Êtes-vous un étudiant de l'EPFL à la recherche d'un projet de semestre?
Travaillez avec nous sur des projets en science des données et en visualisation, et déployez votre projet sous forme d'application sur Graph Search.
In this paper, we will present an update for the previously developed CCFatigue computational tool. This tool has been built around several analysis methods for fatigue life predictions of composite materials and includes modules that allow analysis over complex loading cases. The software’s ability to make predictions and its applicability have been shown in previous works, and the focus in this article will be the integration of the software into a broader data management platform. The main limitation of the previous iteration of the software was that it only allowed for analysis of data stored locally, which made collaboration and access to data complicated. Here we will describe the process of creating a database environment suited for fatigue analysis of composite materials, from all the metadata necessary for identification and analysis of each datasets, to the files hierarchy within the database as well as the naming conventions used. Additionally to the database, we will discuss the integration of the existing software and the database within a web environment, with new visualization possibilities for experiments as well as single tests performed under simple or complex stress states.
Denis Gillet, Isabelle Barbara Marie-Hélène Cardia
Paola Mejia Domenzain, Luca Mouchel, Thiemo Wambsganss