Floating Wind Time Domain

This tutorial uses a floating OWT structure (EMULF Delta Floater) to perform a time history FLS analysis using the Response Reconstruction method. Fatigue screening is performed to identify areas with high fatigue damage in the model, and a fatigue hot spot analysis is performed according to DNV-RP-C203.

The tutorial contains the following steps:

• Setting up the model and fatigue hot spot and screening data in GeniE
• Setting up the input for the precompute step to calculate unit-load, unit-motion and unit-wave structure responses in HydroD and executing the precompute step in Sesam Wind Manager
• Setting up the design load cases and performing the reconstruction step and FLS analysis in Sesam Wind Manager, using results from a previously executed coupled analysis in Sima
• Inspecting results in tables in Sesam Wind Manager and visualising the results on the 3D model in Sesam Insight

This tutorial uses a floating OWT structure (OC4) to perform a time history FLS analysis using the Direct Load Generation method. Fatigue screening is performed to identify areas with high fatigue damage in the model, and a fatigue hot spot analysis is performed according to DNV-RP-C203.

The tutorial contains the following steps:

• Setting up the model and fatigue hot spot and screening data in GeniE
• Setting up the design load cases and performing the FLS analysis in Sesam Wind Manager, including running the load generation and structural analysis, using results from a previously executed coupled analysis in either Bladed or Sima
• Inspecting results in tables in Sesam Wind Manager and visualising the results on the 3D model in Sesam Insight

This is a tutorial covering a floating offshore wind turbine (FOWT) structure time history buckling analysis. The plate verification is done according to the DNV RP-C201 using the stiffener capacity model therein referred to as SCM2. This tutorial covers the use of the Time Domain Response Reconstruction method.

The following versions (or higher) of official Sesam applications are required to complete the tutorial:

• GeniE 8.12
• HydroD 9.0
• Wadam 10.4
• Sestra 10.20
• Sesam Core 5.1.

This tutorial shows how to set up buckling check of a simple plate model with girders and stiffeners and a short time-varying load, to then perform a buckling check of the stiffeners according to the stiffener capacity model referred to as SCM2 in DNV-RP-C201.

The tutorial contains the following steps:

• Setting up the model, loading and capacity model in GeniE
• Performing the structural analysis and buckling check using Sesam Core (including Sestra) and inspecting the results

The tutorial files contain a Jupyter Notebook that demonstrates how to combine HydroD’s graphical user interface (GUI) with its Python API, enabling you to set up, customize, run, and automate analysis workflows seamlessly across both environments.

The goal of this example is to help you:

• Understand how HydroD can be accessed and manipulated through Python API.
• Learn best practices for integrating Python scripting into your Sesam workflows.
• Explore automation techniques to simplify complex engineering tasks.

The notebook contains two examples:

• Example 1: How to modify the workspace and execute an analysis using Python directly within a Jupyter Notebook.
• Example 2: How to experiment with the Python API, explore its functionality, and create automation scripts to streamline workflows.

How do I get the software and how to get started?

1. A Jupyter notebook viewer is required, we recommend using Visual Studio Code. If you have not used Jupyter notebooks in VS Code before, we recommend reading Jupyter Notebooks in VS Code.
   After downloading and installing VS Code, please install the following VS Code extensions:
   • Python Extension – To enhance your Python experience in VS Code.
   • Jupyter Notebook Extension – To seamlessly integrate Jupyter notebooks with VS Code.
2. Open the Jupyter notebook and follow the instructions described in the notebook.

This example explains how Python can be used to translate results from an OrcaFlex results file into input files that can be used in Sesam. The example code OrcaFlex2Sesam can be run both as a Python script on the command line, and as a Jupyter Notebook, both of which are provided. The example code uses the OrcaFlex Python interface to extract data from an OrcaFlex analysis.

This script targets using results data from a coupled analysis in OrcaFlex in Sesam’s time domain workflows for Floating Offshore Wind. Motions, auxiliary forces (from turbine and mooring lines), waves and wave components are converted. These can then be used in Sesam with the goal to perform a structural analysis and post-processing of the floater.

A brief introduction to the use of Sesam data in OrcaFlex and OrcaWave is also included.

The latest script version now supports low-frequency horizontal drift motion and yaw correction, these outputs can then be used in certain Sesam FOWT workflows (e.g., Time Domain Load Reconstruction using Wasim 7.2 and later).

This tutorial explains how to use the Load Reconstruction method in HydroD and Wasim with a user defined loading condition and including Morison loads.

The verification report compares results from Direct Load Generation (both Linear and Non-linear) and Load Reconstruction for the VolturnUS-S 15MW platform. The suitability of the different methods is assessed by comparing the residual forces on the model. Additionally, selected panel pressure time-series are compared with those obtained from an external software.

This tutorial explains how to set up Direct Load Generation and Load Reconstruction methods through HydroD, Wadam and Wasim, and provides a comparison of the methods.