Engineering Commons^™

Data From: Computational Fluid Dynamics Benchmark Validation Experiment Of Plenum-To-Plenum Flow Through Vertical Heated Parallel Channels, Austin W. Parker, Barton L. Smith

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This research is focused on the thermal mixing region of parallel jets entering an upper plenum. The highly-coupled thermal-fluid physics are relevant to plenum-to-plenum flow in High Temperature Gas Reactors such as thermal striping phenomena. Experimentally measured boundary conditions and system response quantities for use in Computational Fluid Dynamics were tabulated and published for public use.

Transonic Small-Disturbance Theory/Integral Boundary Layer Airfoil Data For The Low-Fidelity Common Research Model, Jeffrey D. Taylor, Douglas Hunsaker

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Lift, Drag, and Moment Coefficient data for the Low-Fidelity Common Research Model wing airfoil sections.

Water Resources International Development: What On Earth Are We Doing?, Patrick Ray

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Large agencies such as the World Bank, the Millennium Challenge Corporation, the United Nations, regional development banks (such as the Asian Development Bank), and philanthropic organizations (such as the Rockefeller Foundation) are actively engaged in water resources development in low-income countries. Why? And what metrics do they use to decide if the investments of hundreds of millions or billions of dollars in water infrastructure projects are justified? And what accommodations do they tend to make for risks such as climate change? And what attention do they tend to give to questions of equity? I probably have no idea. But I’ve …

Dynamic Adaptive Policy Pathways, Marjolijn Haasnoot

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• Dynamic Adaptive Policy Pathways (DAPP) is a decision making approach that explicitly includes decision making over time. The essence is proactive and dynamic planning in response to how the future actually unfolds.
• DAPP explores alternative sequences of decisions (adaptation pathways) for multiple futures and illuminates the path dependency of alternative strategies. It opens the decision space and helps to overcome policy paralysis due to deep uncertainty. There are different routes that can achieve the objectives under changing conditions (like ‘different roads leading to Rome’).
• Policy actions have an uncertain design life and might fail sooner or later to continue achieving …

Rapid: Monitoring And Modeling Watershed-Scale Post-Wildfire Streamflow Response Through Space And Time, Belize A. Lane

Funded Research Records

No abstract provided.

Adaptive Water Infrastructure Planning For A Changing World, Sarah Fletcher

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Water planners face the challenge of ensuring reliable water supply for people and the environment. Long-term changes and short-term variability in both the natural and social environments create large uncertainty in future water supply and demand. This makes it difficult to know when and how to adapt water systems through operational changes, policy, and infrastructure development. Adaptive planning approaches, in which planners defer action and respond as the system changes over time, have the potential to enable robustness to an uncertain future without unnecessary infrastructure development or policy changes. However, adaptive approaches may prevent planners from leveraging economies of scale, …

Adaptive Policy Design In Water Resources Systems Under Uncertain Climate And Human Stressors, Jon Herman

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Long-term planning of water resources systems must contend with severe uncertainty in future projections of hydroclimatic variability across multiple scales, as well as uncertainty in human behavior, such as land use and reservoir operation. This talk will review recent developments in adaptive policy design to meet this challenge, centered around the key question: how should we learn from, and react to, dynamic observations of hydroclimatic, human, and ecological variables to ensure long-term sustainability? Specific contributions will cover three areas: (1) adaptation of short-term control rules, enabling existing infrastructure to manage multiple objectives across a range of possible futures; (2) exploration …

Strategies For Managing The Colorado River In An Uncertain Future, Jian Wang

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Colorado River managers face a deeply uncertain future. Projections of declining watershed runoff are likely to necessitate restructuring of the present interpretation of the Law of the River that allocates water supply among Mexico and the seven states of the Basin. Additionally, the magnitude and distribution of consumptive uses of water will change. Outcomes for river and reservoir ecosystems are poorly predicted. How should we make better decisions given these uncertain factors? To help answer this question and expand conversation about the Colorado River management issues, we (1) classify different levels of uncertainty to guide decisions about which modeling tools …

On Correctness, Precision, And Performance In Quantitative Verification: Qcomp 2020 Competition Report, Carlos E. Budde, Arnd Hartmanns, Michaela Klauck, Jan Křetínský, David Parker, Tim Quatmann, Andrea Turrini, Zhen Zhang

Electrical and Computer Engineering Faculty Publications

Quantitative verification tools compute probabilities, expected rewards, or steady-state values for formal models of stochastic and timed systems. Exact results often cannot be obtained efficiently, so most tools use floating-point arithmetic in iterative algorithms that approximate the quantity of interest. Correctness is thus defined by the desired precision and determines performance. In this paper, we report on the experimental evaluation of these trade-offs performed in QComp 2020: the second friendly competition of tools for the analysis of quantitative formal models. We survey the precision guarantees - ranging from exact rational results to statistical confidence statements - offered by the nine …

Challenges And Opportunities In Near-Threshold Dnn Accelerators Around Timing Errors, Pramesh Pandey, Noel Daniel Gundi, Prabal Basu, Tahmoures Shabanian, Mitchell Craig Patrick, Koushik Chakraborty, Sanghamitra Roy

Electrical and Computer Engineering Faculty Publications

AI evolution is accelerating and Deep Neural Network (DNN) inference accelerators are at the forefront of ad hoc architectures that are evolving to support the immense throughput required for AI computation. However, much more energy efficient design paradigms are inevitable to realize the complete potential of AI evolution and curtail energy consumption. The Near-Threshold Computing (NTC) design paradigm can serve as the best candidate for providing the required energy efficiency. However, NTC operation is plagued with ample performance and reliability concerns arising from the timing errors. In this paper, we dive deep into DNN architecture to uncover some unique challenges …

Titan: Uncovering The Paradigm Shift In Security Vulnerability At Near-Threshold Computing, Prabal Basu, Pramesh Pandey, Aatreyi Bal, Chidhambaranathan Rajamanikkam, Koushik Chakraborty, Sanghamitra Roy

Electrical and Computer Engineering Faculty Publications

In this paper, we investigate the emerging security threats at Near-Threshold Computing (NTC) that are poised to jeopardize the trustworthy operation of future low-power electronic devices. A substantial research effort over the last decade has bolstered energy efficient operation in low-power computing. However, innovation in low-power security has received only marginal attention, thwarting a ubiquitous adoption of critical Internet of Things applications, such as wearable gadgets. Using a cross-layer methodology, we demonstrate that the timing fault vulnerability of a circuit rapidly increases as the operating conditions of the transistor devices shift from super-threshold to near-threshold values. Exploiting this vulnerability, we …

Sharpening Ecostress And Viirs Land Surface Temperature Using Harmonized Landsat-Sentinel Surface Reflectances, Jie Xue, Martha C. Anderson, Feng Gao, Christopher Hain, Liang Sun, Yun Yang, Kyle R. Knipper, William P. Kustas, Alfonso F. Torres-Rua, Mitch Schull

Civil and Environmental Engineering Faculty Publications

Land surface temperature (LST) is a key diagnostic indicator of agricultural water use and crop stress. LST data retrieved from thermal infrared (TIR) band imagery, however, tend to have a coarser spatial resolution (e.g., 100 m for Landsat 8) than surface reflectance (SR) data collected from shortwave bands on the same instrument (e.g., 30 m for Landsat). Spatial sharpening of LST data using the higher resolution multi-band SR data provides an important path for improved agricultural monitoring at sub-field scales. A previously developed Data Mining Sharpener (DMS) approach has shown great potential in the sharpening of Landsat LST using Landsat …

Collaborative Research: Cns Core: Small: Secure And Efficient Mobile Edge Computing In Wireless Heterogeneous Networks, Rose Qingyang Hu

Funded Research Records

No abstract provided.

Modeling And Simulation Of A Supercritical Co2-Liquid Sodium Compact Heat Exchanger For Sodium Fast Reactors, Hailei Wang, Sean M. Kissick

Mechanical and Aerospace Engineering Faculty Publications

The study focuses on modeling and simulations of sodium-sCO2 intermediary compact heat exchangers for sodium-cooled fast reactors (SFR). A simplified 1-D analytical model was developed in companion with a 3-D CFD model. Using classic heat transfer correlations for Nusselt number, some simulation results using the 1-D model have achieved reasonable match with the CFD simulation results for longer channels (i.e., 40 cm and 80 cm). However, for short channel (10 cm) when axial conduction within the sodium fluid is significant, the 1-D model significantly over-predicted the heat transfer effectiveness. By incorporating the temperature-jump model, the 1-D model can extend its …

Nsf Engineering Research Center For Advancing Sustainability Through Powered Infrastructure For Roadway Electrification (Aspire), Zane Regan

Funded Research Records

No abstract provided.

Minimum Induced Drag For Tapered Wings Including Structural Constraints, Jeffrey D. Taylor, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

LIFTING-LINE theory [1,2] is the foundation for much of our understanding of finite-wing aerodynamics. Solutions based on lifting-line theory are widely accepted and have been shown to be in good agreement with CFD [3-10]. From Prandtl’s analytic solution to the classical lifting-line equation [1,2], the wing section-lift distribution can be expressed as a Fourier series of the form [11]

bL^~ (θ)/L = (4/π)[sin(θ) + Σ^∞_n-2 B_nsin(nθ)]; θ = cos^-1(-2z/b) (1)

where b is the wingspan, L^~ is the local wing section lift, L is the total wing lift, z is the spanwise …

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

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

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

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

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

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

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

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

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

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

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

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

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

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 …