cyclic loading

 can anybody help in the application of the cyclic loading? I'm trying to analyze dynamic effect of the structure WRT time.

 

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Comments

  • WenlongWenlong CanonsburgMember
    edited March 18

    Hi Santrondela,

    You can create in excel a table, with the first column your time and second column your load amplitude, then paste that table into the Load amplitude in Ansys Mechanical.

    Regards,

    Wenlong

  • santrondelasantrondela IndiaMember
    edited March 23

    Thanks Wenlong.

    there is one more thing in which i need your help. which is when I'm applying gravity load and running for the solutions it take so long time.

    If you'll help help in it. it'll very helpful please reply fast. because I'm running out of time.

     

     

  • peteroznewmanpeteroznewman Member
    edited March 23

    You will have to provide a lot more detail about your model if you want help making it solve in less time.

    One way to make a Transient Structural model solve in less time is if you can accept a linear analysis. This means no nonlinear contact, no nonlinear material and no large deflections.  If you can accept those limitations, then you can use a Modal Superposition (MSUP) Transient Structural model. That will solve in a small fraction of the time it takes to solve a full Transient Structural model.

  • santrondelasantrondela IndiaMember
    edited March 23

    Thank you  Mr. peteroznewman

    but thing is that I'm performing a non-linear study so I've to go through it anyhow.

    And sure whatever you need I'll provide you regard my geometry.

    first thing i want to mention that, it is imported from solidworks.

     

  • santrondelasantrondela IndiaMember
    edited March 23
  • santrondelasantrondela IndiaMember
    edited March 23

    here is the some info regard my geometry & I'm conducting a time-history analysis

  • WenlongWenlong CanonsburgMember
    edited March 23

    Hi santrondela,

     

    So it is an RC structure under earthquake loading? What is the total number of your elements and how long does it take to solve? Do you have a damage model in your concrete material? How do the rebar and concrete interact with each other? Considering the geometric complexity and the nonlinearity, it could make sense it takes a long time to run. 

    Regards,

    Wenlong

     

  • santrondelasantrondela IndiaMember
    edited March 23

    Thank you Wenlong for reply.

    yes it is a RC structure under eq loading & elements are 5087195, and it doesn't solve yet.

    I've not yet applied damage model but yes i do have one for now I'm applying standard gravity load and one side fixed and one end is friction-less and column upper face is under axial loading.

    after some changes I've run the meshing for the part it shows the warning "One or more surfaces or surface boundaries might not be oriented correctly."

    and after solving this error

    "At least one contact pair has no elements in it.  This may be due to mesh defeaturing.  Please modify defeaturing settings which are accessible on the Mesh object.  Alternatively, set the variable "contactAllowEmpty" to 1 in order to allow the solution to proceed with a warning which can be used to identify the offending pair(s)."

    i didn't understood why it is so?

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

  • WenlongWenlong CanonsburgMember
    edited March 25

    Hi Sant,

    Wow, you have 5 million elements LOL! I won't be surprised at all that it takes a long time to run. Your concrete element mesh looks quite coarse, so I guess the mesh around the rebars is really small. Did you use solid elements or beam elements for the rebar? If using beam elements the contact between the rebar and concrete is a bit tricky (Please refer to this post: https://studentcommunity.ansys.com/thread/error-contact/), but it can probably make your element number drop down significantly. 

     

    Regards,

    Wenlong

     

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  • santrondelasantrondela IndiaMember
    edited March 27

    Hello Wenlong

    I've reduced it up to 1076255 but still I'm facing the same problem.

    And about modal I've had done modeling  in solidworks.

  • WenlongWenlong CanonsburgMember
    edited March 27

    Hi Sant,

    Oh, I am not asking what software you use to create the geometry, but what element type you use for the rebars, solid or beam? This is just out of curiosity as I'd like to know how do you bond the rebar and the concrete together because for beam elements, it would be a bit difficult. 

    For the mesh,  I would usually do a metrics check to make sure my mesh quality is good. Again may not be directly related to your problem but it is a practice I would do. You can find more information at: https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/v201/en/wb_msh/msh_metrics.html?q=mesh%20metrics . It can help you get an idea of whether you have some geometric defects (such as small faces or small edges) that caused an extremely fine mesh in some regions. 

    If your geometry do have some small faces or edges, you may use the "repair" tool in Spaceclaim to fix it before importing to Mechanical: https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/v201/en/spaceclaim/Discovery/user_manual/repair_overview.html?q=spaceclaim%20geometry%20repair

    Regards,

    Wenlong

     

    ------------------------- Useful Links ----------------------------

     

     

     

     

  • santrondelasantrondela IndiaMember
    edited March 28

    An internal solution magnitude limit was exceeded. Please check your Environment for inappropriate load values or insufficient supports.  Also check that your mesh has more than 1 element in at least 2 directions if solid brick elements are present.  Please see the Troubleshooting section of the Help System for more information.

  • santrondelasantrondela IndiaMember
    edited March 28

    Hello Wenlong

    actually i didn't use any command to connect both of them. what should i do about that?

    is there anyway?

  • santrondelasantrondela IndiaMember
    edited March 31

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    * ANSYS, Inc. or its subsidiaries under a software license *
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    * compliance with exporting laws, warranties, disclaimers, *
    * limitations of liability, and remedies, and other *
    * provisions. The software products and documentation may be *
    * used, disclosed, transferred, or copied only in accordance *
    * with the terms and conditions of that software license *
    * agreement. *
    * *
    * ANSYS, Inc. is a UL registered *
    * ISO 9001:2008 company. *
    * *
    ***************************************************************
    * *
    * This product is subject to U.S. laws governing export and *
    * re-export. *
    * *
    * For U.S. Government users, except as specifically granted *
    * by the ANSYS, Inc. software license agreement, the use, *
    * duplication, or disclosure by the United States Government *
    * is subject to restrictions stated in the ANSYS, Inc. *
    * software license agreement and FAR 12.212 (for non-DOD *
    * licenses). *
    * *
    ***************************************************************
    Release 16.0
    Point Releases and Patches installed:
    ANSYS, Inc. Products Release 16.0
    ANSYS Mechanical Products Release 16.0
    ANSYS Customization Files for User Programmable Features Release 16.0
    ANSYS Autodyn Release 16.0
    ANSYS LS-DYNA Release 16.0
    ANSYS AIM Release 16.0
    ANSYS CFX (includes ANSYS CFD-Post) Release 16.0
    ANSYS Fluent (includes ANSYS CFD-Post) Release 16.0
    ANSYS TurboGrid Release 16.0
    ANSYS Polyflow (includes ANSYS CFD-Post) Release 16.0
    ANSYS CFD-Post only Release 16.0
    ANSYS ICEM CFD Release 16.0
    ANSYS Aqwa Release 16.0
    ANSYS Composite PrepPost Release 16.0
    ANSYS Icepak (includes ANSYS CFD-Post) Release 16.0
    ANSYS Remote Solve Manager Standalone Services Release 16.0
    Catia, Version 6 Release 16.0
    ANSYS, Inc. License Manager Release 16.0
    ***** ANSYS COMMAND LINE ARGUMENTS *****
    BATCH MODE REQUESTED (-b) = NOLIST
    INPUT FILE COPY MODE (-c) = COPY
    SHARED MEMORY PARALLEL REQUESTED
    SINGLE PROCESS WITH 2 THREADS REQUESTED
    TOTAL OF 2 CORES REQUESTED
    START-UP FILE MODE = NOREAD
    STOP FILE MODE = NOREAD
    RELEASE= Release 16.0 BUILD= 16.0 UP20141203 VERSION=WINDOWS x64
    CURRENT JOBNAME=file 11:51:08 MAR 31, 2020 CP= 1.469
    PARAMETER _DS_PROGRESS = 999.0000000
    /INPUT FILE= ds.dat LINE= 0
    DO NOT WRITE ELEMENT RESULTS INTO DATABASE
    *GET _WALLSTRT FROM ACTI ITEM=TIME WALL VALUE= 11.8525000
    TITLE=
    Solver

  • santrondelasantrondela IndiaMember
    edited March 31

    without wire--Static Structural (A5)
    SET PARAMETER DIMENSIONS ON _WB_PROJECTSCRATCH_DIR
    TYPE=STRI DIMENSIONS= 248 1 1
    PARAMETER _WB_PROJECTSCRATCH_DIR(1) = G: hesis solidansys26.3.20203.57_ProjectScratchScr20AA
    SET PARAMETER DIMENSIONS ON _WB_SOLVERFILES_DIR
    TYPE=STRI DIMENSIONS= 248 1 1
    PARAMETER _WB_SOLVERFILES_DIR(1) = G: hesis solidansys26.3.20203.57without wire_filesdp0SYSMECH
    SET PARAMETER DIMENSIONS ON _WB_USERFILES_DIR
    TYPE=STRI DIMENSIONS= 248 1 1
    PARAMETER _WB_USERFILES_DIR(1) = G: hesis solidansys26.3.20203.57without wire_filesuser_files
    --- Data in consistent NMM units. See Solving Units in the help system for more
    MPA UNITS SPECIFIED FOR INTERNAL
    LENGTH = MILLIMETERS (mm)
    MASS = TONNE (Mg)
    TIME = SECONDS (sec)
    TEMPERATURE = CELSIUS (C)
    TOFFSET = 273.0
    FORCE = NEWTON (N)
    HEAT = MILLIJOULES (mJ)
    INPUT UNITS ARE ALSO SET TO MPA
    *** ANSYS - ENGINEERING ANALYSIS SYSTEM RELEASE Release 16.0 16.0 ***
    ANSYS Multiphysics
    00000000 VERSION=WINDOWS x64 11:51:09 MAR 31, 2020 CP= 1.609
    without wire--Static Structural (A5)
    ***** ANSYS ANALYSIS DEFINITION (PREP7) *****
    *********** Nodes for the whole assembly ***********
    *********** Elements for Body 1 "Solid" ***********
    *********** Elements for Body 2 "Solid" ***********
    *********** Elements for Body 3 "Solid" ***********
    *********** Elements for Body 4 "Solid" ***********
    *********** Elements for Body 5 "Solid" ***********
    *********** Elements for Body 6 "Solid" ***********
    *********** Elements for Body 7 "Solid" ***********
    *********** Elements for Body 8 "Solid" ***********
    *********** Elements for Body 9 "Solid" ***********
    *********** Elements for Body 10 "Solid" ***********
    *********** Elements for Body 11 "Solid" ***********
    *********** Elements for Body 12 "Solid" ***********
    *********** Elements for Body 13 "Solid" ***********
    *********** Elements for Body 14 "Solid" ***********
    *********** Elements for Body 15 "Solid" ***********
    *********** Elements for Body 16 "Solid" ***********
    *********** Elements for Body 17 "Solid" ***********
    *********** Elements for Body 18 "Solid" ***********
    *********** Elements for Body 19 "Solid" ***********
    *********** Elements for Body 20 "Solid" ***********
    *********** Elements for Body 21 "Solid" ***********
    *********** Send User Defined Coordinate System(s) ***********
    *********** Set Reference Temperature ***********
    *********** Send Materials ***********
    *********** Create Contact "Bonded - Multiple To Solid" ***********
    Real Constant Set For Above Contact Is 23 & 22
    *********** Fixed Supports ***********
    ******* Constant Zero Displacement X *******
    ******* Constant Zero Displacement Z *******
    *********** Define Pressure Using Surface Effect Elements ***********
    LIST DATA TABLE DMGE FOR MATERIAL 20
    *** ANSYS - ENGINEERING ANALYSIS SYSTEM RELEASE Release 16.0 16.0 ***
    ANSYS Multiphysics
    00000000 VERSION=WINDOWS x64 11:518 MAR 31, 2020 CP= 35.906
    without wire--Static Structural (A5)
    DMG EVLU (DMGE) Table For Material 20
    Material Prop Degradation
    1
    Temps 0.0000000e+000
    FIBR TEN 7.5100000e-001
    FIBR CMP 5.0000000e-001
    MATX TEN 8.0000000e-001
    MATX CMP 5.0000000e-001
    -------- 0.0000000e+000
    -------- 0.0000000e+000
    ***** ROUTINE COMPLETED ***** CP = 35.969
    --- Number of total nodes = 1485655
    --- Number of contact elements = 1030253
    --- Number of spring elements = 0
    --- Number of bearing elements = 0
    --- Number of solid elements = 682036
    --- Number of total elements = 1712289
    *GET _WALLBSOL FROM ACTI ITEM=TIME WALL VALUE= 11.8605556
    ****************************************************************************
    ************************* SOLUTION ********************************
    ****************************************************************************
    ***** ANSYS SOLUTION ROUTINE *****

  • santrondelasantrondela IndiaMember
    edited March 31

    PERFORM A STATIC ANALYSIS
    THIS WILL BE A NEW ANALYSIS
    LARGE DEFORMATION ANALYSIS
    USE PRECONDITIONED CONJUGATE GRADIENT SOLVER
    CONVERGENCE TOLERANCE = 1.00000E-08
    MAXIMUM ITERATION = NumNode*DofPerNode* 1.0000
    MEMORY SAVING OPTION TURNED ON FOR PCG SOLVER
    CONTACT INFORMATION PRINTOUT LEVEL 1
    NLDIAG: Nonlinear diagnostics CONT option is set to ON.
    Writing frequency : each ITERATION.
    DEFINE RESTART CONTROL FOR LOADSTEP LAST
    AT FREQUENCY OF LAST AND NUMBER FOR OVERWRITE IS 0
    DELETE RESTART FILES OF ENDSTEP
    ****************************************************
    ******************* SOLVE FOR LS 1 ****************
    SELECT FOR ITEM=TYPE COMPONENT=
    IN RANGE 24 TO 24 STEP 1
    2117 ELEMENTS (OF 1712289 DEFINED) SELECTED BY ESEL COMMAND.
    SELECT ALL NODES HAVING ANY ELEMENT IN ELEMENT SET.
    4814 NODES (OF 1485655 DEFINED) SELECTED FROM
    2117 SELECTED ELEMENTS BY NSLE COMMAND.
    GENERATE SURFACE LOAD PRES ON SURFACE DEFINED BY ALL SELECTED NODES
    SET ACCORDING TO TABLE PARAMETER = _LOADVARI18224
    NUMBER OF PRES ELEMENT FACE LOADS STORED = 2117
    ALL SELECT FOR ITEM=NODE COMPONENT=
    IN RANGE 1 TO 1485655 STEP 1
    1485655 NODES (OF 1485655 DEFINED) SELECTED BY NSEL COMMAND.
    ALL SELECT FOR ITEM=ELEM COMPONENT=
    IN RANGE 1 TO 1712289 STEP 1
    1712289 ELEMENTS (OF 1712289 DEFINED) SELECTED BY ESEL COMMAND.
    *********** Create Acceleration ***********
    SET PARAMETER DIMENSIONS ON _ACELX TYPE=TABL DIMENSIONS= 2 1 1
    TIME
    PARAMETER _ACELX(1,0,1) = 0.000000000
    PARAMETER _ACELX(2,0,1) = 1.000000000
    PARAMETER _ACELX(1,1,1) = 0.000000000
    PARAMETER _ACELX(2,1,1) = 0.000000000
    SET PARAMETER DIMENSIONS ON _ACELY TYPE=TABL DIMENSIONS= 2 1 1
    TIME
    PARAMETER _ACELY(1,0,1) = 0.000000000
    PARAMETER _ACELY(2,0,1) = 1.000000000
    PARAMETER _ACELY(1,1,1) = 0.000000000
    PARAMETER _ACELY(2,1,1) = 9806.650000
    SET PARAMETER DIMENSIONS ON _ACELZ TYPE=TABL DIMENSIONS= 2 1 1
    TIME
    PARAMETER _ACELZ(1,0,1) = 0.000000000
    PARAMETER _ACELZ(2,0,1) = 1.000000000
    PARAMETER _ACELZ(1,1,1) = 0.000000000
    PARAMETER _ACELZ(2,1,1) = 0.000000000
    ACELX IS SET ACCORDING TO TABLE PARAMETER = _ACELX
    ACELY IS SET ACCORDING TO TABLE PARAMETER = _ACELY
    ACELZ IS SET ACCORDING TO TABLE PARAMETER = _ACELZ
    ALL SELECT FOR ITEM=ELEM COMPONENT=
    IN RANGE 1 TO 1712289 STEP 1
    1712289 ELEMENTS (OF 1712289 DEFINED) SELECTED BY ESEL COMMAND.
    PRINTOUT RESUMED BY /GOP
    USE AUTOMATIC TIME STEPPING THIS LOAD STEP
    USE 5 SUBSTEPS INITIALLY THIS LOAD STEP FOR ALL DEGREES OF FREEDOM
    FOR AUTOMATIC TIME STEPPING:
    USE 1000 SUBSTEPS AS A MAXIMUM
    USE 1 SUBSTEPS AS A MINIMUM
    TIME= 1.0000
    ERASE THE CURRENT DATABASE OUTPUT CONTROL TABLE.
    WRITE ALL ITEMS TO THE DATABASE WITH A FREQUENCY OF NONE
    FOR ALL APPLICABLE ENTITIES
    WRITE NSOL ITEMS TO THE DATABASE WITH A FREQUENCY OF ALL

  • santrondelasantrondela IndiaMember
    edited March 31

    FOR ALL APPLICABLE ENTITIES
    WRITE RSOL ITEMS TO THE DATABASE WITH A FREQUENCY OF ALL
    FOR ALL APPLICABLE ENTITIES
    WRITE STRS ITEMS TO THE DATABASE WITH A FREQUENCY OF ALL
    FOR ALL APPLICABLE ENTITIES
    WRITE EPEL ITEMS TO THE DATABASE WITH A FREQUENCY OF ALL
    FOR ALL APPLICABLE ENTITIES
    WRITE EPPL ITEMS TO THE DATABASE WITH A FREQUENCY OF ALL
    FOR ALL APPLICABLE ENTITIES
    WRITE AESO ITEMS TO THE DATABASE WITH A FREQUENCY OF ALL
    FOR ALL APPLICABLE ENTITIES
    NONLINEAR STABILIZATION CONTROL:
    KEY=OFF
    KEY TO TERMINATE RUN IF NO CONVERGENCE= 1
    DEGREE OF FREEDOM (DISPLACEMENT) LIMIT= 0.78886E-30
    CUMULATIVE ITERATION LIMIT= 0
    ELAPSED TIME LIMIT (SEC)= 0.0000 ( 0 HOURS 0 MIN)
    CPU TIME LIMIT (SEC)= 0.0000 ( 0 HOURS 0 MIN)
    *GET ANSINTER_ FROM ACTI ITEM=INT VALUE= 0.00000000
    *IF ANSINTER_ ( = 0.00000 ) NE
    0 ( = 0.00000 ) THEN
    *ENDIF
    ***** ANSYS SOLVE COMMAND *****
    *** WARNING *** CP = 42.953 TIME= 11:51:45
    Element shape checking is currently inactive. Issue SHPP,ON or
    SHPP,WARN to reactivate, if desired.
    *** NOTE *** CP = 57.188 TIME= 11:51:55
    The model data was checked and warning messages were found.
    Please review output or errors file ( G: hesis
    solidansys26.3.20203.57_ProjectScratchScr20AAfile.err ) for
    these warning messages.
    *** SELECTION OF ELEMENT TECHNOLOGIES FOR APPLICABLE ELEMENTS ***
    --- GIVE SUGGESTIONS AND RESET THE KEY OPTIONS ---
    ELEMENT TYPE 1 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 2 IS SOLID186. KEYOPT(2)=0 IS SUGGESTED AND HAS BEEN RESET.
    KEYOPT(1-12)= 0 0 0 0 0 0 0 0 0 0 0 0
    ELEMENT TYPE 3 IS SOLID186. KEYOPT(2)=0 IS SUGGESTED AND HAS BEEN RESET.
    KEYOPT(1-12)= 0 0 0 0 0 0 0 0 0 0 0 0
    ELEMENT TYPE 4 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 5 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 6 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 7 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 8 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 9 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 10 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 11 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 12 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 13 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 14 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 15 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 16 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 17 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 18 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 19 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 20 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.
    ELEMENT TYPE 21 IS SOLID187. IT IS NOT ASSOCIATED WITH FULLY INCOMPRESSIBLE
    HYPERELASTIC MATERIALS. NO SUGGESTION IS AVAILABLE AND NO RESETTING IS NEEDED.

  • santrondelasantrondela IndiaMember
    edited March 31

    *** ANSYS - ENGINEERING ANALYSIS SYSTEM RELEASE Release 16.0 16.0 ***
    ANSYS Multiphysics
    00000000 VERSION=WINDOWS x64 11:51:56 MAR 31, 2020 CP= 57.922
    without wire--Static Structural (A5)
    S O L U T I O N O P T I O N S
    PROBLEM DIMENSIONALITY. . . . . . . . . . . . .3-D
    DEGREES OF FREEDOM. . . . . . UX UY UZ
    ANALYSIS TYPE . . . . . . . . . . . . . . . . .STATIC (STEADY-STATE)
    OFFSET TEMPERATURE FROM ABSOLUTE ZERO . . . . . 273.15
    NONLINEAR GEOMETRIC EFFECTS . . . . . . . . . .ON
    EQUATION SOLVER OPTION. . . . . . . . . . . . .PCG
    MEMORY SAVING OPTION. . . . . . . . . . . .ON
    TOLERANCE. . . . . . . . . . . . . . . . . . 1.00000E-08
    PLASTIC MATERIAL PROPERTIES INCLUDED. . . . . .YES
    NEWTON-RAPHSON OPTION . . . . . . . . . . . . .PROGRAM CHOSEN
    GLOBALLY ASSEMBLED MATRIX . . . . . . . . . . .SYMMETRIC
    *** WARNING *** CP = 59.734 TIME= 11:51:58
    Material number 23 (used by element 682037 ) should normally have at
    least one MP or one TB type command associated with it. Output of
    energy by material may not be available.
    *** NOTE *** CP = 66.375 TIME= 11:52:06
    The step data was checked and warning messages were found.
    Please review output or errors file ( G: hesis
    solidansys26.3.20203.57_ProjectScratchScr20AAfile.err ) for
    these warning messages.
    *** NOTE *** CP = 66.375 TIME= 11:52:06
    This nonlinear analysis defaults to using the full Newton-Raphson
    solution procedure. This can be modified using the NROPT command.
    *** NOTE *** CP = 66.375 TIME= 11:52:06
    The conditions for direct assembly have been met. No .emat or .erot
    files will be produced.
    L O A D S T E P O P T I O N S
    LOAD STEP NUMBER. . . . . . . . . . . . . . . . 1
    TIME AT END OF THE LOAD STEP. . . . . . . . . . 1.0000
    AUTOMATIC TIME STEPPING . . . . . . . . . . . . ON
    INITIAL NUMBER OF SUBSTEPS . . . . . . . . . 5
    MAXIMUM NUMBER OF SUBSTEPS . . . . . . . . . 1000
    MINIMUM NUMBER OF SUBSTEPS . . . . . . . . . 1
    MAXIMUM NUMBER OF EQUILIBRIUM ITERATIONS. . . . 15
    STEP CHANGE BOUNDARY CONDITIONS . . . . . . . . NO
    STRESS-STIFFENING . . . . . . . . . . . . . . . ON
    TERMINATE ANALYSIS IF NOT CONVERGED . . . . . .YES (EXIT)
    NODAL DOF SOLUTION LIMIT. . . . . . . . . . . . 0.78886E-30
    CONVERGENCE CONTROLS. . . . . . . . . . . . . .USE DEFAULTS
    INERTIA LOADS X Y Z
    ACEL . . . . . . . . . . . ._ACELX _ACELY _ACELZ
    COPY INTEGRATION POINT VALUES TO NODE . . . . .YES, FOR ELEMENTS WITH
    ACTIVE MAT. NONLINEARITIES
    PRINT OUTPUT CONTROLS . . . . . . . . . . . . .NO PRINTOUT
    DATABASE OUTPUT CONTROLS
    ITEM FREQUENCY COMPONENT
    ALL NONE
    NSOL ALL
    RSOL ALL
    STRS ALL
    EPEL ALL
    EPPL ALL
    AESO ALL
    SOLUTION MONITORING INFO IS WRITTEN TO FILE=
    file.mntr
    *** NOTE *** CP = 742.922 TIME= 12:03:28
    It is highly recommended to use the auto contact setting option by
    issuing CNCHECK,AUTO command for this problem in order to achieve
    better convergence.
    *** NOTE *** CP = 742.922 TIME= 12:03:28
    Symmetric Deformable- deformable contact pair identified by real
    constant set 22 and contact element type 22 has been set up. The
    companion pair has real constant set ID 23. Both pairs should have
    the same behavior.
    ANSYS will deactivate the current pair and keep its companion pair,
    resulting in asymmetric contact.
    Contact algorithm: Augmented Lagrange method
    Contact detection at: Gauss integration point
    Contact stiffness factor FKN 10.000
    The resulting initial contact stiffness 0.14457E+06
    Default penetration tolerance factor FTOLN 0.10000
    The resulting penetration tolerance 0.49471
    Default opening contact stiffness OPSF will be used.
    Default tangent stiffness factor FKT 1.0000
    Default elastic slip factor SLTOL 0.50000E-02
    The resulting elastic slip 0.45970E-01
    Update contact stiffness at each iteration
    Default Max. friction stress TAUMAX 0.10000E+21
    Average contact surface length 9.1939
    Average contact pair depth 4.9471
    Default pinball region factor PINB 0.50000
    The resulting pinball region 2.4736
    Initial penetration/gap is excluded.
    Bonded contact (always) is defined.
    *** NOTE *** CP = 742.922 TIME= 12:03:28
    No contact was detected for this contact pair.

  • santrondelasantrondela IndiaMember
    edited March 31

    ****************************************
    *** NOTE *** CP = 742.922 TIME= 12:03:28
    Symmetric Deformable- deformable contact pair identified by real
    constant set 23 and contact element type 22 has been set up. The
    companion pair has real constant set ID 22. Both pairs should have
    the same behavior.
    ANSYS will keep the current pair and deactivate its companion pair,
    resulting in asymmetric contact.
    Contact algorithm: Augmented Lagrange method
    Contact detection at: Gauss integration point
    Contact stiffness factor FKN 10.000
    The resulting initial contact stiffness 0.14457E+06
    Default penetration tolerance factor FTOLN 0.10000
    The resulting penetration tolerance 4.1502
    Default opening contact stiffness OPSF will be used.
    Default tangent stiffness factor FKT 1.0000
    Default elastic slip factor SLTOL 0.50000E-02
    The resulting elastic slip 0.27899
    Update contact stiffness at each iteration
    Default Max. friction stress TAUMAX 0.10000E+21
    Average contact surface length 55.797
    Average contact pair depth 41.502
    Default pinball region factor PINB 0.50000
    The resulting pinball region 20.751
    *** NOTE *** CP = 742.922 TIME= 12:03:28
    One of the contact searching regions contains at least 7814 target
    elements. You may reduce the pinball radius.
    Initial penetration/gap is excluded.
    Bonded contact (always) is defined.
    *** NOTE *** CP = 742.922 TIME= 12:03:28
    Max. Initial penetration 160.848824 was detected between contact
    element 1703168 and target element 716308.
    You may move entire target surface by : x= 160.848824, y= 0, z= 0,to
    reduce initial penetration.
    *WARNING*: The detected penetration is larger than the pair based
    pinball. Please verify the pinball radius carefully.
    *WARNING*: The geometric gap/penetration may be too large. Increase
    pinball radius if it is a true geometric gap/penetration. Decrease
    pinball if it is a false one.
    *WARNING*: The initial penetration/gap is relatively large. Bonded/no
    separation option may cause an accuracy issue. Switch to MPC
    algorithm or you may use the CNCHECK,ADJUST command to move the
    contact nodes towards the target surface.
    ****************************************
    MAXIMUM NUMBER OF EQUILIBRIUM ITERATIONS HAS BEEN MODIFIED
    TO BE, NEQIT = 26, BY SOLUTION CONTROL LOGIC.
    *** NOTE *** CP = 760.297 TIME= 12:03:47
    The PCG solver has automatically set the level of difficulty for this
    model to 2.
    *************************************************
    SUMMARY FOR CONTACT PAIR IDENTIFIED BY REAL CONSTANT SET 22
    *** NOTE *** CP = 1020.969 TIME= 12:07:24
    Contact pair is inactive.
    *** NOTE *** CP = 1021.016 TIME= 12:07:24
    One of the contact searching regions contains at least 384 target
    elements. You may reduce the pinball radius (current value
    20.7507507) for contact pair identified by real constant set 23 to
    speed up contact searching.
    *********** PRECISE MASS SUMMARY ***********
    TOTAL RIGID BODY MASS MATRIX ABOUT ORIGIN
    Translational mass | Coupled translational/rotational mass
    6.8789 0.0000 0.0000 | 0.0000 2233.7 -15.061
    0.0000 6.8789 0.0000 | -2233.7 0.0000 5888.2
    0.0000 0.0000 6.8789 | 15.061 -5888.2 0.0000
    ------------------------------------------ | ------------------------------------------
    | Rotational mass (inertia)
    | 0.36483E+07 -10322. -0.19125E+07
    | -10322. 0.12946E+08 -4844.8
    | -0.19125E+07 -4844.8 0.14656E+08
    TOTAL MASS = 6.8789
    The mass principal axes coincide with the global Cartesian axes
    CENTER OF MASS (X,Y,Z)= 855.99 2.1894 324.73
    TOTAL INERTIA ABOUT CENTER OF MASS
    0.29229E+07 2569.9 -429.81
    2569.9 0.71801E+07 45.811
    -429.81 45.811 0.96154E+07
    The inertia principal axes coincide with the global Cartesian axes
    *** MASS SUMMARY BY ELEMENT TYPE ***
    TYPE MASS
    1 0.315569
    2 0.115511E-01
    3 0.115511E-01
    4 0.150892
    5 0.248904E-01
    6 0.835647E-02
    7 0.835166E-02
    8 0.827129E-02
    9 0.827458E-02
    10 0.830644E-02

  • santrondelasantrondela IndiaMember
    edited March 31

    11 0.835362E-02
    12 0.121986E-03
    13 0.121216E-03
    14 0.121862E-03
    15 0.121892E-03
    16 0.121814E-03
    17 0.121239E-03
    18 0.121878E-03
    19 0.121988E-03
    20 0.122401E-03
    21 6.31341
    Range of element maximum matrix coefficients in global coordinates
    Maximum = 526768871 at element 562821.
    Minimum = 117109.031 at element 1704882.
    *** ELEMENT MATRIX FORMULATION TIMES
    TYPE NUMBER ENAME TOTAL CP AVE CP
    1 342575 SOLID187 152.000 0.000444
    2 1540 SOLID186 2.297 0.001491
    3 1540 SOLID186 2.031 0.001319
    4 199080 SOLID187 93.984 0.000472
    5 42619 SOLID187 21.281 0.000499
    6 1737 SOLID187 0.672 0.000387
    7 1834 SOLID187 0.984 0.000537
    8 1700 SOLID187 1.000 0.000588
    9 1760 SOLID187 0.719 0.000408
    10 1724 SOLID187 0.641 0.000372
    11 1721 SOLID187 0.797 0.000463
    12 8539 SOLID187 3.266 0.000382
    13 6827 SOLID187 2.875 0.000421
    14 8175 SOLID187 3.406 0.000417
    15 8196 SOLID187 3.250 0.000397
    16 8256 SOLID187 3.344 0.000405
    17 6793 SOLID187 2.297 0.000338
    18 8203 SOLID187 3.234 0.000394
    19 8224 SOLID187 5.094 0.000619
    20 9386 SOLID187 4.125 0.000439
    21 11607 SOLID187 5.609 0.000483
    22 514068 CONTA174 91.656 0.000178
    23 514068 TARGE170 43.453 0.000085
    24 2117 SURF154 0.531 0.000251
    Time at end of element matrix formulation CP = 1021.03125.
    ALL CURRENT ANSYS DATA WRITTEN TO FILE NAME= file.rdb
    FOR POSSIBLE RESUME FROM THIS POINT
    FORCE CONVERGENCE VALUE = 0.8532E+06 CRITERION= 4353.
    curEqn= 420828 totEqn= 420828 Job CP sec= 1460.685
    Factor Done= 100% Factor Wall sec= 0.000 rate= 0.0 Mflops
    *** ERROR *** CP = 1070.719 TIME= 12:17:07
    Preconditioned conjugate gradient solver error level 1. Possibly, the
    model is unconstrained or additional iterations may be needed. Try
    running setting the multiplier MULT on the EQSLV command to greater
    than 1.0 (but less than 3.0).
    PRECONDITIONED SOLVER CP TIME = 251.812
    PRECONDITIONED SOLVER ELAPSED TIME = 251.812
    *** NOTE *** CP = 1071.172 TIME= 12:17:09
    During this loadstep the PCG iterative solver took more than 1000
    iterations to solve the system of equations. In the future it may be
    more efficient to choose a direct solver, such as the SPARSE solver,
    for this analysis.
    NUMBER OF WARNING MESSAGES ENCOUNTERED= 2
    NUMBER OF ERROR MESSAGES ENCOUNTERED= 1
    ***** PROBLEM TERMINATED BY INDICATED ERROR(S) OR BY END OF INPUT DATA *****
    *** WARNING *** CP = 1072.000 TIME= 12:17:21
    During this session the elapsed time exceeds the CPU time by 70%.
    Often this indicates either a lack of physical memory (RAM) required
    to efficiently handle this simulation or it indicates a particularly
    slow hard drive configuration. This simulation can be expected to run
    faster on identical hardware if additional RAM or a faster hard drive
    configuration is made available. For more details, please see the
    ANSYS Performance Guide which is part of the ANSYS Help system.
    +--------------------- A N S Y S S T A T I S T I C S ------------------------+
    Release: Release 16.0 Build: 16.0 Update: UP20141203 Platform: WINDOWS x64
    Date Run: 03/31/2020 Time: 12:17
    Windows Process ID: 11656
    Processor Model: Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz
    Compiler: Intel(R) FORTRAN Compiler Version 14.0.0 (Build: 20140422)
    Intel(R) C/C++ Compiler Version 14.0.0 (Build: 20140422)
    Intel(R) Math Kernel Library Version 11.1.3 Product Build 20140917
    Total number of cores available : 8
    Number of physical cores available : 4
    Number of processes requested : 1
    Number of threads per process requested : 2
    Total number of cores requested : 2 (Shared Memory Parallel)
    GPU Acceleration: Not Requested
    Job Name: file
    Working Directory: G: hesis solidansys26.3.20203.57_ProjectScratchScr20AA
    Total CPU time for main thread : 926.9 seconds
    Total CPU time summed for all threads : 1072.0 seconds
    Elapsed time spent pre-processing model (/PREP7) : 28.8 seconds
    Elapsed time spent solution - preprocessing : 42.8 seconds

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