| Reference : Ship Structure Optimization Using CAD/FEM Integration |
| Scientific congresses and symposiums : Paper published in a book | |||
| Engineering, computing & technology : Civil engineering | |||
| http://hdl.handle.net/2268/121060 | |||
| Ship Structure Optimization Using CAD/FEM Integration | |
| English | |
Amrane, Amirouche [Université de Liège - ULg > Département Argenco : Secteur TLU+C > ANAST (Systèmes de transport et constructions navales) >] | |
Caprace, Jean-David [Université de Liège - ULg > Département ArGEnCo > Constructions hydrauliques et navales >] | |
Rigo, Philippe [Université de Liège - ULg > Département ArGEnCo > Constructions hydrauliques et navales >] | |
| 11-Jun-2012 | |
| 11th INTERNATIONAL MARINE DESIGN CONFERENCE | |
| University of Strathclyde | |
| Yes | |
| International | |
| Glasgow | |
| UK | |
| 11th INTERNATIONAL MARINE DESIGN CONFERENCE | |
| 11 au 14 juin 2012 | |
| University of Strathclyde | |
| Glasgow | |
| UK | |
| [en] Ship Structures ; Optimization ; CAD ; FEM ; AVEVA Marine ; ANSYS ; ModeFrontier | |
| [en] In ship structural design, scantling optimization using mathematical algorithms is not yet largely
implemented in industry. Optimization with mathematical algorithms can be very helpful to find the best solution (minimum weight, minimum cost, maximum inertia,…). Typically, finite element analysis (FEA) tools are used in ship structural assessment. But, to build a FEM model from a CAD one is not easy. It needs a big amount of manual work. In the present work, an innovative optimization workflow was developed. The following steps are carried automatically without any manual intervention. First, from the 3D CAD model, an idealized CAD model is created by the idealization module to take into account the FEM needs. Then, the idealized CAD model is transferred to the FEM tool. After that, the FEM model is meshed and loaded. After FEM solving, the results (stress, displacement, volume etc.) are transferred to the optimizer. The optimizer evaluates the values of the objective function and the constraints previously defined and modify the design variables (plate thickness and the stiffener scantling) to create a new structural model. After several iterations, the optimum solution is evaluated. | |
| University of Strathclyde | |
| University of Strathclyde | |
| http://hdl.handle.net/2268/121060 | |
| www.imdc2012.org.uk |
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