@misc{CaviedesVoulliemeMoralesHernandezJuezetal., author = {Caviedes-Voulli{\`e}me, Daniel and Morales-Hern{\´a}ndez, Mario and Juez, Carmelo and Lacasta, Asier and Garc{\´i}a-Navarro, Pilar}, title = {Two-Dimensional Numerical Simulation of Bed-Load Transport of a Finite-Depth Sediment Layer: Applications to Channel Flushing}, series = {Journal of Hydraulic Engineering}, volume = {143}, journal = {Journal of Hydraulic Engineering}, number = {9}, issn = {0733-9429}, doi = {10.1061/(ASCE)HY.1943-7900.0001337}, pages = {04017034}, abstract = {Numerical modeling of bed-load transport in shallow flows, particularly oriented toward environmental flows, is an active field of research. Nevertheless, other possible applications exist. In particular, bed-load transport phenomena are relevant in urban drainage systems, including sewers. However, few applications of coupled two-dimensional (2D) shallow-water and bed-load transport models can be found, and their transfer from environmental applications — usually river and floodplain — into sewer applications requires some adaptation. Unlike to river systems, where there is a thick layer of sediment that constitutes a movable riverbed, sewer systems have thin layers of sediment that need to be removed, thus exposing a rigid, nonerodible surface. This problem requires careful numerical treatment to avoid generating errors and instability in the simulation. This paper deals with a numerical approach to tackle this issue in an efficient way that allows large-scale studies to be performed and provides empirical evidence that the proposed approach is accurate and applicable for sewage and channel-flushing problems.}, language = {en} } @incollection{LacastaCaviedesVoulliemeGarciaNavarro, author = {Lacasta, Asier and Caviedes-Voulli{\`e}me, Daniel and Garc{\´i}a-Navarro, Pilar}, title = {Application of the Adjoint Method for the Reconstruction of the Boundary Condition in Unsteady Shallow Water Flow Simulation.}, series = {Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences. Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 48)}, booktitle = {Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences. Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 48)}, editor = {Minisci, Edmondo and Vasile, Massimiliano and Periaux, Jacques and Gauger, Nicolas R. and Giannakoglou, Kyriakos C. and Quagliarella, Domenico}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-89986-2}, doi = {10.1007/978-3-319-89988-6}, pages = {157 -- 172}, abstract = {Hydraulic phenomena in open-channel flows are usually described by means of the shallow water equations. This hyperbolic non-linear system can be used for predictive purposes provided that initial and boundary conditions are supplied and the roughness coefficient is calibrated. When calibration is required to fully pose the problem, several strategies can be adopted. In the present work, an inverse technique, useful for any of such purposes, based on the adjoint system and gradient descent is presented. It is used to find the optimal time evolution of the inlet boundary condition required to meet the 20 measured water depth data in an experimental test case of unsteady flow on a beach. The partial differential systems are solved using an upwind finite volume scheme. Several subsets of probes were selected and the quality of the reconstructed boundary tested against the experimental results. The results show that the adjoint technique is useful and robust for these problems, and exhibits some sensitivity to the choice of probes, which can be used to properly select probes in real applications.}, language = {en} }