Design Optimization - Parametric Design of Semi-Submersibles FINAL_tcm4-614982

8/11/2019 Design Optimization - Parametric Design of Semi-Submersibles FINAL_tcm4-614982

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DNV GL © 2014 29 September 2014

SAFER, SMARTER, GREENERDNV GL © 2014

29 September 2014

Jan Land

SOFTWARE

Design Optimization

1

Parametric Design of Semi-Submersibles




Agenda

Sesam CAESES in the design processParametric modelling of semi-submersibles

Automated shape variation

Demo

Q & A

2




Traditional CAD

Traditional Simulation(for validation & verification only)

Upfront CAE Upfront CAD

Upfront Simulation

Upfront Optimization

Concept Initial DesignDefinition &

DevelopmentDetailedDesign

Verification(digital & physical

prototype)Production

Upfront CAE with CAESES

Parametric modelling and optimization




Upfront CAD

• Simulation-ready

• Variable geometry

• Pre-processing (for CFD)

• Highly automated

CAESES – Upfront CAE System Empowering Simulation

Upfront Simulation

• Fast, accurate, scalable

•

Robust auto meshing• Batch processing


• Post-processing of large sets

• Design explorations

• Formal optimization

• Assessment tools




Parametric Design of a Semi-Submersible

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Variable

Geometry

Pre-

processing

Software

Connection

Post-

processing

Optimization &

Assessment

Wide variety of topological arrangements

Large selection of local shape attributes (sections, footprints, bow shape, …)





8

Approach:

Store frequently reoccurring elements of semi-submersible design in a library

Let CAESES assemble the parts according to user input

Example: Corner element in ring pontoon configuration





9

Procedure:

Specify topology and overall dimensions

– Twin pontoon / Closed array pontoon configuration

– Number and Position of Columns

– LOA, BOA, Draft, …

Define detailed shape attributes and local dimensions

– Section / Profile shapes

– Edge radii





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Setting up the topology





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Specifying local shape attributes





14

Specifying local shape attributes





15

Create bracing elements





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All models created within less than 20 minutes





17

All models created within less than 20 minutes





19

All resulting models are fully parametric and ready for

automated shape variation





20

IGES FEM STL

Variable

Geometry

Pre-

processing

Software

Connection

Post-

processing

Optimization &

Assessment





21

FEM format export for

seamless compatibilitywith Sesam software

products

Mesh refinement

parameterized by

maximum panel edge

length





22

STL format export for

many commercial andin-house simulation

tools

Mesh refinement easily

controllable via

tessellation error

tolerance




Simulation in a Sea-State

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Variable

Geometry

Pre-

processing

Software

Connection

Post-

processing

Optimization &

Assessment




Automated Shape Variation

24

Variable

Geometry

Pre-

processing

Software

Connection

Post-

processing

Optimization &

Assessment

Compare automatically created designs and their performance





25

Variable

Geometry

Pre-

processing

Software

Connection

Post-

processing

Optimization &

Assessment

Understand physical context of design variables better





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Variable

Geometry

Pre-

processing

Software

Connection

Post-

processing

Optimization &

Assessment

Run formal optimization based on CAESES’ built-in algorithms




Summary

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Simulation-Driven Design / Upfront CAE

– helps to improve quality AND shortens the design process

Automated shape variation and optimization

– Greater numbers of simulated designs and robust optimization algorithmsimprove the product’s performance

– Easy comprehension of correlations between design parameters and their

physical impact

Fully Parametric Geometry

– Overcoming the bottleneck of creating fully parametric models is crucial to

maximize time savings

– Utilization of modular construction kit approach is one way to drastically

reduce modelling time

– Requires flexible CAE platform tailored towards Simulation-Driven Design




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Q&A

Request for presentation materials, demo, quote or

training, please contact: [email protected]

28

mailto:[email protected]

mailto:[email protected]

Design Optimization - Parametric Design of Semi-Submersibles FINAL_tcm4-614982

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