Garikapati, Hasini (Date of defense: 2020-03-28)
Uncertainty quantification is important in assessing and predicting the performance of complex engineering systems and processes, especially in the absence of adequate experimental or real-world data. ...
Larion, Ygee (Date of defense: 2022-02-01)
In a large number of geo-environmental applications, it is essential to model coupled processes that depend on several design parameters such as material properties and geometrical features. ...
Cavaliere, Fabiola (Date of defense: 2022-04-06)
In order to be worldwide competitive, the automotive industry is constantly challenged to produce higher quality vehicles in the shortest time possible and with the minimum costs of production. Most of ...
Nasika, Christina (Date of defense: 2022-06-28)
The latest monitoring and asset management technologies for large infrastructures involve digital representations that integrate information and physical models, exist in parallel to the real-life ...
Reis, Jonatha Oliveira de Matos (Date of defense: 2020-12-29)
A significant part of the current research efforts in computational mechanics is focused on analyzing and handling large amounts of data, exploring high dimensional parametric spaces and providing answers ...
Rocas Alonso, Marc (Date of defense: 2021-07-23)
The automotive industry is constantly involved in the development of new methodologies and projects with the aim of reducing costs. During the vehicle design process, one of the most significant cost ...