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Chen, J. (author), Dwarka, V.N.S.R. (author), Vuik, Cornelis (author)The Helmholtz equation is related to seismic exploration, sonar, antennas, and medical imaging applications. It is one of the most challenging problems to solve in terms of accuracy and convergence due to the scalability issues of the numerical solvers. For 3D large-scale applications, high-performance parallel solvers are also needed. In this...journal article 2024
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Taumaturgo Mororo, L.A. (author)Developing accurate and robust numerical approaches that are capable of modeling fracture in solids has been a challenging undertaking in the computational mechanics community for decades. Models based on a continuous formulation or on a discontinuous one have been proposed by numerous authors, expanding upon abilities and disadvantages of these...doctoral thesis 2023
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Chen, G. (author), Zhang, Ke (author), Wang, Sheng (author), Jia, T. (author)Physically-based hydrological-geotechnical modeling at large scales is difficult, especially due to the time-consuming nature of flow routing and 3D soil stability models. Although parallelization techniques are commonly used for each model individually, there is currently no concurrent parallelization strategy for both. This study proposed...journal article 2023
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Breitwieser, Lukas (author), Hesam, A.S. (author), Rademakers, Fons (author), Luna, Juan Gómez (author), Mutlu, Onur (author)Agent-based modeling plays an essential role in gaining insights into biology, sociology, economics, and other fields. However, many existing agent-based simulation platforms are not suitable for large-scale studies due to the low performance of the underlying simulation engines. To overcome this limitation, we present a novel high...conference paper 2023
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van Kuik, Thobias (author)A magnetorheological fluid is a type of smart fluid that can change its rheological properties when a magnetic field is applied to the fluid. The fluid is a suspension of magnetizable particles in a non-magnetic carrier fluid. When a magnetic field is applied to the fluid, the particles will form structures along the magnetic field lines. These...master thesis 2022
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Oiknine, julien (author)As Knowledge Based Engineering (KBE) is gaining in popularity in the industry, the models developed with the technology grow in complexity. The larger KBE models suffer from long (re)generation times and outgrow the memory resources of standard desktop computer. In the meantime, the number of cores present in computer’s processors is steadily...master thesis 2022
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Cheng, J. (author), Lin, Qiao (author), Jiaxiang, Y. (author)In this paper, a variable-fidelity constrained lower confidence bound (VF-CLCB) criterion is presented for computationally expensive constrained optimization problems (COPs) with two levels of fidelity. In VF-CLCB, the hierarchical Kriging model is adopted to model the objective and inequality constraints. Two infill sampling functions are...journal article 2022
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Heinlein, A. (author), Perego, Mauro (author), Rajamanickam, Sivasankaran (author)Numerical simulations of Greenland and Antarctic ice sheets involve the solution of large-scale highly nonlinear systems of equations on complex shallow geometries. This work is concerned with the construction of Schwarz preconditioners for the solution of the associated tangent problems, which are challenging for solvers mainly because of...journal article 2022
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Páramo-Balsa, Paula (author), Gonzalez-Longatt, Francisco (author), Acosta, Martha N. (author), Rueda, José L. (author), Palensky, P. (author), Sanchez, Francisco (author), Roldan-Fernandez, Juan Manuel (author), Burgos-Payán, Manuel (author)The computational burden and the time required to train a deep reinforcement learning (DRL) can be appreciable, especially for the particular case of a DRL control used for frequency control of multi-electrical energy storage (MEESS). This paper presents an assessment of four training configurations of the actor and critic network to determine...conference paper 2022
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Mororó, L. A. T. (author), van der Meer, F.P. (author)The thick level set (TLS) method has been proposed as a nonlocal damage model for the modeling of failure in solids being able to deal with crack initiation, branching, and merging. The nonlocality of the TLS is achieved by introducing a characteristic length into the problem. This way, the TLS does not suffer from spurious localization in the...journal article 2021
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Verkaik, J. (author), van Engelen, J. (author), Huizer, S. (author), Bierkens, Marc F.P. (author), Lin, H.X. (author), Oude Essink, G.H.P. (author)Fresh groundwater reserves, being of vital importance for more than a billion of people living in the coastal zone, are being threatened by saltwater intrusion due to anthropogenic activities and climate change. High resolution three-dimensional (3D), variable-density (VD), groundwater flow and salt transport (FT) numerical models are...journal article 2021
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Panadero, Javier (author), Ammouriova, Majsa (author), Juan, Angel A. (author), Agustin, Alba (author), Nogal Macho, M. (author), Serrat, Carles (author)In smart cities, unmanned aerial vehicles and self-driving vehicles are gaining increased concern. These vehicles might utilize ultra-reliable telecommunication systems, Internet-based technologies, and navigation satellite services to locate their customers and other team vehicles to plan their routes. Furthermore, the team of vehicles...journal article 2021
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Verkaik, J. (author), Hughes, J.D. (author), van Walsum, P.E.V. (author), Oude Essink, G. H. P. (author), Lin, H.X. (author), Bierkens, M.F.P. (author)Worldwide, billions of people rely on fresh groundwater reserves for their domestic, agricultural and industrial water use. Extreme droughts and excessive groundwater pumping put pressure on water authorities in maintaining sustainable water usage. High-resolution integrated models are valuable assets in supporting them. The Netherlands...journal article 2021
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Larsen, R.B. (author), Atasoy, B. (author), Negenborn, R.R. (author)Controlling systems with both continuous and discrete actuators using model predictive control is often impractical, since mixed-integer optimization problems are too complex to solve sufficiently fast. This paper proposes a parallelizable method to control both the continuous input and the discrete switching signal for linear switched...journal article 2020
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Machidon, Alina L. (author), Machidon, Octavian M. (author), Ciobanu, C.B. (author), Ogrutan, Petre L. (author)Remote sensing data has known an explosive growth in the past decade. This has led to the need for efficient dimensionality reduction techniques, mathematical procedures that transform the high-dimensional data into a meaningful, reduced representation. Projection Pursuit (PP) based algorithms were shown to be efficient solutions for...journal article 2020
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Miri Rostami, Seyyed Reza (author), Mozaffarzadeh, M. (author), Hariri, Ali (author), Jokerst, Jesse V. (author), Ghaffari-Miab, Mohsen (author)Double-stage delay-multiply-and-sum (DS-DMAS) is one of the algorithms proposed for photoacoustic image reconstruction where a linear-array transducer is used to detect signals. This algorithm provides a higher contrast image in comparison with the conventional delay-multiply-and-sum (DMAS) and delay-and-sum (DAS), but it imposes a high...conference paper 2019
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Munro, D.P. (author), Ayas, C. (author), Langelaar, Matthijs (author), van Keulen, A. (author)We study linearity assumptions in the transient macroscale mechanical aspect of additive manufacturing (AM) process simulation. Linearity assumptions are often resorted to in combination with calibrated inelastic deformation components to arrive at computationally tractable yet reasonably accurate AM process models. We point out that...journal article 2019
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Miri Rostami, Seyyed Reza (author), Mozaffarzadeh, M. (author), Ghaffari-Miab, Mohsen (author), Hariri, Ali (author), Jokerst, Jesse (author)Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute unified device architecture (CUDA) graphics...journal article 2019
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Liu, S. (author), Borovykh, Anastasia (author), Grzelak, L.A. (author), Oosterlee, C.W. (author)A data-driven approach called CaNN (Calibration Neural Network) is proposed to calibrate financial asset price models using an Artificial Neural Network (ANN). Determining optimal values of the model parameters is formulated as training hidden neurons within a machine learning framework, based on available financial option prices. The...journal article 2019
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Improving the global analysis of mechanical systems via parallel computation of basins of attractionBelardinelli, P. (author), Lenci, Stefano (author)Numerical integrations represent a time-consuming element in the long-term dynamics analysis of mechanical systems. This limits the resolution of the computations and the dimension of the system to be investigated numerically. In fact, even pushing memory resources to their thresholds, only few tools can deal with higher-dimensional systems....journal article 2017