Paper Info
Title
LincoSim: a web based HPC-cloud platform for automatic virtual towing tank analysis.
Abstract
In this work, we present a new web based HPC-cloud platform for automatic virtual towing tank analysis. It is well known that the design project of a new hull requires a continuous integration of shape hypothesis and hydrodynamics verifications using analytical tools, 3D computational methods, experimental facilities and sea keeping trial tests. The complexity and the cost of such design tools increase considerably moving from analytical tools to sea keeping trials. In order to perform a meaningful trade-off between costs and high quality data acquiring during the last decade the usage of 3D computational models has grown pushed also by well-known technological factors. Nevertheless, in the past, there were several limiting factors on the wide diffusion of 3D computational models to perform virtual towing tank data acquiring, from hardware and software costs to the specific technological skills needed. In this work we propose an innovative high-level approach which is embodied in the so-called LincoSim web application in which a hypothetical designer user can carry out the simulation only starting from its own geometry and a set of meaningful physical parameters. LincoSim automatically manages and hides to the user all the necessary details of CFD modelling and of HPC infrastructure usage allowing them to access, visualize and analyze the outputs from the same single access point made up from the web browser. In addition to the web interface, the platform includes a back-end server which implements a Cloud logic and can be connected to multiple HPC machines for computing. LincoSim is currently set up with finite volume Open-FOAM CFD engine. A preliminary validation campaign has been performed to assess the robustness and the reliability of the tool and is proposed as a novel approach for the development of Computer Aided Engineering (CAE) applications.
Year
Venue
Field
2018
arXiv: Distributed, Parallel, and Cluster Computing
Computer-aided engineering,Computer science,Towing,Robustness (computer science),Computational model,Software,Web application,Computational fluid dynamics,Distributed computing,Cloud computing
DocType
Volume
Citations 
Journal
abs/1810.09830
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Raffaele Ponzini101.01
Francesco Salvadore200.34