digitalmodel

Introduction

Sustainable Digital models for engineering assets built with sustainable engineering processes and solutions. The objective of digital models is to utilize a single source of ascii inputs (promoting single source of truth) to generate equivalent analytical models to encompass lifecycle operations of a product.

These operations include (and not limited to) the following:

• Analytical calculations
• Computational analysis
• 3D CAD models
  • 3D animations
  • Drawing automation

Dedicated to my idol and a lifelong chief engineer, Mark Cerkovnik. His insights shaped major portions of my life and this repository.

Summary

• High level vision proposed:

The library is intended to get traction from stretched engineering teams. Teams using this can take away some good ideas generated from leading/mentoring over 200 SURF engineers over 20 years of hands-on engineering experience. The main objectives of the library are:

• Single ascii data source of truth: generate fe models, analytical calculations, 3d cad models, 3d animations, drawings using a single source of truth
• Modularity : engineering assets can be imported into sofware using .yml files
• Standardize naming conventions: for cross-team/company collaboration
• Reusability of components: do once, use many times
• Analytical QA: If certain tasks can be done analytically, verify the outputs from analytical calculations vs. Orcaflex outputs. eg: Weights of components expected vs. model
• A major impact will be in the QA of the work for the end users as well as the responsible leads.
• Avoid excel to eliminate manual steps. Helps in automation of tasks and no/less room for error.

Usage

Using the Repository:

• The repository is intended to be used as a library for engineering assets. The library is intended to be used by engineers to generate analytical models, computational models, 3D CAD models, 3D animations, and drawings.
• The repository is organized in following key folders:
  • docs: Contains the documentation for the library
  • src: Contains the source code for the library
  • src/tests: Contains the test cases for the library

A quick way to running code is: - Create a virtual environment: - Use conda yaml file to create a new environment - (or) by installing digitalmodel package in an environment

• Run the following batch files
  • Download this digitalmodel repository
  • activate environment
  • Change command line to "digitalmodel" (outside not in src) folder
    • Run the following python files in tests:
      • python src\digitalmodel\tests\ {change_to_relevant}.py
      • i.e. for catenary riser, python src\digitalmodel\tests\test_catenary_riser.py
    • (or) Run the following batch files in tests:
      • python src\digitalmodel\tests\ {change_to_relevant}.bat
      • i.e. for catenary riser, python src\digitalmodel\tests\test_catenary_riser.bat

Assets

SALM

SALM (Single Anchor Line Mooring)

Relevant files:

• python src\digitalmodel\tests\test_fea_model_salm_buoy_01.py
• python src\digitalmodel\tests\test_fea_model_salm_buoy_02.py

Ships or vessels

Light Service Vessels Intervention vessels

Risers

Catenary Risers (SCR, SLWR)

SCR - Simple Catenary Riser SLWR - Simple Lazy Wave Riser

Relevant files:

• python src\digitalmodel\tests\test_catenary_riser.py
• python src\digitalmodel\tests\test_catenary_riser.bat

Pipelines

Flexibles or Umbilicals

Umbilicals

Rigid Jumpers

Example Software Runs

OrcaFlex

Relevant files:

• python src\digitalmodel\tests\test_orcaflex_analysis.py

Calculations

Time Series

Statics

• Fast Fourier Transform analysis as follows:
  • FFT
  • iFFT
  • Peak energy frequency
  • Perform signal integration

References

Manufacturing/Fabrication

ProdSim python packages ProdSim Background: An Open-source Python Package for Generating High-resolution Synthetic Manufacturing Data on Product, Machine and Shop-Floor Levels