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Seismic analysis and special problems in foundations
Dynamic analysis of soil-structure interaction
Dynamic analysis of the soil-structure interaction of buildings or bridges subjected to seismic or other types of loads.
DEFE Researchers: Miguel Ángel Millán, David Mencías, Alejandro Calle and Fausto Molina.
Study of complex foundations
Study of complex foundations such as piled slabs.
DEFE Researchers: Miguel Ángel Millán, David Mencías, Alejandro Calle and Fausto Molina.
Construction of foundations and retaining structures in building construction
Study of problems associated with the construction of foundations and retaining structures in buildings, such as excavation with shields or batches. Their design is not well defined by any regulations and is a frequent cause of issues due to damage in adjacent buildings and even slope collapses.
DEFE Researchers: Miguel Ángel Millán, David Mencías, Alejandro Calle and Fausto Molina.
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Load-bearing capacity analysis of foundations and slope stability
Analysis of slope stability in excavations
Analysis of slope stability in excavations and the capacity to withstand foundation settlement in rock masses using advanced models, such as Discontinuity Layout Optimization (DLO), finite elements, or finite differences.
DEFE Researchers: Miguel Ángel Millán, David Mencías, Pilar R.-Monteverde and César de Santos.
Analysis of the load-bearing capacity of footings and piles
Study of the bearing capacity of footings and piles on homogeneous rock masses or with specific families of discontinuities.
DEFE Researchers: Miguel Ángel Millán, David Mencías, Pilar R.-Monteverde and César de Santos.
Slope stability analysis
Stability study of slopes in low-density volcanic rocks, addressing specific issues such as rock collapse or slope heterogeneity.
DEFE Researchers: Miguel Ángel Millán, David Mencías, Pilar R.-Monteverde and César de Santos.
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Foundation analysis using machine learning
Analysis of foundations using machine learning and artificial neural networks
Artificial neural networks (ANN) are a type of soft computing technique that learns from a sufficiently dense dataset, where the involved parameters are numerous or not fully understood, and configures a predictive model that solves the problem in the form of a system of simple recursive equations. The data for learning is obtained from laboratory tests or numerical models, and the results of the network allow for the prediction of complex behaviors, such as the bearing capacity of footings or piles on homogeneous rock masses, the stability of slopes in different types of terrain, or the behavior of saturated clays subjected to cyclic loads (a particularly complex problem).
DEFE Researchers: Miguel Ángel Millán and David Mencías.
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Analysis of geotechnical structures using reduced models
Analysis of geotechnical structures using reduced models and image correlation
The reduced modeling of retaining walls, screens, foundations, and tunnels has been studied, analyzing their deformations with digital image correlation (DIC).
DEFE Researchers: Miguel Ángel Millán, David Mencías and Fausto Molina.
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Analysis of geotechnical pathologies using advanced numerical methods
Analysis of geotechnical pathologies and intervention strategies using advanced numerical methods
Analysis using numerical methods (Finite Elements, DLO) of building cracking due to differential settlements, and repair strategies (staples, bars), as well as other issues such as underpinning.
DEFE Researchers: Miguel Ángel Millán and David Mencías.