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Universitat Politècnica de Catalunya
Programa de Doctorat en Enginyeria Civil
La Universitat Politècnica de Catalunya. Barcelona Tech (UPC) és una institució pública de recerca i d'educació superior en els àmbits de l'enginyeria, l'arquitectura i les ciències.
L’activitat dels seus campus i centres fan de la UPC un punt de referència i, en complicitat amb el teixit productiu, són agent i motor de canvi econòmic i social, en posar en valor la recerca bàsica i aplicada i transferir tecnologia i coneixement a la societat.
Els investigadors i investigadores de la UPC treballen des dels laboratoris i centres de recerca per augmentar la producció científica, valoritzar-la socialment a través de la transferència de resultats i continuar liderant projectes internacionals d’excel·lència, ja sigui a partir d’iniciatives pròpies o en col·laboració amb altres centres de recerca i universitats d’arreu del món.
Portal de la producció científica dels investigadors de la UPC.
Portal d'accés obert al coneixement de la UPC
Si sou doctor o doctora per la Universitat Politècnica de Catalunya i voleu publicar la vostra tesi a TDX, contacteu amb tdx@upc.edu. Per a més informació consulteu les preguntes més freqüents
Recent Submissions
Llista ítems afegits recenment
Comportamiento hidráulico de aliviaderos de perfil estricto en zonas de gran altitud
(English) This research explores the influence of altitude on the shape of strict profile spillways and their discharge coefficients, pressure field, and cavitation risk. An experimental campaign has been carried out next ...
A model for the aero‐hydro‐servo‐elastic analysis of floating offshore wind turbines based on a co‐rotational formulation
(English) Nowadays, there is an increasing, despite reduced, number of models capable of performing fully coupled aerohydro‐servo‐elastic simulations in the time domain for the analysis of floating offshore wind turbines ...
Reduced order models and machine learning techniques for digital twin applications
(English) This thesis advances intrusive projection-based reduced order modeling (PROM) as a scalable, physics-consistent foundation for real-time digital twins in industrial applications. By integrating high-fidelity ...
Data-driven patient-specific models supporting decision making with application to atherosclerotic plaque analysis
(English) This thesis advances finite element-based tools to improve atherosclerosis analysis by addressing current computational limitations. Atherosclerosis, the leading cause of ischaemic heart attacks, imposes a ...
Mathematical and computational modeling of the active mechanics of multicellular systems: from cell-cell adhesion to epithelial reshaping
(English) This thesis develops theoretical and computational frameworks to model two fundamental mechanical functions of multicellular tissues: cell-cell adhesion and epithelial reshaping. These processes are controlled ...
Impact of mixing-driven precipitation and sharp soil interfaces on solute transport: from laboratory visualization to numerical modeling
(English) Understanding the dynamics of solute transport in highly heterogeneous porous systems represents an inherent challenge for assessing various subsurface activities, such as carbon sequestration and groundwater ...
Urban freight distribution management and pricing with tradable mobility credits
(English) Cities around the world are still facing increasing congestion problems. Emerging demands of ecommerce and other commercial activities make this situation worse. Congestion pricing schemes gain low public acceptance ...
Advancing decision support: content management, ecommerce, and the challenge of interoperability for integrated modeling
(English) Computational modeling helps us understand how decisions influence outcomes by replicating complex processes with the necessary level of detail. Advances in technology now enable increasingly sophisticated models, ...
Towards seamless integration of data and physics: machine learning workflows for subsurface flow and induced seismicity forecasting in geo-energy applications
(English) Geo-energy applications, such as geothermal energy, geologic carbon capture and storage, and underground hydrogen storage, have the potential to address anthropogenic climate change by contributing to the ...
Development of hyperreduced order models for multiphysics numerical simulations: a noninvasive approach
(English) Reduced Order Models (ROMs) are powerful tools for accelerating numerical simulations by identifying and exploiting underlying structures in complex systems. By approximating high-dimensional problems using ...
Continuum and computational modelling of surface effects in flexoelectric materials
(English) In recent years, with the rise of nanoscale technologies and consequent miniaturization of devices, the bulk flexoelectric effect has gained much interest from researchers around the world. However, there is no ...
Enhanced inherent strain modelling for powder-based metal additive manufacturing
(English) Metal additive manufacturing (MAM), particularly powder bed fusion using a laser beam (PBF-LB), has transformed manufacturing by enabling the production of intricate and optimised metal components directly from ...
Integration of spatial and temporal patterns for ecological environment management in river-riparian system
(English) Rivers are important carriers of water resources and important components of ecosystems. In some areas, rivers have been artificially narrowed, riparian areas have been encroached upon, riparian resources have ...
Numerical techniques for the solution of thermal problems in the context of geophysical inversions
(English) The thermal structure of the Earth’s interior contains key information for the understanding of geodynamic processes, including plate tectonics, mantle convection, and the Earth’s overall thermal evolution. In ...
Numerical modelling of non-Newtonian shallow flows
(English) Numerical modelling of natural phenomena, particularly weather-related which are the 90 % of global disasters, is essential to analyse and predict hazardous situations for the people, the economy and the environment. ...
Finite element methods for particle-laden flows
(English) In this monograph, we develop a numerical method to model dense particle-laden flows. We analyze the key components of a particle-laden flow algorithm, which are the stabilization of the fluid formulation, the ...
A face-centred finite volume solver for viscous laminar incompressible flows using OpenFOAM
(English) Incompressible flow simulations are crucial for numerous scientific and engineering applications, from automotive aerodynamics to biomedical device design. Traditional finite volume (FV) methods, such as the ...
Aerodynamic shape optimization under uncertainties using embedded methods and adjoint techniques
(English) This thesis develops a framework to perform shape optimization under uncertainties for a body under the action of aerodynamic forces. The solution of the flow is performed with finite elements using the full ...
Evaluation of potential hazard due to off-stream reservoir failure using machine learning techniques
(English) Hazard classification for dams and off-stream reservoirs, which entails identifying potential damages in the event of structural failure, is a crucial tool for implementing local-level risk reduction plans. ...
Continuous-discrete numerical modeling of the thermomechanical behavior of granular media supported by experimental campaign
(English) Granular materials, ranging from soils and food grains to construction aggregates and pharmaceutical powders, are prevalent in both natural and industrial contexts. Their complex physical behavior, which can ...
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