Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Utah State University

Series

Discipline
Keyword
Publication Year
Publication
File Type

Articles 121 - 150 of 1704

Full-Text Articles in Engineering

Minimising Induced Drag With Weight Distribution, Lift Distribution, Wingspan, And Wing-Structure Weight, Warren F. Phillips, Douglas F. Hunsaker, Jeffrey D. Taylor Aug 2020

Minimising Induced Drag With Weight Distribution, Lift Distribution, Wingspan, And Wing-Structure Weight, Warren F. Phillips, Douglas F. Hunsaker, Jeffrey D. Taylor

Mechanical and Aerospace Engineering Student Publications and Presentations

Because the wing-structure weight required to support the critical wing section bending moments is a function of wingspan, net weight, weight distribution, and lift distribution, there exists an optimum wingspan and wing-structure weight for any fixed net weight, weight distribution, and lift distribution, which minimises the induced drag in steady level flight. Analytic solutions for the optimum wingspan and wing-structure weight are presented for rectangular wings with four different sets of design constraints. These design constraints are fixed lift distribution and net weight combined with 1) fixed maximum stress and wing loading, 2) fixed maximum deflection and wing loading, 3) …


Collaborative Research: Network Hub: Enabling, Supporting, And Communicating Critical Zone Research, Jeffery S. Horsburgh Jul 2020

Collaborative Research: Network Hub: Enabling, Supporting, And Communicating Critical Zone Research, Jeffery S. Horsburgh

Funded Research Records

No abstract provided.


Discovery Of A Novel Analogue Of Fr901533 And The Corresponding Biosynthetic Gene Cluster From Streptosporangium Roseum No. 79089, Fuchao Xu, Yonghong Liang, Jie Ren, Siyuan Wang, Jixun Zhan Jul 2020

Discovery Of A Novel Analogue Of Fr901533 And The Corresponding Biosynthetic Gene Cluster From Streptosporangium Roseum No. 79089, Fuchao Xu, Yonghong Liang, Jie Ren, Siyuan Wang, Jixun Zhan

Biological Engineering Faculty Publications

FR901533 (1, also known as WS79089B), WS79089A (2), and WS79089C (3) are polycyclic aromatic natural products with promising inhibitory activity to endothelin-converting enzymes. In this work, we isolated five tridecaketide products from Streptosporangium roseum No. 79089, including 1-3, benaphthamycin (4) and a novel FR901533 analogue (5). The structure of 5 was characterized based on spectroscopic data. Compared to the major product 2, the new compound 5 has an additional hydroxyl group at C-12 and an extra methyl group at the 13-OH. The configuration of C-19 of these compounds …


Improving Thermal Conduction Across Cathode/Electrolyte Interfaces In Solid-State Lithium-Ion Batteries By Hierarchical Hydrogen-Bond Network, Jinlong He, Lin Zhang, Ling Liu Jul 2020

Improving Thermal Conduction Across Cathode/Electrolyte Interfaces In Solid-State Lithium-Ion Batteries By Hierarchical Hydrogen-Bond Network, Jinlong He, Lin Zhang, Ling Liu

Mechanical and Aerospace Engineering Student Publications and Presentations

Effective thermal management is an important issue to ensure safety and performance of lithium-ion batteries. Fast heat removal is highly desired but has been obstructed by the high thermal resistance across cathode/electrolyte interface. In this study, self-assembled monolayers (SAMs) are used as the vibrational mediator to tune interfacial thermal conductance between an electrode, lithium cobalt oxide (LCO), and a solid state electrolyte, polyethylene oxide (PEO). Embedded at the LCO/PEO interface, SAMs are specially designed to form hierarchical hydrogen-bond (H-bond) network with PEO. Molecular dynamics simulations demonstrate that all SAM-decorated interfaces show enhanced thermal conductance and dominated by H-bonds types. The …


Greentpu: Predictive Design Paradigm For Improving Timing Error Resilience Of A Near-Threshold Tensor Processing Unit, Pramesh Pandey, Prabal Basu, Koushik Chakraborty, Sanghamitra Roy Jul 2020

Greentpu: Predictive Design Paradigm For Improving Timing Error Resilience Of A Near-Threshold Tensor Processing Unit, Pramesh Pandey, Prabal Basu, Koushik Chakraborty, Sanghamitra Roy

Electrical and Computer Engineering Faculty Publications

The emergence of hardware accelerators has brought about several orders of magnitude improvement in the speed of the deep neural-network (DNN) inference. Among such DNN accelerators, the Google tensor processing unit (TPU) has transpired to be the best-in-class, offering more than 15\times speedup over the contemporary GPUs. However, the rapid growth in several DNN workloads conspires to escalate the energy consumptions of the TPU-based data-centers. In order to restrict the energy consumption of TPUs, we propose GreenTPU - a low-power near-threshold (NTC) TPU design paradigm. To ensure a high inference accuracy at a low-voltage operation, GreenTPU identifies the patterns in …


Restoring Lake Urmia: Moving Beyond A Uniform Lake Level (2-Page Summary), Somayeh Sima, Dory Rosenberg, Wayne A. Wurtsbaugh, Sarah E. Null, Karin M. Kettenring Jul 2020

Restoring Lake Urmia: Moving Beyond A Uniform Lake Level (2-Page Summary), Somayeh Sima, Dory Rosenberg, Wayne A. Wurtsbaugh, Sarah E. Null, Karin M. Kettenring

Watershed Sciences Faculty Publications

More than 5 million people live near Lake Urmia in northwestern Iran, one of the world's largest hypersaline lakes. Over the past two decades, the lake has lost 95% of its volume, lake level has dropped more than 7 m, and lake restoration has gained widespread interest. The government seeks a uniform "ecological" target lake level of 1274.1 m above sea level to lower salinity below 240 gL-1 and recover brine shrimp (Artemia spp.) and flamingos (Phoenicopterus roseus).

We have synthesized over 40 years of available data, defined 8 ecosystem services for human health, water quality, ecology, recreation, and …


A Low-Cost, Open Source Monitoring System For Collecting High Temporal Resolution Water Use Data On Magnetically Driven Residential Water Meters, Camilo J. Bastidas Pacheco, Jeffery S. Horsburgh, Robb J. Tracy Jun 2020

A Low-Cost, Open Source Monitoring System For Collecting High Temporal Resolution Water Use Data On Magnetically Driven Residential Water Meters, Camilo J. Bastidas Pacheco, Jeffery S. Horsburgh, Robb J. Tracy

Publications

We present a low-cost (≈$150) monitoring system for collecting high temporal resolution residential water use data without disrupting the operation of commonly available water meters. This system was designed for installation on top of analog, magnetically driven, positive displacement, residential water meters and can collect data at a variable time resolution interval. The system couples an Arduino Pro microcontroller board, a datalogging shield customized for this specific application, and a magnetometer sensor. The system was developed and calibrated at the Utah Water Research Laboratory and was deployed for testing on five single family residences in Logan and Providence, Utah, for …


Existing Empirical Kinetic Models In Biochemical Methane Potential (Bmp) Testing, Their Selection And Numerical Solution, Yehor Pererva, Charles D. Miller, Ronald C. Sims Jun 2020

Existing Empirical Kinetic Models In Biochemical Methane Potential (Bmp) Testing, Their Selection And Numerical Solution, Yehor Pererva, Charles D. Miller, Ronald C. Sims

Biological Engineering Faculty Publications

Biochemical Methane Potential (BMP) tests are a crucial part of feasibility studies to estimate energy recovery opportunities from organic wastes and wastewater. Despite the large number of publications dedicated to BMP testing and numerous attempts to standardize procedures, there is no “one size fits all” mathematical model to describe biomethane formation kinetic precisely. Importantly, the kinetics models are utilized for treatability estimation and modeling processes for the purpose of scale-up. A numerical computation approach is a widely used method to determine model coefficients, as a replacement for the previously used linearization approach. However, it requires more information for each model …


Developing A Mobile Application‐Based Particle Image Velocimetry Tool For Enhanced Teaching And Learning In Fluid Mechanics: A Design‐Based Research Approach, Angela L. Minichiello, David Armijo, Sarbajit Mukherjee, Lori M. Caldwell, Vladimir Kulyukin, Tadd T. Truscott, Jack Elliott, Aditya Bhouraskar Jun 2020

Developing A Mobile Application‐Based Particle Image Velocimetry Tool For Enhanced Teaching And Learning In Fluid Mechanics: A Design‐Based Research Approach, Angela L. Minichiello, David Armijo, Sarbajit Mukherjee, Lori M. Caldwell, Vladimir Kulyukin, Tadd T. Truscott, Jack Elliott, Aditya Bhouraskar

Engineering Education Faculty Publications

A robust and intuitive understanding of fluid mechanics—the applied science of fluid motion—is foundational within many engineering disciplines, including aerospace, chemical, civil, mechanical, naval, and ocean engineering. In‐depth knowledge of fluid mechanics is critical to safe and economical design of engineering applications employed globally everyday, such as automobiles, aircraft, and sea craft, and to meeting global 21st century engineering challenges, such as developing renewable energy sources, providing access to clean water, managing the environmental nitrogen cycle, and improving urban infrastructure. Despite the fundamental nature of fluid mechanics within the broader undergraduate engineering curriculum, students often characterize courses in fluid mechanics …


Using An Embedded Researcher Approach To Explore Student Outcomes And Relationship Development During An Intensive Engineering Apprenticeship Program, Lori M. Caldwell, Angela Minichiello Jun 2020

Using An Embedded Researcher Approach To Explore Student Outcomes And Relationship Development During An Intensive Engineering Apprenticeship Program, Lori M. Caldwell, Angela Minichiello

Engineering Education Faculty Publications

The purpose of this qualitative research study was to explore the emotions, outcomes, and interpersonal relationship development of high school aged students who participated in a three-week intensive engineering apprenticeship program (EAP) during the summer of 2019. This EAP introduces students to engineering by placing them in teams and asking them to build an underwater vehicle that can complete a timed obstacle course. Program mentors provide minimal lecture based instruction and focus on encouraging each team to create their own unique design. The primary purpose of the EAP is to increase student interest in engineering by improving student understanding of …


Learning From Engineers To Develop A Model Of Disciplinary Literacy In Engineering (Year 3), Theresa Green, Angela L. Minichiello, Amy Wilson-Lopez, Christina Marie Hartman, Jared W. Garlick Jun 2020

Learning From Engineers To Develop A Model Of Disciplinary Literacy In Engineering (Year 3), Theresa Green, Angela L. Minichiello, Amy Wilson-Lopez, Christina Marie Hartman, Jared W. Garlick

Engineering Education Faculty Publications

Purpose This paper will the describe the overall project goals, activities, preliminary findings, and future work on this project. The purpose of this project is to develop a model of Disciplinary Literacy Instruction (DLI) in engineering that can be used in both K-12 and undergraduate engineering settings. This model of DLI will be informed by knowledge about the ways practicing engineers across four disciplines of engineering (i.e., electrical/computer, mechanical/aerospace, civil/environmental, and chemical/biological) read, interpret, evaluate, and generate texts in the context of their work environment. This information will be translated into a model of DLI in engineering to teach students …


The Gridded Retarding Ion Drift Sensor For The Petitsat Cubesat Mission, Ryan L. Davidson, B. Oborn, E. F. Robertson, S. Noel, G. D. Earle, J. Green, J. Kramer Jun 2020

The Gridded Retarding Ion Drift Sensor For The Petitsat Cubesat Mission, Ryan L. Davidson, B. Oborn, E. F. Robertson, S. Noel, G. D. Earle, J. Green, J. Kramer

Electrical and Computer Engineering Faculty Publications

The Gridded Retarding Ion Drift Sensor (GRIDS) is a small sensor that will fly on the 6 U petitSat CubeSat. It is designed to measure the three-dimensional plasma drift velocity vector in the Earth’s ionosphere. The GRIDS also supplies information about the ion temperature, ion density, and the ratio of light to heavy ions present in the ionospheric plasma. It utilizes well-proven techniques that have been successfully validated by similar instruments on larger satellite missions while meeting CubeSat-compatible requirements for low mass, size, and power consumption. GRIDS performs the functions of a Retarding Potential Analyzer (RPA) and an Ion Drift …


Nappe Oscillations On Free-Overfall Structures, Data From Laboratory Experiments, Maurine Lodomez, Blake Tullis, Pierre Archambeau, Vasileios Kitsikoudis, Michel Pirotton, Benjamin Dewals, Sébastien Erpicum Jun 2020

Nappe Oscillations On Free-Overfall Structures, Data From Laboratory Experiments, Maurine Lodomez, Blake Tullis, Pierre Archambeau, Vasileios Kitsikoudis, Michel Pirotton, Benjamin Dewals, Sébastien Erpicum

Publications

This paper presents a dataset obtained from fifty-two laboratory experiments of nappe oscillations on free overfall structures. Data were collected on two complementary experimental setups, each consisting of a linear weir model. The dataset covers test configurations involving varied geometric parameters (i.e. weir crest shape, weir width, fall height and nappe confinement) and inflow discharges. The following experimental data were produced: assessment of nappe oscillation occurrence and associated frequencies. The later measurements were performed using characterization techniques (image and sound analysis) developed for this research. Reuse of the collected data will support efforts to improve the understanding of the physical …


Numerical Method For Rapid Aerostructural Design And Optimization, Jeffrey D. Taylor, Douglas F. Hunsaker Jun 2020

Numerical Method For Rapid Aerostructural Design And Optimization, Jeffrey D. Taylor, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

During early phases of wing design, analytic and low-fidelity methods are often used to identify promising design concepts. In many cases, solutions obtained using these methods provide intuition about the design space that is not easily obtained using higher-fidelity methods. This is especially true for aerostructural design. However, many analytic and low-fidelity aerostructural solutions are limited in application to wings with specific planforms and weight distributions. Here, a numerical method for minimizing induced drag with structural constraints is presented that uses approximations that apply to wings with arbitrary planforms and weight distributions. The method is applied to the NASA Ikhana …


Developing Open Source Software Using Version Control Systems: An Introduction To The Git Language For Documenting Your Computational Research, Jared D. Smith, Jonathan D. Herman Jun 2020

Developing Open Source Software Using Version Control Systems: An Introduction To The Git Language For Documenting Your Computational Research, Jared D. Smith, Jonathan D. Herman

All ECSTATIC Materials

Version control systems track the history of code as it is committed (saved) by any number of developers. Have you made a coding error and cannot debug it? Version control systems allow for resetting code back to when it worked, and show what code has changed since previous commits.

The contents of this lecture provide an introduction to the git version control language, GitHub for cloud hosting open source code repositories, and tutorials that demonstrate common and useful git and GitHub practices. This lecture is intended to be coupled with a discussion on creating reproducible computational research.

The zipped folder …


Fast Summarizing Algorithm For Polygonal Statistics Over A Regular Grid, Scott Haag, David G. Tarboton, Martyn Smith, Ali Shokoufandeh May 2020

Fast Summarizing Algorithm For Polygonal Statistics Over A Regular Grid, Scott Haag, David G. Tarboton, Martyn Smith, Ali Shokoufandeh

Publications

We describe a data structure and associated algorithm called Fast Zonal Statistics (FZS) for the retrieval of the summary characteristics of an arbitrary polygon derived from a regular grid. The FZS algorithm can return numerical (e.g., mean, sum, and count) attributes for a polygonal object over a regular grid (e.g., raster data model). The computational complexity of the FZS algorithm is constant in relation to the length of the polygon perimeter. This contrasts with existing approaches which scale in relation to the polygon area, therefore we expect and measure geometric decreases in execution time using the proposed approach for simple …


3-D Printed Hybrid Propulsion Solutions For Smallsat Lunar Landing And Sample Return, Stephen A. Whitmore May 2020

3-D Printed Hybrid Propulsion Solutions For Smallsat Lunar Landing And Sample Return, Stephen A. Whitmore

Funded Research Records

No abstract provided.


Implications Of Soil And Canopy Temperature Uncertainty In The Estimation Of Surface Energy Fluxes Using Tseb2t And High-Resolution Imagery In Commercial Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian May 2020

Implications Of Soil And Canopy Temperature Uncertainty In The Estimation Of Surface Energy Fluxes Using Tseb2t And High-Resolution Imagery In Commercial Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Estimation of surface energy fluxes using thermal remote sensing–based energy balance models (e.g., TSEB2T) involves the use of local micrometeorological input data of air temperature, wind speed, and incoming solar radiation, as well as vegetation cover and accurate land surface temperature (LST). The physically based Two-source Energy Balance with a Dual Temperature (TSEB2T) model separates soil and canopy temperature (Ts and Tc) to estimate surface energy fluxes including Rn, H, LE, and G. The estimation of Ts and Tc components for the TSEB2T model relies on the linear relationship between the composite land surface temperature and a vegetation index, namely …


To What Extent Does The Eddy Covariance Footprint Cutoff Influence The Estimation Of Surface Energy Fluxes Using Two Source Energy Balance Model And High-Resolution Imagery In Commercial Vineyards?, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Louis Sanchez, Nick Dokoozlian May 2020

To What Extent Does The Eddy Covariance Footprint Cutoff Influence The Estimation Of Surface Energy Fluxes Using Two Source Energy Balance Model And High-Resolution Imagery In Commercial Vineyards?, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Louis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Validation of surface energy fluxes from remote sensing sources is performed using instantaneous field measurements obtained from eddy covariance (EC) instrumentation. An eddy covariance measurement is characterized by a footprint function / weighted area function that describes the mathematical relationship between the spatial distribution of surface flux sources and their corresponding magnitude. The orientation and size of each flux footprint / source area depends on the micro-meteorological conditions at the site as measured by the EC towers, including turbulence fluxes, friction velocity (ustar), and wind speed, all of which influence the dimensions and orientation of the footprint. The …


Estimation Of Autoregressive Parameters From Noisy Observations Using Iterated Covariance Updates, Todd K. Moon, Jacob H. Gunther May 2020

Estimation Of Autoregressive Parameters From Noisy Observations Using Iterated Covariance Updates, Todd K. Moon, Jacob H. Gunther

Electrical and Computer Engineering Faculty Publications

Estimating the parameters of the autoregressive (AR) random process is a problem that has been well-studied. In many applications, only noisy measurements of AR process are available. The effect of the additive noise is that the system can be modeled as an AR model with colored noise, even when the measurement noise is white, where the correlation matrix depends on the AR parameters. Because of the correlation, it is expedient to compute using multiple stacked observations. Performing a weighted least-squares estimation of the AR parameters using an inverse covariance weighting can provide significantly better parameter estimates, with improvement increasing with …


Empirical Models For Predicting Water And Heat Flow Properties Of Permafrost Soils, Michael T. O'Connor, M. Bayani Cardenas, Stephen B. Ferencz, Yue Wu, Bethany T. Neilson, Jingyi Chen, George W. Kling May 2020

Empirical Models For Predicting Water And Heat Flow Properties Of Permafrost Soils, Michael T. O'Connor, M. Bayani Cardenas, Stephen B. Ferencz, Yue Wu, Bethany T. Neilson, Jingyi Chen, George W. Kling

Publications

Warming and thawing in the Arctic are promoting biogeochemical processing and hydrologic transport in carbon‐rich permafrost and soils that transfer carbon to surface waters or the atmosphere. Hydrologic and biogeochemical impacts of thawing are challenging to predict with sparse information on arctic soil hydraulic and thermal properties. We developed empirical and statistical models of soil properties for three main strata in the shallow, seasonally thawed soils above permafrost in a study area of ~7,500 km2 in Alaska. The models show that soil vertical stratification and hydraulic properties are predictable based on vegetation cover and slope. We also show that …


Estimation Of Evapotranspiration And Energy Fluxes Using A Deep-Learning-Based High-Resolution Emissivity Model And The Two-Source Energy Balance Model With Suas Information, Alfonso F. Torres-Rua, Andres Ticlavilca, Mahyar Aboutalebi, Héctor Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Joseph Alfieri, Lawrence Hipps, Lynn Mckee, William Kustas, Calvin Coopmans, Nick Dokoozlian May 2020

Estimation Of Evapotranspiration And Energy Fluxes Using A Deep-Learning-Based High-Resolution Emissivity Model And The Two-Source Energy Balance Model With Suas Information, Alfonso F. Torres-Rua, Andres Ticlavilca, Mahyar Aboutalebi, Héctor Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Joseph Alfieri, Lawrence Hipps, Lynn Mckee, William Kustas, Calvin Coopmans, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Surface temperature is necessary for the estimation of energy fluxes and evapotranspiration from satellites and airborne data sources. For example, the Two-Source Energy Balance (TSEB) model uses thermal information to quantify canopy and soil temperatures as well as their respective energy balance components. While surface (also called kinematic) temperature is desirable for energy balance analysis, obtaining this temperature is not straightforward due to a lack of spatially estimated narrowband (sensor-specific) and broadband emissivities of vegetation and soil, further complicated by spectral characteristics of the UAV thermal camera. This study presents an effort to spatially model narrowband and broadband emissivities for …


Isolation And Selective Glycosylation Of Antisalmonellal Anthraquinones From The Stem Bark Of Morinda Lucida Benth. (Rubiaceae), Napoleon A. Mfonku, James A. Mbah, Norbert Kodjio, Donatien Gatsing, Jixun Zhan May 2020

Isolation And Selective Glycosylation Of Antisalmonellal Anthraquinones From The Stem Bark Of Morinda Lucida Benth. (Rubiaceae), Napoleon A. Mfonku, James A. Mbah, Norbert Kodjio, Donatien Gatsing, Jixun Zhan

Biological Engineering Faculty Publications

In this work we report the isolation, identification and antibacterial activity of two anthraquinones, 2-hydroxy-1-methoxyanthraquinone (1) and 2,5-dihydroxy-1-methoxy-6-methoxymethylanthraquinone (2), from the stem bark of Morinda lucida. These two natural products were selectively converted into two new glycosylated derivatives, 2-hydroxy-1-methoxyanthraquinone-4′-O-methyl-2-O-β-d-glucopyranoside (3) and 2,5-dihydroxy-1-methoxy-6-methoxymethylanthraquinone-4′-O-methyl-2-O-β-d-glucopyranoside (4) by the filamentous fungus Beauveria bassiana ATCC 7159. Structure elucidation was accomplished based on the 1D and 2D NMR, IR and mass spectra. The glycosylated compounds 3 and 4 showed higher in vitro antibacterial activity against Salmonella enterica subsp. enterica sérovars Typhimurim (MIC of 8 μg/mL each) than the corresponding aglycons 1 and 2 (MIC of …


Quantitative Assessment Of Contested Water Uses And Management In The Conflict-Torn Yarmouk River Basin, Nicolas Avisse, Amaury Tilmant, David E. Rosenberg, Samer Talozi May 2020

Quantitative Assessment Of Contested Water Uses And Management In The Conflict-Torn Yarmouk River Basin, Nicolas Avisse, Amaury Tilmant, David E. Rosenberg, Samer Talozi

Civil and Environmental Engineering Faculty Publications

The Yarmouk River basin is shared between Syria, Jordan, and Israel. Since the 1960s, Yarmouk River flows have declined more than 85% despite the signature of bilateral agreements. Syria and Jordan blame each other for the decline and have both developed their own explanatory narratives: Jordan considers that Syria violated their 1987 agreement by building more dams than what was agreed on, while Syria blames climate change. In fact, because the two countries do not share information, neither on hydrological flows nor on water management, it is increasingly difficult to distinguish between natural and anthropogenic factors affecting the flow regime. …


Integrating Hydrologic Modeling Web Services With Online Data Sharing To Prepare, Store, And Execute Hydrologic Models, Tian Gan, David G. Tarboton, Pabitra Dash, Tseganeh Z. Gichamo, Jeffery S. Horsburgh May 2020

Integrating Hydrologic Modeling Web Services With Online Data Sharing To Prepare, Store, And Execute Hydrologic Models, Tian Gan, David G. Tarboton, Pabitra Dash, Tseganeh Z. Gichamo, Jeffery S. Horsburgh

Civil and Environmental Engineering Faculty Publications

Web based applications, web services, and online data and model sharing technology are becoming increasingly available to support hydrologic research. This promises benefits in terms of collaboration, computer platform independence, and reproducibility of modeling workflows and results. In this research, we designed an approach that integrates hydrologic modeling web services with an online data sharing system to support web-based simulation for hydrologic models. We used this approach to integrate example systems as a case study to support reproducible snowmelt modeling for a test watershed in the Colorado River Basin, USA. We demonstrated that this approach enabled users to work within …


Energy Dissipation Of Type A Piano Key Weirs, Kam R. Eslinger, Brian M. Crookston Apr 2020

Energy Dissipation Of Type A Piano Key Weirs, Kam R. Eslinger, Brian M. Crookston

Publications

A Piano Key weir (PK weir) is a nonlinear, labyrinth-type weir well suited for rehabilitation projects due to a relatively small footprint and the ability to pass large discharges for lesser upstream-head values when compared with other weir types. A critical component of a hydraulic structure is the energy-dissipative properties. Currently, information and guidance is limited, with previous energy dissipation studies of PK weirs primarily of specific projects. Therefore, to document and quantify energy dissipation, four laboratory-scale Type A PK weir models with different width ratios (Wi/Wo) were studied, with 255 tests comprising this new …


Change Of Exposure Time Mid-Test In High Temperature Dic Measurement, Thinh Quang Thai, Adam J. Smith, Robert J. Rowley, Paul R. Gradl, Ryan B. Berke Apr 2020

Change Of Exposure Time Mid-Test In High Temperature Dic Measurement, Thinh Quang Thai, Adam J. Smith, Robert J. Rowley, Paul R. Gradl, Ryan B. Berke

Mechanical and Aerospace Engineering Faculty Publications

Performing digital image correlation (DIC) at extreme temperatures has been greatly challenging due to the radiation which saturates the camera sensor. At such high temperatures, the light intensity emitted from an object is occasionally so powerful that the acquired images are overwhelmingly saturated. This induces data loss, potentially ruining the test, thus requiring the user to restart the test. For this reason, selection of an appropriate camera sensitivity plays a crucial role prior to beginning the test. Exposure time is a factor contributing to camera sensitivity and it is the easiest setting to manipulate during the test since it introduces …


Acute Mechanical Stress In Primary Porcine Rpe Cells Induces Angiogenic Factor Expression And In Vitro Angiogenesis, Farhad Farjood, Amir Ahmadpour, Sassan Ostvar, Elizabeth Vargis Apr 2020

Acute Mechanical Stress In Primary Porcine Rpe Cells Induces Angiogenic Factor Expression And In Vitro Angiogenesis, Farhad Farjood, Amir Ahmadpour, Sassan Ostvar, Elizabeth Vargis

Biological Engineering Faculty Publications

Background

Choroidal neovascularization (CNV) is a major cause of blindness in patients with age-related macular degeneration. CNV is characterized by new blood vessel growth and subretinal fluid accumulation, which results in mechanical pressure on retinal pigment epithelial (RPE) cells. The overexpression of RPE-derived angiogenic factors plays an important role in inducing CNV. In this work, we investigated the effect of mechanical stress on the expression of angiogenic factors in porcine RPE cells and determined the impact of conditioned medium on in-vitro angiogenesis.

Results

The goal of this study was to determine whether low levels of acute mechanical stress during early …


Nytrox As “Drop-In” Replacement For Gaseous Oxygen In Smallsat Hybrid Propulsion Systems, Stephen A. Whitmore Apr 2020

Nytrox As “Drop-In” Replacement For Gaseous Oxygen In Smallsat Hybrid Propulsion Systems, Stephen A. Whitmore

Mechanical and Aerospace Engineering Faculty Publications

A medical grade nitrous oxide (N2O) and gaseous oxygen (GOX) “Nytrox” blend is investigated as a volumetrically-efficient replacement for GOX in SmallSat-scale hybrid propulsion systems. Combined with 3-D printed acrylonitrile butadiene styrene (ABS), the propellants represent a significantly safer, but superior performing, alternative to environmentally-unsustainable spacecraft propellants like hydrazine. In a manner analogous to the creation of soda-water using dissolved carbon dioxide, Nytrox is created by bubbling GOX under pressure into N2O until the solution reaches saturation. Oxygen in the ullage dilutes N2O vapor and increases the required decomposition energy barrier by several orders …


Reu Site: Engineering Education Research On Undergraduate Engineering Students' Problem Solving Capacity, Oenardi Lawanto Apr 2020

Reu Site: Engineering Education Research On Undergraduate Engineering Students' Problem Solving Capacity, Oenardi Lawanto

Funded Research Records

No abstract provided.