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Computational Engineering Commons

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Articles 1 - 30 of 86

Full-Text Articles in Computational Engineering

Multi-Objective Bayesian Optimization Of Super Hydrophobic Coatings On Asphalt Concrete Surfaces, Ali Nahvi, Mohammad Kazem Sadoughi, Ali Arabzadeh, Alireza Sassani, Chao Hu, Halil Ceylan, Sunghwan Kim Apr 2019

Multi-Objective Bayesian Optimization Of Super Hydrophobic Coatings On Asphalt Concrete Surfaces, Ali Nahvi, Mohammad Kazem Sadoughi, Ali Arabzadeh, Alireza Sassani, Chao Hu, Halil Ceylan, Sunghwan Kim

Ali Nahvi

Conventional snow removal strategies add direct and indirect expenses to the economy through profit lost due to passenger delays costs, pavement durability issues, contaminating the water runoff, and so on. The use of superhydrophobic (super-water-repellent) coating methods is an alternative to conventional snow and ice removal practices for alleviating snow removal operations issues. As an integrated experimental and analytical study, this work focused on optimizing superhydrophobicity and skid resistance of hydrophobic coatings on asphalt concrete surfaces. A layer-by-layer (LBL) method was utilized for spray depositing polytetrafluoroethylene (PTFE) on an asphalt concrete at different spray times and variable dosages of PTFE ...


Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski Dec 2018

Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski

Wojciech Budzianowski

No abstract provided.


Dynamic Fracture Of Pmma, Intefacial Failure, And Local Heating, Javad Mehrmashhadi, Longzhen Wang, Florin Bobaru Ph.D. Nov 2018

Dynamic Fracture Of Pmma, Intefacial Failure, And Local Heating, Javad Mehrmashhadi, Longzhen Wang, Florin Bobaru Ph.D.

Javad Mehrmashhadi

Recent impact experiments showed the influence of a strong or weak interface in a bi-layered PMMA material has on dynamic fracture mechanisms. We show that a linear elastic with brittle damage peridynamic model, which works very well for glass, leads to crack propagation speeds significantly faster than those measured experimentally in the PMMA system. We propose an explanation for this behavior: localized heating in the region near the crack tip (due to high strain rates) softens the material sufficiently to make a difference. We introduce this effect in our peridynamic model, via a bi-linear bond force-strain relationship, and the computed ...


Multi-Objective Bayesian Optimization Of Super Hydrophobic Coatings On Asphalt Concrete Surfaces, Ali Nahvi, Ali Arabzadeh, Alireza Sassani, Mohammadkazem Sadoughi, Halil Ceylan Aug 2018

Multi-Objective Bayesian Optimization Of Super Hydrophobic Coatings On Asphalt Concrete Surfaces, Ali Nahvi, Ali Arabzadeh, Alireza Sassani, Mohammadkazem Sadoughi, Halil Ceylan

Ali Nahvi

Conventional snow removal strategies add direct and indirect expenses to the economy through profit lost due to passenger delays costs, pavement durability issues, contaminating the water runoff, and so on. The use of superhydrophobic (super-water-repellent) coating methods is an alternative to conventional snow and ice removal practices for alleviating snow removal operations issues. As an integrated experimental and analytical study, this work focused on optimizing superhydrophobicity and skid resistance of hydrophobic coatings on asphalt concrete surfaces. A layer-by-layer (LBL) method was utilized for spray depositing polytetrafluoroethylene (PTFE) on an asphalt concrete at different spray times and variable dosages of PTFE ...


Fedsm 2018 Presentation, Nima Fathi, Peter Vorobieff, Seyed Sobhan Aleyasin, Goodarz Ahmadi Jul 2018

Fedsm 2018 Presentation, Nima Fathi, Peter Vorobieff, Seyed Sobhan Aleyasin, Goodarz Ahmadi

Nima Fathi

Horizontal linear shear stress apparatus offers a convenient way to study the rheology of rigid particles suspended in viscous shear flows in the laboratory. The single particle trajectories of a buoyant spherical solid particle in a linear shear flow are investigated. Reynolds numbers less than 0.1 are considered to provide the creeping flow in this investigating. The experimental apparatus provides a linear stress, Stokes, Couette flow where the wall boundary conditions of the set up can change. The two-dimensional CFD analysis is performed to simulate the primary and secondary phases of the domain. Our numerical assessment, discrete phase element ...


Vehicle Tracking And Speed Estimation From Traffic Videos, Shuai Hua, Manika Kapoor, David C. Anastasiu May 2018

Vehicle Tracking And Speed Estimation From Traffic Videos, Shuai Hua, Manika Kapoor, David C. Anastasiu

David C. Anastasiu

The rapid recent advancements in the computation ability of everyday computers have made it possible to widely apply deep learning methods to the analysis of traffic surveillance videos. Traffic flow prediction, anomaly detection, vehicle re-identification, and vehicle tracking are basic components in traffic analysis. Among these applications, traffic flow prediction, or vehicle speed estimation, is one of the most important research topics of recent years. Good solutions to this problem could prevent traffic collisions and help improve road planning by better estimating transit demand. In the 2018 NVIDIA AI City Challenge, we combine modern deep learning models with classic computer ...


Software Metrics And Dashboard, Shilpika Shilpika, George K. Thiruvathukal, Saulo Aguiar, Konstantin Läufer, Nicholas J. Hayward Oct 2017

Software Metrics And Dashboard, Shilpika Shilpika, George K. Thiruvathukal, Saulo Aguiar, Konstantin Läufer, Nicholas J. Hayward

Nicholas Hayward

Software metrics are a critical tool which provide continuous insight to products and processes and help build reliable software in mission critical environments. Using software metrics we can perform calculations that help assess the effectiveness of the underlying software or process. The two types of metrics relevant to our work is complexity metrics and in-process metrics. Complexity metrics tend to focus on intrinsic code properties like code complexity. In-process metrics focus on a higher-level view of software quality, measuring information that can provide insight into the underlying software development process.

Our aim is to develop and evaluate a metrics dashboard ...


Software Metrics And Dashboard, Shilpika Shilpika, George K. Thiruvathukal, Saulo Aguiar, Konstantin Läufer, Nicholas J. Hayward Oct 2017

Software Metrics And Dashboard, Shilpika Shilpika, George K. Thiruvathukal, Saulo Aguiar, Konstantin Läufer, Nicholas J. Hayward

Konstantin Läufer

Software metrics are a critical tool which provide continuous insight to products and processes and help build reliable software in mission critical environments. Using software metrics we can perform calculations that help assess the effectiveness of the underlying software or process. The two types of metrics relevant to our work is complexity metrics and in-process metrics. Complexity metrics tend to focus on intrinsic code properties like code complexity. In-process metrics focus on a higher-level view of software quality, measuring information that can provide insight into the underlying software development process.

Our aim is to develop and evaluate a metrics dashboard ...


Cfd Simulation Of Passenger Hazard Risk At Railway Station Platforms Due To Explosive Air Blasts, Vivian Lawrence, Sakdirat Kaewunruen, Gianni Bartoli, Charalampos Baniotopoulos Aug 2017

Cfd Simulation Of Passenger Hazard Risk At Railway Station Platforms Due To Explosive Air Blasts, Vivian Lawrence, Sakdirat Kaewunruen, Gianni Bartoli, Charalampos Baniotopoulos

Sakdirat Kaewunruen

Safety is the first priority in operating transportation and transit systems. The public and customers rely on operators to assure them the reliable and safe day-to-day uses of public transports. However, based on recent factual evidences, extreme physical and cyber threats are no longer uncommon and these unpreventable measures are even more dangerous to the public’s daily lives. Such clear examples are the terrorist attacks in Saint Petersburg in 2017, in London in 2017, in Stockholm in 2017, in Brussels in 2016, in Nice in 2016, and so many more. These examples have one thing in common. The transportation ...


High Fidelity Cfd Modeling Of Natural Ventilation In A Solar House, Mirka Deza, Baskar Ganapathysubramanian, Shan He, Ulrike Passe Jun 2017

High Fidelity Cfd Modeling Of Natural Ventilation In A Solar House, Mirka Deza, Baskar Ganapathysubramanian, Shan He, Ulrike Passe

Baskar Ganapathysubramanian

Natural ventilation is an important factor in the design of sustainable buildings; it has the potential to improve air quality, while providing thermal comfort at reduced energy costs. Computational fluid dynamics (CFD) simulations provide comprehensive information on the internal flow pattern and can be used as a design tool. The present work offers insight of natural ventilation in a fully functional building, namely, the solar facility Interlock House in Iowa. Ventilation in the house is studied during summer months with some of its furniture included. The results show quantitative agreement between numerical simulations and experiments of vertical temperature profiles for ...


Ultrasound Scatter In Heterogeneous 3d Microstructures, Brady Engle, Ronald A. Roberts, Robert Grandin Jun 2017

Ultrasound Scatter In Heterogeneous 3d Microstructures, Brady Engle, Ronald A. Roberts, Robert Grandin

Robert Grandin

This paper reports on a computational study of ultrasound propagation in heterogeneous metal microstructures. Random spatial fluctuations in elastic properties over a range of length scales relative to ultrasound wavelength can give rise to scatter-induced attenuation, backscatter noise, and phase front aberration. It is of interest to quantify the dependence of these phenomena on the microstructure parameters, for the purpose of quantifying deleterious consequences on flaw detectability, and for the purpose of material characterization. Valuable tools for estimation of microstructure parameters (e.g. grain size) through analysis of ultrasound backscatter have been developed based on approximate weak-scattering models. While useful ...


Surrogate Modeling Of Ultrasonic Testing Simulations Using Variable-Fidelity Models And Data-Driven Methods, Robert Grandin, Leifur Leifsson Jun 2017

Surrogate Modeling Of Ultrasonic Testing Simulations Using Variable-Fidelity Models And Data-Driven Methods, Robert Grandin, Leifur Leifsson

Robert Grandin

Ultrasonic testing (UT) is used to detect internal flaws in materials or to characterize material properties [1]. Computational simulations are an important part of the UT process. Having fast surrogate models for ultrasonic testing (UT) simulations is key for inverse analysis and model-assisted probability of detection (MAPOD) in the field of nondestructive evaluation. In fact, it is impractical to perform the aforementioned tasks in a timely manner using current simulation models directly. Fast surrogate models can make these processes computationally tractable. This paper presents investigations of using surrogate modeling techniques to create fast approximate models of UT simulator responses. In ...


Validation Of Utsim2, A New Ultrasonic Simulation Package, Robert Grandin, Timothy Gray Jun 2017

Validation Of Utsim2, A New Ultrasonic Simulation Package, Robert Grandin, Timothy Gray

Robert Grandin

The Center for NDE (CNDE) at Iowa State University has a long history of developing physics models for NDE and packaging these models into simulation tools which make the modeling capabilities accessible to CNDE’s industrial sponsors. Recent work at CNDE has led to the development of a new ultrasonic simulation package, UTSim2, which aims to continue this tradition of supporting industrial application of CNDE models. In order to meet this goal, UTSim2 has been designed as an extensible software package which can support previously-developed physics models as well as future models yet to be developed. Initial work has focused ...


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

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 ...


Recent Progress In Wide-Area Surveillance: Protecting Our Pipeline Infrastructure, Vijayan K. Asari, Paheding Sidike, Chen Cui, Varun Santhaseelan Oct 2016

Recent Progress In Wide-Area Surveillance: Protecting Our Pipeline Infrastructure, Vijayan K. Asari, Paheding Sidike, Chen Cui, Varun Santhaseelan

Vijayan K. Asari

The pipeline industry has millions of miles of pipes buried along the length and breadth of the country. Since none of the areas through which pipelines run are to be used for other activities, it needs to be monitored so as to know whether the right-of-way (RoW) of the pipeline is encroached upon at any point in time. Rapid advances made in the area of sensor technology have enabled the use of high end video acquisition systems to monitor the RoW of pipelines. The images captured by aerial data acquisition systems are affected by a host of factors that include ...


Strategic Cyberwar Theory - A Foundation For Designing Decisive Strategic Cyber Operations, Jan Kallberg Apr 2016

Strategic Cyberwar Theory - A Foundation For Designing Decisive Strategic Cyber Operations, Jan Kallberg

Jan Kallberg

Traditional military theory applied in cyber struggles with four challenges – anonymity, object permanence, measurable results, and rapid digital execution. In a Clausewitzian world, these challenges were non-existent. The enemy was clearly marked, the battle field was fixed, the results of the battle was visible, and it occurred not at computational speed but instead in a pace that allowed human leadership to act. Traditional military thinking does not support decisive action in a future nation state cyber conflict. The utility of cyber attacks is dependent on the institutional design of the targeted society. Strategic cyberwar theory utilizes ‘Occam’s Razor’ to ...


Modified Numerical-Analytical Analysis On Scpps, Nima Fathi, Seyed Sobhan Aleyasin, Peter Vorobieff Mar 2016

Modified Numerical-Analytical Analysis On Scpps, Nima Fathi, Seyed Sobhan Aleyasin, Peter Vorobieff

Nima Fathi

In this study an appropriate expression to estimate the output power of solar chimney power plant systems (SCPPS) was considered. Recently several mathematical models of SCPPS were derived, studied for a variety of boundary conditions, and compared against CFD calculations. An important concern for modeling SCPPS is the accuracy of the derived pressure drop and output power equation. To elucidate the matter, axisymmetric CFD analysis was performed to model the solar chimney power plant and calculate the output power for different available solar radiation. Both analytical and numerical results were compared against the available experimental data from the historical Manzanares ...


The Digital Dionysus: Nietzsche & The Network-Centric Condition Dec 2015

The Digital Dionysus: Nietzsche & The Network-Centric Condition

Dan Mellamphy

No abstract provided.


Numerical-Analytical Assessment On Solar Chimney Power Plant, Nima Fathi, Seyed Sobhan Aleyasin, Peter Vorobieff Dec 2015

Numerical-Analytical Assessment On Solar Chimney Power Plant, Nima Fathi, Seyed Sobhan Aleyasin, Peter Vorobieff

Nima Fathi

This study considers an appropriate expression to estimate the output power of solar chimney power plant systems (SCPPS). Recently several mathematical models of a solar chimney power plant were derived, studied for a variety of boundary conditions, and compared against CFD calculations. An important concern for modeling SCPPS is about the accuracy of the derived pressure drop and output power equation. To elucidate the matter, axisymmetric CFD analysis was performed to model the solar chimney power plant and calculate the output power for different available solar irradiation. Both analytical and numerical results were compared against the available experimental data from ...


Making Music More Open: Copyright, Conservation And Access Issues, Marcus R. Wigan Nov 2015

Making Music More Open: Copyright, Conservation And Access Issues, Marcus R. Wigan

Marcus R Wigan

Marcus Wigan, Institute for Social Research, Swinburne University of Technology and Monash University Sir Zelman Cowan School of Music

Making music more open: copyright, conservation and access issues

IP rights around music have come under increasing stress in the digital age. The demands of consumers for cheap, perpetual access to any and all types of music has clashed with copyright owners and artists seeking to preserve or grow existing revenues. But this emphasis on commercial rights in music has led to one area being neglected. That is music and performance of historical or niche value, especially that held by museums ...


27-10-15 Wigan Ieee Smart Cities Guadalajara Education Workshop Presentatation, Marcus R. Wigan Oct 2015

27-10-15 Wigan Ieee Smart Cities Guadalajara Education Workshop Presentatation, Marcus R. Wigan

Marcus R Wigan

Smart Cities are driven by rapid changes in both information generation and access. These are driven initially by technology, but quickly demand adaptive governance and social science demands as a result. A strategy to address the skills required - and the associated disciplines engaged - is laid out. It includes Smart Cities educational agendas from social, technology, and investment perspectives and addresses how the core skill : swift appreciation of the contributions of different disciplines and the ability to speed up genuine adaptive interworking - can be achieved. This strategy builds upon the educational and interchange commitments made in IEEE Smart Cities agreements to ...


Answer Credibility: A Language Modeling Approach To Answer Validation, Protima Banerjee, Hyoil Han Sep 2015

Answer Credibility: A Language Modeling Approach To Answer Validation, Protima Banerjee, Hyoil Han

Hyoil Han

Answer Validation is a topic of significant interest within the Question Answering community. In this paper, we propose the use of language modeling methodologies for Answer Validation, using corpus-based methods that do not require the use of external sources. Specifically, we propose a model for Answer Credibility which quantifies the reliability of a source document that contains a candidate answer and the Question’s Context Model.


Proceedings Of Naacl Hlt 2009: Short Papers , Pages 157–160, Boulder, Colorado, June 2009. C 2009 Association For Computational Linguistics Answer Credibility: A Language Modeling Approach To Answer Validation, Protima Banerjee, Hyoil Han Sep 2015

Proceedings Of Naacl Hlt 2009: Short Papers , Pages 157–160, Boulder, Colorado, June 2009. C 2009 Association For Computational Linguistics Answer Credibility: A Language Modeling Approach To Answer Validation, Protima Banerjee, Hyoil Han

Hyoil Han

Answer Validation is a topic of significant interest within the Question Answering community. In this paper, we propose the use of language modeling methodologies for Answer Validation, using corpus-based methods that do not require the use of external sources. Specifically, we propose a model for Answer Credibility which quantifies the reliability of a source document that contains a candidate answer and the Question’s Context Model.


Software Metrics And Dashboard, Shilpika Shilpika, George K. Thiruvathukal, Saulo Aguiar, Konstantin Läufer, Nicholas J. Hayward Aug 2015

Software Metrics And Dashboard, Shilpika Shilpika, George K. Thiruvathukal, Saulo Aguiar, Konstantin Läufer, Nicholas J. Hayward

George K. Thiruvathukal

Software metrics are a critical tool which provide continuous insight to products and processes and help build reliable software in mission critical environments. Using software metrics we can perform calculations that help assess the effectiveness of the underlying software or process. The two types of metrics relevant to our work is complexity metrics and in-process metrics. Complexity metrics tend to focus on intrinsic code properties like code complexity. In-process metrics focus on a higher-level view of software quality, measuring information that can provide insight into the underlying software development process.

Our aim is to develop and evaluate a metrics dashboard ...


Hemo: A Sustainable Multi-Objective Evolutionary Optimization Framework, Jianjun Hu, K. Seo, Z. Fan, R. Rosenberg, E. Goodman Jun 2015

Hemo: A Sustainable Multi-Objective Evolutionary Optimization Framework, Jianjun Hu, K. Seo, Z. Fan, R. Rosenberg, E. Goodman

Jianjun Hu

No abstract provided.


Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding, Jianjun Hu, F. Zhang Jun 2015

Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding, Jianjun Hu, F. Zhang

Jianjun Hu

No abstract provided.


Integrative Array Analyzer: A Software Package For Analysis Of Cross-Platform And Cross-Species Microarray Data, F. Pan, K. Kamath, K. Zhang, S. Pulapura, A. Achar, J. Nunez-Iglesias, Y. Huang, X. Yan, J. Han, H. Hu, M. Xu, Jianjun Hu, X. Zhou Jun 2015

Integrative Array Analyzer: A Software Package For Analysis Of Cross-Platform And Cross-Species Microarray Data, F. Pan, K. Kamath, K. Zhang, S. Pulapura, A. Achar, J. Nunez-Iglesias, Y. Huang, X. Yan, J. Han, H. Hu, M. Xu, Jianjun Hu, X. Zhou

Jianjun Hu

No abstract provided.


Scored Protein-Protein Interaction To Predict Subcellular Localizations For Yeast Using Diffusion Kernel, A. Mondal, Jianjun Hu Jun 2015

Scored Protein-Protein Interaction To Predict Subcellular Localizations For Yeast Using Diffusion Kernel, A. Mondal, Jianjun Hu

Jianjun Hu

No abstract provided.


Network Based Prediction Of Protein Localization Using Diffusion Kernel, A. Mondal, Jianjun Hu Jun 2015

Network Based Prediction Of Protein Localization Using Diffusion Kernel, A. Mondal, Jianjun Hu

Jianjun Hu

No abstract provided.


Open-Ended Robust Design Of Analog Filters Using Genetic Programming, Jianjun Hu, X. Zhong, E. Goodman Jun 2015

Open-Ended Robust Design Of Analog Filters Using Genetic Programming, Jianjun Hu, X. Zhong, E. Goodman

Jianjun Hu

No abstract provided.