DynamicAnlysis', 'memory': 92.0})
mdb.jobs['DynamicAnlysis']._Message(PHYSICAL_MEMORY, {'phase': STANDARD_PHASE, 
    'physical_memory': 10240.0, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(MINIMUM_MEMORY, {'minimum_memory': 24.0, 
    'phase': STANDARD_PHASE, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(WARNING, {'phase': STANDARD_PHASE, 
    'message': 'There is zero MOMENT everywhere in the model based on the default criterion. please check the value of the average MOMENT during the current iteration to verify that the MOMENT is small enough to be treated as zero. if not, please use the solution controls to reset the criterion for zero MOMENT.', 
    'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 1e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 1, 'stepTime': 1e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(WARNING, {'phase': STANDARD_PHASE, 
    'message': 'There is zero MOMENT everywhere in the model based on the default criterion. please check the value of the average MOMENT during the current iteration to verify that the MOMENT is small enough to be treated as zero. if not, please use the solution controls to reset the criterion for zero MOMENT.', 
    'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 2e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 2, 'stepTime': 2e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 3e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 3, 'stepTime': 3e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 4e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 4, 'stepTime': 4e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 5e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 5, 'stepTime': 5e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 6e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 6, 'stepTime': 6e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 7e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 7, 'stepTime': 7e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 8e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 8, 'stepTime': 8e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 9e-05, 'attempts': 1, 
    'timeIncrement': 1e-05, 'increment': 9, 'stepTime': 9e-05, 'step': 1, 
    'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 1, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.0001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 10, 'stepTime': 0.0001, 
    'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00011, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 11, 
    'stepTime': 0.00011, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00012, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 12, 
    'stepTime': 0.00012, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00013, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 13, 
    'stepTime': 0.00013, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00014, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 14, 
    'stepTime': 0.00014, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00015, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 15, 
    'stepTime': 0.00015, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00016, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 16, 
    'stepTime': 0.00016, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00017, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 17, 
    'stepTime': 0.00017, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00018, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 18, 
    'stepTime': 0.00018, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00019, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 19, 
    'stepTime': 0.00019, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 2, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.0002, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 20, 'stepTime': 0.0002, 
    'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00021, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 21, 
    'stepTime': 0.00021, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00022, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 22, 
    'stepTime': 0.00022, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00023, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 23, 
    'stepTime': 0.00023, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00024, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 24, 
    'stepTime': 0.00024, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00025, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 25, 
    'stepTime': 0.00025, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00026, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 26, 
    'stepTime': 0.00026, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00027, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 27, 
    'stepTime': 0.00027, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00028, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 28, 
    'stepTime': 0.00028, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00029, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 29, 
    'stepTime': 0.00029, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 3, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.0003, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 30, 'stepTime': 0.0003, 
    'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00031, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 31, 
    'stepTime': 0.00031, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00032, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 32, 
    'stepTime': 0.00032, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00033, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 33, 
    'stepTime': 0.00033, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00034, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 34, 
    'stepTime': 0.00034, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00035, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 35, 
    'stepTime': 0.00035, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00036, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 36, 
    'stepTime': 0.00036, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00037, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 37, 
    'stepTime': 0.00037, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00038, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 38, 
    'stepTime': 0.00038, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00039, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 39, 
    'stepTime': 0.00039, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 4, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.0004, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 40, 'stepTime': 0.0004, 
    'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00041, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 41, 
    'stepTime': 0.00041, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00042, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 42, 
    'stepTime': 0.00042, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.00043, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 43, 
    'stepTime': 0.00043, 'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 
    'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000440000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 44, 
    'stepTime': 0.000440000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000450000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 45, 
    'stepTime': 0.000450000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000460000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 46, 
    'stepTime': 0.000460000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000470000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 47, 
    'stepTime': 0.000470000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000480000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 48, 
    'stepTime': 0.000480000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000490000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 5, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000500000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000510000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000520000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000530000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000540000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000550000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000560000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000570000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000580000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000590000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 6, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000600000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000610000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000620000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000630000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000640000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000650000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000660000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000670000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000680000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 68, 
    'stepTime': 0.000680000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000690000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 7, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000700000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 70, 
    'stepTime': 0.000700000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000710000000000001, 
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    'stepTime': 0.000710000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000720000000000001, 
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    'stepTime': 0.000720000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000730000000000001, 
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    'stepTime': 0.000730000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000740000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 74, 
    'stepTime': 0.000740000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000750000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 75, 
    'stepTime': 0.000750000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000760000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 76, 
    'stepTime': 0.000760000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000770000000000001, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 77, 
    'stepTime': 0.000770000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000780000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000790000000000001, 
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mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 8, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000800000000000001, 
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    'stepTime': 0.000800000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000810000000000001, 
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    'stepTime': 0.000810000000000001, 'step': 1, 'jobName': 'DynamicAnlysis', 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000820000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000830000000000002, 
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    'stepTime': 0.000830000000000002, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000840000000000002, 
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    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000850000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000860000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000870000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000880000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000890000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 9, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000900000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000910000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000920000000000002, 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000930000000000002, 
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    'stepTime': 0.000930000000000002, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000940000000000002, 
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    'stepTime': 0.000940000000000002, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000950000000000002, 
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    'stepTime': 0.000950000000000002, 'step': 1, 'jobName': 'DynamicAnlysis', 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000960000000000002, 
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    'stepTime': 0.000960000000000002, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000970000000000002, 
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    'stepTime': 0.000970000000000002, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000980000000000002, 
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    'stepTime': 0.000980000000000002, 'step': 1, 'jobName': 'DynamicAnlysis', 
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mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.000990000000000002, 
    'attempts': 1, 'timeIncrement': 1e-05, 'increment': 99, 
    'stepTime': 0.000990000000000002, 'step': 1, 'jobName': 'DynamicAnlysis', 
    'severe': 0, 'iterations': 1, 'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(ODB_FRAME, {'phase': STANDARD_PHASE, 
    'step': 0, 'frame': 10, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(STATUS, {'totalTime': 0.001, 'attempts': 1, 
    'timeIncrement': 9.99999999999807e-06, 'increment': 100, 'stepTime': 0.001, 
    'step': 1, 'jobName': 'DynamicAnlysis', 'severe': 0, 'iterations': 1, 
    'phase': STANDARD_PHASE, 'equilibrium': 1})
mdb.jobs['DynamicAnlysis']._Message(END_STEP, {'phase': STANDARD_PHASE, 
    'stepId': 1, 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(COMPLETED, {'phase': STANDARD_PHASE, 
    'message': 'Analysis phase complete', 'jobName': 'DynamicAnlysis'})
mdb.jobs['DynamicAnlysis']._Message(JOB_COMPLETED, {
    'time': 'Tue Dec 16 18:11:50 2025', 'jobName': 'DynamicAnlysis'})
# Save by burzio on 2025_12_16-18.12.30; build 2023 2022_09_28-20.11.55 183150