Latest in cs.ce

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Quasi-3D Thermal Simulation of Quench Propagation in Superconducting MagnetsSep 18 2019To deal with the multi-scale nature of the quench propagation problem in superconducting magnets, this work presents a quasi-three-dimensional (Q3D) approach combining a two-dimensional finite-element method (FEM) in the transversal cross-section of the ... More
Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response ModelingSep 17 2019Seismic events, among many other natural hazards, reduce due functionality and exacerbate vulnerability of in-service buildings. Accurate modeling and prediction of building's response subjected to earthquakes makes possible to evaluate building performance. ... More
Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentialsSep 16 2019The semiclassical Schr\"odinger equation with time-dependent potentials is an important model to study electron dynamics under external controls in the mean-field picture. In this paper, we propose two multiscale finite element methods to solve this problem. ... More
MVDLite: A Light-weight Representation of Model View Definition with Fast Validation for BIM ApplicationsSep 16 2019Model View Definition (MVD) is the standard methodology to define the partial models and data exchange requirements for Building Information Model (BIM). However, the current commonly used mvdXML format is complicated and difficult to develop. In addition, ... More
A Data-driven Dynamic Rating Forecast Method and Application for Power Transformer Long-term PlanningSep 16 2019This paper presents a data-driven method for producing annual continuous dynamic rating of power transformer for long-term planning purpose. Historically, researches on dynamic rating have been focused on real-time or near-future system operations. There ... More
Spectral/hp element simulation of flow past a Formula One front wing: validation against experimentsSep 15 2019Emerging commercial and academic tools are regularly being applied to the design of road and race cars, but there currently are no well-established benchmark cases to study the aerodynamics of race car wings in ground effect. In this paper we propose ... More
A scalable computational platform for particulate Stokes suspensionsSep 14 2019We describe a computational framework for simulating suspensions of rigid particles in Newtonian Stokes flow. One central building block is a collision-resolution algorithm that overcomes the numerical constraints arising from particle collisions. This ... More
Finite element modeling of micropolar-based phononic crystalsSep 13 2019The performance of a Cosserat/micropolar solid as a numerical vehicle to represent dispersive media is explored. The study is conducted using the finite element method with emphasis on Hermiticity, positive definiteness, principle of virtual work and ... More
On Topology Optimization with Elliptical Masks and Honeycomb Tessellation with Explicit Length Scale ConstraintsSep 12 2019Topology optimization using gradient search with negative and positive elliptical masks and honeycomb tessellation is presented. Through a novel skeletonization algorithm for topologies defined using filled and void hexagonal cells/elements, explicit ... More
Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine LearningSep 11 2019The Efficient Market Hypothesis has been a staple of economics research for decades. In particular, weak-form market efficiency -- the notion that past prices cannot predict future performance -- is strongly supported by econometric evidence. In contrast, ... More
DuMu$^\text{x}$ 3 -- an open-source simulator for solving flow and transport problems in porous media with a focus on model couplingSep 11 2019We present version 3 of the open-source simulator for flow and transport processes in porous media DuMu$^\text{x}$. DuMu$^\text{x}$ is based on the modular C++ framework Dune (Distributed and Unified Numerics Environment) and is developed as a research ... More
High order transition elements: The xNy-element concept -- Part I: StaticsSep 11 2019Advanced transition elements are of utmost importance in many applications of the finite element method (FEM) where a local mesh refinement is required. Considering problems that exhibit singularities in the solution, an adaptive hp-refinement procedure ... More
POSITION PAPER: Credibility of In Silico Trial Technologies: A Theoretical FramingSep 10 2019Different research communities have developed various approaches to assess the credibility of predictive models. Each approach usually works well for a specific type of model, and under some epistemic conditions that are normally satisfied within that ... More
Deformable Models for Surgical Simulation: A SurveySep 08 2019This paper presents a survey of the state-of-the-art deformable models studied in the literature concerning soft tissue deformable modeling for interactive surgical simulation. It first introduces the challenges of surgical simulation, followed by discussions ... More
Real-time computation of bio-heat transfer in the fast explicit dynamics finite element algorithm (FED-FEM) frameworkSep 08 2019Real-time analysis of bio-heat transfer is very beneficial in improving clinical outcomes of hyperthermia and thermal ablative treatments but challenging to achieve due to large computational costs. This paper presents a fast numerical algorithm well ... More
Fast explicit dynamics finite element algorithm for transient heat transferSep 08 2019This paper presents a novel methodology for fast simulation and analysis of transient heat transfer. The proposed methodology is suitable for real-time applications owing to (i) establishing the solution method from the viewpoint of computationally efficient ... More
Extension of the one-dimensional Stoney algorithm to a two-dimensional caseSep 07 2019This article presents the extension of the one-dimensional Stoney algorithm to a two-dimensional case. The proposed extension consists in modifying the method of curvature estimation. The surface profile of the wafer before deposition of the thin film ... More
Topology Optimization of Fluidic Pressure Loaded Structures and Compliant Mechanisms using the Darcy MethodSep 07 2019In various applications, design problems involving structures and compliant mechanisms experience fluidic pressure loads. During topology optimization of such design problems, these loads adapt their direction and location with the evolution of the design, ... More
An Elementarily Simple Galerkin Meshless Method: the Fragile Points Method (FPM) Using Point Stiffness Matrices, for 2D Elasticity Problems in Complex DomainsSep 06 2019The Fragile Points Method (FPM) is a stable and elementarily simple, meshless Galerkin weak-form method, employing simple, local, polynomial, Point-based, discontinuous and identical trial and test functions which are derived from the Generalized Finite ... More
Adaptive Third Order Adams-Bashforth Time Stepping Scheme for 2D Extended Boussinesq EquationsSep 05 2019We develop the third-order adaptive Adams-Bashforth time stepping scheme and the second-order finite difference discretization equation for variable time steps. We incorporate these schemes in the Celeris Advent software to discretize and solve the extended ... More
PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance DataSep 04 2019Spectral induced polarization (SIP) is a non-intrusive geophysical method that is widely used to detect sulfide minerals, clay minerals, metallic objects, municipal wastes, hydrocarbons, and salinity intrusion. However, SIP is a static method that cannot ... More
Towards a Unified Approach to Electromagnetic Analysis by Multilayer Embedded ObjectsSep 04 2019In this paper, an efficient and accurate unified approach is proposed to solve transverse magnetic scattering problems by multilayer embedded objects. In the proposed approach, an equivalent current density is derived when the equivalent theorem is recursively ... More
Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow modelsSep 04 2019Surrogate-modelling techniques including Polynomial Chaos Expansion (PCE) is commonly used for statistical estimation (aka. Uncertainty Quantification) of quantities of interests obtained from expensive computational models. PCE is a data-driven regression-based ... More
Computation Protein Design instances with small tree-width: selection based on coarse approximated 3D average position volumeSep 02 2019This paper proposes small tree-width graph decomposition computational protein design CFN instances defined according to the model [1] with protocol defined by Simononcini et al [2] . The proteins used in the benchmark have been selected in the PDB (not ... More
Technical Report -- Comparison of Direct Finite Element Simulation with Actuator Line Models and Vortex Models for Simulation of Turbulent Flow Past a Vertical Axis wind TurbineAug 30 2019We compare three different methodologies for simulation of turbulent flow past a vertical axis wind turbine: (i) full resolution of the turbine blades in a Direct Finite Element Simulation (DFS), (ii) implicit representation of the turbine blades in a ... More
Adaptive Partition-based SDDP Algorithms for Multistage Stochastic Linear ProgrammingAug 29 2019In this paper, we extend the adaptive partition-based approach for solving two-stage stochastic programs with fixed recourse to the multistage stochastic programming setting. The proposed algorithms integrate the adaptive partition-based strategy with ... More
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended VersionAug 29 2019Parametric shape optimization aims at minimizing an objective function f(x) where x are CAD parameters. This task is difficult when f is the output of an expensive-to-evaluate numerical simulator and the number of CAD parameters is large. Most often, ... More
An optimization framework for route design and allocation of aircraft to multiple departure routesAug 29 2019In this article, we present the development of a two-step optimization framework to deal with the design and selection of aircraft departure routes and the allocation of flights among these routes. The aim of the framework is to minimize cumulative noise ... More
Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-MixingAug 28 2019This paper presents a physics-informed machine learning (ML) framework to construct reduced-order models (ROMs) for reactive-transport quantities of interest (QoIs) based on high-fidelity numerical simulations. QoIs include species decay, product yield, ... More
Topology optimization for 3D thin-walled structures with adaptive meshingAug 28 2019This paper presents a density-based topology optimization method for designing 3D thin-walled structures with adaptive meshing. Uniform wall thickness is achieved by simultaneously constraining the minimum and maximum feature sizes using Helmholtz partial ... More
Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reductionAug 28 2019In this work, we present an efficiently computational approach for designing material micro-structures by means of topology optimization. The central idea relies on using the isogeometric analysis integrated with the parameterized level set function for ... More
PyFrac: A planar 3D hydraulic fracture simulatorAug 26 2019Fluid driven fractures propagate in the upper earth crust either naturally or in response to engineered fluid injections. The quantitative prediction of their evolution is critical in order to better understand their dynamics as well as to optimize their ... More
PyFrac: A planar 3D hydraulic fracture simulatorAug 26 2019Sep 02 2019Fluid driven fractures propagate in the upper earth crust either naturally or in response to engineered fluid injections. The quantitative prediction of their evolution is critical in order to better understand their dynamics as well as to optimize their ... More
Partitioned Exponential Methods for Coupled Multiphysics SystemsAug 26 2019Aug 28 2019Multiphysics problems involving two or more coupled physical phenomena are ubiquitous in science and engineering. This work develops a new partitioned exponential approach for the time integration of multiphysics problems. After a possible semi-discretization ... More
A Complete Algebraic Transformational Solution for the Optimal Dynamic Policy in Inventory Rationing across Two Demand ClassesAug 25 2019In this paper, we apply the sensitivity-based optimization to propose and develop a complete algebraic transformational solution for the optimal dynamic rationing policy in inventory rationing across two demand classes. Our results provide a unified framework ... More
New stable method to solve heat conduction problems in extremely large systemsAug 24 2019We present a new explicit and stable numerical algorithm to solve the homogeneous heat equation. We illustrate the performance of the new method in the cases of two 2D systems with highly inhomogeneous random parameters. Spatial discretization of these ... More
Direct shape optimization through deep reinforcement learningAug 23 2019Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explored before the capabilities of these methods are well understood. In this ... More
Direct shape optimization through deep reinforcement learningAug 23 2019Sep 05 2019Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explored before the capabilities of these methods are well understood. In this ... More
Direct shape optimization through deep reinforcement learningAug 23 2019Aug 28 2019Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explored before the capabilities of these methods are well understood. In this ... More
Stencil scaling for vector-valued PDEs with applications to generalized Newtonian fluidsAug 23 2019Matrix-free finite element implementations for large applications provide an attractive alternative to standard sparse matrix data formats due to the significantly reduced memory consumption. Here, we show that they are also competitive with respect to ... More
Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological DataAug 22 2019Both astronomy and biology are experiencing explosive growth of data, resulting in a "big data" problem standing in the way of a "big data" opportunity for discovery. One common task on such data sets is the problem of approximate search, or $\rho-$nearest ... More
Gibbs sampling for game-theoretic modeling of private network upgrades with distributed generationAug 22 2019Renewable energy is increasingly being curtailed, due to oversupply or network constraints. Curtailment can be partially avoided by smart grid management, but the long term solution is network reinforcement. Network upgrades, however, can be costly, so ... More
Discontinuous Galerkin approximations in computational mechanics: hybridization, exact geometry and degree adaptivityAug 19 2019Discontinuous Galerkin (DG) discretizations with exact representation of the geometry and local polynomial degree adaptivity are revisited. Hybridization techniques are employed to reduce the computational cost of DG approximations and devise the hybridizable ... More
A linear system for pipe flow stability analysis allowing for boundary condition modificationsAug 18 2019An accurate system to study the stability of pipe flow that ensures regularity is presented. The system produces a spectrum that is as accurate as Meseguer \& Trefethen (2000), while providing flexibility to amend the boundary conditions without a need ... More
Hybrid LBM-FVM and LBM-MCM Methods for Fluid Flow and Heat Transfer SimulationAug 18 2019The fluid flow and heat transfer problems encountered in industry applications span into different scales and there are different numerical methods for different scales problems. It is not possible to use single scale method to solve problems involving ... More
Global cracking elements: a novel tool for Galerkin-based approaches simulating quasi-brittle fractureAug 17 2019Following the so-called Cracking Elements Method (CEM), recently presented in \cite{Yiming:14,Yiming:16}, we propose a novel Galerkin-based numerical approach for simulating quasi-brittle fracture, named Global Cracking Elements Method (GCEM). For this ... More
Shape Optimization of Rotating Electric Machines using Isogeometric Analysis and Harmonic Stator-Rotor CouplingAug 15 2019This work deals with shape optimization of electric machines using isogeometric analysis. Isogeometric analysis is particularly well suited for shape optimization as it allows to easily modify the geometry without remeshing the domain. A 6-pole permanent ... More
Towards automated symptoms assessment in mental healthAug 14 2019Activity and motion analysis has the potential to be used as a diagnostic tool for mental disorders. However, to-date, little work has been performed in turning stratification measures of activity into useful symptom markers. The research presented in ... More
A modified Coulomb's law for the tangential debonding of osseointegrated implantsAug 12 2019Cementless implants are widely used in orthopedic and oral surgery. However, debonding-related failure still occurs at the bone-implant interface. It remains difficult to predict such implant failure since the underlying osseointegration phenomena are ... More
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition methodAug 12 2019In this paper, we propose an efficient numerical method to solve high-dimensional nonlinear filtering (NLF) problems. Specifically, we use the tensor train decomposition method to solve the forward Kolmogorov equation (FKE) arising from the NLF problem. ... More
An Embedded Boundary Approach for Resolving the Contribution of Cable Subsystems to Fully Coupled Fluid-Structure InteractionAug 11 2019Many engineering systems contain cables as subsystems including suspension lines for parachutes, cables in suspended bridges, risers in offshore platforms, airborne refueling systems, and so on. However, the interactions between fluid and cable subsystems ... More
An Embedded Boundary Approach for Resolving the Contribution of Cable Subsystems to Fully Coupled Fluid-Structure InteractionAug 11 2019Sep 03 2019Cable subsystems characterized by one or more extremely long, slender and flexible structural elements are featured in numerous engineering systems including parachutes, suspension bridges, marine drilling risers, and aerial refueling equipment. In each ... More
From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level AbstractionsAug 08 2019We study the simulation of stellar mergers, which requires complex simulations with high computational demands. We have developed Octo-Tiger, a finite volume grid-based hydrodynamics simulation code with Adaptive Mesh Refinement which is unique in conserving ... More
From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level AbstractionsAug 08 2019Aug 09 2019We study the simulation of stellar mergers, which requires complex simulations with high computational demands. We have developed Octo-Tiger, a finite volume grid-based hydrodynamics simulation code with Adaptive Mesh Refinement which is unique in conserving ... More
A second-order face-centred finite volume method for elliptic problemsAug 08 2019A second-order face-centred finite volume method (FCFV) is proposed. Contrary to the more popular cell-centred and vertex-centred finite volume (FV) techniques, the proposed method defines the solution on the faces of the mesh (edges in two dimensions). ... More
Agent-based simulator of dynamic flood-people interactionsAug 08 2019This paper presents a new simulator for dynamic modelling of interactions between flooding and people in crowded areas. The simulator is developed in FLAMEGPU (a Flexible Large scale Agent-based Modelling Environment for the GPU), which allows to model ... More
Deep material network with cohesive layers: Multi-stage training and interfacial failure analysisAug 07 2019A fundamental issue in multiscale materials modeling and design is the consideration of traction-separation behavior at the interface, which generally influences the failure properties. This paper develops a physics-based machine learning model based ... More
HATS: A Hierarchical Graph Attention Network for Stock Movement PredictionAug 07 2019Aug 24 2019Many researchers both in academia and industry have long been interested in the stock market. Numerous approaches were developed to accurately predict future trends in stock prices. Recently, there has been a growing interest in utilizing graph-structured ... More
HATS: A Hierarchical Graph Attention Network for Stock Movement PredictionAug 07 2019Many researchers both in academia and industry have long been interested in the stock market. Numerous approaches were developed to accurately predict future trends in stock prices. Recently, there has been a growing interest in utilizing graph-structured ... More
Parallel simulation of two--dimensional Ising models using Probabilistic Cellular AutomataAug 05 2019We perform a numerical investigation of the \emph{shaken dynamics}, a parallel Markovian dynamics for spin systems with local interaction and whose transition probabilities depend on two parameters, $q$ and $J$, that tune the geometry of the underlying ... More
Portable simulation framework for diffusion MRIAug 05 2019The numerical simulation of the diffusion MRI signal arising from complex tissue micro-structures is helpful for understanding and interpreting imaging data as well as for designing and optimizing MRI sequences. The discretization of the Bloch-Torrey ... More
Solving high-dimensional optimal stopping problems using deep learningAug 05 2019Nowadays many financial derivatives which are traded on stock and futures exchanges, such as American or Bermudan options, are of early exercise type. Often the pricing of early exercise options gives rise to high-dimensional optimal stopping problems, ... More
Solving high-dimensional optimal stopping problems using deep learningAug 05 2019Aug 07 2019Nowadays many financial derivatives which are traded on stock and futures exchanges, such as American or Bermudan options, are of early exercise type. Often the pricing of early exercise options gives rise to high-dimensional optimal stopping problems, ... More
A gPAV-Based Unconditionally Energy-Stable Scheme for Incompressible Flows with Outflow/Open BoundariesAug 01 2019We present an unconditionally energy-stable scheme for approximating the incompressible Navier-Stokes equations on domains with outflow/open boundaries. The scheme combines the generalized Positive Auxiliary Variable (gPAV) approach and a rotational velocity-correction ... More
Comparison of mechanical conditions in a lower leg model with 5 or 6 tissue types while exposed to prosthetic sockets applying finite element analysisJul 31 2019Lower limb amputees often suffer skin and tissue problems from using their prosthesis which is a challenging biomechanical problem. The finite element method (FEM) has previously been applied to analyse internal mechanical conditions of the leg at prosthesis ... More
Investigation of the Peeling and Pull-off Behavior of Adhesive Elastic Fibers via a Novel Computational Beam Interaction ModelJul 30 2019Jul 31 2019This article studies the fundamental problem of separating two adhesive elastic fibers based on numerical simulation employing a recently developed finite element model for molecular interactions between curved slender fibers. Specifically, it covers ... More
Investigation of the Peeling and Pull-off Behavior of Adhesive Elastic Fibers via a Novel Computational Beam Interaction ModelJul 30 2019This article studies the fundamental problem of separating two adhesive elastic fibers based on numerical simulation employing a recently developed finite element model for molecular interactions between curved slender fibers. Specifically, it covers ... More
A Computational Model for Molecular Interactions Between Curved Slender Fibers Undergoing Large 3D Deformations With a Focus on Electrostatic, van der Waals and Repulsive Steric ForcesJul 30 2019Jul 31 2019This contribution proposes the first 3D beam-to-beam interaction model for molecular interactions between curved slender fibers undergoing large deformations. While the general model is not restricted to a specific beam formulation, in the present work ... More
A Computational Model for Molecular Interactions Between Curved Slender Fibers Undergoing Large 3D Deformations With a Focus on Electrostatic, van der Waals and Repulsive Steric ForcesJul 30 2019This contribution proposes the first 3D beam-to-beam interaction model for molecular interactions between curved slender fibers undergoing large deformations. While the general model is not restricted to a specific beam formulation, in the present work ... More
Forecasting Short-term Dynamics of Fair-Weather Cumuli using Dynamic Mode DecompositionJul 30 2019Application of Dynamic Mode Decomposition to clear-sky index forecasting of shadowing effects of convective fair-weather cumulus clouds is presented. Cloud dynamics are captured by sequences of visible-light photographic video frames. This method can ... More
Efficient simulation of DC-AC power converters using Multirate Partial Differential EquationsJul 29 2019Switch-mode power converters are used in various applications to convert between different voltage (or current) levels. They use transistors to switch on and off the input voltage to generate a pulsed voltage whose arithmetic average is the desired output ... More
Semantic interoperability and characterization of data provenance in computational molecular engineeringJul 29 2019By introducing a common representational system for metadata that describe the employed simulation workflows, diverse sources of data and platforms in computational molecular engineering, such as workflow management systems, can become interoperable at ... More
Balanced Truncation Model Reduction for Lifted Nonlinear SystemsJul 28 2019We present a balanced truncation model reduction approach for a class of nonlinear systems with time-varying and uncertain inputs. First, our approach brings the nonlinear system into quadratic-bilinear~(QB) form via a process called lifting, which introduces ... More
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore SystemsJul 27 2019Innovations in Next-Generation Sequencing are enabling generation of DNA sequence data at ever faster rates and at very low cost. Large sequencing centers typically employ hundreds of such systems. Such high-throughput and low-cost generation of data ... More
A Discrete Macro-Element Method (DMEM) for the nonlinear structural assessment of masonry archesJul 26 2019The structural response of masonry arches is strongly dominated by the arch geometry, the stone block dimensions and the interaction with backfill material or surrounding walls. Due to their intrinsic discontinuous nature, the nonlinear structural response ... More
Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effectsJul 26 2019Cytotoxic chemotherapy is a common treatment for advanced prostate cancer. These tumors are also known to rely on angiogenesis, i.e., the growth of local microvasculature via chemical signaling produced by the tumor. Thus, several clinical studies have ... More
A new and consistent well model for one-phase flow in anisotropic porous media using a distributed source modelJul 26 2019A new well model for one-phase flow in anisotropic porous media is introduced, where the mass exchange between well and a porous medium is modeled by spatially distributed source terms over a small neighborhood region. To this end, we first present a ... More
A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy DatabaseJul 26 2019Aug 06 2019Physics-constrained data-driven computing is a hybrid approach that integrates universal physical laws with data-based models of experimental data to enhance scientific computing. A new data-driven simulation approach enriched with a locally convex reconstruction, ... More
WVTICs -- SPH initial conditions for everyoneJul 25 2019Jul 31 2019We present a novel and fast application to generate glass-like initial conditions for Lagrangian hydrodynamic schemes (e.g. Smoothed Particle Hydrodynamics (SPH)) following arbitrary density models based on weighted Voronoi tessellations and combine it ... More
WVTICs -- SPH initial conditions for everyoneJul 25 2019We present a novel and fast application to generate glass-like initial conditions for Lagrangian hydrodynamic schemes (e.g. Smoothed Particle Hydrodynamics (SPH)) following arbitrary density models based on weighted Voronoi tessellations and combine it ... More
Experimental Estimation of Temporal and Spatial Resolution of Coefficient of Heat Transfer in a Channel Using Inverse Heat Transfer MethodJul 24 2019In this research, a novel method to investigation the transient heat transfer coefficient in a channel is suggested experimentally, in which the water flow, itself, is considered both just liquid phase and liquid-vapor phase. The experiments were designed ... More
Data-Driven POD-Galerkin Reduced Order Model for Turbulent FlowsJul 23 2019In this work we present a Reduced Order Model which is specifically designed to deal with turbulent flows in a finite volume setting. The method used to build the reduced order model is based on the idea of merging projection-based techniques with data-driven ... More
Data-Driven POD-Galerkin Reduced Order Model for Turbulent FlowsJul 23 2019Jul 30 2019In this work we present a Reduced Order Model which is specifically designed to deal with turbulent flows in a finite volume setting. The method used to build the reduced order model is based on the idea of merging projection-based techniques with data-driven ... More
A Sketched Finite Element Method for Elliptic ModelsJul 23 2019We consider a sketched implementation of the finite element method for elliptic partial differential equations on high-dimensional models. Motivated by applications in real-time simulation and prediction we propose an algorithm that involves projecting ... More
Calculating phase diagrams with ATATJul 22 2019This document is a short and informal tutorial on some aspects of calculating phase diagrams with the ATAT-tools emc2 and phb and on creating cluster expansions with maps. It is neither complete, nor in any way an official document, but mainly a set of ... More
A fibre Smart Displacement Based (FSDB) beam element for the nonlinear analysis of R/C membersJul 19 2019Beam finite elements for non linear plastic analysis of beam-like structures are formulated according to Displacement Based (DB) or Force Based (FB) approaches. DB formulations rely on modelling the displacement field by means of displacement shape functions. ... More
Sensitivity study of ANFIS model parameters to predict the pressure gradient with combined input and outputs hydrodynamics parameters in the bubble column reactorJul 19 2019Intelligent algorithms are recently used in the optimization process in chemical engineering and application of multiphase flows such as bubbling flow. This overview of modeling can be a great replacement with complex numerical methods or very time-consuming ... More
The Effect of Data Transformations on Scalar Field Topological Analysis of High-Order FEM SolutionsJul 16 2019High-order finite element methods (HO-FEM) are gaining popularity in the simulation community due to their success in solving complex flow dynamics. There is an increasing need to analyze the data produced as output by these simulations. Simultaneously, ... More
Hydrodynamic Simulations using GPGPU ArchitecturesJul 15 2019Simulating the flow of different fluids can be a highly computational intensive process, which requires large amounts of resources. Recently there has been a lot of research effort directed towards GPU processing, which can greatly increase the performance ... More
Robust Optimization of a Permanent Magnet Synchronous Machine Considering Uncertain Driving CyclesJul 15 2019This work focuses on the robust optimization of a permanent magnet (PM) synchronous machine while considering a driving cycle. The robustification is obtained by considering uncertainties of different origins. Firstly, there are geometrical uncertainties ... More
Tensor train-Karhunen-Loève expansion for continuous-indexed random fields using higher-order cumulant functionsJul 15 2019The goals of this work are two-fold: firstly, to propose a new theoretical framework for representing random fields on a large class of multidimensional geometrical domain in the tensor train format; secondly, to develop a new algorithm framework for ... More
A stabilized total-Lagrangian SPH method for large deformation and failure in geomaterialsJul 13 2019Conventional smoothed particle hydrodynamics based on Eulerian kernels (CESPH) is widely-used in large deformation analysis in geomaterials. Despite being popular, it suffers from tensile instability and rank-deficiency; thus, it needs several numerical ... More
On the connection between the macroscopic Poisson's ratio of an isotropic discrete system and its geometrical structureJul 12 2019The use of discrete material representation in numerical models is advantageous due to the straightforward way it takes into account material heterogeneity and randomness, and the discrete and orientated nature of cracks. Unfortunately, it also restricts ... More
Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core ArchitecturesJul 12 2019In this work an astrophysical simulation code, XFLAT, is developed to study neutrino oscillations in supernovae. XFLAT is designed to utilize multiple levels of parallelism through MPI, OpenMP, and SIMD instructions (vectorization). It can run on both ... More
Non-Smooth Newton Methods for Deformable Multi-Body DynamicsJul 10 2019We present a framework for the simulation of rigid and deformable bodies in the presence of contact and friction. Our method is based on a non-smooth Newton iteration that solves the underlying nonlinear complementarity problems (NCPs) directly. This ... More
Multirate PWM balance method for the efficient field-circuit coupled simulation of power convertersJul 08 2019The field-circuit coupled simulation of switch-mode power converters with conventional time discretization is computationally expensive since very small time steps are needed to appropriately account for steep transients occurring inside the converter, ... More
Simulating convection-coupled phase-change in enthalpy form with mixed finite elementsJul 08 2019Melting and solidification processes are often affected by natural convection of the liquid, posing a multi-physics problem involving fluid flow, convective and diffusive heat transfer, and phase-change reactions. Enthalpy methods formulate this convection-coupled ... More
The gradient flow structures of thermo-poro-visco-elastic processes in porous mediaJul 06 2019In this paper, the inherent gradient flow structures of thermo-poro-visco-elastic processes in porous media are examined for the first time. In the first part, a modelling framework is introduced aiming for describing such processes as generalized gradient ... More
Finite-Volume Simulation of Capillary-Dominated Flow in Matrix-Fracture Systems using Interface ConditionsJul 05 2019In numerical simulations of multiphase flow and transport in fractured porous media, the estimation of the hydrocarbon recovery requires accurately predicting the capillary-driven imbibition rate of the wetting phase initially present in the fracture ... More
Fast optical absorption spectra calculations for periodic solid state systemsJul 05 2019We present a method to construct an efficient approximation to the bare exchange and screened direct interaction kernels of the Bethe-Salpeter Hamiltonian for periodic solid state systems via the interpolative separable density fitting technique. We show ... More