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Full-Text Articles in Engineering

Bioabsorbable Metal Zinc Differentially Affects Mitochondria In Vascular Endothelial And Smooth Muscle Cells, Olivia R. M. Bagshaw, Fereshteh Moradi, Christopher S. Moffatt, Hillary A. Hettwer, Ping Liang, Jeremy Goldman, Jaroslaw Drelich, Jeffrey A. Stuart Dec 2021

Bioabsorbable Metal Zinc Differentially Affects Mitochondria In Vascular Endothelial And Smooth Muscle Cells, Olivia R. M. Bagshaw, Fereshteh Moradi, Christopher S. Moffatt, Hillary A. Hettwer, Ping Liang, Jeremy Goldman, Jaroslaw Drelich, Jeffrey A. Stuart

Michigan Tech Publications

Zinc is an essential trace element having various structural, catalytic and regulatory interactions with an estimated 3000 proteins. Zinc has drawn recent attention for its use, both as pure metal and alloyed, in arterial stents due to its biodegradability, biocompatibility, and low corrosion rates. Previous studies have demonstrated that zinc metal implants prevent the development of neointimal hyperplasia, which is a common cause of restenosis following coronary intervention. This suppression appears to be smooth muscle cell-specific, as reendothelization of the neointima is not inhibited. To better understand the basis of zinc's differential effects on rat aortic smooth muscle (RASMC ...


3d Printing In Cardiology: A Review Of Applications And Roles For Advanced Cardiac Imaging, Ellen M. Lindquist, Jordan M. Gosnell, Sana K. Khan, John L. Byl, Weihua Zhou, Jingfeng Jiang, Et. Al. Dec 2021

3d Printing In Cardiology: A Review Of Applications And Roles For Advanced Cardiac Imaging, Ellen M. Lindquist, Jordan M. Gosnell, Sana K. Khan, John L. Byl, Weihua Zhou, Jingfeng Jiang, Et. Al.

Michigan Tech Publications

With the rate of cardiovascular diseases in the U.S increasing throughout the years, there is a need for developing more advanced treatment plans that can be tailored to specific patients and scenarios. The development of 3D printing is rapidly gaining acceptance into clinical cardiology.

In this review, key technologies used in 3D printing are briefly summarized, particularly, the use of artificial intelligence (AI), open-source tools like MeshLab and MeshMixer, and 3D printing techniques such as fused deposition molding (FDM) and polyjet are reviewed. The combination of 3D printing, multiple image integration, and augmented reality may greatly enhance data visualization ...


Decarbonizing Rural Residential Buildings In Cold Climates: A Techno-Economic Analysis Of Heating Electrification, Filippo Padovani, Nelson Sommerfeldt, Francesca Longobardi, Joshua M. Pearce Nov 2021

Decarbonizing Rural Residential Buildings In Cold Climates: A Techno-Economic Analysis Of Heating Electrification, Filippo Padovani, Nelson Sommerfeldt, Francesca Longobardi, Joshua M. Pearce

Michigan Tech Publications

Given the need for decarbonization of the heating sector and the acute need of a propane replacement in the U.S. Upper Midwest, this study quantifies the techno-economic characteristics of sustainable heating electrification in isolated rural, residential buildings in cold climates without natural gas supply. Archetypal buildings are modeled under four levels of electrification. At each electrification level, a parametric solar photovoltaic (PV) sizing analysis is performed and the total life cycle cost, renewable fraction and greenhouse gas (GHG) emissions are calculated based on the primary energy supply for each building type. Cost optimal solutions are stress-tested with multi-dimensional sensitivity ...


Research And Applications Of Artificial Neural Network In Pavement Engineering: A State-Of-The-Art Review, Xu Yang, Jinchao Guan, Ling Ding, Zhanping You, Vincent C.S. Lee, Mohd Rosli Mohd Hasan, Xiaoyun Cheng Oct 2021

Research And Applications Of Artificial Neural Network In Pavement Engineering: A State-Of-The-Art Review, Xu Yang, Jinchao Guan, Ling Ding, Zhanping You, Vincent C.S. Lee, Mohd Rosli Mohd Hasan, Xiaoyun Cheng

Michigan Tech Publications

Given the great advancements in soft computing and data science, artificial neural network (ANN) has been explored and applied to handle complicated problems in the field of pavement engineering. This study conducted a state-of-the-art review for surveying the recent progress of ANN application at different stages of pavement engineering, including pavement design, construction, inspection and monitoring, and maintenance. This study focused on the papers published over the last three decades, especially the studies conducted since 2013. Through literature retrieval, a total of 683 papers in this field were identified, among which 143 papers were selected for an in-depth review. The ...


Open Source Software Toolchain For Automated Non‐Targeted Screening For Toxins In Alternative Foods, S. W. Breuer, L. Toppen, S. K. Schum, J. M. Pearce Oct 2021

Open Source Software Toolchain For Automated Non‐Targeted Screening For Toxins In Alternative Foods, S. W. Breuer, L. Toppen, S. K. Schum, J. M. Pearce

Michigan Tech Publications

Previous published methods for non-targeted screening of toxins in alternative foods such as leaf concentrate, agricultural residues or plastic fed to biological consortia are time consuming and expensive and thus present accessibility, as well as, time-constraint issues for scientists from under resourced settings to identify safe alternative foods. The novel methodology presented here, utilizes a completely free and open source software toolchain for automatically screening unknown alternative foods for toxicity using experimental data from ultra-high-pressure liquid chromatography and mass spectrometry. The process uses three distinct tools (mass spectrometry analysis with MZmine 2, formula assignment with MFAssignR, and data filtering with ...


Mechanical Properties And Characterization Of Epoxy Composites Containing Highly Entangled As-Received And Acid Treated Carbon Nanotubes, Aaron Krieg, Julia A. King, Gregory M. Odegard, Timothy Leftwich, Leif K. Odegard, Paul D. Fraley, Ibrahim Miskioglu, Claire Jolowsky, Matthew Lundblad, Jin Gyu Park, Richard Liang Sep 2021

Mechanical Properties And Characterization Of Epoxy Composites Containing Highly Entangled As-Received And Acid Treated Carbon Nanotubes, Aaron Krieg, Julia A. King, Gregory M. Odegard, Timothy Leftwich, Leif K. Odegard, Paul D. Fraley, Ibrahim Miskioglu, Claire Jolowsky, Matthew Lundblad, Jin Gyu Park, Richard Liang

Michigan Tech Publications

Huntsman–Merrimack MIRALON® carbon nanotubes (CNTs) are a novel, highly entan-gled, commercially available, and scalable format of nanotubes. As-received and acid-treated CNTs were added to aerospace grade epoxy (CYCOM® 977-3), and the composites were characterized. The epoxy resin is expected to infiltrate the network of the CNTs and could improve mechanical properties. Epoxy composites were tested for flexural and viscoelastic properties and the as-re-ceived and acid treated CNTs were characterized using Field-Emission Scanning and Transmission Electron Microscopy, X-Ray Photoelectron Spectroscopy, and Thermogravimetric Analysis. Composites containing 0.4 wt% as-received CNTs showed an increase in flexural strength, from 136.9 MPa ...


A High Solids Field-To-Fuel Research Pipeline To Identify Interactions Between Feedstocks And Biofuel Production, Meenaa Chandrasekar, Leela Joshi, Karleigh M. Krieg, Sarvada Chipkar, Emily Burke, Derek J. Debrauske, Kurt D. Thelen, Trey K. Sato, Rebecca Ong Sep 2021

A High Solids Field-To-Fuel Research Pipeline To Identify Interactions Between Feedstocks And Biofuel Production, Meenaa Chandrasekar, Leela Joshi, Karleigh M. Krieg, Sarvada Chipkar, Emily Burke, Derek J. Debrauske, Kurt D. Thelen, Trey K. Sato, Rebecca Ong

Michigan Tech Publications

Background: Environmental factors, such as weather extremes, have the potential to cause adverse effects on plant biomass quality and quantity. Beyond adversely affecting feedstock yield and composition, which have been extensively studied, environmental factors can have detrimental effects on saccharification and fermentation processes in biofuel production. Only a few studies have evaluated the effect of these factors on biomass deconstruction into biofuel and resulting fuel yields. This field-to-fuel evaluation of various feedstocks requires rigorous coordination of pretreatment, enzymatic hydrolysis, and fermentation experiments. A large number of biomass samples, often in limited quantity, are needed to thoroughly understand the effect of ...


Editorial: Development And Application Of Bituminous Materials For Civil Infrastructures, Zhanping You, Jie Ji, Dawei Wang, Feng Li, Hui Yao, Yue Hou Sep 2021

Editorial: Development And Application Of Bituminous Materials For Civil Infrastructures, Zhanping You, Jie Ji, Dawei Wang, Feng Li, Hui Yao, Yue Hou

Michigan Tech Publications

No abstract provided.


Evaluating Essential Processes And Forecast Requirements For Meteotsunami-Induced Coastal Flooding, Chenfu Huang, Eric Anderson, Yi Liu, Gangfeng Ma, Greg Mann, Pengfei Xue Sep 2021

Evaluating Essential Processes And Forecast Requirements For Meteotsunami-Induced Coastal Flooding, Chenfu Huang, Eric Anderson, Yi Liu, Gangfeng Ma, Greg Mann, Pengfei Xue

Michigan Tech Publications

Meteotsunamis pose a unique threat to coastal communities and often lead to damage of coastal infrastructure, deluge of nearby property, and loss of life and injury. The Great Lakes are a known hot-spot of meteotsunami activity and serve as an important region for investigation of essential hydrodynamic processes and model forecast requirements in meteotsunami-induced coastal flooding. For this work, we developed an advanced hydrodynamic model and evaluate key model attributes and dynamic processes, including: (1) coastal model grid resolution and wetting and drying process in low-lying zones, (2) coastal infrastructure, including breakwaters and associated submerging and overtopping processes, (3) annual ...


Sliding Mode Control Of A Nonlinear Wave Energy Converter Model, Tania Demonte Gonzalez, Gordon Parker, Enrico Anderlini, Wayne Weaver Sep 2021

Sliding Mode Control Of A Nonlinear Wave Energy Converter Model, Tania Demonte Gonzalez, Gordon Parker, Enrico Anderlini, Wayne Weaver

Michigan Tech Publications

The most accurate wave energy converter models for heaving point absorbers include nonlinearities, which increase as resonance is achieved to maximize the energy capture. Over the power production spectrum and within the physical limits of the devices, the efficiency of wave energy converters can be enhanced by employing a control scheme that accounts for these nonlinearities. This paper proposes a sliding mode control for a heaving point absorber that includes the nonlinear effects of the dynamic and static Froude‐Krylov forces. The sliding mode controller tracks a reference velocity that matches the phase of the excitation force to ensure higher ...


Progressive Poling Of Large Area, High R33 Electro-Optic Polymer Seo100c, Michael Maurer, Evan Gawron, Christopher Middlebrook Sep 2021

Progressive Poling Of Large Area, High R33 Electro-Optic Polymer Seo100c, Michael Maurer, Evan Gawron, Christopher Middlebrook

Michigan Tech Publications

SEO100c, an EO-polymer, has been reported of having an r33 in excess of 100 pm/V. Experimental poling research was performed on rib waveguide modulator for device design and development. Reported is the determination of the impact that temperature and voltage have on the poling of a SEO100c waveguide device in order to maximize the r33 while avoiding damage to the device structure ensuring high yield in manufacture. The poling process is shown to have a nonlinear relationship between r33 and poling field aiding in the selection of achievable poling voltages for required r33 values. Device thermal stability is quantified ...


Validation Of The Mathematics Motivation Questionnaire (Mmq) For Secondary School Students, Logan Fiorella, So Yoon Yoon, Kinnari Atit, Jason R. Power, Grace Panther, Sheryl Sorby, David H. Uttal, Norma Veurink Aug 2021

Validation Of The Mathematics Motivation Questionnaire (Mmq) For Secondary School Students, Logan Fiorella, So Yoon Yoon, Kinnari Atit, Jason R. Power, Grace Panther, Sheryl Sorby, David H. Uttal, Norma Veurink

Michigan Tech Publications

Background: Motivation is critical for supporting persistence and achievement in science, technology, engineering, and mathematics (STEM) disciplines. In this study, we focus on the assessment of mathematics motivation among secondary school students. We provide validity and reliability evidence for the Mathematics Motivation Questionnaire (MMQ)—adapted from the Science Motivation Questionnaire designed for college students—using data from 2551 secondary students from seven states across the United States. Results: Exploratory and confirmatory factor analyses confirmed five latent factors of the MMQ indicated by 19 items: intrinsic value, self-regulation, self-efficacy, utility value, and test anxiety. The nonlinear SEM reliability coefficients of the ...


A Review Of Characteristics Of Bio-Oils And Their Utilization As Additives Of Asphalts, Ran Zhang, Zhanping You, Jie Ji, Qingwen Shi, Zhi Suo Aug 2021

A Review Of Characteristics Of Bio-Oils And Their Utilization As Additives Of Asphalts, Ran Zhang, Zhanping You, Jie Ji, Qingwen Shi, Zhi Suo

Michigan Tech Publications

Transforming waste biomass materials into bio-oils in order to partially substitute petroleum asphalt can reduce environmental pollution and fossil energy consumption and has economic benefits. The characteristics of bio-oils and their utilization as additives of asphalts are the focus of this review. First, physicochemical properties of various bio-oils are characterized. Then, conventional, rheological, and chemical properties of bio-oil modified asphalt binders are synthetically reviewed, as well as road performance of bio-oil modified asphalt mixtures. Finally, performance optimization is discussed for bio-asphalt binders and mixtures. This review indicates that bio-oils are highly complex materials that contain various compounds. Moreover, bio-oils are ...


Application Of Epoxy-Asphalt Composite In Asphalt Paving Industry: A Review With Emphasis On Physicochemical Properties And Pavement Performances, Yu Chen, Nabil Hossiney, Xu Yang, Hainian Wang, Zhanping You Aug 2021

Application Of Epoxy-Asphalt Composite In Asphalt Paving Industry: A Review With Emphasis On Physicochemical Properties And Pavement Performances, Yu Chen, Nabil Hossiney, Xu Yang, Hainian Wang, Zhanping You

Michigan Tech Publications

One of the failure mechanisms associated with asphalt paving layers, especially on steel deck bridges, is large permanent deformation, which adversely affects its long-term performance in service. Thus, epoxy resin was introduced in asphalt paving industry to tackle permanent deformation of asphalt mixtures due to its thermosetting nature. In this review, epoxy resin as a dominant component of the epoxy-asphalt composite system was first considered, followed by a discussion on its curing methods and curing mechanism. Furthermore, the physicochemical property and mechanical performance of epoxy asphalt and epoxy asphalt mixture were thoroughly examined. Crosslink density of epoxy asphalt dictates its ...


A Xanes Study Of Lithium Polysulfide Solids: A First-Principles Study, Qing Guo, Kah Chun Lau, Ravindra Pandey Aug 2021

A Xanes Study Of Lithium Polysulfide Solids: A First-Principles Study, Qing Guo, Kah Chun Lau, Ravindra Pandey

Michigan Tech Publications

X-ray absorption spectroscopy (XAS) is used for capturing the reaction mechanisms at the molecular level via the determination of local electronic configurations inside Li-S batteries. In this paper, a comprehensive investigation of the S K-edge X-ray absorption near-edge structure (XANES) of a series of stoichiometric lithium polysulfide solids was performed, assuming that these polysulfide solids are formed during the battery cycling process. The results based on density functional theory show that the pre-edge peak in the S K-edge XANES spectra is not a common feature in the solid phase in contrast to the case of pristine polysulfide molecules where the ...


Elementary Reaction-Based Kinetic Model For The Fate Of: N -Nitrosodimethylamine Under Uv Oxidation, Benjamin Barrios, Divya Kamath, Erica Coscarelli, Daisuke Minakata Aug 2021

Elementary Reaction-Based Kinetic Model For The Fate Of: N -Nitrosodimethylamine Under Uv Oxidation, Benjamin Barrios, Divya Kamath, Erica Coscarelli, Daisuke Minakata

Michigan Tech Publications

UV photolysis is an effective process to remove nitrosamines from contaminated water resources. Nitrosamines represent a class of compounds with high potential for carcinogenicity and, therefore, there are serious concerns regarding their threat to human health and their environmental toxicity. Although the photochemical parameters of parent nitrosamines and their initial reaction pathways are well understood, the fate of nitrogen-containing species and reactive nitrogen species generated from nitrosamine degradation has not yet been elucidated. In this study, we develop an elementary reaction-based kinetic model for the photolysis of N-nitrosodimethylamine (NDMA) and the photochemical transformation products. We use density functional theory quantum ...


Extension Of A Gaseous Dry Deposition Algorithm To Oxidized Volatile Organic Compounds And Hydrogen Cyanide For Application In Chemistry Transport Models, Zhiyong Wu, Leiming Zhang, John T. Walker, Paul A. Makar, Judith Perlinger, Xuemei Wang Aug 2021

Extension Of A Gaseous Dry Deposition Algorithm To Oxidized Volatile Organic Compounds And Hydrogen Cyanide For Application In Chemistry Transport Models, Zhiyong Wu, Leiming Zhang, John T. Walker, Paul A. Makar, Judith Perlinger, Xuemei Wang

Michigan Tech Publications

The dry deposition process refers to flux loss of an atmospheric pollutant due to uptake of the pollutant by the Earth's surfaces, including vegetation, underlying soil, and any other surface types. In chemistry transport models (CTMs), the dry deposition flux of a chemical species is typically calculated as the product of its surface layer concentration and its dry deposition velocity (Vd); the latter is a variable that needs to be highly empirically parameterized due to too many meteorological, biological, and chemical factors affecting this process. The gaseous dry deposition scheme of Zhang et al. (2003) parameterizes Vd for 31 ...


Synthesis And Biomedical Applications Of Functional Polymers, Jianxun Ding, Di Li, Jingxiao Chen, Chao Zhao, Parisa Pour Shahid Saeed Abadi Aug 2021

Synthesis And Biomedical Applications Of Functional Polymers, Jianxun Ding, Di Li, Jingxiao Chen, Chao Zhao, Parisa Pour Shahid Saeed Abadi

Michigan Tech Publications

No abstract provided.


Hepatic Cell Mobilization For Protection Against Ischemic Myocardial Injury, Shu Q. Liu, John B. Troy, Chi Hao Luan, Roger J. Guillory Ii Aug 2021

Hepatic Cell Mobilization For Protection Against Ischemic Myocardial Injury, Shu Q. Liu, John B. Troy, Chi Hao Luan, Roger J. Guillory Ii

Michigan Tech Publications

The heart is capable of activating protective mechanisms in response to ischemic injury to support myocardial survival and performance. These mechanisms have been recognized primarily in the ischemic heart, involving paracrine signaling processes. Here, we report a distant cardioprotective mechanism involving hepatic cell mobilization to the ischemic myocardium in response to experimental myocardial ischemia–reperfusion (MI-R) injury. A parabiotic mouse model was generated by surgical skin-union of two mice and used to induce bilateral MI-R injury with unilateral hepatectomy, establishing concurrent gain- and loss-of-hepatic cell mobilization conditions. Hepatic cells, identified based on the cell-specific expression of enhanced YFP, were found ...


Single-Particle Characterization Of Sars-Cov-2 Isoelectric Point And Comparison To Variants Of Interest, Oluwatoyin Areo, Pratik U. Joshi, Mark Obrenovich, Moncef Tayahi, Caryn L. Heldt Jul 2021

Single-Particle Characterization Of Sars-Cov-2 Isoelectric Point And Comparison To Variants Of Interest, Oluwatoyin Areo, Pratik U. Joshi, Mark Obrenovich, Moncef Tayahi, Caryn L. Heldt

Michigan Tech Publications

SARS-CoV-2, the cause of COVID-19, is a new, highly pathogenic coronavirus, which is the third coronavirus to emerge in the past 2 decades and the first to become a global pandemic. The virus has demonstrated itself to be extremely transmissible and deadly. Recent data suggest that a targeted approach is key to mitigating infectivity. Due to the proliferation of cataloged protein and nucleic acid sequences in databases, the function of the nucleic acid, and genetic encoded proteins, we make predictions by simply aligning sequences and exploring their homology. Thus, similar amino acid sequences in a protein usually confer similar biochemical ...


Hydrochloric Acid Modification And Lead Removal Studies On Naturally Occurring Zeolites From Nevada, New Mexico, And Arizona, Garven M. Huntley, Rudy Luck, Michael Mullins, Nick Newberry Jul 2021

Hydrochloric Acid Modification And Lead Removal Studies On Naturally Occurring Zeolites From Nevada, New Mexico, And Arizona, Garven M. Huntley, Rudy Luck, Michael Mullins, Nick Newberry

Michigan Tech Publications

Four naturally occurring zeolites were examined to verify their assignments as chabazites AZLB-Ca and AZLB-Na (Bowie, Arizona) and clinoptilolites NM-Ca (Winston, New Mexico) and NV-Na (Ash Meadows, Nevada). Based on powder X-ray diffraction, NM-Ca was discovered to be mostly quartz with some clinoptilolite residues. Treatment with concentrated HCl (12.1 M) acid resulted in AZLB-Ca and AZLB-Na, the chabazite-like species, becoming amorphous, as confirmed by powder X-ray diffraction. In contrast, NM-Ca and NV-Na, which are clinoptilolite-like species, withstood boiling in concentrated HCl acid. This treatment removes calcium, magnesium, sodium, potassium, aluminum, and iron atoms or ions from the framework while ...


Early-Stage Gas Identification Using Convolutional Long Short-Term Neural Network With Sensor Array Time Series Data, Kai Zhou, Yixin Liu Jul 2021

Early-Stage Gas Identification Using Convolutional Long Short-Term Neural Network With Sensor Array Time Series Data, Kai Zhou, Yixin Liu

Michigan Tech Publications

Gas identification/classification through pattern recognition techniques based on gas sensor arrays often requires the equilibrium responses or the full traces of time-series data of the sensor array. Leveraging upon the diverse gas sensing kinetics behaviors measured via the sensor array, a computational intelligence-based meta-model is proposed to automatically conduct the feature extraction and subsequent gas identification using time-series data during the transitional phase before reaching equilibrium. The time-series data contains implicit temporal dependency/correlation that is worth being characterized to enhance the gas identification performance and reliability. In this context, a tailored approach so-called convolutional long short-term memory (CLSTM ...


A Simple Gas-Kinetic Model For Dilute And Weakly Charged Plasma Micro-Jet Flows, Shiying Cai, Chunpei Cai Jul 2021

A Simple Gas-Kinetic Model For Dilute And Weakly Charged Plasma Micro-Jet Flows, Shiying Cai, Chunpei Cai

Michigan Tech Publications

This paper presents a simple model for slightly charged gas expanding into a vacuum from a planar exit. The number density, bulk velocity, temperature, and potential at the exit are given. The electric field force is assumed weaker than the convection term and is neglected in the analysis. As such, the quasi-neutral condition is naturally adopted and the potential field is computed with the Boltzmann relation. At far field, the exit degenerates as a point source, and simplified analytical formulas for flow and electric fields are obtained. The results are generic and offer insights on many existing models in the ...


Wetting Simulations Of High-Performance Polymer Resins On Carbon Surfaces As A Function Of Temperature Using Molecular Dynamics, Swapnil S. Bamane, Prashik S. Gaikwad, Matthew Radue, S. Gowtham, Gregory M. Odegard Jun 2021

Wetting Simulations Of High-Performance Polymer Resins On Carbon Surfaces As A Function Of Temperature Using Molecular Dynamics, Swapnil S. Bamane, Prashik S. Gaikwad, Matthew Radue, S. Gowtham, Gregory M. Odegard

Michigan Tech Publications

Resin/reinforcement wetting is a key parameter in the manufacturing of carbon nanotube (CNT)-based composite materials. Determining the contact angle between combinations of liquid resin and reinforcement surfaces is a common method for quantifying wettability. As experimental measurement of contact angle can be difficult when screening multiple high-performance resins with CNT materials such as CNT bundles or yarns, computational approaches are necessary to fa-cilitate CNT composite material design. A molecular dynamics simulation method is developed to predict the contact angle of high-performance polymer resins on CNT surfaces dominated by aromatic carbon, aliphatic carbon, or a mixture thereof (amorphous carbon ...


Evaluation Of Deep Learning Against Conventional Limit Equilibrium Methods For Slope Stability Analysis, Behnam Azmoon, Aynaz Biniyaz, Zhen (Leo) Liu Jun 2021

Evaluation Of Deep Learning Against Conventional Limit Equilibrium Methods For Slope Stability Analysis, Behnam Azmoon, Aynaz Biniyaz, Zhen (Leo) Liu

Michigan Tech Publications

This paper presents a comparison study between methods of deep learning as a new cat-egory of slope stability analysis, built upon the recent advances in artificial intelligence and conventional limit equilibrium analysis methods. For this purpose, computer code was developed to cal-culate the factor of safety (FS) using four limit equilibrium methods: Bishop’s simplified method, the Fellenius method, Janbu’s simplified method, and Janbu’s corrected method. The code was ver-ified against Slide2 in RocScience. Subsequently, the average FS values were used to approximate the “true” FS of the slopes for labeling the images for deep learning. Using this ...


Remote Sensing-Based Statistical Approach For Defining Drained Lake Basins In A Continuous Permafrost Region, North Slope Of Alaska, Helena Bergstedt, Benjamin M. Jones, Kenneth M Hinkel, Louise Farquharson, Benjamin V. Gaglioti, Andrew D. Parsekian, Mikhail Kanevskiy, Noriaki Ohara, Amy L. Breen, Rodrigo C. Rangel, Guido Grosse, Ingmar Nitze Jun 2021

Remote Sensing-Based Statistical Approach For Defining Drained Lake Basins In A Continuous Permafrost Region, North Slope Of Alaska, Helena Bergstedt, Benjamin M. Jones, Kenneth M Hinkel, Louise Farquharson, Benjamin V. Gaglioti, Andrew D. Parsekian, Mikhail Kanevskiy, Noriaki Ohara, Amy L. Breen, Rodrigo C. Rangel, Guido Grosse, Ingmar Nitze

Michigan Tech Publications

Lake formation and drainage are pervasive phenomena in permafrost regions. Drained lake basins (DLBs) are often the most common landforms in lowland permafrost regions in the Arctic (50% to 75% of the landscape). However, detailed assessments of DLB distribution and abundance are limited. In this study, we present a novel and scalable remote sensing-based approach to identifying DLBs in lowland permafrost regions, using the North Slope of Alaska as a case study. We validated this first North Slope-wide DLB data product against several previously published sub-regional scale datasets and manually classified points. The study area covered >71,000 km2, including ...


Multiscale Modeling Of Epoxy-Based Nanocomposites Reinforced With Functionalized And Non-Functionalized Graphene Nanoplatelets, Hashim Al Mahmud, Matthew Radue, Sorayot Chinkanjanarot, Gregory M. Odegard Jun 2021

Multiscale Modeling Of Epoxy-Based Nanocomposites Reinforced With Functionalized And Non-Functionalized Graphene Nanoplatelets, Hashim Al Mahmud, Matthew Radue, Sorayot Chinkanjanarot, Gregory M. Odegard

Michigan Tech Publications

The impact on the mechanical properties of an epoxy resin reinforced with pristine graphene nanoplatelets (GNP), highly concentrated graphene oxide (GO), and functionalized graphene oxide (FGO) has been investigated in this study. Molecular dynamics (MD) using a reactive force field (ReaxFF) has been employed in predicting the effective mechanical properties of the interphase region of the three nanocomposite materials at the nanoscale level. A systematic computational approach to simulate the reinforcing nanoplatelets and probe their influence on the mechanical properties of the epoxy matrix is established. The modeling results indicate a significant degradation of the in-plane elastic Young’s (decreased ...


Characterizing Soil Stiffness Using Thermal Remote Sensing And Machine Learning, Jordan Ewing, T. Oommen, Paramsothy Jayakumar, Russell Alger Jun 2021

Characterizing Soil Stiffness Using Thermal Remote Sensing And Machine Learning, Jordan Ewing, T. Oommen, Paramsothy Jayakumar, Russell Alger

Michigan Tech Publications

Soil strength characterization is essential for any problem that deals with geomechanics, including terramechanics/terrain mobility. Presently, the primary method of collecting soil strength parameters through in situ measurements but sending a team of people out to a site to collect data this has significant cost implications and accessing the location with the necessary equipment can be difficult. Remote sensing provides an alternate approach to in situ measurements. In this lab study, we compare the use of Apparent Thermal Inertia (ATI) against a GeoGauge for the direct testing of soil stiffness. ATI correlates with stiffness, so it allows one to ...


Potentials Of Airborne Hyperspectral Aviris-Ng Data In The Exploration Of Base Metal Deposit—A Study In The Parts Of Bhilwara, Rajasthan, Arindam Guha, Uday Kumar Ghosh, Joyasree Sinha, Amin Beiranvand Pour, Ratnakar Bhaisal, Snehamoy Chatterjee, Nikhil Kumar Baranval, Nisha Rani, K. Vinod Kumar, Pamaraju V.N. Rao May 2021

Potentials Of Airborne Hyperspectral Aviris-Ng Data In The Exploration Of Base Metal Deposit—A Study In The Parts Of Bhilwara, Rajasthan, Arindam Guha, Uday Kumar Ghosh, Joyasree Sinha, Amin Beiranvand Pour, Ratnakar Bhaisal, Snehamoy Chatterjee, Nikhil Kumar Baranval, Nisha Rani, K. Vinod Kumar, Pamaraju V.N. Rao

Michigan Tech Publications

In this study, we have processed the spectral bands of airborne hyperspectral data of Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data for delineating the surface signatures associated with the base metal mineralization in the Pur-Banera area in the Bhilwara district, Rajasthan, India.The primaryhost rocks of the Cu, Pb, Zn mineralization in the area are Banded Magnetite Quartzite (BMQ), unclassified calcareous silicates, and quartzite. We used ratio images derived from the scale and root mean squares (RMS) error imagesusing the multi-range spectral feature fitting (MRSFF) methodto delineate host rocks from the AVIRIS-NG image. The False Color Composites (FCCs) of ...


Frequency Domain Measurements Of Melt Pool Recoil Force Using Modal Analysis, Tristan Cullom, Cody Lough, Nicholas Altese, Douglas Bristow, Robert Landers, Ben Brown, Troy Hartwig, Andrew Barnard, Jason Blough, Kevin Johnson, Edward Kinzel May 2021

Frequency Domain Measurements Of Melt Pool Recoil Force Using Modal Analysis, Tristan Cullom, Cody Lough, Nicholas Altese, Douglas Bristow, Robert Landers, Ben Brown, Troy Hartwig, Andrew Barnard, Jason Blough, Kevin Johnson, Edward Kinzel

Michigan Tech Publications

Recoil pressure is a critical factor affecting the melt pool dynamics during Laser Powder Bed Fusion (LPBF) processes. Recoil pressure depresses the melt pool. When the recoil pressure is low, thermal conduction and capillary forces may be inadequate to provide proper fusion between layers. However, excessive recoil pressure can produce a keyhole inside the melt pool, which is associated with gas porosity. Direct recoil pressure measurements are challenging because it is localized over an area proportionate to the laser spot size producing a force in the mN range. This paper reports a vibration-based approach to quantify the recoil force exerted ...