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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

Exploring Feasible Design Spaces for Heterogeneous ConstraintsJul 02 2019We demonstrate an approach of exploring design spaces to simultaneously satisfy kinematics- and physics-based requirements. We present a classification of constraints and solvers to enable postponing optimization as far down the design workflow as possible. ... More

Exploring Feasible Design Spaces for Heterogeneous ConstraintsJul 02 2019Jul 10 2019We demonstrate an approach of exploring design spaces to simultaneously satisfy kinematics- and physics-based requirements. We present a classification of constraints and solvers to enable postponing optimization as far down the design workflow as possible. ... More

A weighted finite difference method for subdiffusive Black Scholes ModelJun 29 2019In this paper we focus on the subdiffusive Black Scholes model. The main part of our work consists of the finite difference method as a numerical approach to the option pricing in the considered model. We derive the governing fractional differential equation ... More

An efficient method to solve the mathematical model of HIV infection for CD8+ T-cellsJun 28 2019In this paper, the mathematical model of HIV infection for CD8+ T-cells is illustrated. The homotopy analysis method and the Laplace transformations are combined for solving this model. Also, the convergence theorem is proved to demonstrate the abilities ... More

Recovering the distribution of fluorophore for FDOT using cuboid approximationJun 27 2019The time-domain fluorescence diffuse optical tomography (FDOT) is theoretically and numerically investigated based on analytic expressions for a three space dimensional diffusion model. The emission light is analytically calculated by an initial boundary ... More

A study on Stokes-Brinkman dimensionless model for flow in porous mediaJun 27 2019In this work we propose a non-dimensionalization approach for the Stokes-Brinkman model for flow in porous media. We study the effect of the dimensionless number found, which will be denoted by A and named as Anna's number, has on the outflow and transition ... More

Lattice Boltzmann method for simulation of diffusion magnetic resonance imaging physics in heterogeneous tissue modelsJun 26 2019We report the first implementation of the Lattice Boltzmann method (LBM) to integrate the Bloch-Torrey equation, which describes the evolution of the transverse magnetization vector and the fate of the signal of diffusion magnetic resonance imaging (dMRI). ... More

Parametric shape optimization for combined additive-subtractive manufacturingJun 26 2019Jul 03 2019In the industrial practice, additive manufacturing processes are often followed by post-processing operations such as subtractive machining, milling, etc. to achieve the desired surface quality and dimensional accuracy. Hence, a given part must be 3D ... More

An adaptive space-time phase field formulation for dynamic fracture of brittle shells based on LR NURBSJun 25 2019We present an adaptive space-time phase field formulation for dynamic fracture of brittle shells. Their deformation is characterized by the Kirchhoff-Love thin shell theory using a curvilinear surface description. All kinematical objects are defined on ... More

Singularity formation as a wetting mechanism in a dispersionless water wave modelJun 25 2019The behavior of a class of solutions of the shallow water Airy system originating from initial data with discontinuous derivatives is considered. Initial data are obtained by splicing together self-similar parabolae with a constant background state. These ... More

A non-intrusive reduced order modeling framework for quasi-geostrophic turbulenceJun 24 2019In this study, we present a non-intrusive reduced order modeling (ROM) framework for large-scale quasi-stationary systems. The framework proposed herein exploits the time series prediction capability of long short-term memory (LSTM) recurrent neural network ... More

Compatible-Strain Mixed Finite Element Methods for 3D Compressible and Incompressible Nonlinear ElasticityJun 23 2019A new family of mixed finite element methods$-$compatible-strain mixed finite element methods (CSFEMs)$-$are introduced for three-dimensional compressible and incompressible nonlinear elasticity. A Hu-Washizu-type functional is extremized in order to ... More

Uncertainty Modeling and Analysis of the European XFEL Cavities Manufacturing ProcessJun 21 2019This paper reports on comprehensive efforts on uncertainty quantification and global sensitivity analysis for accelerator cavity design. As a case study object the TESLA shaped superconducting cavities, as produced for the European X-ray Free Electron ... More

Parameter Identification in Viscoplasticity using Transitional Markov Chain Monte Carlo MethodJun 21 2019To evaluate the cyclic behavior under different loading conditions using the kinematic and isotropic hardening theory of steel, a Chaboche viscoplastic material model is employed. The parameters of a constitutive model are usually identified by minimization ... More

Dynamic coupling between particle-in-cell and atomistic simulationsJun 19 2019We propose a method to directly couple molecular dynamics, finite element method and particle-in-cell techniques to simulate metal surface response to high electric fields. We use this method to simulate the evolution of a field emitting tip under thermal ... More

Determination of Metamaterial Parameters by Means of a Homogenization Approach Based on Asymptotic AnalysisJun 18 2019Owing to additive manufacturing techniques, a structure at millimeter length scale (macroscale) can be produced by using a lattice substructure at micrometer length scale (microscale). Such a system is called a metamaterial at the macroscale as the mechanical ... More

Multiscale cross--correlations and triangular arbitrage opportunities in the ForexJun 18 2019Multifractal Detrended Cross-Correlation methodology is applied to the foreign exchange (Forex) market. High frequency fluctuations of exchange rates of eight major world currencies over the period 2010--2018 are used to study cross-correlations. The ... More

Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian MethodsJun 17 2019To evaluate the cyclic behavior under different loading conditions using the kinematic and isotropic hardening theory of steel, a Chaboche viscoplastic material model is employed. The parameters of a constitutive model are usually identified by minimization ... More

Topologically robust CAD model generation for structural optimisationJun 17 2019Computer-aided design (CAD) models play a crucial role in the design, manufacturing and maintenance of products. Therefore, the mesh-based finite element descriptions common in structural optimisation must be first translated into CAD models. Currently, ... More

Using historical utility outage data to compute overall transmission grid resilienceJun 17 2019Given increasing risk from climate-induced natural hazards, there is growing interest in the development of methods that can quantitatively measure resilience in power systems. This work quantifies resilience in electric power transmission networks in ... More

Mixed projection- and density-based topology optimization with applications to structural assembliesJun 15 2019In this paper we present a mixed projection- and density-based topology optimization approach. The aim is to combine the benefits of both parametrizations: the explicit geometric representation provides specific controls on certain design regions while ... More

Essential Motor Cortex Signal Processing: an ERP and functional connectivity MATLAB toolbox -- User GuideJun 15 2019The purpose of this document is to help individuals use the "Essential Motor Cortex Signal Processing MATLAB Toolbox". The toolbox implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ... More

freud: A Software Suite for High Throughput Analysis of Particle Simulation DataJun 14 2019The freud Python package is a powerful library for analyzing simulation data. Written with modern simulation and data analysis workflows in mind, freud provides a Python interface to fast, parallelized C++ routines that run efficiently on laptops, workstations, ... More

Accuracy and performance of phase change and latent heat models in metal additive manufacturing process simulationJun 14 2019This work proposes a thermal finite element model for the simulation of metal powder bed fusion additive manufacturing processes on macroscale with a focus on phase change and latent heat effects. Specifically, two well-known existing schemes for the ... More

A stabilized DG cut cell method for discretizing the linear transport equationJun 13 2019We present new stabilization terms for solving the linear transport equation on a cut cell mesh using the discontinuous Galerkin (DG) method in two dimensions with piecewise linear polynomials. The goal is to allow for explicit time stepping schemes, ... More

Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAMJun 12 2019The computational cost of parametric studies currently represents the major limitation to the application of simulation-based engineering techniques in a daily industrial environment. This work presents the first nonintrusive implementation of the proper ... More

Selecting stock pairs for pairs trading while incorporating lead-lag relationshipJun 12 2019Pairs Trading is carried out in the financial market to earn huge profits from known equilibrium relation between pairs of stock. In financial markets, seldom it is seen that stock pairs are correlated at particular lead or lag. This lead-lag relationship ... More

A volume of fluid framework for interface-resolved simulations of vaporizing liquid-gas flowsJun 11 2019This work demonstrates a computational framework for simulating vaporizing, liquid-gas flows. It is developed for the general vaporization problem which solves the vaporization rate based as from the local thermodynamic equilibrium of the liquid-gas system. ... More

Efficient Parallel Simulation of Blood Flows in Abdominal AortaJun 10 2019It is known that the maximum diameter for the rupture-risk assessment of the abdominal aortic aneurysm is a generally good method, but not sufficient. Alternative features obtained with computational modeling may provide additional useful criteria. Though ... More

A Class of Analytic Solutions for Verification and Convergence Analysis of Linear and Nonlinear Fluid-Structure Interaction AlgorithmsJun 07 2019Fluid-structure interaction (FSI) problems are pervasive in the computational engineering community. The need to address challenging FSI problems has led to the development of a broad range of numerical methods addressing a variety of application-specific ... More

Mathematical modeling of a Cosserat method in finite-strain holonomic plasticityJun 06 2019This article deals with the mathematical derivation and the validation over benchmark examples of a numerical method for the solution of a finite-strain holonomic (rate-independent) Cosserat plasticity problem for materials, possibly with microstructure. ... More

Automation of Construction Quantity Take-Off: Using Building Information Modeling (BIM)Jun 06 2019Building information modeling (BIM) is a major upheaval in construction industry. Although BIM advantages in construction management has been proved in many papers reviewed, there are still many limitations that inhibit organizations to use BIM models ... More

Direct structural analysis of domains defined by point cloudsJun 05 2019This contribution presents a method that aims at the numerical analysis of solids represented by oriented point clouds. The proposed approach is based on the Finite Cell Method, a high-order immersed boundary technique that computes on a regular background ... More

A surrogate model for computational homogenization of elastostatics at finite strain using the HDMR-based neural network approximatorJun 05 2019We propose a surrogate model for two-scale computational homogenization of elastostatics at finite strains. The macroscopic constitutive law is made numerically available via an explicit formulation of the associated macro-energy density. This energy ... More

Surface Fluctuating Hydrodynamics Methods for the Drift-Diffusion Dynamics of Particles and Microstructures within Curved Fluid InterfacesJun 04 2019Jun 18 2019We introduce fluctuating hydrodynamics approaches on surfaces for capturing the drift-diffusion dynamics of particles and microstructures immersed within curved fluid interfaces of spherical shape. We take into account the interfacial hydrodynamic coupling, ... More

Surface Fluctuating Hydrodynamics Methods for the Drift-Diffusion Dynamics of Particles and Microstructures within Curved Fluid InterfacesJun 04 2019We introduce fluctuating hydrodynamics approaches on surfaces for capturing the drift-diffusion dynamics of particles and microstructures immersed within curved fluid interfaces of spherical shape. We take into account the interfacial hydrodynamic coupling, ... More

A highly efficient large eddy simulation method for DGSEM using non-linearly optimized relaxation filtersMay 31 2019In this paper, we apply a specifically designed dissipative spatial filter as sub-grid scale model within the increasingly popular discontinuous Galerkin methods and the closely related flux reconstruction high order methods for large eddy simulation. ... More

Prediction of Aerodynamic Flow Fields Using Convolutional Neural NetworksMay 30 2019An approximation model based on convolutional neural networks (CNNs) is proposed for flow field predictions. The CNN is used to predict the velocity and pressure field in unseen flow conditions and geometries given the pixelated shape of the object. In ... More

An efficient steady-state analysis of the eddy current problem using a parallel-in-time algorithmMay 30 2019This paper introduces a parallel-in-time algorithm for efficient steady-state solution of the eddy current problem. Its main idea is based on the application of the well-known multi-harmonic (or harmonic balance) approach as the coarse solver within the ... More

Evaluation of the reliability of building energy performance models for parameter estimationMay 29 2019The fidelity of a model relies both on its accuracy to predict the physical phenomena and its capability to estimate unknown parameters using observations. This article focuses on this second aspect by analyzing the reliability of two mathematical models ... More

On the comparison of three numerical methods applied to building simulation: finite-differences, RC circuit approximation and a spectral methodMay 29 2019Predictions of physical phenomena in buildings are carried out by using physical models formulated as a mathematical problem and solved by means of numerical methods, aiming at evaluating, for instance, the building thermal or hygrothermal performance ... More

DBFFT: A displacement based FFT approach for homogenization of the mechanical behaviorMay 27 2019All the FFT-based methods available for homogenization of the mechanical response share a common point: the unknown field is the strain/deformation gradient, second order tensors which compatibility is imposed using Green's function or projection operators. ... More

An Unconditionally Stable First-Order Constraint Solver for Multibody SystemsMay 26 2019This article describes an absolutely stable, first-order constraint solverfor multi-rigid body systems that calculates (predicts) constraint forces for typical bilateral and unilateral constraints, contact constraints with friction, and many other constraint ... More

Particle swarm optimization model to predict scour depth around bridge pierMay 26 2019Scour depth around bridge piers plays a vital role in the safety and stability of the bridges. Existing methods to predict scour depth are mainly based on regression models or black box models in which the first one lacks enough accuracy while the later ... More

EPCI: A New Tool for Predicting Absolute Permeability from CT imagesMay 25 2019A new and fast Matlab algorithm for predicting absolute permeability is presented. The developed tool relies on measuring the connectivity of pores in a given three-dimensional (3D) micro-CT rock image. An index of pore connectivity is introduced. After ... More

Meshfree Methods on Manifolds for Hydrodynamic Flows on Curved Surfaces: A Generalized Moving Least-Squares (GMLS) ApproachMay 24 2019We utilize generalized moving least squares (GMLS) to develop meshfree techniques for discretizing hydrodynamic flow problems on manifolds. We use exterior calculus to formulate incompressible hydrodynamic equations in the Stokesian regime and handle ... More

User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor DecompositionMay 23 2019The new financial European regulations such as PSD2 are changing the retail banking services. Noticeably, the monitoring of the personal expenses is now opened to other institutions than retail banks. Nonetheless, the retail banks are looking to leverage ... More

Non-Negative PARATUCK2 Tensor Decomposition Combined to LSTM Network For Smart Contracts ProfilingMay 23 2019Smart contracts are programs stored and executed on a blockchain. The Ethereum platform, an open-source blockchain-based platform, has been designed to use these programs offering secured protocols and transaction costs reduction. The Ethereum Virtual ... More

Modeling Smart Contracts Activities: A Tensor Based ApproachMay 23 2019Smart contracts are autonomous software executing predefined conditions. Two of the biggest advantages of the smart contracts are secured protocols and transaction costs reduction. On the Ethereum platform, an open-source blockchain-based platform, smart ... More

A consistent and comprehensive computational approach for general Fluid-Structure-Contact Interaction problemsMay 23 2019We present a consistent approach that allows to solve challenging general nonlinear fluid-structure-contact interaction (FSCI) problems. The underlying continuous formulation includes both "no-slip" fluid-structure interaction as well as frictionless ... More

Semi-Lagrangian Subgrid Reconstruction for Advection-Dominant Multiscale ProblemsMay 21 2019We introduce a new framework of numerical multiscale methods for advection-dominated problems motivated by climate sciences. Current numerical multiscale methods (MsFEM) work well on stationary elliptic problems but have difficulties when the model involves ... More

Semi-Lagrangian Subgrid Reconstruction for Advection-Dominant Multiscale ProblemsMay 21 2019May 24 2019We introduce a new framework of numerical multiscale methods for advection-dominated problems motivated by climate sciences. Current numerical multiscale methods (MsFEM) work well on stationary elliptic problems but have difficulties when the model involves ... More

Low-pass-filter-based shock response spectrum and the evaluation method of transmissibility between equipment and sensitive components interfacesMay 21 2019According to the features of the sources of pyroshock and ballistic shock, this study considers the pyroshock and ballistic shock generated by their respective impulsive sources as damped harmonic waves with different frequencies. According to the linear ... More

Mathematical method for calculating batch fragmentations and their impacts on product recall within a FIFO assignment policyMay 21 2019This study explores the interactions between order sizes, batch sizes and potential product recalls within a FIFO assignment policy. Evidence is provided that the extent of a product recall is related to the fragmentation of the batches of input materials ... More

A new Fragile Points Method (FPM) in computational mechanics, based on the concepts of Point Stiffnesses and Numerical Flux CorrectionsMay 21 2019In this paper, a new method, named the Fragile Points Method (FPM), is developed for computer modeling in engineering and sciences. In the FPM, simple, local, polynomial, discontinuous and Point-based trial and test functions are proposed based on randomly ... More

An Adaptive Quasi-Continuum Approach for Modeling Fracture in Networked Materials: Application to Modeling of Polymer NetworksMay 21 2019Materials with network-like microstructure, including polymers, are the backbone for many natural and human-made materials such as gels, biological tissues, metamaterials, and rubbers. Fracture processes in these networked materials are intrinsically ... More

Distribution Electricity Pricing under UncertaintyMay 18 2019Distribution locational marginal prices (DLMPs) facilitate the efficient operation of low-voltage electric power distribution systems. We propose an approach to internalize the stochasticity of renewable distributed energy resources (DERs) and risk tolerance ... More

Distribution Electricity Pricing under UncertaintyMay 18 2019May 27 2019Distribution locational marginal prices (DLMPs) facilitate the efficient operation of low-voltage electric power distribution systems. We propose an approach to internalize the stochasticity of renewable distributed energy resources (DERs) and risk tolerance ... More

Multigrid-reduction-in-time for Eddy Current problemsMay 16 2019Parallel-in-time methods have shown success for reducing the simulation time of many time-dependent problems. Here, we consider applying the multigrid-reduction-in-time (MGRIT) algorithm to a voltage-driven eddy current model problem.

Electre-Score: A first outranking based method for scoring actionsMay 15 2019In this paper we present (to the best of our knowledge) the first outranking method to assign a score to each alternative. It is a method of the Electre family, and we will call it Electre-Score. Contrarily to the Multi-Attribute Value Theory methods, ... More

Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade DesignMay 15 2019In this work, we present the results of a ship propeller design optimization campaign carried out in the framework of the research project PRELICA, funded by the Friuli Venezia Giulia regional government. The main idea of this work is to operate on a ... More

Pareto-Optimal Allocation of Transactive Energy at Market Equilibrium in Distribution Systems: A Constrained Vector Optimization ApproachMay 15 2019In a grid constrained transactive distribution system market, distribution locational marginal pricing DLMP is influenced by the distance from the substation to an energy user, thereby causing households that are further away from the substation to be ... More

Pareto-Optimal Allocation of Transactive Energy at Market Equilibrium in Distribution Systems: A Constrained Vector Optimization ApproachMay 15 2019Jun 10 2019In a grid constrained transactive distribution system market, distribution locational marginal pricing DLMP is influenced by the distance from the substation to an energy user, thereby causing households that are further away from the substation to be ... More

Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizationsMay 14 2019This work presents a novel methodology for speeding up the assembly of stiffness matrices for laminate composite 3D structures in the context of isogeometric and finite element discretizations. By splitting the involved terms into their in-plane and out-of-plane ... More

Synthetic aperture imaging with intensity-only dataMay 13 2019We consider imaging the reflectivity of scatterers from intensity-only data recorded by a single moving transducer that both emits and receives signals, forming a synthetic aperture. By exploiting frequency illumination diversity, we obtain multiple intensity ... More

Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series PredictionMay 13 2019Reliable and accurate prediction of time series plays a crucial role in maritime industry, such as economic investment, transportation planning, port planning and design, etc. The dynamic growth of maritime time series has the predominantly complex, nonlinear ... More

Adaptive surrogate models for parametric studiesMay 12 2019The computational effort for the evaluation of numerical simulations based on e.g. the finite-element method is high. Metamodels can be utilized to create a low-cost alternative. However the number of required samples for the creation of a sufficient ... More

Diversification Across Mining Pools: Optimal Mining Strategies under PoWMay 12 2019Mining is a central operation of all proof-of-work (PoW) based cryptocurrencies. The vast majority of miners today participate in "mining pools" instead of "solo mining" in order to lower risk and achieve a more steady income. However, this rise of participation ... More

Diversification Across Mining Pools: Optimal Mining Strategies under PoWMay 12 2019Jun 06 2019Mining is a central operation of all proof-of-work (PoW) based cryptocurrencies. The vast majority of miners today participate in "mining pools" instead of "solo mining" in order to lower risk and achieve a more steady income. However, this rise of participation ... More

Efficient solutions for nonlocal diffusion problems via boundary-adapted spectral methodsMay 09 2019We introduce an efficient boundary-adapted spectral method for peridynamic diffusion problems with arbitrary boundary conditions. The spectral approach transforms the convolution integral in the peridynamic formulation into a multiplication in the Fourier ... More

An Efficient and high accuracy finite-difference scheme for the acoustic wave equation in 3D heterogeneous mediaMay 09 2019Efficient and accurate numerical simulation of 3D acoustic wave propagation in heterogeneous media plays an important role in the success of seismic full waveform inversion (FWI) problem. In this work, we employed the combined scheme and developed a new ... More

A simulation method for fatigue-driven delamination in layered structures involving non-negligible fracture process zones and arbitrarily shaped crack frontsMay 09 2019Most of the existing methods for fatigue-driven delamination are limited to two-dimensional (2D) applications or their predictive capabilities have not been validated in three-dimensional (3D) problems. This work presents a new cohesive zone-based computational ... More

Predicting Dynamic Modulus of Asphalt Mixture Using Data Obtained from Indirect Tension Mode of TestingMay 08 2019Understanding stress-strain behavior of asphalt pavement under repetitive traffic loading is of critical importance to predict pavement performance and service life. For viscoelastic materials, the stress-strain relationship can be represented by the ... More

Modern theory of hydraulic fracture modeling with using explicit and implicit schemesMay 08 2019The paper presents novel results, obtained on the basis of the modified theory of hydraulic fractures (HF). The theory underlines significance of the speed equation. When applied to numerical simulation of HF, the theory reveals three distinct issues: ... More

Design and Optimization of Conforming Lattice StructuresMay 08 2019Inspired by natural cellular materials such as trabecular bone, lattice structures have been developed as a new type of lightweight material. In this paper we present a novel method to design lattice structures that conform with both the principal stress ... More

Multifidelity probability estimation via fusion of estimatorsMay 07 2019This paper develops a multifidelity method that enables estimation of failure probabilities for expensive-to-evaluate models via information fusion and importance sampling. The presented general fusion method combines multiple probability estimators with ... More

Bayesian Optimization using Deep Gaussian ProcessesMay 07 2019Bayesian Optimization using Gaussian Processes is a popular approach to deal with the optimization of expensive black-box functions. However, because of the a priori on the stationarity of the covariance matrix of classic Gaussian Processes, this method ... More

An extended Elrod-Adams model to account for backpressure and blow-by inceptionMay 06 2019The Piston-Ring-Liner system is the main tribological component of internal combustion engines. The Elrod-Adams model is customarily used to numerically assess the hydrodynamics of different ring designs and liner surface treatments. However, that model ... More

Topology optimization on two-dimensional manifoldsMay 06 2019May 25 2019Topology optimization is one of the most-used method to inversely determine the geometrical configurations of structures. In the current density method-based topology optimization, the design variable used to represent the structure was usually defined ... More

Topology optimization on two-dimensional manifoldsMay 06 2019Topology optimization is one of the most-used method to inversely determine the geometrical configurations of structures. In the current density method-based topology optimization, the design variable used to represent the structure was usually defined ... More

Topology optimization on two-dimensional manifoldsMay 06 2019Jun 17 2019Topology optimization is one of the most-used method to inversely determine the geometrical configurations of structures. In the current density method-based topology optimization, the design variable used to represent the structure was usually defined ... More

Numerical Modelling of Crack Initiation, Propagation and Branching under Dynamic LoadingMay 05 2019In this paper crack initiation, propagation and branching phenomena are simulated using the Pseudo-Spring Smooth Particle Hydrodynamics (SPH) in two and three-dimensional domains. The pseudo-spring analogy is used to model material damage. Here, the interaction ... More

An Improved Accurate Solver for the Time-Dependent RTE in Underwater Optical Wireless CommunicationsMay 04 2019In this paper, an improved numerical solver to evaluate the time-dependent radiative transfer equation (RTE) for underwater optical wireless communications (UOWC) is investigated. The RTE evaluates the optical path-loss of light wave in an underwater ... More

On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode DecompositionMay 03 2019The increasing availability of sensor data at machine tools makes automatic chatter detection algorithms a trending topic in metal cutting. Two prominent and advanced methods for feature extraction via signal decomposition are Wavelet Packet Transform ... More

Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticityMay 01 2019We preset a computational study of bending models for the curvature elasticity of lipid bilayer membranes that are relevant for simulations of vesicles and red blood cells. We compute bending energy and forces on triangulated meshes and evaluate and extend ... More

Fast Mesh Refinement in Pseudospectral Optimal ControlApr 29 2019Mesh refinement in pseudospectral (PS) optimal control is embarrassingly easy --- simply increase the order $N$ of the Lagrange interpolating polynomial and the mathematics of convergence automates the distribution of the grid points. Unfortunately, as ... More

Computational Design of Finite Strain Auxetic Metamaterials via Topology Optimization and Nonlinear HomogenizationApr 25 2019A novel computational framework for designing metamaterials with negative Poisson's ratio over a large strain range is presented in this work by combining the density-based topology optimization together with a mixed stress/deformation driven nonlinear ... More