81 citations · 231 across the 23 of their papers we have counts for
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Uncertainty quantification in timber-like beams using sparse grids: theory and examples with off-the-shelf software utilization
Balduzzi Giuseppe, Bonizzoni Francesca, Tamellini Lorenzo
When dealing with timber structures, the characteristic strength and stiffness of the material are made highly variable and uncertain by the unavoidable, yet hardly predictable, pr…
Combining noisy well data and expert knowledge in a Bayesian calibration of a flow model under uncertainties: an application to solute transport in the Ticino basin
Emily A. Baker, Sauro Manenti, Alessandro Reali +3
Groundwater flow modeling is commonly used to calculate groundwater heads, estimate groundwater flow paths and travel times, and provide insights into solute transport processes wi…
Sparse-grids uncertainty quantification of part-scale additive manufacturing processes
Mihaela Chiappetta, Chiara Piazzola, Massimo Carraturo +3
The present paper aims at applying uncertainty quantification methodologies to process simulations of powder bed fusion of metal. In particular, for a part-scale thermomechanical m…
Combining the Morris Method and Multiple Error Metrics to Assess Aquifer Characteristics and Recharge in the Lower Ticino Basin, in Italy
Emily A. Baker, Alessandro Cappato, Sara Todeschini +4
Groundwater flow model accuracy is often limited by the uncertainty in model parameters that characterize aquifer properties and aquifer recharge. Aquifer properties such as hydrau…
The Sparse Grids Matlab kit -- a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification
Chiara Piazzola, Lorenzo Tamellini
The Sparse Grids Matlab Kit provides a Matlab implementation of sparse grids, and can be used for approximating high-dimensional functions and, in particular, for surrogate-model-b…