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2022

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Articles 1171 - 1200 of 9373

Full-Text Articles in Engineering

Basalt Fibers For Underwater Fatigue Repair Of Steel Panels, Guillermo Riveros, Emad M. Hassan, Lauren Hudak, Hussam Mahmoud Nov 2022

Basalt Fibers For Underwater Fatigue Repair Of Steel Panels, Guillermo Riveros, Emad M. Hassan, Lauren Hudak, Hussam Mahmoud

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Fatigue damage is a major threat to the safety and integrity of many steel structures. Steel hydraulic structures (SHS), in particular, experience fatigue loading during operation and are exposed to harsh environmental conditions that can further reduce fatigue life through mechanisms. The traditional inspection and repair process for SHS is time-consuming and leads to economic losses. Studies investigating the behavior and advantages of using bonded carbon fiber-reinforced polymer (CFRP) to repair fatigue cracks in SHS are lacking. The main objectives of this study are to increase the bonding of CFRP, investigate the effectiveness of different fiber-reinforced polymers, and test different …

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Recall Distortion In Neural Network Pruning And The Undecayed Pruning Algorithm, Aidan Good, Jiaqi Lin, Hannah Sieg, Mikey Ferguson, Xin Yu, Shandian Zhe, Jerzy Wieczorek, Thiago Serra Nov 2022

Recall Distortion In Neural Network Pruning And The Undecayed Pruning Algorithm, Aidan Good, Jiaqi Lin, Hannah Sieg, Mikey Ferguson, Xin Yu, Shandian Zhe, Jerzy Wieczorek, Thiago Serra

Faculty Conference Papers and Presentations

Pruning techniques have been successfully used in neural networks to trade accuracy for sparsity. However, the impact of network pruning is not uniform: prior work has shown that the recall for underrepresented classes in a dataset may be more negatively affected. In this work, we study such relative distortions in recall by hypothesizing an intensification effect that is inherent to the model. Namely, that pruning makes recall relatively worse for a class with recall below accuracy and, conversely, that it makes recall relatively better for a class with recall above accuracy. In addition, we propose a new pruning algorithm aimed …

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Predictability Of Mechanical Behavior Of Additively Manufactured Particulate Composites Using Machine Learning And Data-Driven Approaches, Steven Malley, Crystal Reina, Somer Nacy, Jérôme Gilles, Behrad Koohbor Nov 2022

Predictability Of Mechanical Behavior Of Additively Manufactured Particulate Composites Using Machine Learning And Data-Driven Approaches, Steven Malley, Crystal Reina, Somer Nacy, Jérôme Gilles, Behrad Koohbor

Henry M. Rowan College of Engineering Departmental Research

Additive manufacturing and data analytics are independently flourishing research areas, where the latter can be leveraged to gain a great insight into the former. In this paper, the mechanical responses of additively manufactured samples using vat polymerization process with different weight ratios of magnetic microparticles were used to develop, train, and validate a neural network model. Samples with six different compositions, ranging from neat photopolymer to a composite of photopolymer with 4 wt.% of magnetic particles, were manufactured and mechanically tested at quasi-static strain rate and ambient environmental conditions. The experimental data were also synthesized using a data-driven approach based …

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The Impact Of Biofilms And Dissolved Organic Matter On The Transport Of Nanoparticles In Field-Scale Streams, Junyeol Kim, Kevin R. Roche, Diogo Bolster, Kyle Doudrick Nov 2022

The Impact Of Biofilms And Dissolved Organic Matter On The Transport Of Nanoparticles In Field-Scale Streams, Junyeol Kim, Kevin R. Roche, Diogo Bolster, Kyle Doudrick

Civil Engineering Faculty Publications and Presentations

The fate and transport of nanoparticles (NPs) in streams is critical for understanding their overall environmental impact. Using a unique field-scale stream at the Notre Dame-Linked Experimental Ecosystem Facility, we investigated the impact of biofilms and the presence of dissolved organic matter (DOM) on the transport of titanium dioxide (TiO2) NPs. Experimental breakthrough curves were analyzed using temporal moments and fit using a mobile-immobile model. The presence of biofilms in the stream severely reduced the transport of the TiO2 NPs, but this was mitigated by the presence of DOM. Under minimal biofilm conditions, the presence of DOM …

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Changing Climates And Extreme Weather For Minnesota, Patrick A. Tebbe Nov 2022

Changing Climates And Extreme Weather For Minnesota, Patrick A. Tebbe

Mechanical and Civil Engineering Department Publications

Climate change is impacting the design, prediction, and operation of HVAC systems for the built environment, and will continue to do so for the foreseeable future. This presentation reviews climate predictions for the upper Midwest and how they will affect the HVAC industry. Topics such as changing design conditions, extreme weather impact, and increased electrification will be addressed.

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3d-Printed Piezoelectric Porous Bioactive Scaffolds And Clinical Ultrasonic Stimulation Can Help In Enhanced Bone Regeneration, Prabaha Sikder, Phaniteja Nagaraju, Harsha P.S. Naganaboyina Nov 2022

3d-Printed Piezoelectric Porous Bioactive Scaffolds And Clinical Ultrasonic Stimulation Can Help In Enhanced Bone Regeneration, Prabaha Sikder, Phaniteja Nagaraju, Harsha P.S. Naganaboyina

Mechanical Engineering Faculty Publications

This paper presents a comprehensive effort to develop and analyze first-of-its-kind design-specific and bioactive piezoelectric scaffolds for treating orthopedic defects. The study has three major highlights. First, this is one of the first studies that utilize extrusion-based 3D printing to develop design-specific macroporous piezoelectric scaffolds for treating bone defects. The scaffolds with controlled pore size and architecture were synthesized based on unique composite formulations containing polycaprolactone (PCL) and micron-sized barium titanate (BaTiO3) particles. Second, the bioactive PCL-BaTiO3 piezoelectric composite formulations were explicitly developed in the form of uniform diameter filaments, which served as feedstock material for the fused filament fabrication …

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A Benchtop Robotic Automation Approach For Manufacturing Prefilled Syringes, Yehua Zhong Nov 2022

A Benchtop Robotic Automation Approach For Manufacturing Prefilled Syringes, Yehua Zhong

All Theses

Automation and robotics have become a staple in the biological manufacturing sector due to their ability to efficiently work without operator inputs, with a high degree of accuracy and repeatability. Industrial robotic arms, in particular, present themselves as valuable tools for biological manufacturing scenarios that require customized solutions due to their ease of programming and flexibility. The traditional hospital-focused healthcare system was organically developed to address acute conditions, however, in recent years, due to the unprecedented occurrence of emergencies happening more frequently, fast and efficient drug production becomes important [17]. This thesis represents the use of a benchtop robot and …

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Applications Of Blockchain In Business Processes: A Comprehensive Review, Wattana Viriyasitavat, Li Xu, Dusit Niyato, Zhuming Bi, Danupol Hoonsopon Nov 2022

Applications Of Blockchain In Business Processes: A Comprehensive Review, Wattana Viriyasitavat, Li Xu, Dusit Niyato, Zhuming Bi, Danupol Hoonsopon

Information Technology & Decision Sciences Faculty Publications

Blockchain (BC), as an emerging technology, is revolutionizing Business Process Management (BPM) in multiple ways. The main adoption is to serve as a trusted infrastructure to guarantee the trust of collaborations among multiple partners in trustless environments. Especially, BC enables trust of information by using Distributed Ledger Technology (DLT). With the power of smart contracts, BC enforces the obligations of counterparties that transact in a business process (BP) by programming the contracts as transactions. This paper aims to study the state-of-the-art of BC technologies by (1) exploring its applications in BPM with the focus on how BC provides the trust …

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Tidally Generated Internal Waves From Dual-Ridge Topography, Ian Derik Sanderson Nov 2022

Tidally Generated Internal Waves From Dual-Ridge Topography, Ian Derik Sanderson

Theses and Dissertations

Internal waves are generated in stratified fluids, like the ocean, where density increases with depth. Tides are one of the major generation mechanisms of internal waves. As the tides move water back and forth over underwater topography, internal waves can be generated. Topography slope and amplitude are major factors in the behavior of the generated internal wave field. In order to further understand the effects topographic shape plays, the effect of asymmetry on internal waves is investigated. This research investigates internal waves generated by dual-ridge topographies. Four cases of symmetric topographies, T, M, W, and W2, with three different peak …

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Using Strategic Options Development And Analysis (Soda) To Understand The Simulation Accessibility Problem, Andrew J. Collins, Ying Thaviphoke, Antuela A. Tako Nov 2022

Using Strategic Options Development And Analysis (Soda) To Understand The Simulation Accessibility Problem, Andrew J. Collins, Ying Thaviphoke, Antuela A. Tako

Engineering Management & Systems Engineering Faculty Publications

Simulation modelling is applied to a wide range of problems, including defense and healthcare. However, there is a concern within the simulation community that there is a limited use and implementation of simulation studies in practice. This suggests that despite its benefits, simulation may not be reaching its potential in making a real-world impact. The main reason for this could be that simulation tools are not widely accessible in industry. In this paper, we investigate the issues that affect simulation modelling accessibility through a workshop with simulation practitioners. We use Strategic Options Development and Analysis (SODA), a problem-structuring approach that …

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The Smithvent Experience And A Framework For Collaborative Distributed Design And Fabrication, Susannah Howe, Eleanor C. Ory, Devin Carroll, Sarah Chu, Kalifa Clarke, Beatrix Dalton, Claire Dudek, Adrienne Horne, Nicholas Howe, Sangye Kazi, Astrid Landeau, Dan Lin, Phoebe Degroot, Emily Dixon, Farida Sabry, Alex Widstrand Nov 2022

The Smithvent Experience And A Framework For Collaborative Distributed Design And Fabrication, Susannah Howe, Eleanor C. Ory, Devin Carroll, Sarah Chu, Kalifa Clarke, Beatrix Dalton, Claire Dudek, Adrienne Horne, Nicholas Howe, Sangye Kazi, Astrid Landeau, Dan Lin, Phoebe Degroot, Emily Dixon, Farida Sabry, Alex Widstrand

Engineering: Faculty Publications

This paper addresses the collaborative journey of the SmithVent team, a 30-person distributed group of volunteers, who designed, fabricated, and tested a simplified and cost-efficient ventilator over a three-month period, and won the CoVent19 Challenge in July 2020. The paper first presents the SmithVent experience through a co-constructed narrative that describes the team’s approaches to collaborative distributed design and fabrication. The paper next reviews frameworks from five theoretical lenses and then details the process of extracting, synthesizing, and organizing relevant factors to create a new and emergent framework reflective of the SmithVent experience. Lastly, the paper discusses educational implications of …

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Machine Learning For Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang Nov 2022

Machine Learning For Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang

Computer Science and Engineering Faculty Publications

Computational fluid dynamics (CFD) is widely employed to predict hemodynamic characteristics in arterial models, while not friendly to clinical applications due to the complexity of numerical simulations. Alternatively, this work proposed a framework to estimate hemodynamics in vessels based on angiography images using machine learning (ML) algorithms. First, the iodine contrast perfusion in blood was mimicked by a flow of dye diffusing into water in the experimentally validated CFD modeling. The generated projective images from simulations imitated the counterpart of light passing through the flow field as an analogy of X-ray imaging. Thus, the CFD simulation provides both the ground …

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Cyclic Porewater Pressure Generation In Intact Silty Soils, Arash Khosravifar, Stephen Dickenson, Diane Moug Nov 2022

Cyclic Porewater Pressure Generation In Intact Silty Soils, Arash Khosravifar, Stephen Dickenson, Diane Moug

Civil and Environmental Engineering Faculty Publications and Presentations

The results of cyclic strain-controlled, constant volume direct simple shear (CDSS) tests and field shaking tests have been evaluated for intact, natural, low-plastic silts from six different fine-grained soils with 54%–100% fines content, 47%–83% silt content, and plasticity indices (PI) ranging from nonplastic to 16. These tests constitute a subset of a larger archive of CDSS tests performed on silt deposits from the Pacific Northwest, British Columbia, and Alaska collected and analyzed by the co-authors. The cyclic data are presented in this paper for two objectives: (a) to characterize cyclically-induced excess pore pressure generation in intermediate soils with various soil …

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Pile-Supported Wharves Subjected To Inertial Loads And Lateral Ground Deformations. Ii: Guidelines For Equivalent Static Analysis, Milad Souri, Arash Khosravifar, Stephen E. Dickenson, Scott Schlechter, Nason Mccullough Nov 2022

Pile-Supported Wharves Subjected To Inertial Loads And Lateral Ground Deformations. Ii: Guidelines For Equivalent Static Analysis, Milad Souri, Arash Khosravifar, Stephen E. Dickenson, Scott Schlechter, Nason Mccullough

Civil and Environmental Engineering Faculty Publications and Presentations

An equivalent static analysis (ESA) procedure is proposed for the design of pile-supported wharves subjected to combined inertial and kinematic loads during earthquakes. The accuracy of the ESA procedure was evaluated against measurements from five large-scale centrifuge tests. The wharf structures in these tests were subjected to a suite of recorded ground motions and the associated superstructure inertia, as well as earthquake-induced slope deformations of varying magnitudes. It is shown that large bending moments at depths greater than 10 pile diameters were primarily induced by kinematic demands and can be estimated by applying soil displacements only (i.e., 100% kinematic). In …

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Pile-Supported Wharves Subjected To Inertial Loads And Lateral Ground Deformations. I: Experimental Results From Centrifuge Tests, Milad Souri, Arash Khosravifar, Stephen E. Dickenson, Scott Schlechter, Nason Mccullough Nov 2022

Pile-Supported Wharves Subjected To Inertial Loads And Lateral Ground Deformations. I: Experimental Results From Centrifuge Tests, Milad Souri, Arash Khosravifar, Stephen E. Dickenson, Scott Schlechter, Nason Mccullough

Civil and Environmental Engineering Faculty Publications and Presentations

Five dynamic, large-scale centrifuge tests on pile-supported wharves were used to investigate the time- and depth-dependent nature of kinematic and inertial demands on the deep foundations during earthquake loading. The wharf structures in the physical experiments were subjected to a suite of recorded ground motions and imposed superstructure inertial demands on the piles. Partial to full liquefaction in loose sand resulted in slope deformations of varying magnitudes that imposed kinematic demands on the piles. It was found that the wharf inertia and soil displacements were always in phase during the critical cycle when bending moments were at their maximum values. …

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Evaluation Of Cubic, Pc-Saft, And Gerg2008 Equations Of State For Accurate Calculations Of Thermophysical Properties Of Hydrogen-Blend Mixtures, Amer Alanazi, Muhammad Ali, Saleh Bawazeer, Nurudeen Yekeen, Hussein Hoteit Nov 2022

Evaluation Of Cubic, Pc-Saft, And Gerg2008 Equations Of State For Accurate Calculations Of Thermophysical Properties Of Hydrogen-Blend Mixtures, Amer Alanazi, Muhammad Ali, Saleh Bawazeer, Nurudeen Yekeen, Hussein Hoteit

Research outputs 2022 to 2026

Hydrogen (H2) is a clean fuel and key enabler of energy transition into green renewable sources and a method of achieving net-zero emissions by 2050. Underground H2 storage (UHS) is a prominent method offering a permanent solution for a low-carbon economy to meet the global energy demand. However, UHS is a complex procedure where containment security, pore-scale scattering, and large-scale storage capacity can be influenced by H2 contamination due to mixing with cushion gases and reservoir fluids. The literature lacks comprehensive investigations of existing thermodynamic models in calculating the accurate transport properties of H2-blend …

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A Quality Metric For K-Means Clustering Based On Centroid Locations, Manoj Thulasidas Nov 2022

A Quality Metric For K-Means Clustering Based On Centroid Locations, Manoj Thulasidas

Research Collection School Of Computing and Information Systems

K-Means clustering algorithm does not offer a clear methodology to determine the appropriate number of clusters; it does not have a built-in mechanism for K selection. In this paper, we present a new metric for clustering quality and describe its use for K selection. The proposed metric, based on the locations of the centroids, as well as the desired properties of the clusters, is developed in two stages. In the initial stage, we take into account the full covariance matrix of the clustering variables, thereby making it mathematically similar to a reduced chi2. We then extend it to account for …

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Piezoelectric Enhanced Noninvasive Laser-Based Detection Of Multiple Vital Signs, Ahmed Saeed Dabi Nov 2022

Piezoelectric Enhanced Noninvasive Laser-Based Detection Of Multiple Vital Signs, Ahmed Saeed Dabi

Theses

In this study, a method for concurrent measurement of heart rate (HR) respiration rate (RR) and blood pressure (BP) using movements of the chest wall is proposed. Unlike conventional approaches that use only laser, in this approach a laser source is used to collect the piezoelectric sensor output without the need for probing. The chest wall movements are transduced using an optical ODSL 8 sensor and a piezoelectric taped to the patient’s chest. Measurement data is used for development of algorithms for estimation of HR, RR and BP. Next measurements are taken while the subjects are breathing and holding their …

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Utilizing Date Pits In Microencapsulation: Effect Of Different Variations On Probiotic Survivability Under In Vitro Digestion, Asmaa Samir Al Hamayda Nov 2022

Utilizing Date Pits In Microencapsulation: Effect Of Different Variations On Probiotic Survivability Under In Vitro Digestion, Asmaa Samir Al Hamayda

Theses

This work deals with the medicinal use of date pit powder, which turns it from a waste product to a useful stabilizer for the release of beneficial probiotics in the human intestine. The main objective of this work is to encapsulate probiotics with date pit beads and their subsequent release in the human intestine. The beads were formed using gravitational dripping technique, while INFOGEST protocol was used to test the digested beads and the release of viable probiotic cells. For the three date varieties Raziz, Naghal and Khadrawy, it was found that 0.1 g of date pit powder per 0.2 …

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The Design Of A Point Of Care Fet Biosensor To Detect And Screen Covid-19, Nisreen Amer Mohammad Alnaji Nov 2022

The Design Of A Point Of Care Fet Biosensor To Detect And Screen Covid-19, Nisreen Amer Mohammad Alnaji

Theses

This work proposes and demonstrates a biosensor with reduced Graphene Oxide (rGO) based Field Effect Transistor (FET) for rapid and selective detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The main objective of this thesis is to detect the SARS-CoV-2 spike protein antigen on spot selectively and rapidly. The rGO channel is coated with the spike protein antibodies to achieve selectivity. Moreover, the biosensing performance and specificity are governed by decorating the sensor’s channel with Metal Nanoparticles (MNPs) such as, copper, and silver. The designed sensor successfully detects the SARS-CoV-2 spike protein and shows singular electrical behavior for detection. …

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Neural Network Based Reactive Control Of Point Absorber Wave Energy Converters, Abdelmoamen Ali Nasser Nov 2022

Neural Network Based Reactive Control Of Point Absorber Wave Energy Converters, Abdelmoamen Ali Nasser

Theses

The main objective of this work is to develop a neural-network-based Reactive Control (RC) system for wave energy converters. The ability to maximize the power output of WEC while maintaining operation constraints, which can be physical or thermal, is crucial to the development of deployable control strategies. Having a control method that is robust, which means it handles uncertainty and noise very well, is one of the main performance criteria in evaluating the method. Therefore, this work starts by deriving an averaged WEC model to be simulated in MATLAB/Simulink. Additionally, the concepts of resistive loading control and reactive control (approximate …

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Sludge-Based Activated Carbon: Characterization And Performance For Removal Of Methylene Blue From Aqueous Solution, Ahmad Anwar Al Madhoon Nov 2022

Sludge-Based Activated Carbon: Characterization And Performance For Removal Of Methylene Blue From Aqueous Solution, Ahmad Anwar Al Madhoon

Theses

Domestic wastewater treatment plants in the United Arab Emirates (UAE) produce 122 thousand tons of dried sludge annually. About 70% of this sludge is dumped in landfills, creating water and soil contamination. Sludge is an energy-rich organic material that could be converted into activated carbon by thermal or chemical processes. Potassium hydroxide has shown great potential as an activating agent for producing high-quality sludge based activated carbon (SBAC). However, its use adds to the cost of the production process. Thus, there is a need for an alternative activating agent that is not costly. One possible chemical is carbide lime which …

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Disturbance-Observer Based Control For Pwm Rectifiers Without Dc Voltage Oscillations Under Unbalanced Grid Conditions, Mohammed Samer Al-Razehi Nov 2022

Disturbance-Observer Based Control For Pwm Rectifiers Without Dc Voltage Oscillations Under Unbalanced Grid Conditions, Mohammed Samer Al-Razehi

Theses

A three-phase controlled rectifier is a power electronic converter that employs the grid voltages as an input to produce a constant dc voltage at its output through the use of a capacitor, known as dc-link capacitor. However, the switching devices of power converters can create harmonics in the grid current, which mandates the need for filters to ensure high-quality grid current. This explains why the power converter is normally connected to the grid using passive filters such as L filter or LCL filter. The L filter is normally preferred over LCL filter to reduce harmonic distortions in grid currents as …

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Applications Of Technology And Innovation For A Sustainable Future, Veeriah Jegatheesan, Li Shu, Taku Fujiwara, Edita Baltrėnaitė-Gedienė Nov 2022

Applications Of Technology And Innovation For A Sustainable Future, Veeriah Jegatheesan, Li Shu, Taku Fujiwara, Edita Baltrėnaitė-Gedienė

Research outputs 2022 to 2026

Sustainable future depends on ways in which we keep upgrading our living style. The goals and targets set by Sustainable Development Goals will definitely help us to protect all types of ecosystems and their biodiversity. Still, much more complementary advances in technology and innovation and their applications are essential in realising realizing a sustainable future. The aims and scope of Environmental Technology & Innovation is well geared to contribute to such ambition. Thus, this virtual special issue (VSI) contains 23 articles from the presentations made at the international conference on the Challenges in Environmental Science and Engineering, CESE-2021. A brief …

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Biodegradable Heat Insulation Composites Based On Poly(Β-Hydroxybutyrate) And Date Palm Wood, Amal Ibrahim Mlhem Nov 2022

Biodegradable Heat Insulation Composites Based On Poly(Β-Hydroxybutyrate) And Date Palm Wood, Amal Ibrahim Mlhem

Theses

Residential buildings contribute the most to energy consumption. It was found that energy savings of 20% can be achieved through the thermal insulation of residential buildings in the United Arab Emirates. For this reason, research has been conducted in the field of sustainable thermal insulation materials. Wood-Plastic Composites (WPC) are a relatively new generation of biocomposites and are particularly suitable for construction and building applications, which offers high thermal and acoustic insulation properties., reducing carbon emissions and decreasing negative impacts on the environment due to their biodegradability, sustainability, renewability, and recyclability. The first part of this study investigated the thermal …

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Wetting Of Paper Towels: A Method To Determine The Two-Dimensional Absorption Capacity, Hossein Abedsoltan Nov 2022

Wetting Of Paper Towels: A Method To Determine The Two-Dimensional Absorption Capacity, Hossein Abedsoltan

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study proposes a method to determine the two-dimensional absorption capacity of paper towels. Individual plies were tested to minimize the effects of transverse wicking on wetting. The method involves arbitrary point source injection of liquid into the towel surface while recording microscopic images of the wetted areas. The samples were selected from the main manufacturing processes: conventional wet pressing and through-air drying. Wetting graphs that illustrate the dynamic and static wetting behaviors were generated. The driving force was found to have a negligible effect on the maximum wetted area. The maximum wetted area and the paper grammage were used …

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Rapid Pothole Repair In Concrete Bridge Decks, Abheetha Peiris, Issam Harik Nov 2022

Rapid Pothole Repair In Concrete Bridge Decks, Abheetha Peiris, Issam Harik

Kentucky Transportation Center Research Report

Using traditional methods to repair potholes in reinforced concrete (RC) bridge decks is time-consuming and requires significant manpower and equipment. However, commercially available epoxies and similar materials provide a repair option that does not require saw cutting the deck around the pothole, concrete removal, and replacement. Researchers laboratory tested three epoxies to identify which is best for pothole repairs. Based on assessments of substrate penetration times and set times for epoxy and epoxy mortar, as well as compressive strength gain over time for epoxy mortar, researchers selected Sikadur 52 for static and dynamic bending tests using small-scale beams with simulated …

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Low Intensity Vibration Protects The Weight Bearing Skeleton And Suppresses Fracture Incidence In Boys With Duchenne Muscular Dystrophy, Maria Luisa Bianchi, Silvia Vai, Giovanni Baranello, Francesca Broggi, Stefan Judex, Thomas N. Hangartner, Clinton Rubin Nov 2022

Low Intensity Vibration Protects The Weight Bearing Skeleton And Suppresses Fracture Incidence In Boys With Duchenne Muscular Dystrophy, Maria Luisa Bianchi, Silvia Vai, Giovanni Baranello, Francesca Broggi, Stefan Judex, Thomas N. Hangartner, Clinton Rubin

Biomedical, Industrial & Human Factors Engineering Faculty Publications

The ability of low intensity vibration (LIV) to combat skeletal decline in Duchenne Muscular Dystrophy (DMD) was evaluated in a randomized controlled trial. Twenty DMD boys were enrolled, all ambulant and treated with glucocorticoids (mean age 7.6, height adjusted Z scores [HAZ] of hip bone mineral density [BMD] −2.3). Ten DMD boys were assigned to stand for 10 min/d on an active LIV platform (0.4 g at 30 Hz), while 10 stood on a placebo device. Baseline and 14 month bone mineral content (BMC) and BMD of spine, hip, and total body were measured with DXA, and trabecular bone density …

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Development Of Non-Proprietary Ultra-High Performance Concrete Mixtures, Tawsif Mohammad Hasan, Levi Gilbert, Srinivas Allena, Josiah Owusu-Danquah, Anthony Torres Nov 2022

Development Of Non-Proprietary Ultra-High Performance Concrete Mixtures, Tawsif Mohammad Hasan, Levi Gilbert, Srinivas Allena, Josiah Owusu-Danquah, Anthony Torres

Civil and Environmental Engineering Faculty Publications

The development of non-proprietary Ultra-High Performance Concrete (UHPC) is one way to reduce the initial cost of construction. However, workability is a major issue for which such mixtures are not practical in field conditions. Ultra-high performance cannot be achieved in field conditions if the concrete is not placed, finished, and compacted properly during placement. In this research, six UHPC mixtures were developed (three with steel fibers and three without fibers) using materials which are readily available on the local marketplace with water-to-cementitious materials ratios ranging between 0.17 to 0.30. The workability was determined using standard ASTM flow table apparatus, and …

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Prediction Of Sulfur Removal From Iron Concentrate Using Column Flotation Froth Features: Comparison Of K-Means Clustering, Regression, Backpropagation Neural Network, And Convolutional Neural Network, Fardis Nakhaei, Samira Rahimi, Mohammadbagher Fathi Nov 2022

Prediction Of Sulfur Removal From Iron Concentrate Using Column Flotation Froth Features: Comparison Of K-Means Clustering, Regression, Backpropagation Neural Network, And Convolutional Neural Network, Fardis Nakhaei, Samira Rahimi, Mohammadbagher Fathi

Mining Engineering Faculty Research & Creative Works

Froth feature extraction plays a significant role in the monitoring and control of the flotation process. Image-based soft sensors have received a great deal of interest in the flotation process due to their low-cost and non-intrusive properties. This study proposes data-driven soft sensor models based on froth images to predict the key performance indicators of the flotation process. The ability of multiple linear regression (MLR), the backpropagation neural network (BPNN), the k-means clustering algorithm, and the convolutional neural network (CNN) to predict the amount of sulfur removal from iron ore concentrate in the column flotation process was examined. A total …

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