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663 full-text articles. Page 1 of 25.

Experimental Validation Of A Solar-Chimney Power Plant Model, Nima Fathi, Patrick Wayne, Ignacio Trueba Monje, Peter Vorobieff 2016 University of New Mexico

Experimental Validation Of A Solar-Chimney Power Plant Model, Nima Fathi, Patrick Wayne, Ignacio Trueba Monje, Peter Vorobieff

Nima Fathi

In a solar chimney power plant system (SCPPS), the energy of buoyant hot air is converted to electrical energy. SCPPS includes a collector at ground level covered with a transparent roof. Solar radiation heats the air inside and the ground underneath. There is a tall chimney at the center of the collector, and a turbine located at the base of the chimney. Lack of detailed experimental data for validation is one of the important issues in modeling this type of power plants. We present a small-scale experimental prototype developed to perform validation analysis for modeling and simulation of SCCPS. Detailed ...


Multiscale Wind Modelling For Sustainability And Resilience, Djordje Romanic 2016 The University of Western Ontario

Multiscale Wind Modelling For Sustainability And Resilience, Djordje Romanic

Electronic Thesis and Dissertation Repository

The research presented herein is a mix of meteorological and wind engineering disciplines. In many cases, there is a gap between these two fields and this thesis is an attempt to bridge that gap through multiscale wind modelling approaches. Data and methods used in this study cover a multitude of spatial and temporal scales. Applications are in the fields of sustainability and resilience. This relationship between multiscale wind modelling and sustainability and resilience is investigated examining several case studies of three different developments: urban, rural and coastal.

An urban wind modelling methodology is proposed and applied for a specific development ...


Fractal Analysis Of Dna Sequences, Christian G. Arias, Pedro Antonio Moreno Phd, Carlos Tellez 2016 Universidad del Valle - Colombia - Georgia Institute of Technology

Fractal Analysis Of Dna Sequences, Christian G. Arias, Pedro Antonio Moreno Phd, Carlos Tellez

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


The Wotan Beowulf Cluster Project, Carson Wang, Krist Pregracke 2016 Carbondale Community High School

The Wotan Beowulf Cluster Project, Carson Wang, Krist Pregracke

ASA Multidisciplinary Research Symposium

The Wotan project moves into its second year in which high school students, in liaison with SIU, have implemented Hadoop and various experiments. Insight on the challenges and requirements of current practices in Big Data analysis will be presented.


A Cellular Automation Which Incorporates Finite Element Method And Meshless Algorithm, Yong Cai, Zeyun Chen, Weifeng Yuan 2016 Southwest University of Science and Technology

A Cellular Automation Which Incorporates Finite Element Method And Meshless Algorithm, Yong Cai, Zeyun Chen, Weifeng Yuan

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Numerical Modeling And Seismic Assessment Of Smart Isolation System For High-Speed Railway Rc Bridge Subjected To Near-Field Ground Motions, Lingkun Chen 2016 Yangzhou University

Numerical Modeling And Seismic Assessment Of Smart Isolation System For High-Speed Railway Rc Bridge Subjected To Near-Field Ground Motions, Lingkun Chen

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Application Of Numerical Simulation During The Development Of Ductile Iron Bearing Seat, Ping Li, Yanjie Zhao, Junquan Wei, Jitai Niu, Fengju Li 2016 Henan Polytechnic University

Application Of Numerical Simulation During The Development Of Ductile Iron Bearing Seat, Ping Li, Yanjie Zhao, Junquan Wei, Jitai Niu, Fengju Li

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Mhd Modeling Of A Copper Slag Cleaning Process, Hongkun Yang, Jörg Wolters, Helmut Soltner, Phillip Pischke, Sven Eckert, Jochen Fröhlich 2016 Central Institute of Engineering, Electronics and Analytics (ZEA) – Engineering and Technology (ZEA-1)

Mhd Modeling Of A Copper Slag Cleaning Process, Hongkun Yang, Jörg Wolters, Helmut Soltner, Phillip Pischke, Sven Eckert, Jochen Fröhlich

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Assisting Children Action Association Through Visual Queues And Wearable Technology, Anthony Young 2016 Chapman University

Assisting Children Action Association Through Visual Queues And Wearable Technology, Anthony Young

Computational and Data Sciences Theses

Autism Spectrum Disorder makes it difficult to for a child communicate, have social interactions and go through daily life. Visual cues are often used to help a child associate an image with an event. With technology becoming more and more advanced, we now have a way to remind a child of an event with wearable technology, such as a watch. This new technology can help a child directly with the Visual Scheduling Application and various other applications. These applications allow children and their families to be easily able to keep track of the events on their schedule and notify them ...


Simulation Of The Influence Of Preheating On Stress Distribution During Multi-Pass Repair Welding Of Cast Steel, Wen Wang, Jian-xin Zhou, Ya-jun Yin 2016 Huazhong University of Science and Technology

Simulation Of The Influence Of Preheating On Stress Distribution During Multi-Pass Repair Welding Of Cast Steel, Wen Wang, Jian-Xin Zhou, Ya-Jun Yin

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Dynamic Secondary Cooling Control With Incremental Pid Algorithm In Continuous Bloom Casting, Jian Cheng, Zhiwei Han, Qiang Liu, Houfa Shen 2016 Tsinghua University

Dynamic Secondary Cooling Control With Incremental Pid Algorithm In Continuous Bloom Casting, Jian Cheng, Zhiwei Han, Qiang Liu, Houfa Shen

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Assessment Of High Cycle Fatigue Crack Growth Under Different Stages Based On Crystal Plasticity Modeling, Duoqi Shi, Shiwei Han, Xiaoguang Yang 2016 Beihang University; Collaborative Innovation Center of Advanced Aero-engine

Assessment Of High Cycle Fatigue Crack Growth Under Different Stages Based On Crystal Plasticity Modeling, Duoqi Shi, Shiwei Han, Xiaoguang Yang

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Mpfem Simulation On 2d Compaction Of Core–Shell Particulate Composites, Yu Liu, Fen Huang, Peng Han, Xizhong An, Haitao Fu 2016 Northeastern University

Mpfem Simulation On 2d Compaction Of Core–Shell Particulate Composites, Yu Liu, Fen Huang, Peng Han, Xizhong An, Haitao Fu

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Gpu-Arraysort: A Parallel, In-Place Algorithm For Sorting Large Number Of Arrays, Muaaz Awan, Fahad Saeed 2016 WMU

Gpu-Arraysort: A Parallel, In-Place Algorithm For Sorting Large Number Of Arrays, Muaaz Awan, Fahad Saeed

Parallel Computing and Data Science Lab Technical Reports

Modern day analytics deals with big datasets from diverse fields. For many application the data is in the form of an array which consists of large number of smaller arrays. Existing techniques focus on sorting a single large array and cannot be used for sorting large number of smaller arrays in an efficient manner. Currently no such algorithm is available which can sort such large number of arrays utilizing the massively parallel architecture of GPU devices. In this paper we present a highly scalable parallel algorithm, called GPU-ArraySort, for sorting large number of arrays using a GPU. Our algorithm performs ...


Experimental And Artificial Neural Network, Dr. Sandip k. lahiri 2016 National Insititute of technology, Durgapur,India

Experimental And Artificial Neural Network, Dr. Sandip K. Lahiri

Dr. Sandip Kumar Lahiri

A pilot scale Upflow Anaerobic Contactor(UAC), based on upflow sludge blanket principle, wasdesigned to treat vinasse waste obtained from beetmolasses fermentation. An assessment of the anaerobicdigestion of vinasse was carried out for the production ofbiogas as a source of energy. Average Organic loading
rate (OLR) was around 7.5 gCOD/m3/day in steady state,

increasing upto 8.1 gCOD/m3/day. The anaerobic digestion

was conducted at mesophilic (3037 °C) temperature
and a stable operating condition was achieved after 81days with average production of 65% methane whichcorresponded to a maximum biogas production of 85 l ...


Multi-Objective Optimization Under Uncertainty Using The Hyper-Volume Expected Improvement, Martin Figura, Piyush Pandita, Rohit K. Tripathy, Ilias Bilionis 2016 South Carolina State University

Multi-Objective Optimization Under Uncertainty Using The Hyper-Volume Expected Improvement, Martin Figura, Piyush Pandita, Rohit K. Tripathy, Ilias Bilionis

The Summer Undergraduate Research Fellowship (SURF) Symposium

The design of real engineering systems requires the optimization of multiple quantities of interest. In the electric motor design, one wants to maximize the average torque and minimize the torque variation. A study has shown that these attributes vary for different geometries of the rotor teeth. However, simulations of a large number of designs cannot be performed due to their high cost. In many problems, design optimization of multi-objective functions is a very challenging task due to the difficulty to evaluate the expectation of the objectives. Current multi-objective optimization (MOO) techniques, e.g., evolutionary algorithms cannot solve such problems because ...


Design Optimization Of A Stochastic Multi-Objective Problem: Gaussian Process Regressions For Objective Surrogates, Juan Sebastian Martinez, Piyush Pandita, Rohit K. Tripathy, Ilias Bilionis 2016 Universidad de Los Andes - Colombia

Design Optimization Of A Stochastic Multi-Objective Problem: Gaussian Process Regressions For Objective Surrogates, Juan Sebastian Martinez, Piyush Pandita, Rohit K. Tripathy, Ilias Bilionis

The Summer Undergraduate Research Fellowship (SURF) Symposium

Multi-objective optimization (MOO) problems arise frequently in science and engineering situations. In an optimization problem, we want to find the set of input parameters that generate the set of optimal outputs, mathematically known as the Pareto frontier (PF). Solving the MOO problem is a challenge since expensive experiments can be performed only a constrained number of times and there is a limited set of data to work with, e.g. a roll-to-roll microwave plasma chemical vapor deposition (MPCVD) reactor for manufacturing high quality graphene. State-of-the-art techniques, e.g. evolutionary algorithms; particle swarm optimization, require a large amount of observations and ...


Solution Of Fully-Coupled Shallow Water Equations And Contaminant Transport Using A Primitive Variable Riemann Solver And A Semi-Discrete Supg Method, Faranak Behzadi 2016 University of Tennessee at Chattanooga

Solution Of Fully-Coupled Shallow Water Equations And Contaminant Transport Using A Primitive Variable Riemann Solver And A Semi-Discrete Supg Method, Faranak Behzadi

Masters Theses and Doctoral Dissertations

In the present dissertation, a finite volume and a finite element model are developed and tuned for the solution of the fully-coupled two-dimensional Shallow Water and Contaminant transport Equations with arbitrary bed topography and wetting-drying fronts. A Riemann-solver finite volume scheme, using primitive variables rather than conserved variables, and a semi-discrete Streamline Upwind Petrov-Galerkin (SUPG) method in finite element context are applied to compare the performance of these two numerical models. The Riemann-solver scheme is based on the unstructured finite volume discretization using primitive-variable Roe-flux approximation with an entropy fix. Second-order accuracy in space and time, an implicit scheme based ...


Least Squares Spectral Element Method For Laminar And Turbulent Flows, –Continuous And Discontinuous Approaches–, Jaber Javanshir Hasbestan 2016 University of Tennessee at Chattanooga

Least Squares Spectral Element Method For Laminar And Turbulent Flows, –Continuous And Discontinuous Approaches–, Jaber Javanshir Hasbestan

Masters Theses and Doctoral Dissertations

In this research, application of a least squares spectral element method for compressible laminar and turbulent flow problems is investigated. For the turbulent Reynolds Averaged Navier-Stokes (RANS), a modified Spalart-Allmaras (SA) turbulence model is employed and integrated with the mean flow equations in a segregated fashion. Two different approaches are presented for solving the SA model using the least squares method. The first method represents a simple rearrangement of the equation. However, proper arrangement of the SAmodel is required in order to produce a stable scheme for the least squares methodology. The second approach is into divide the SA equation ...


Lattice Boltzmann Methods For Wind Energy Analysis, Stephen Lloyd Wood 2016 University of Tennessee, Knoxville

Lattice Boltzmann Methods For Wind Energy Analysis, Stephen Lloyd Wood

Doctoral Dissertations

An estimate of the United States wind potential conducted in 2011 found that the energy available at an altitude of 80 meters is approximately triple the wind energy available 50 meters above ground. In 2012, 43% of all new electricity generation installed in the U.S. (13.1 GW) came from wind power. The majority of this power, 79%, comes from large utility scale turbines that are being manufactured at unprecedented sizes. Existing wind plants operate with a capacity factor of only approximately 30%. Measurements have shown that the turbulent wake of a turbine persists for many rotor diameters, inducing ...


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