Code Orcaflex.Import base64 import OrcFxAPI as ofx import dash import dash_core_components as dcc import dash_html_components as html import pandas as pd import plotly.express as px from dash.dependencies import Input , Output , State from qalx_orcaflex import data_models as dm from qalx_orcaflex. The objective is to provide relief from batch-by-batch seed health evaluations by describing the. Flexcom (Version 8.6) and DeepRiser (Version 5.2) by Wood Group support SHEAR7. Flexcom is in the process of updating their SHEAR7 version support. FileSource: adds a single file as a source. ModelSource: adds an OrcFxAPI.Model object.
Flexcom and DeepRiser can read drag amplification factors from SHEAR7 output in analyses including current loading this is typically of most importance in interference or clearance analyses, particularly in the context of wake interference where the effect of VIV- enhanced drag on one or both of the upstream and downstream structures Tool which allows syncing of OrcaFlex simulation files to the cloud and back to local drives. Flexcom provides a further level of sophistication for the downstream structure analysis, in that users can tell Flexcom to repeatedly recalculate the modal solution for the downstream structure and to rerun SHEAR7 based on this solution as the wake interference analysis proceeds in this way the effect of the actual current velocity ‘seen’ by that structure and the resulting tension distribution in the downstream structure can be accurately monitored. DeeRiser v5.2 now contains a new SHEAR7 VIV component called “VIV Fatigue Analysis.” This new component allows users to run SHEAR7 directly from DeepRiser and automates the process of setting up and running a large number of VIV fatigue load cases. Encode ( x = "arc" , y = "y" , color = "stat" ) st. For obvious reasons the last.Import OrcFxAPI as ofx import altair as alt import numpy as np import pandas as pd import streamlit as st from dateutil.parser import parse import qalx_orcaflex.data_models as dm from qalx_orcaflex.core import OrcaFlexBatch , ModelSource , QalxOrcaFlex def rg_case ( value , arc , units , case ): return f " " ) chart = alt.
You will need to point to this from all your models It will ask you where you want to copy the post calculation action script. It will ask you to enter your cloud key details, bucket and the region that your bucket is based in
Orcaflex Batch Post Processing Update The Local
Post-calculation actionsIn every model you want to sync you must specify a Post calculation action. If you lose the key file there will be no way to decrypt the simulation files stored in the cloud.Now you have configured ofxcs you can start to sync simulations to the cloud. Encryption allows you to ensure that your stored simulation files can only ever be read by people in your company.This is done with a key file, you can generate these with: ofxcs keygenThis will save a key file and optionally it will update the local config to point to the key file.IMPORTANT: You should only do this once for your company and then share the key file internally and have each user configure their system with this key file. See section below for more details.Access to your bucket is restricted only to people who have access to the cloud key and secret and the administrator of the cloud account. It will ask you if you have a key file.
You start by adding the folders that you specified in the models: ofxcs add -folder my_ofx_projectThere is no need to add the folders every time you start the sync, it will remember which folders you want.You can then run the sync command: ofxcs syncThe syncing operation will continue until you stop it by killing the process or pressing CRTL+C. Local syncNow you want to sync them to you local machine. * ' ( )With ofxcs configured and post calculations specified, simulations run in batch processing or distributed OrcaFlex will be automatically uploaded to the cloud. The folder name can contain only alphanumeric and the following special characters: ! - _. This is how your simulations will be organised in the cloud. It might be easier to move the file to somewhere like C:\pca_ofx2cloud.py so it will be consistent on all machines.You also need to add a tag on General of FOLDER in every model.
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