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Contact Process With Simultaneous Spatial And Temporal Disorder, Xuecheng Ye, Thomas Vojta Oct 2022

Contact Process With Simultaneous Spatial And Temporal Disorder, Xuecheng Ye, Thomas Vojta

Physics Faculty Research & Creative Works

We study the absorbing-state phase transition in the one-dimensional contact process under the combined influence of spatial and temporal random disorders. We focus on situations in which the spatial and temporal disorders decouple. Couched in the language of epidemic spreading, this means that some spatial regions are, at all times, more favorable than others for infections, and some time periods are more favorable than others independent of spatial location. We employ a generalized Harris criterion to discuss the stability of the directed percolation universality class against such disorder. We then perform large-scale Monte Carlo simulations to analyze the critical behavior …

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Sum Rules For Energy Deposition Eigenchannels In Scattering Systems, Alexey Yamilov, Nicholas Bender, Hui Cao Oct 2022

Sum Rules For Energy Deposition Eigenchannels In Scattering Systems, Alexey Yamilov, Nicholas Bender, Hui Cao

Physics Faculty Research & Creative Works

In a random-scattering system, the deposition matrix maps the incident wavefront onto the internal field distribution across a target volume. The corresponding eigenchannels have been used to enhance the wave energy delivered to the target. Here, we find the sum rules for the eigenvalues and eigenchannels of the deposition matrix in any system geometry: including two- and three-dimensional scattering systems, as well as narrow waveguides and wide slabs. We derive a number of constraints on the eigenchannel intensity distributions inside the system as well as the corresponding eigenvalues. Our results are general and applicable to random systems of arbitrary scattering …

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Triple-Differential Cross Sections In Three-Dimensional Kinematics For Electron-Impact-Ionization Dynamics Of Tetrahydrofuran At 250-Ev Projectile Energy, Xiaorui Xue, Deepthy Maria Mootheril, Esam Ali, Maomao Gong, Shaokui Jia, Jiaqi Zhou, Enliang Wang, Jian Xing Li, Xiangjun Chen, Don H. Madison, Alexander Dorn, Xueguang Ren Oct 2022

Triple-Differential Cross Sections In Three-Dimensional Kinematics For Electron-Impact-Ionization Dynamics Of Tetrahydrofuran At 250-Ev Projectile Energy, Xiaorui Xue, Deepthy Maria Mootheril, Esam Ali, Maomao Gong, Shaokui Jia, Jiaqi Zhou, Enliang Wang, Jian Xing Li, Xiangjun Chen, Don H. Madison, Alexander Dorn, Xueguang Ren

Physics Faculty Research & Creative Works

We report a combined experimental and theoretical study of the ionization dynamics of tetrahydrofuran induced by 250 eV electron impact in which the highest occupied molecular orbital is ionized leading to the stable parent ion. Experimentally a reaction microscope was used, covering nearly the entire 4π solid angle for the ejected slow electron. We present the triple-differential cross sections for the projectile scattering angles of θ1 = -10∘ as a function of the emission angle of the ejected electrons with energies of E2=10, 15, and 20 eV, i.e., for asymmetric energy sharing between the scattered and ejected electrons. The measured …

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Enabling Ultrathick Electrodes Via A Microcasting Process For High Energy And Power Density Lithium-Ion Batteries, Tazdik Patwary Plateau, Hiep Pham, Yaqi Zhu, Ming-Chuan Leu, Jonghyun Park Oct 2022

Enabling Ultrathick Electrodes Via A Microcasting Process For High Energy And Power Density Lithium-Ion Batteries, Tazdik Patwary Plateau, Hiep Pham, Yaqi Zhu, Ming-Chuan Leu, Jonghyun Park

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Thickening electrodes is one effective approach to increase active material content for higher energy and low-cost lithium-ion batteries, but limits in charge transport and huge mechanical stress generation result in poor performance and eventual cell failure. This paper reports a new electrode fabrication process, referred to as µ-casting, enabling ultrathick electrodes that address the trade-off between specific capacity and areal/volumetric capacity. The proposed µ-casting is based on a patterned blade, enabling facile fabrication of 3D electrode structures. The study reveals the governing properties of µ-casted ultrathick electrodes and how this simultaneously improves battery energy/power performance. The process facilitates a short …

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Additive Manufacturing Of Complexly Shaped Sic With High Density Via Extrusion-Based Technique – Effects Of Slurry Thixotropic Behavior And 3d Printing Parameters, Ruoyu Chen, Adam Bratten, Joshua Rittenhouse, Tian Huang, Wenbao Jia, Ming-Chuan Leu, Haiming Wen Oct 2022

Additive Manufacturing Of Complexly Shaped Sic With High Density Via Extrusion-Based Technique – Effects Of Slurry Thixotropic Behavior And 3d Printing Parameters, Ruoyu Chen, Adam Bratten, Joshua Rittenhouse, Tian Huang, Wenbao Jia, Ming-Chuan Leu, Haiming Wen

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Additive manufacturing of dense SiC parts was achieved via an extrusion-based process followed by electrical-field assisted pressure-less sintering. The aim of this research was to study the effect of the rheological behavior of SiC slurry on the printing process and quality, as well as the influence of 3D printing parameters on the dimensions of the extruded filament, which are directly related to the printing precision and quality. Different solid contents and dispersant- Darvan 821A concentrations were studied to optimize the viscosity, thixotropy and sedimentation rate of the slurry. The optimal slurry was composed of 77.5 wt% SiC, Y2O3 and Al2O3 …

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A Simple Optical Fiber Spr Sensor With Ultra-High Sensitivity For Dual-Parameter Measurement, Farhan Mumtaz, Muhammad Roman, Bohong Zhang, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Muhammad Arshad Fiaz, Yutang Dai, Jie Huang Oct 2022

A Simple Optical Fiber Spr Sensor With Ultra-High Sensitivity For Dual-Parameter Measurement, Farhan Mumtaz, Muhammad Roman, Bohong Zhang, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Muhammad Arshad Fiaz, Yutang Dai, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This work reports a simple optical fiber Surface Plasmon Resonance (SPR) sensor with ultra-high sensitivity for simultaneous measurement of the dual-parameter. The sensor is based on a D-shaped fiber with a nanolayer coating of Silver (Ag) and Hematite (α-Fe2O3). The Ag/α-Fe2O3 layer is deposited on the longitudinal surface of residual cladding, and a Fiber Bragg Grating (FBG) is inscribed on the single-mode fiber (SMF) for temperature compensation. The α-Fe2O3 layer protects the Ag layer from oxidation and effectively enhances the surface plasmon wave while interacting with free electrons. Finite Element Method (FEM) modeling is employed to investigate the refractive index …

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Characterizing And Modeling The Coupled Hydro-Mechanical Cyclic Behavior Of Unsaturated Soils Using Constant Water Content Oedometer And Direct Shear Tests, Beshoy Riad, Xiong Zhang Oct 2022

Characterizing And Modeling The Coupled Hydro-Mechanical Cyclic Behavior Of Unsaturated Soils Using Constant Water Content Oedometer And Direct Shear Tests, Beshoy Riad, Xiong Zhang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Most transportation infrastructures are constructed on compacted soils that are typically unsaturated above the groundwater table. The soils are subjected to cyclic traffic loadings and seasonal wetting–drying cycles. Although problems associated with unsaturated soils are ubiquitous in the US, coupled hydro-mechanical analysis is rarely included in the design/analysis of transportation geosystems. This can be attributed to two main reasons: (a) there are no simple devices/methods which can be used to rapidly characterize stress–strain behavior for unsaturated soils, and (b) there is a lack of a constitutive model to study coupled hydro-mechanical cyclic behavior for unsaturated soils in a consistent way. …

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Benefits And Drawbacks Of Using Multiple Shrinkage Mitigating Strategies On Performance Of Fiber-Reinforced Mortar, Kamran Aghaee, Kamal Khayat Oct 2022

Benefits And Drawbacks Of Using Multiple Shrinkage Mitigating Strategies On Performance Of Fiber-Reinforced Mortar, Kamran Aghaee, Kamal Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Shrinkage mitigating strategies have been successfully used to prevent concrete cracking. Numerous studies have demonstrated the efficiency of shrinkage mitigating materials (SMM), such as expansive agent (EA), shrinkage reducing admixture (SRA), and superabsorbent polymer (SAP) on reducing shrinkage and cracking; however, few studies have addressed the limitations of using these materials. In addition, the mechanism of negative effect on microstructure and mechanical properties when these materials are used at high contents or in combinations is not well defined. This study investigates the effect of CaO-based EA, SRA, and SAP on compressive strength development, fiber pull-out strength, and shrinkage of fiber-reinforced …

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A Novel Iron Phosphate Cement Derived From Copper Smelting Slag And Its Early Age Hydration Mechanism, Yunlong Luo, Xintao Zhou, Zhongqiu Luo, Hongyan Ma, Yu Wei, Qin Liu Oct 2022

A Novel Iron Phosphate Cement Derived From Copper Smelting Slag And Its Early Age Hydration Mechanism, Yunlong Luo, Xintao Zhou, Zhongqiu Luo, Hongyan Ma, Yu Wei, Qin Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Copper slag (CS), a by-product of copper smelting, is normally stockpiled, leading to wastes of resource and space as well as environment pollution. It has not been massively reutilized as a supplementary cementitious material in Portland cement due to its low reactivity. In the present study, CS is for the first time utilized as the base component to prepare an iron phosphate cement (IPC) by reacting with ammonium dihydrogen phosphate (ADP) at room temperature. The influence of the raw materials mass ratio (CS/ADP) on the microstructure and performance of IPC pastes are investigated. It is found that the compressive strength …

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Control Of Dy 164 Bose-Einstein Condensate Phases And Dynamics With Dipolar Anisotropy, S. Halder, K. Mukherjee, Simeon I. Mistakidis, S. Das, P. G. Kevrekidis, P. K. Panigrahi, S. Majumder, H. R. Sadeghpour Oct 2022

Control Of Dy 164 Bose-Einstein Condensate Phases And Dynamics With Dipolar Anisotropy, S. Halder, K. Mukherjee, Simeon I. Mistakidis, S. Das, P. G. Kevrekidis, P. K. Panigrahi, S. Majumder, H. R. Sadeghpour

Physics Faculty Research & Creative Works

We Investigate The Quench Dynamics Of Quasi-One- And Two-Dimensional Dipolar Bose-Einstein Condensates Of Dy164 Atoms Under The Influence Of A Fast Rotating Magnetic Field. The Magnetic Field Thus Controls Both The Magnitude And Sign Of The Dipolar Potential. We Account For Quantum Fluctuations, Critical To Formation Of Exotic Quantum Droplet And Supersolid Phases In The Extended Gross-Pitaevskii Formalism, Which Includes The So-Called Lee-Huang-Yang Correction. An Analytical Variational Ansatz Allows Us To Obtain The Phase Diagrams Of The Superfluid And Droplet Phases. The Crossover From The Superfluid To The Supersolid Phase And To Single And Droplet Arrays Is Probed With Particle …

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Dynamical Excitation Processes And Correlations Of Three-Body Two-Dimensional Mixtures, G. Bougas, Simeon I. Mistakidis, P. Giannakeas, P. Schmelcher Oct 2022

Dynamical Excitation Processes And Correlations Of Three-Body Two-Dimensional Mixtures, G. Bougas, Simeon I. Mistakidis, P. Giannakeas, P. Schmelcher

Physics Faculty Research & Creative Works

A Scheme Is Proposed To Dynamically Excite Distinct Eigenstate Superpositions In Three-Body Bose-Fermi Mixtures Confined In A Two-Dimensional Harmonic Trap. The System Is Initialized In A Noninteracting State With A Variable Spatial Extent, And The Scattering Lengths Are Subsequently Quenched Spanning The Regime From Weak To Strong Interactions. For Spatial Widths Smaller Than The Three-Body Harmonic Oscillator Length, A Superposition Of Trimers And Atom-Dimers Is Dynamically Attained, Otherwise Trap States Are Predominantly Populated, As Inferred From The Frequency Spectrum Of The Fidelity. Accordingly, The Tan Contacts Evince The Buildup Of Short-Range Two- And Three-Body Correlations In The Course Of The …

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Aircraft Engine Particulate Matter Emissions From Sustainable Aviation Fuels: Results From Ground-Based Measurements During The Nasa/Dlr Campaign Eclif2/Nd-Max, Tobias Schripp, Bruce E. Anderson, Uwe Bauder, Bastian Rauch, Joel C. Corbin, Greg J. Smallwood, Prem Lobo, Ewan C. Crosbie, Michael A. Shook, Richard C. Miake-Lye, Zhenhong Yu, Andrew Freedman, Philip D. Whitefield, Claire E. Robinson Oct 2022

Aircraft Engine Particulate Matter Emissions From Sustainable Aviation Fuels: Results From Ground-Based Measurements During The Nasa/Dlr Campaign Eclif2/Nd-Max, Tobias Schripp, Bruce E. Anderson, Uwe Bauder, Bastian Rauch, Joel C. Corbin, Greg J. Smallwood, Prem Lobo, Ewan C. Crosbie, Michael A. Shook, Richard C. Miake-Lye, Zhenhong Yu, Andrew Freedman, Philip D. Whitefield, Claire E. Robinson

Chemistry Faculty Research & Creative Works

The use of alternative jet fuels by commercial aviation has increased substantially in recent years. Beside the reduction of carbon dioxide emission, the use of sustainable aviation fuels (SAF) may have a positive impact on the reduction of particulate emissions. This study summarizes the results from a ground-based measurement activity conducted in January 2018 as part of the ECLIF2/ND-MAX campaign in Ramstein, Germany. Two fossil reference kerosenes and three different blends with the renewable fuel component HEFA-SPK (Hydroprocessed Esters and Fatty Acids Synthetic Paraffinic Kerosene) were burned in an A320 with V2527-A5 engines to investigate the effect of fuel naphthalene/aromatic …

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Highly Sensitive Strain Sensor By Utilizing A Tunable Air Reflector And The Vernier Effect, Farhan Mumtaz, Muhammad Roman, Bohong Zhang, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Yutang Dai, Jie Huang Oct 2022

Highly Sensitive Strain Sensor By Utilizing A Tunable Air Reflector And The Vernier Effect, Farhan Mumtaz, Muhammad Roman, Bohong Zhang, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Yutang Dai, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

A highly sensitive strain sensor based on tunable cascaded Fabry–Perot interferometers (FPIs) is proposed and experimentally demonstrated. Cascaded FPIs consist of a sensing FPI and a reference FPI, which effectively generate the Vernier effect (VE). The sensing FPI comprises a hollow core fiber (HCF) segment sandwiched between single-mode fibers (SMFs), and the reference FPI consists of a tunable air reflector, which is constituted by a computer-programable fiber holding block to adjust the desired cavity length. The simulation results predict the dispersion characteristics of modes carried by HCF. The sensor's parameters are designed to correspond to a narrow bandwidth range, i.e., …

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Reinforcement Learning-Based Cooperative Optimal Output Regulation Via Distributed Adaptive Internal Model, Weinan Gao, Mohammed Mynuddin, Donald C. Wunsch, Zhong Ping Jiang Oct 2022

Reinforcement Learning-Based Cooperative Optimal Output Regulation Via Distributed Adaptive Internal Model, Weinan Gao, Mohammed Mynuddin, Donald C. Wunsch, Zhong Ping Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this article, a data-driven distributed control method is proposed to solve the cooperative optimal output regulation problem of leader-follower multiagent systems. Different from traditional studies on cooperative output regulation, a distributed adaptive internal model is originally developed, which includes a distributed internal model and a distributed observer to estimate the leader's dynamics. Without relying on the dynamics of multiagent systems, we have proposed two reinforcement learning algorithms, policy iteration and value iteration, to learn the optimal controller through online input and state data, and estimated values of the leader's state. By combining these methods, we have established a basis …

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Sustaining Patient Portal Continuous Use Intention And Enhancing Deep Structure Usage: Cognitive Dissonance Effects Of Health Professional Encouragement And Security Concerns, Murad Moqbel, Barbara Hewitt, Fiona Fui-Hoon Nah, Rosann M. Mclean Oct 2022

Sustaining Patient Portal Continuous Use Intention And Enhancing Deep Structure Usage: Cognitive Dissonance Effects Of Health Professional Encouragement And Security Concerns, Murad Moqbel, Barbara Hewitt, Fiona Fui-Hoon Nah, Rosann M. Mclean

Business and Information Technology Faculty Research & Creative Works

Sustaining patient portal use is a major problem for many healthcare organizations and providers. If this problem can be successfully addressed, it could have a positive impact on various stakeholders. Through the lens of cognitive dissonance theory, this study investigates the role of health professional encouragement as well as patients' security concerns in influencing continuous use intention and deep structure usage among users of a patient portal. The analysis of data collected from 177 patients at a major medical center in the Midwestern region of the United States shows that health professional encouragement helps increase the continuous use intention and …

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Studying Dynamic Pricing In Electrical Power Markets With Distributed Generation: Agent-Based Modeling And Reinforcement-Learning Approach, Gasser G. Ali, Islam H. El-Adaway, Charles Sims, J. Scott Holladay, Chien Fei Chen Oct 2022

Studying Dynamic Pricing In Electrical Power Markets With Distributed Generation: Agent-Based Modeling And Reinforcement-Learning Approach, Gasser G. Ali, Islam H. El-Adaway, Charles Sims, J. Scott Holladay, Chien Fei Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Distributed generation (DG) refers to small-scale generation resources that are located at or near end-consumers, such as photovoltaic (PV) solar systems. DG systems have become increasingly popular in recent years owing to their economic efficiency, reliability, and sustainability. However, the increasing adoption of DG is creating new obstacles for system operators due to the uncertainty in forecasting future demand. One concern is the possibility of facing a utility death spiral as a feedback loop between, on the one hand, the increasing adoption of DG and increasing electricity rates to cover generation and transmission overheads with, on the other hand, reduced …

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Push Them Forward: Challenges In Intergovernmental Organizations' Influence On Rural Broadband Infrastructure Expansion, Javier Valentín-Sívico, Casey I. Canfield, Ona Egbue Oct 2022

Push Them Forward: Challenges In Intergovernmental Organizations' Influence On Rural Broadband Infrastructure Expansion, Javier Valentín-Sívico, Casey I. Canfield, Ona Egbue

Engineering Management and Systems Engineering Faculty Research & Creative Works

Many rural US communities lack access to adequate broadband services. This paper draws on semi-structured interviews conducted in 2019 with 16 Regional Planning Commissions to uncover dynamics of how these intergovernmental organizations contribute to the deployment of broadband infrastructure in rural Missouri. The proposed framework integrates the decomposed Theory of Planned Behavior (TPB), the Theory of Reasoned Goal Pursuit, and Stakeholder Theory. Many participants reported a low level of involvement in broadband infrastructure initiatives even though supporting infrastructure development to promote economic growth is one of the Regional Planning Commissions' primary goals. Regional Planning Commissions are highly influenced by four …

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Effect Of Cu Additions On Scale Structure And Descaling Efficiency Of Low C Steel Reheated In A Combustion Gas Atmosphere, Richard Osei, Simon Lekakh, Ronald J. O'Malley Oct 2022

Effect Of Cu Additions On Scale Structure And Descaling Efficiency Of Low C Steel Reheated In A Combustion Gas Atmosphere, Richard Osei, Simon Lekakh, Ronald J. O'Malley

Materials Science and Engineering Faculty Research & Creative Works

Modern EAF steelmaking employs scrap as its primary source of raw material. Different sources of scrap have varying levels of residuals, which can negatively influence product properties, performance, and surface quality. The presence of some residuals, such as Cu and Ni in controlled quantities, can also positively impact steel performance for some applications. It is also well known that interactions between residuals and alloying elements in steel can modify the structure of scale formed during slab reheating prior to hot rolling. These changes in the scale structure can influence scale removability. In this study, the effect of varying Cu concentrations …

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Backscattering Analysis Utilizing Relaxed Hierarchical Equivalent Source Algorithm (Rhesa) For Scatterers In Vegetation Medium, Syabeela Syahali, Hong Tat Ewe, Gobi Vetharatnam, Li (Lijun) Jun Jiang Oct 2022

Backscattering Analysis Utilizing Relaxed Hierarchical Equivalent Source Algorithm (Rhesa) For Scatterers In Vegetation Medium, Syabeela Syahali, Hong Tat Ewe, Gobi Vetharatnam, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

The backscattering cross section of cylindrical and elliptical disk-shaped scatterers was investigated in this study, utilising a new numerical solution method called the relaxed hierarchical equivalent source algorithm (RHESA). The results were compared with the backscattering cross section of similar cases, using analytical method validation from literature. The objective of this research was to look into the possibility of replacing analytical methods with the RHESA in volume scattering calculations, and integrating it into modelling the backscattering of layers of dense media for microwave remote sensing in vegetation; as RHESA provides the freedom to model any shape of scatterer, as opposed …

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Predicting Defects In Laser Powder Bed Fusion Using In-Situ Thermal Imaging Data And Machine Learning, Sina Malakpour Estalaki, Cody S. Lough, Robert G. Landers, Edward C. Kinzel, Tengfei Luo Oct 2022

Predicting Defects In Laser Powder Bed Fusion Using In-Situ Thermal Imaging Data And Machine Learning, Sina Malakpour Estalaki, Cody S. Lough, Robert G. Landers, Edward C. Kinzel, Tengfei Luo

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Variation in the local thermal history during the Laser Powder Bed Fusion (LPBF) process in Additive Manufacturing (AM) can cause micropore defects, which add to the uncertainty of the mechanical properties (e.g., fatigue life, tensile strength) of the built materials. In-situ sensing has been proposed for monitoring the AM process to minimize defects, but successful minimization requires establishing a quantitative relationship between the sensing data and the porosity, which is particularly challenging with a large number of variables (e.g., laser speed, power, scan path, powder property). Physics-based modeling can simulate such an in-situ sensing-porosity relationship, but it is computationally costly. …

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Machine Learning In Aerodynamic Shape Optimization, Jichao Li, Xiaosong Du, Joaquim R.R.A. Martins Oct 2022

Machine Learning In Aerodynamic Shape Optimization, Jichao Li, Xiaosong Du, Joaquim R.R.A. Martins

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Machine learning (ML) has been increasingly used to aid aerodynamic shape optimization (ASO), thanks to the availability of aerodynamic data and continued developments in deep learning. We review the applications of ML in ASO to date and provide a perspective on the state-of-the-art and future directions. We first introduce conventional ASO and current challenges. Next, we introduce ML fundamentals and detail ML algorithms that have been successful in ASO. Then, we review ML applications to ASO addressing three aspects: compact geometric design space, fast aerodynamic analysis, and efficient optimization architecture. In addition to providing a comprehensive summary of the research, …

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Semi-Annual Progress Report #11, Missouri University Of Science And Technology. Inspire - University Transportation Center Sep 2022

Semi-Annual Progress Report #11, Missouri University Of Science And Technology. Inspire - University Transportation Center

Semi-Annual Progress Reports

No abstract provided.

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Artificial Intelligence In Civil Infrastructure Health Monitoring—Historical Perspectives, Current Trends, And Future Visions, Tarutal Ghosh Mondal, Genda Chen Sep 2022

Artificial Intelligence In Civil Infrastructure Health Monitoring—Historical Perspectives, Current Trends, And Future Visions, Tarutal Ghosh Mondal, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Over the past 2 decades, the use of artificial intelligence (AI) has exponentially increased toward complete automation of structural inspection and assessment tasks. This trend will continue to rise in image processing as unmanned aerial systems (UAS) and the internet of things (IoT) markets are expected to expand at a compound annual growth rate of 57.5% and 26%, respectively, from 2021 to 2028. This paper aims to catalog the milestone development work, summarize the current research trends, and envision a few future research directions in the innovative application of AI in civil infrastructure health monitoring. A blow-by-blow account of the …

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Common Ground Newsletter Fall 2022, Missouri University Of Science And Technology Sep 2022

Common Ground Newsletter Fall 2022, Missouri University Of Science And Technology

Common Ground

- Summer camps returned in person

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Data Augmentation For Improving Emotion Recognition In Software Engineering Communication, Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski Sep 2022

Data Augmentation For Improving Emotion Recognition In Software Engineering Communication, Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski

Computer Science Faculty Research & Creative Works

Emotions (e.g., Joy, Anger) are prevalent in daily software engineering (SE) activities, and are known to be significant indicators of work productivity (e.g., bug fixing efficiency). Recent studies have shown that directly applying general purpose emotion classification tools to SE corpora is not effective. Even within the SE domain, tool performance degrades significantly when trained on one communication channel and evaluated on another (e.g., Stack Overflow vs. GitHub comments). Retraining a tool with channel-specific data takes significant effort since manually annotating a large dataset of ground truth data is expensive. In this paper, we address this data scarcity problem by …

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Pollutants Corrupt Resilience Pathways Of Aging In The Nematode C. Elegans, Andrea Scharf, Annette Limke, Karl Heinz Guehrs, Anna Von Mikecz Sep 2022

Pollutants Corrupt Resilience Pathways Of Aging In The Nematode C. Elegans, Andrea Scharf, Annette Limke, Karl Heinz Guehrs, Anna Von Mikecz

Biological Sciences Faculty Research & Creative Works

Delaying aging while prolonging health and lifespan is a major goal in aging research. One promising strategy is to focus on reducing negative interventions such as pollution and their accelerating effect on age-related degeneration and disease. Here, we used the short-lived model organism C. elegans to analyze whether two candidate pollutants corrupt general aging pathways. We show that the emergent pollutant silica nanoparticles (NPs) and the classic xenobiotic inorganic mercury reduce lifespan and cause a premature protein aggregation phenotype. Comparative mass spectrometry revealed that increased insolubility of proteins with important functions in proteostasis is a shared phenotype of intrinsic- and …

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Flexural Strength Of Innovative Thin-Walled Composite Cold-Formed Steel/Pe-Ecc Beams, Ahmed Sheta, Xing Ma, Yan Zhuge, Mohamed Elgawady, Julie Mills, Elsayed Abd-Elaal Sep 2022

Flexural Strength Of Innovative Thin-Walled Composite Cold-Formed Steel/Pe-Ecc Beams, Ahmed Sheta, Xing Ma, Yan Zhuge, Mohamed Elgawady, Julie Mills, Elsayed Abd-Elaal

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

A detailed experimental investigation on the flexural behaviour of an innovative precast composite element combining cold-formed steel (CFS) and engineered cementitious composites (ECC) is presented in this paper. Bonding ECC to the lightweight thin-walled CFS sections enhanced the buckling, bearing, and torsional properties of the composite sections. The proposed composite system will be used as precast flexural members in framed structures with large spans or as a rehabilitation approach for corroded cold-formed and hot-rolled steel flexural members. Simply supported beams with comparatively long spans with span-to-depth ratios of 6.83 and 13.48 were installed back-to-back and tested under a 4-point loading …

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Long-Time Kinetic Impact On Key Factors Affecting Asphaltene Precipitation, Ato Kwamena Quainoo, Abdulmohsin Imqam Sep 2022

Long-Time Kinetic Impact On Key Factors Affecting Asphaltene Precipitation, Ato Kwamena Quainoo, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The employment of predictive techniques combining kinetic and thermodynamic analyses is the succinct solution to effectively control asphaltene precipitation during crude oil production. Although thermodynamic processes and conditions have been well studied in the literature, the effect of long-time kinetics on the key factors affecting the precipitation of asphaltenes was not critically studied. This work employed a model oil for asphaltene precipitation long-time kinetic observations. Filtration and confocal microscopy experimentations for time periods of 0-7200 min were utilized to study asphaltene yields and sizes at room and high temperatures (25, 50, and 70 °C), rotation speeds (60 and 150 rpm), …

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Reduced Building Energy Consumption By Combined Indoor Co2 And H2o Composition Control, Anshuman Sinha, Harshul Thakkar, Fateme Rezaei, Yoshiaki Kawajiri, Matthew J. Realff Sep 2022

Reduced Building Energy Consumption By Combined Indoor Co2 And H2o Composition Control, Anshuman Sinha, Harshul Thakkar, Fateme Rezaei, Yoshiaki Kawajiri, Matthew J. Realff

Chemical and Biochemical Engineering Faculty Research & Creative Works

Rapid growth in global energy consumption has raised concern on the environmental impacts such as ozone layer depletion and climate change. Enclosed space, such as commercial buildings, accounts for about 40% of global energy consumption and the demand is constantly increasing due to increasing population, urbanization, and economic development. The energy demands in the building sector calls for strategic measures to develop energy efficient technologies. This paper presents a strategy to decrease energy demands inside buildings by proposing a ventilation system which regulates the enclosed air quality resulting in reduced air conditioning. The system consists of multiple adsorption beds with …

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Random Strain Induced Correlations In Materials With Intertwined Nematic And Magnetic Orders, W. Joe Meese, Thomas Vojta, Rafael M. Fernandes Sep 2022

Random Strain Induced Correlations In Materials With Intertwined Nematic And Magnetic Orders, W. Joe Meese, Thomas Vojta, Rafael M. Fernandes

Physics Faculty Research & Creative Works

Electronic nematicity is rarely observed as an isolated instability of a correlated electron system. Instead, in iron pnictides and in certain cuprates and heavy-fermion materials, nematicity is intertwined with an underlying spin-stripe or charge-stripe state. As a result, random strain, ubiquitous in any real crystal, creates both random-field disorder for the nematic degrees of freedom and random-bond disorder for the spin or charge ones. Here, we put forward an Ashkin-Teller model with random Baxter fields to capture the dual role of random strain in nematic systems for which nematicity is a composite order arising from a stripe state. Using Monte …

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