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master thesis

Data management and modelling of composite materials fatigue behavior

Matthews Salmon, Scott
August 23, 2021

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.

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Type
master thesis
Author(s)
Matthews Salmon, Scott
Advisors
Vassilopoulos, Anastasios  
Date Issued

2021-08-23

Total of pages

35 pages

EPFL units
SGC  
CCLAB  
Section
GC-S  
Available on Infoscience
August 23, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/180757
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