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All Projects → audunarn → ANYstructure

audunarn / ANYstructure

Licence: MIT license
ANYstructure is the ultimate steel structure design tool for plate fields and cylinders. Weight optimization for all structures with machine learning capabilities. Calculations are based on DNV standards and rules.

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python
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Labels

platesoptimization-toolsfatigue-analysisanalysis-frameworkstructural-engineeringgirdernaval-architecturednvgl-os-c101design-of-offshore-steel-structuresbucklingplate-thicknessbeam-sectiongui-baseddnvgl-rp-c201dnvgl-rp-c203cylindersdnv-os-c101

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ANYstructure

ANYstructure is the ultimate steel structure design tool for plate fields and cylinders! Weight optimization for all structures with machine learning capabilities. Calculations are based on DNV standards and rules.

What's new in 4.2

  • Bug fixing.
  • Ukraininan theme.

What's new in 4.0

  • Cylinder design and optimization!
  • Flat plate prescriptive buckling improved. Girder calculation added.
  • Updated GUI with color themes.

What's new in 3.3

  • Extremely efficient Machine Learning version of PULS called ML-CL. Implemented for all optimizer options.
  • Calculation of Center of Gravity and Center of Buoyancy.
  • Reporting of weights and COG.
  • Lots of bug fixes.

The following is calculated:

  • Minimum plate thickness (DNV-OS-C101)
  • Minimum section modulus of stiffener/plate (DNVGL-OS-C101)
  • Minimum shear area (DNVGL-OS-C101)
  • Buckling (DNVGL-RP-C201)or PULS (licenced DNV software)
  • Buckling strength of shells DNV-RP-C202
  • PULS buckling (DNV license needed)
  • Machine learning buckling, PULS based
  • Fatigue for plate/stiffener connection (DNVGL-RP-C203)

Compartments (tank pressures) are created automatically.

Pressures on external hull (or any other generic location) is defined by specifying equations.

You can optimize cylinders, single plate/stiffener field or multiple. Geometry of double bottom can be optimized.

PLEASE CONTRIBUTE. REPORT BUGS ERRORS ETC. For windows executable (.exe) version for non-coders, use the link below.

Feedback: [email protected] or discuss on github.

Please like, share or comment on LinkedIn: https://www.linkedin.com/in/audun-arnesen-nyhus-6aa17118/

Screenshot (this example can be loaded from file "ship_section_example.txt"):

picture

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