![]() BatchOptions ( batch_queue = "example batch bot", # queue our batch bot is looking at for jobs sim_queue = "example sim bot", # queue our sim bot is looking at for jobs ) ofx_batch = OrcaFlexBatch ( "Example sensitivity batch", # name of the batch session = qfx, # qalx session we created earlier batch_options = batch_options, # options for this batch meta = " ), # add the model with a name that shows the segmentation load_case_info = dm. only refining the mesh near weak singularities in the mesh, such as sharp corners (See. TargetSegmentLength = 0.5 # initial segment length batch_options = dm. EndBZ = ( 0, 0, 0, 0 ) # put everything else at 0 line. ![]() The following basic steps are required: Create a mesh using the fewest, reasonable number of elements and analyze the model. Import OrcFxAPI as ofx # why so much typing? import numpy as np # need some numpy magic from qalx_re import QalxOrcaFlex, OrcaFlexBatch, ModelSource # core classes from qalx_orcaflex import data_models as dm # get data_models with little typing qfx = QalxOrcaFlex () # initialise a pyqalx session for OrcaFlex m = ofx. This article discusses how to perform a mesh convergence study manually, and is applicable to all types of models. Setting up the vessels for such a model using orcaflex is easy but not trivial, but in the end it is just book-keeping.
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