Skip to main content

engineering asset digital model(s) for life cycle analysis

Project description

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

dummy section

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

digitalmodel-0.0.9.tar.gz (224.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

digitalmodel-0.0.9-py3-none-any.whl (294.0 kB view details)

Uploaded Python 3

File details

Details for the file digitalmodel-0.0.9.tar.gz.

File metadata

  • Download URL: digitalmodel-0.0.9.tar.gz
  • Upload date:
  • Size: 224.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.19

File hashes

Hashes for digitalmodel-0.0.9.tar.gz
Algorithm Hash digest
SHA256 3ab679d0072096dcfd5c1c443f43916896b235406e8bf2ca8cef1086820f9901
MD5 993d0f5446e9f0890c582c58c01df96d
BLAKE2b-256 44c8b977c8f156ef42ea39990705b0ca4def189ebad47060fe2ddc714b8e2070

See more details on using hashes here.

File details

Details for the file digitalmodel-0.0.9-py3-none-any.whl.

File metadata

File hashes

Hashes for digitalmodel-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 9425f910357b445bb8d56e9b31bad608d96b9afeaf27636b1bb48b1fa18b73b3
MD5 79696f5f14a7641b44fec8919f540d7b
BLAKE2b-256 2c7d134019d0c4a503b7280c50dff1e35b417861960edf357ef8d1cefddaafd4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page