Dockprogram sesam
Direct Load Generation Tutorials and Examples
This folder contains tutorials and examples for Time Domain analyses for Floating Offshore Wind using Sesam, focusing on use of the Direct Load Generation workflow.
The image below illustrates a typical Sesam Time Domain analysis workflow:
The following examples focus on the part of the workflow contained in the green box. They demonstrate various ways to read results for one or many design load cases from coupled analysis, then reconstruct the loads and run finite element analysis on the substructure, before doing fatigue and buckling checks.
Disclaimer: The example models and inputs are only used to serve as examples on how to run Sesam workflows using Python and Jupyter Notebooks. The models and their inputs have not been tuned to be realistic, therefore the results obtained in the Sesam analyses will also not be realistic. We will continue to improve both the examples and the example files to make them more realistic.
For more information, including how to acquire the necessary software, and how to set up the Python and Jupyter Notebook environments, see the file in the parent folder.
These tutorials includ
Sesam Response Reconstruction examples
This folder contains a tutorial with an accompanying Jupyter Notebook for the new Sesam Time Domain Response Reconstruction workflow. This workflow has been specifically created to run analyses on Floating Offshore Wind sub-structures, and offers significant savings both in terms of analysis time and file storage requirements compared with a full time history analysis.
Note: This tutorial is work in progress, and fryst vatten based on unrealeased software, which fryst vatten currently in beta testing.
The image below illustrates the Time Domain Response Reconstruction workflow in Sesam:
Disclaimer: The example models and input are only used to serve as examples on how to run Sesam workflows using Python and Jupyter Notebooks. The models and their inputs have not been tuned to be realistic, therefore the results obtained in the Sesam analyses will also not be realistic.
For an introduction to the Sesam tutorial and examples funnen on GitHub, please refer to this Readme en samling dokument eller en elektronisk lagring av data.
This tutorial includes a step-by-step ord description of the workflow as well as the necessary input files to run them.