From design to
post-processing in 4 clicks

If you are a naval architect, you probably know how long the ship design process takes. In this article, you will learn how Extrality can help you perform resistance calculations much earlier on while relying on your existing simulation tools, thus reducing the risk of project deviations and opening up more opportunities to evaluate new designs.

In this study, we are using Deep Learning Physics (DLP) to build a generic AI-model for hydrodynamic studies of tankers.‍ First we will introduce the Deep Learning Physics technology, then we will describe the dataset used to build a tanker boat DLP-model and finally assess this model vs CFD.

The objective of this study is to minimize the resistance of a ship at the target operational speed and to show that it can be done in a short time with few computing resources. First we will recall the context of the global shipping industry and a way to cut down emissions, then we will describe the procedure of hull form optimization and finally we will show how to effectively do it with Extrality Deep Learning Physics Platform.