Search Results - "Soulaïmani, Azzeddine"

Non-intrusive reduced-order modeling using uncertainty-aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to flood modeling by Jacquier, Pierre, Abdedou, Azzedine, Delmas, Vincent, Soulaïmani, Azzeddine

“…Deep Learning research is advancing at a fantastic rate, and there is much to gain from transferring this knowledge to older fields like Computational Fluid…”
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A hierarchical level-set numerical approach for immiscible incompressible n-phase flows (n≥3) by Fahsi, Adil, Soulaïmani, Azzeddine

“…•A hierarchical level set approach is proposed for interface-resolved simulations of immiscible incompressible n-phase flows (n ≥ 3).•The proposed approach…”
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Parallel high-order resolution of the Shallow-water equations on real large-scale meshes with complex bathymetries by Delmas, Vincent, Soulaïmani, Azzeddine

“…The resolution of the Shallow-water equations is of practical interest in the study of inundations and often requires very large and dense meshes to accurately…”
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A non-intrusive reduced-order modeling for uncertainty propagation of time-dependent problems using a B-splines Bézier elements-based method and proper orthogonal decomposition: Application to dam-break flows by Abdedou, Azzedine, Soulaïmani, Azzeddine

“…•A non-intrusive approach for parametric and time-dependent problems is proposed.•The method combines the POD technique with the B-Splines Bézier element…”
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A transfer learning physics-informed deep learning framework for modeling multiple solute dynamics in unsaturated soils by Kamil, Hamza, Soulaïmani, Azzeddine, Beljadid, Abdelaziz

“…Modeling subsurface flow and transport phenomena is essential for addressing a wide range of challenges in engineering, hydrology, and ecology. The Richards…”
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Semi-implicit schemes for modeling water flow and solute transport in unsaturated soils by Kamil, Hamza, Beljadid, Abdelaziz, Soulaïmani, Azzeddine, Bourgault, Yves

“…The coupled model of water flow and solute transport in unsaturated soils is addressed in this study. Building upon previous research findings by Keita,…”
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A non-intrusive B-splines Bézier elements-based method for uncertainty propagation by Abdedou, Azzedine, Soulaïmani, Azzeddine

“…A non-intrusive B-Splines Bézier Elements based Method (BSBEM) is proposed as an efficient tool for uncertainty propagation analysis in physical hyperbolic…”
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Deep Neural Network and Polynomial Chaos Expansion-Based Surrogate Models for Sensitivity and Uncertainty Propagation: An Application to a Rockfill Dam by Shahzadi, Gullnaz, Soulaïmani, Azzeddine

“…Computational modeling plays a significant role in the design of rockfill dams. Various constitutive soil parameters are used to design such models, which…”
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Uncertainty propagation of dam break flow using the stochastic non-intrusive B-splines Bézier elements-based method by Abdedou, Azzedine, Soulaïmani, Azzeddine, Tchamen, Georges Williams

“…•A BSBEM expansion is constructed for uncertainty propagation.•The coefficients of the surrogate model are evaluated using a regression technique.•The…”
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A combined XFEM–damage mechanics approach for concrete crack propagation by Roth, Simon-Nicolas, Léger, Pierre, Soulaïmani, Azzeddine

“…This paper presents a crack model that couples the benefits of the damage mechanics approach and the extended finite element method (XFEM). A crack-tracking…”
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A Comparative Study of Machine Learning Methods for Computational Modeling of the Selective Laser Melting Additive Manufacturing Process by Chaudhry, Shubham, Soulaïmani, Azzeddine

“…Selective laser melting (SLM) is a metal-based additive manufacturing (AM) technique. Many factors contribute to the output quality of SLM, particularly the…”
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Strongly coupled XFEM formulation for non-planar three-dimensional simulation of hydraulic fracturing with emphasis on concrete dams by Roth, Simon-Nicolas, Léger, Pierre, Soulaïmani, Azzeddine

“…This paper presents a novel and robust three-dimensional plain concrete cracking model applicable to the study of structural stability of large structures,…”
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Flood risk mapping using uncertainty propagation analysis on a peak discharge: case study of the Mille Iles River in Quebec by Zokagoa, Jean-Marie, Soulaïmani, Azzeddine, Dupuis, Pierre

“…This study uses uncertainty propagation in real flood events to derive a probabilistic flood map. The flood event of spring 2017 in Quebec was selected for…”
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Deep Neural Network-based Inverse Analysis with Application to a Rockfill Dam by Shahzadi, Gullnaz, Soulaimani, Azzeddine

“…The availability of significant computational resources has played an essential role in developing advanced numerical models for the design and safety…”
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Fully-coupled hydro-mechanical cracking using XFEM in 3D for application to complex flow in discontinuities including drainage system by Roth, Simon-Nicolas, Léger, Pierre, Soulaïmani, Azzeddine

“…The presence of uplift pressures in cracked plain concrete hydraulic structures is a major concern for their durability, serviceability and stability. To…”
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Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems by Bhatt, Pratyush, Kumar, Yash, Soulaïmani, Azzeddine

“…Physical systems whose dynamics are governed by partial differential equations (PDEs) find numerous applications in science and engineering. The process of…”
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Stabilized finite element methods for solving the level set equation without reinitialization by Toure, Mamadou Kabirou, Soulaimani, Azzeddine

“…New stabilized finite element methods are proposed for solving moving interface flow problems using the level set approach. The formulations enhance the…”
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Numerical Algorithms for Elastoplacity: Finite Elements Code Development and Implementation of the Mohr–Coulomb Law by Amouzou, Gildas Yaovi, Soulaïmani, Azzeddine

“…Two numerical algorithms for solving elastoplastic problems with the finite element method are presented. The first deals with the implementation of the return…”
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Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders by Abdedou, Azzedine, Soulaimani, Azzeddine

“…A non-intrusive reduced-order model based on convolutional autoencoders is proposed as a data-driven tool to build an efficient nonlinear reduced-order model…”
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Efficiency Assessment for Rehabilitated Francis Turbines Using URANS Simulations by Martineau Rousseau, Philippe, Soulaïmani, Azzeddine, Sabourin, Michel

“…Due to the large number of aging hydraulic turbines in North America, rehabilitation is a growing market as these turbines have low efficiency compared to…”
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