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Articles 3661 - 3690 of 21795
Full-Text Articles in Engineering
Evaluation Of Anti-Aging Performance Of Biochar Modified Asphalt Binder, Wenhao Dong, Feng Ma, Chen Li, Zhen Fu, Yue Huang, Jenny Liu
Evaluation Of Anti-Aging Performance Of Biochar Modified Asphalt Binder, Wenhao Dong, Feng Ma, Chen Li, Zhen Fu, Yue Huang, Jenny Liu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
As a renewable biomass resource, biochar is new to modify or replace asphalt binder in pavement engineering. This paper focuses on the effect of biochar on the anti-aging performance of asphalt binder. The short-and long-term aging properties of biochar modified asphalt binder were investigated using dynamic shear rheometer (DSR) and bending beam rheometer (BBR) tests. The modification mechanism was investigated through the Fourier-transform infrared spectroscopy (FTIR) test. The aging tests and viscosity analysis showed that the softening point of biochar modified asphalt binder was higher than base asphalt binder, while the aging index and aging viscosity ratio were lower than …
Data–Driven Decision–Making For Lost Circulation Treatments: A Machine Learning Approach, Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman
Data–Driven Decision–Making For Lost Circulation Treatments: A Machine Learning Approach, Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Lost circulation is an expensive and critical problem in the drilling operations. Millions of dollars are spent every year to mitigate or stop this problem. In this work, data from over 3000 wells were collected from multiple sources. The data went through a processing step where all outliers were removed, and decision rules were set up. Multiple machine learning methods (support vector machine, decision trees, logistic regression, artificial neural networks, and ensemble trees) were used to create a model that can predict the best lost circulation treatment based on the type of loss and the reason of loss. 5-fold cross-validation …
Calcium Sulfate-Containing Glass Polyalkenoate Cement For Revision Total Knee Arthroplasty Fixation, Leyla Hasandoost, Adel Alhalawani, Omar Rodriguez, Alireza Rahimnejad Yazdi, Paul Zalzal, Emil H. Schemitsch, Stephen D. Waldman, Marcello Papini, Mark R. Towler
Calcium Sulfate-Containing Glass Polyalkenoate Cement For Revision Total Knee Arthroplasty Fixation, Leyla Hasandoost, Adel Alhalawani, Omar Rodriguez, Alireza Rahimnejad Yazdi, Paul Zalzal, Emil H. Schemitsch, Stephen D. Waldman, Marcello Papini, Mark R. Towler
Chemical and Biochemical Engineering Faculty Research & Creative Works
Poly (methyl methacrylate) (PMMA) bone cement is used as a minor void filler in revision total knee arthroplasty (rTKA). The application of PMMA is indicated only for peripheral bone defects with less than 5 mm depth and that cover less than 50% of the bone surface. Treating bone defects with PMMA results in complications as a result of volumetric shrinkage, bone necrosis, and aseptic loosening. These concerns have driven the development of alternative bone cements. We report here on novel modified glass polyalkenoate cements (mGPCs) containing 1, 5 and 15 wt% calcium sulfate (CaSO4) and how the modified …
Risk Assessment Of Water Inrush Caused By Karst Cave In Tunnels Based On Reliability And Ga-Bp Neural Network, Zhaoyang Li, Yingchao Wang, C. Guney Olgun, Shengqi Yang, Qinglei Jiao, Mitian Wang
Risk Assessment Of Water Inrush Caused By Karst Cave In Tunnels Based On Reliability And Ga-Bp Neural Network, Zhaoyang Li, Yingchao Wang, C. Guney Olgun, Shengqi Yang, Qinglei Jiao, Mitian Wang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
In order to evaluate the risk level of water inrush caused by karst cave accurately and effectively, a novel quantitative assessment model was established based on the reliability theory and genetic algorithm-back propagation (GA-BP) neural network. First, the reliability theory and the calculation formula of the minimum safe thickness were used to calculate the water inrush probability. Second, the GA-BP neural network was applied to predict the disaster consequence caused by water inrush. Six factors, including water pressure, hydraulic supply, type of gap, filling situation, degree of water enrichment and reserves of cave, were selected as the input layer of …
Detection Of Corrosion-Indicating Oxidation Product Colors In Steel Bridges Under Varying Illuminations, Shadows, And Wetting Conditions, Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, Genda Chen
Detection Of Corrosion-Indicating Oxidation Product Colors In Steel Bridges Under Varying Illuminations, Shadows, And Wetting Conditions, Dayakar L. Naik, Hizb Ullah Sajid, Ravi Kiran, Genda Chen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Early detection of corrosion in steel bridges is essential for strategizing the mitigation of further corrosion damage. Although various image-based approaches are available in the literature for corrosion detection, most of these approaches are tested on images acquired under uniform natural daylight illuminations i.e., inherent variations in the ambient lighting conditions are ignored. Owing to the fact that varying natural daylight illuminations, shadows, water wetting, and oil wetting are unavoidable in real-world scenarios, it is important to devise a robust technique for corrosion identification. In the current study, four different color spaces namely ‘RGB’, ‘rgb’, ‘HSV’ and ‘CIE La*b*’ along …
A Family Of High Voltage Gain Three-Level Step-Up Converters For Photovoltaic Module Integration Applications, Ahmad Alzahrani, Pourya Shamsi, Mehdi Ferdowsi
A Family Of High Voltage Gain Three-Level Step-Up Converters For Photovoltaic Module Integration Applications, Ahmad Alzahrani, Pourya Shamsi, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a family of step-up three-level DC-DC converter topologies suitable for photovoltaic panel integration applications. The proposed family is suitable to convert the 10-30 V from photovoltaic panels to a 150 V direct current distribution bus. The proposed family enhances the three-level topology in terms of the voltage gain, power density, and filtering requirements at the input level. The filtration is reduced by interleaving. The three-level boost converter's voltage gain is enhanced by utilizing several options such as switched capacitor cells, switched inductor cells, and flyback transformers or coupled inductors. The enhancement techniques are illustrated by providing the …
A 60 Ghz Pcb Wideband Antenna-In-Package For 5g/6g Applications, Lidong Chi, Zibin Weng, Yihong Qi, James L. Drewniak
A 60 Ghz Pcb Wideband Antenna-In-Package For 5g/6g Applications, Lidong Chi, Zibin Weng, Yihong Qi, James L. Drewniak
Electrical and Computer Engineering Faculty Research & Creative Works
A low-cost, wideband printed circuit boards (PCBs) manufactured antenna is proposed in this letter for 5G/6G antenna-in-package (AiP) applications with wideband common-mode current (surface-wave) choking characteristics. The antenna is based on a grounded, wideband, high-efficiency electromagnetic structure (WHEMS) and a backing cavity, in which a radiating choke is introduced. By changing the choking condition of a quarter-wavelength, widely applied in traditional low-frequency baluns, wideband common-mode current suppression is achieved. The enclosing wall of the backing cavity is realized by a combination of isolated grounded vias and connected grounded vias based on current polarization on the wall. Finally, a 22% impedance …
Direct 3d Printing Of Silica Doped Transparent Magnesium Aluminate Spinel Ceramics, John M. Pappas, Xiangyang Dong
Direct 3d Printing Of Silica Doped Transparent Magnesium Aluminate Spinel Ceramics, John M. Pappas, Xiangyang Dong
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Transparent magnesium aluminate spinel ceramics were additively manufactured via a laser direct deposition method in this study. With a minimum porosity of 0.3% achieved, highly transparent spinel samples with the highest total optical transmittance of 82% at a wavelength of 632.8 nm, were obtained by a 3D printing approach. However, cracking was found to be a major issue affecting printed spinel samples. To control prevalent cracking, the effect of silica dopants was investigated. Increased silica dopants reduced average total crack length by up to 79% and average crack density by up to 71%. However, a high dopant level limited optical …
Efficient Yield Estimation Of Multiband Patch Antennas By Polynomial Chaos-Based Kriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel
Efficient Yield Estimation Of Multiband Patch Antennas By Polynomial Chaos-Based Kriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Yield estimation of antenna systems is important to check their robustness with respect to the uncertain sources. Since direct Monte Carlo sampling of accurate physics-based models can be computationally intensive, this work proposes the use of the polynomial chaos–Kriging (PC-Kriging) metamodeling method for fast yield estimation of multiband patch antennas. PC-Kriging integrates the polynomial chaos expansion (PCE) as the trend function of Kriging metamodel since the PCE is good at capturing the function tendency and Kriging is good at matching the observations at training points. The PC-Kriging method is demonstrated on two analytical cases and two multiband patch antenna cases …
Contextual-Bandit Anomaly Detection For Iot Data In Distributed Hierarchical Edge Computing, Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q.S. Quek
Contextual-Bandit Anomaly Detection For Iot Data In Distributed Hierarchical Edge Computing, Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q.S. Quek
Computer Science Faculty Research & Creative Works
Advances in deep neural networks (DNN) greatly bolster real-time detection of anomalous IoT data. However, IoT devices can hardly afford complex DNN models, and offloading anomaly detection tasks to the cloud incurs long delay. In this paper, we propose and build a demo for an adaptive anomaly detection approach for distributed hierarchical edge computing (HEC) systems to solve this problem, for both univariate and multivariate IoT data. First, we construct multiple anomaly detection DNN models with increasing complexity and associate each model with a layer in HEC from bottom to top. Then, we design an adaptive scheme to select one …
Semi-Annual Progress Report #7, Missouri University Of Science And Technology. Inspire - University Transportation Center
Semi-Annual Progress Report #7, Missouri University Of Science And Technology. Inspire - University Transportation Center
Semi-Annual Progress Reports
No abstract provided.
Modeling The Load Of Sars-Cov-2 Virus In Human Expelled Particles During Coughing And Speaking, Yang Wang, Guang Xu, Yue-Wern Huang
Modeling The Load Of Sars-Cov-2 Virus In Human Expelled Particles During Coughing And Speaking, Yang Wang, Guang Xu, Yue-Wern Huang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Particle size is an essential factor when considering the fate and transport of virus-containing droplets expelled by human, because it determines the deposition pattern in the human respiratory system and the evolution of droplets by evaporation and gravitational settling. However, the evolution of virus-containing droplets and the size-dependent viral load have not been studied in detail. The lack of this information leads to uncertainties in understanding the airborne transmission of respiratory diseases, such as the COVID-19. In this study, through a set of differential equations describing the evolution of respiratory droplets and by using the SARS-CoV-2 virus as an example, …
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
The role of human-machine teams in society is increasing, as big data and computing power explode. One popular approach to AI is deep learning, which is useful for classification, feature identification, and predictive modeling. However, deep learning models often suffer from inadequate transparency and poor explainability. One aspect of human systems integration is the design of interfaces that support human decision-making. AI models have multiple types of uncertainty embedded, which may be difficult for users to understand. Humans that use these tools need to understand how much they should trust the AI. This study evaluates one simple approach for communicating …
Coexistence Of Pseudospin- And Valley-Hall-Like Edge States In A Photonic Crystal With C3v Symmetry, Menglin L.N. Chen, Li Jun Jiang, Zhihao Lan, Wei E.I. Sha
Coexistence Of Pseudospin- And Valley-Hall-Like Edge States In A Photonic Crystal With C3v Symmetry, Menglin L.N. Chen, Li Jun Jiang, Zhihao Lan, Wei E.I. Sha
Electrical and Computer Engineering Faculty Research & Creative Works
We demonstrate the coexistence of pseudospin- and valley-Hall-like edge states in a photonic crystal with C3v symmetry, which is composed of three interlacing triangular sublattices with the same lattice constants. By tuning the geometry of the sublattices, three complete photonic band gaps with nontrivial topology can be created, one of which is due to the band inversion associated with the pseudospin degree of freedom at the Γ point and the other two due to the gapping out of Dirac cones associated with the valley degree of freedom at the K,K′ points. The system can support triband pseudospin- and valley-momentum locking …
Thermo-Coupled Temperature Sensors By Seven-Core Mcf Structures, Farhan Mumtaz, Yutang Dai, Wenbin Hu, Muhammad Aqueel Ashraf, Shu Cheng, Pu Cheng
Thermo-Coupled Temperature Sensors By Seven-Core Mcf Structures, Farhan Mumtaz, Yutang Dai, Wenbin Hu, Muhammad Aqueel Ashraf, Shu Cheng, Pu Cheng
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, we present an enhanced sensitivity of temperature sensors based on thermo-coupled Multicore Fiber (MCF) structures. The sensors are all fabricated using a controlled arc power of a splicing device. Two different principles of a Mach-Zehnder interferometer (MZI) and Michelson interferometer (MI) have been observed experimentally. The MZI and MI structures exhibit temperature sensitivity as 136.67 pm/°C and 70.61 pm/°C, respectively, and found insensitive to the refractive index (RI). Also, its RI response can readily resolve the issues of cross-sensitivity.
An Ultra-Low-Power Tunable Bump Circuit Using Source-Degenerated Differential Transconductor, Yixuan He, Minsu Choi, Kyung Ki Kim, Yong Bin Kim
An Ultra-Low-Power Tunable Bump Circuit Using Source-Degenerated Differential Transconductor, Yixuan He, Minsu Choi, Kyung Ki Kim, Yong Bin Kim
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, we proposed a nano-power tunable bump circuit. It incorporates a novel source-degenerated trans conductor using pseudo-resistor as source resistor to control the width of the bump. The presented circuit is simulated in Cadence using 180nm CMOS process under 1.8V power supply. The results show that the transconductance is tuned with pseudo-resistor and the bump circuit can operate with wide voltage range from 0.3V to 1.8V. Also, this circuit is compact and only dissipates 16.7nW power which makes it perfect for large-scale machine learning applications such as classifier and support vector machine.
Gate Diffusion Input Multi-Threshold Null Convention Logic Circuit Design Approach, Prashanthi Metku, Minsu Choi, Kyung Ki Kim, Yong Bin Kim
Gate Diffusion Input Multi-Threshold Null Convention Logic Circuit Design Approach, Prashanthi Metku, Minsu Choi, Kyung Ki Kim, Yong Bin Kim
Electrical and Computer Engineering Faculty Research & Creative Works
Multi-Threshold null convention logic (MTNCL) is a novel low power paradigm for designing asynchronous null convention logic (NCL) circuits. To further reduce the dynamic power consumption, a new methodology that utilizes gate diffusion input technique is proposed. The proposed approach is used to realize MTNCL gates and a decrease in the transistor count is observed that tend to reduce the dynamic power consumption. Compared to SMTNCL approach, the proposed methodology shows a 5.6% is reduction in the power consumption for the MTNCL gates.
Enhancement Of Fracture Toughness In Secondary Bonded Cfrp Using Hybrid Thermoplastic/Thermoset Bondline Architecture, A. Yudhanto, M. Almulhim, F. Kamal, R. Tao, L. Fatta, M. Alfano, G. Lubineau
Enhancement Of Fracture Toughness In Secondary Bonded Cfrp Using Hybrid Thermoplastic/Thermoset Bondline Architecture, A. Yudhanto, M. Almulhim, F. Kamal, R. Tao, L. Fatta, M. Alfano, G. Lubineau
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Structures made of carbon fiber-reinforced polymer (CFRP) can be assembled using adhesive bonding. However, such bonding is prone to brittle delamination, and a method to improve delamination resistance is desirable. Here, we propose a technique to introduce crack-arrest features that increase the R-curve response by engineering the adhesive bond line/interface. We specifically designed a wavy net-like thermoplastic insert that was embedded into the thermoset adhesive bond line where the new mechanisms of energy dissipation were generated. We demonstrate that the technique is effective at improving mode I fracture toughness of secondary bonded carbon/epoxy by more than 400%. The hybrid thermoset/thermoplastic …
Second-Harmonic Generation Of Structured Light By Transition-Metal Dichalcogenide Metasurfaces, Ling Ling Meng, Xiaoyan Y.Z. Xiong, Tian Xia, Qin S. Liu, Li (Lijun) Jun Jiang, Wei E.I. Sha, Weng Cho Chew
Second-Harmonic Generation Of Structured Light By Transition-Metal Dichalcogenide Metasurfaces, Ling Ling Meng, Xiaoyan Y.Z. Xiong, Tian Xia, Qin S. Liu, Li (Lijun) Jun Jiang, Wei E.I. Sha, Weng Cho Chew
Electrical and Computer Engineering Faculty Research & Creative Works
Structured light characterized by spatially inhomogeneous optical fields found rich applications in optical communication, sensing, microscopy, manipulation, and quantum information. While generation of structured light has been extensively studied in linear optics, the nonlinear optical process, particularly in two-dimensional (2D) materials, is an emerging alternative for generating structured light at shorter wavelengths. In this work, we theoretically demonstrate that radially and azimuthally polarized beams and vortex beams carrying orbital angular momentum could be generated at second-harmonic frequencies by using 2D material-based metasurfaces comprising the same transition-metal dichalcogenide meta-atoms. Manipulation of translations and orientations of anisotropically nonlinear meta-atoms exhibiting a threefold …
Synchronverter-Based Control Of Multi-Port Autonomous Reconfigurable Solar Plants (Mars), Phani R.V. Marthi, Suman Debnath, Mariesa L. Crow
Synchronverter-Based Control Of Multi-Port Autonomous Reconfigurable Solar Plants (Mars), Phani R.V. Marthi, Suman Debnath, Mariesa L. Crow
Electrical and Computer Engineering Faculty Research & Creative Works
Control of integrated photovoltaic (PV) plants with energy storage systems (ESSs) has become an important research and development topic in recent times. In this context, a Multi-port Autonomous Reconfigurable Solar (MARS) plant that integrates PV and ESS to alternating current transmission grid and high-voltage direct current (HVdc) link is studied in this paper. With penetration of power electronic based resources in the grid, the grid's capability to recover from frequency or voltage disturbances are reduced. Therefore, one of the vital objectives of any new grid integrated power electronic resource is to provide advanced control functions like voltage and frequency support …
The Application Of Fuzzy Analytic Hierarchy Process In Sustainable Project Selection, Rakan Alyamani, Suzanna Long
The Application Of Fuzzy Analytic Hierarchy Process In Sustainable Project Selection, Rakan Alyamani, Suzanna Long
Engineering Management and Systems Engineering Faculty Research & Creative Works
The project selection process is a crucial step in sustainable development. Effective sustainable development depends on the ability to select the appropriate sustainable project to implement to ensure that the desired goals are met. Some of the most common characteristics or criteria used in evaluating sustainable projects include novelty, uncertainty, skill and experience, technology information transfer, and project cost. Prioritizing these criteria based on relative importance helps project managers and decision makers identify elements that require additional attention, better allocate resources, as well as improve the selection process when evaluating different sustainable project alternatives. The aim of this research is …
Framing Energy And Minerals For Future Pathways, Michelle Michot Foss, Michael S. Moats, Kwame Awuah-Offei
Framing Energy And Minerals For Future Pathways, Michelle Michot Foss, Michael S. Moats, Kwame Awuah-Offei
Materials Science and Engineering Faculty Research & Creative Works
We present a challenge for Group of Twenty (G20) discussions that entails (1) greater awareness of the role of non-fuel minerals in the global economy overall, but specifically in the energy sector; and (2) the introduction and acceleration of alternative energy sources and technologies. We focus on chemical battery energy storage, given its prominence in all views and outlooks of energy futures, especially for mobility. We present recommendations for G20 discussions and actions on battery materials, and the crucial underlying supply chains for mineral commodities.
Quantitative Evaluation Of Asphalt Binder Extraction From Hot Mix Asphalt Pavement Using Ashing And Centrifuge Methods, Ahmed Hemida, Magdy Abdelrahman, Eslam Deef-Allah
Quantitative Evaluation Of Asphalt Binder Extraction From Hot Mix Asphalt Pavement Using Ashing And Centrifuge Methods, Ahmed Hemida, Magdy Abdelrahman, Eslam Deef-Allah
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Asphalt binder requires more investigation to be accurately and precisely extracted since it is a significant procedure for quality control quality assurance (QC/QA) and subsequent binder characterization. In this research, the authors provided a hands-on experience with binder extraction to deliver recommendations concerning the sensitive steps that may affect the outcomes (extracted binder content, Pbe %). Based on the extraction by the centrifuge method, two mineral matter determination methods (ashing and centrifuge) were addressed. Field cores were investigated with comparing the Pbe % to the actual binder content, Pba %. Analysis of variance (ANOVA) and Tukey Post-Hoc …
Rheological And Component Characterization Of An Innovative Bio-Binder Using Guayule Resin In Partial And Entire Asphalt Replacement, Ahmed Hemida, Magdy Abdelrahman
Rheological And Component Characterization Of An Innovative Bio-Binder Using Guayule Resin In Partial And Entire Asphalt Replacement, Ahmed Hemida, Magdy Abdelrahman
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Asphalt cement will not last for a long time as the world encounters a diminishment in the crude oil. For sustainable, flexible pavement development, new resources can provide a contribution to replace it partially or entirely. In this study, asphalt was partially and entirely replaced by guayule resin as a bioresource by-product, extracted during the guayule natural rubber production. Crumb rubber modifier (CRM) was used as an asphalt enhancer. The Superpave grading system was followed at high, intermediate, and low temperatures to evaluate such innovative binder for rutting, fatigue, and thermal cracking, respectively, in addition to viscosity. Therefore, the original, …
Maximum Evaporating Flux Of Molecular Fluids From A Planar Liquid Surface, Eric Bird, Zhi Liang
Maximum Evaporating Flux Of Molecular Fluids From A Planar Liquid Surface, Eric Bird, Zhi Liang
Mechanical and Aerospace Engineering Faculty Research & Creative Works
In This Work, We Use the Kinetic Theory of Gases (KTG) to Develop a Theoretical Model to Understand the Role of Internal Motions of Molecules on the Maximum Evaporation Flux from a Planar Liquid Surface. the Kinetic Theory is Applied to Study the Evaporation of Molecular Fluids into a Vacuum and Predict the Dimensionless Maximum Evaporation Flux (JR,max, I.e., the Ratio of the Maximum Evaporation Flux to the Molar Flux Emitted from a Liquid Surface). the Key Assumptions Regarding the Velocity Distribution Function (VDF) of Polyatomic Molecules in the Highly Nonequilibrium Vapor Near the Evaporating Surface Are Validated by the …
Resilience Of School Systems Following Severe Earthquakes, Emad M. Hassan, Hussam N. Mahmoud, Bruce R. Ellingwood
Resilience Of School Systems Following Severe Earthquakes, Emad M. Hassan, Hussam N. Mahmoud, Bruce R. Ellingwood
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Natural disasters may have catastrophic and long-lasting impacts on communities' physical, economic, and social infrastructure. Slow recovery of educational services following such events is likely to cause traumatic stress in children, lead families to out-migrate, and affect the community's overall social stability. Methods for quantifying and assessing the restoration process of educational systems and their dependencies on other supporting infrastructure have not received adequate attention. This study introduces, for the first time, a new framework to evaluate the functionality, recovery, and resilience of a school system following severe earthquake events. The framework considers both the quantity and quality of education …
Practical Measurement Of Size Distribution Of Blasted Rocks Using Lidar Scan Data, Irfan C. Engin, Norbert H. Maerz, Kenneth J. Boyko, Robert Reals
Practical Measurement Of Size Distribution Of Blasted Rocks Using Lidar Scan Data, Irfan C. Engin, Norbert H. Maerz, Kenneth J. Boyko, Robert Reals
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Majority of the world's mine production is made by surface mining facilities for various reasons. Use of explosives is the most economical way in loosening of the main rock where hard rock formations exist. The degree of fragmentation affects the subsequent excavation and loading operations as well as indicates the success of the blasting process. Although the most preferred method for the measurement of fragment size of blasted rock is digital image analysis, the method also includes some limitations and errors. In this study, size distribution of the blasted rock was measured directly using laser scanning-LiDAR technology and a new …
Review Of Multimode Space Propulsion, Joshua L. Rovey, Christopher T. Lyne, Alex J. Mundahl, Nicolas Rasmont, Matthew S. Glascock, Mitchell J. Wainwright, Steven P. Berg
Review Of Multimode Space Propulsion, Joshua L. Rovey, Christopher T. Lyne, Alex J. Mundahl, Nicolas Rasmont, Matthew S. Glascock, Mitchell J. Wainwright, Steven P. Berg
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Multimode propulsion is the integration of two or more propulsive modes with shared propellant into a single spacecraft propulsion system. Multimode propulsion is emerging as an enabling technology that promises enhanced capabilities for spacecraft and space missions and can therefore play an important role in the future of in-space propulsion. Multimode propulsion has the potential to provide unprecedented flexibility and adaptability to spacecraft as a direct result of shared propellant and can provide mass savings for certain missions. These benefits can apply regardless of spacecraft size. Additional mass savings may be realized by sharing thruster hardware between modes, especially for …
Inkjet-Printed Ti3c2tx Mxene Electrodes For Multimodal Cutaneous Biosensing, Abdulelah Saleh, Shofarul Wustoni, Eloise Bihar, Jehad K. El-Demellawi, Yizhou Zhang, Adel Hama, Victor Druet, Arief Yudhanto, Gilles Lubineau, Husam N. Alshareef, Sahika Inal
Inkjet-Printed Ti3c2tx Mxene Electrodes For Multimodal Cutaneous Biosensing, Abdulelah Saleh, Shofarul Wustoni, Eloise Bihar, Jehad K. El-Demellawi, Yizhou Zhang, Adel Hama, Victor Druet, Arief Yudhanto, Gilles Lubineau, Husam N. Alshareef, Sahika Inal
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Among the existing two-dimensional materials, MXenes, i.e. transition metal carbides, nitrides and/or carbonitrides, stand out for their excellent electrochemical properties. Due to their high charge storage capacity, metal-like conductivity, biocompatibility as well as hydrophilicity, Ti3C2Tx MXene-based inks hold great potential for scalable production of skin conformable electronics via direct printing methods. Herein, we develop an aqueous MXene ink and inkjet-print MXene films on freestanding, flexible, and conducting polymer-based substrates. These skin-adherent MXene electrodes detect electrocardiography signals with high signal-to-noise ratio while exhibiting preserved electrical performance after 1000 cycles of bending with a 50 d long shelf life in ambient conditions. …
A Novel Dual-Band Decoupling Technique, Min Li, Jamal Muhammad Yasir, Kwan Lawrence Yeung, Lijun Jiang
A Novel Dual-Band Decoupling Technique, Min Li, Jamal Muhammad Yasir, Kwan Lawrence Yeung, Lijun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
This article presents a novel dual-band decoupling network (DN) to increase the isolation between two antennas. It is composed of two dual-band Wilkinson power dividers, four additional transmission lines (TLs), and two reactive components. The decoupling formulas are derived from systematic design procedures. Hence, the design parameters of the power divider, lengths of TLs, and reactance of reactive components can be precisely determined to realize high port isolation. Two benchmarks of the two-element symmetric and asymmetric monopole arrays are used to elaborate the design procedure and demonstrate the advantages of proposed DN. Results show that the proposed DN can offer …