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Abaqus load cases for frequency analysis....

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gregf84

Mechanical
Joined
Feb 20, 2013
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Hello,
I am trying to convert an Abaqus Standard 3D model to an Opticstruct model and I have not used Abaqus for 14 years, so I am unfamiliar with the load cases for Abaqus. I am using Hypermesh to view the Abaqus model. When I look at the Abaqus model in Hypermesh, I see the following: StepParameters (has checkmark), Increment (has checkmark), Nlgeom (has checkmark), Static Riks_Stabilize dataline (has checkmark). Therefore these options are to be in effect for the Abaqus model analysis. In more detail the Abaqus model has the following cards: *STEP, INC =100, NLGEOM =yes, *STATIC Init_Inc =0.1, T_Period=1.0, Minlncr = 1.0e-06, SPC_Load.1, *Control, Parameters = time Incremention I_O, I_R, I_P, I_C, I_L, I_G, I_S, I_A, *Node file, Frequency =10, U, *El File, Frequency = 20, SINV, *END STEP
Can anyone tell me exactly what is this analysis be in the Abaqus model? It looks like a normal modes analysis but normal modes is typically a linear analysis in Optistruct and the Abaqus model has a nonlinear card specified? I want to try and run in Opticstruct an analysis that is similar to or the same as was specified in the Abaqus model.
 
Based on what you wrote, it looks like it's doing a Rik's Buckling analysis. The "frequency" terms you see are controlling the output frequency of the results. For a frequency analysis, you would want a *FREQUENCY step rather than a *STATIC step. Check the Abaqus manual for more information.
 
Hello zwtipp05,
Thanks for the feedback. I do not have a manual for Abaqus. I do not even have the solver for Abaqus. I only want to convert so that I can run the model in Opticstruct if possible. I am relying on my memory of Abaqus from 14 years back. Is riks buckling a nonlinear geomtery buckling method? The Abaqus model specifies NlGeom=yes. I am wondering if this can be simulated in Opticstruct.
 
I haven't even heard of opticstruct, so can't help you there. You should be able to find Abaqus documentation with a minimal Googling effort
 
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