Engineering Commons^™

Comparative Evaluation Of Two Glass Polyalkenoate Cements: An In Vivo Pilot Study Using A Sheep Model, Leyla Hasandoost, Daniella Marx, Paul Zalzal, Oleg Safir, Mark Hurtig, Cina Mehrvar, Stephen D. Waldman, Marcello Papini, Mark R. Towler

Chemical and Biochemical Engineering Faculty Research & Creative Works

Poly(methyl methacrylate) (PMMA) is used to manage bone loss in revision total knee arthroplasty (rTKA). However, the application of PMMA has been associated with complications such as volumetric shrinkage, necrosis, wear debris, and loosening. Glass polyalkenoate cements (GPCs) have potential bone cementation applications. Unlike PMMA, GPC does not undergo volumetric shrinkage, adheres chemically to bone, and does not undergo an exothermic setting reaction. In this study, two different compositions of GPCs (GPCA and GPCB), based on the patented glass system SiO₂-CaO-SrO-P₂O₅-Ta₂O₅, were investigated. Working and setting times, pH, ion release, …

Stabilization Of Energy Level Sets Of Underactuated Mechanical Systems Exploiting Impulsive Braking, Nilay Kant, Ranjan Mukherjee, Hassan Khalil

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Recent investigations of underactuated systems have demonstrated the benefits of control inputs that are impulsive in nature. Here we consider the problem of stabilization of energy level sets of underactuated systems exploiting impulsive braking. We consider systems with one passive degree-of-freedom (DOF) and the energy level set is a manifold where the active coordinates are fixed and the mechanical energy equals some desired value. A control strategy comprised of continuous inputs and intermittent impulsive braking inputs is presented. The generality of the approach is shown through simulation of a three-DOF Tiptoebot; the feasibility of implementation of impulsive control using standard …

Coalescence Characteristics Of Bulk Nanobubbles In Water: A Molecular Dynamics Study Coupled With Theoretical Analysis, Eric Bird, Eric Smith, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The Coalescence of Two Nanobubbles (NBs) in Water is a Process of Great Importance to Many Industrial Applications. in This Work, We Study the Coalescence of Two Equal-Sized Nitrogen NBs in Water using Molecular Dynamics (MD) Simulations and Continuum-Based Theoretical Analysis. We Vary the NB Diameter from 30 to 50 Nm and Study the Coalescence Characteristics Including the Expansion Speed of the Capillary Bridge between Two Coalescing NBs, the Dynamic Regime of NB Coalescence, the Diameter of Fully Merged NBs, and the Temperature Variation of NBs during the Coalescence Process. for All Cases, We Show the MD Simulation Results Can …

Comparative Study Of Hermitian And Non-Hermitian Topological Dielectric Photonic Crystals, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Shuang Zhang, Ran Zhao, Zhihao Lan, Wei E.I. Sha

Electrical and Computer Engineering Faculty Research & Creative Works

The effects of gain and loss on the band structures of a bulk topological dielectric photonic crystal (PC) with C6v symmetry and the PC-air-PC interface are studied based on first-principal calculation. To illustrate the importance of parity-time (PT) symmetry, three systems are considered, namely the PT-symmetric, PT-asymmetric, and lossy systems. We find that the system with gain and loss distributed in a PT symmetric manner exhibits a phase transition from a PT exact phase to a PT broken phase as the strength of the gain and loss increases, while for the PT-asymmetric and lossy systems, no such phase transition occurs. …

Physical-Based Training Data Collection Approach For Data-Driven Lithium-Ion Battery State-Of-Charge Prediction, Jie Li, Will Ziehm, Jonathan W. Kimball, Robert Landers, Jonghyun Park

Electrical and Computer Engineering Faculty Research & Creative Works

Data-Driven approaches for State of Charge (SOC) prediction have been developed considerably in recent years. However, determining the appropriate training dataset is still a challenge for model development and validation due to the considerably varieties of lithium-ion batteries in terms of material, types of battery cells, and operation conditions. This work focuses on optimization of the training data set by using simple measurable data sets, which is important for the accuracy of predictions, reduction of training time, and application to online estimation. It is found that a randomly generated data set can be effectively used for the training data set, …

Impact Behavior Of Laminated Composites Built With Fique Fibers And Epoxy Resin: A Mechanical Analysis Using Impact And Flexural Behavior, Julian Rua, Mario F. Buchely, Sergio Neves Monteiro, Gloria I. Echeverri, Henry A. Colorado

Materials Science and Engineering Faculty Research & Creative Works

This research analyzes the behavior of natural fiber reinforced laminated polymer composites (NFRPC) under mechanical solicitations. Samples were fabricated with epoxy resin matrix reinforced with a multilayer natural fique fiber in a bi-directional commercial fabric configuration. Different reinforcement contents without additives were prepared taking in the account the simplicity in processing, fabrication cost, and applications in which this material might be used with high performance standards. Charpy notched impact and 3-point bending test were carried out to evaluate the mechanical behavior and the work of fracture, which was improved significatively with the fibers, showing an increase from 5 to 30 …

Resistive Switching Properties Of Zro2 Film By Plasma-Enhanced Atomic Layer Deposition For Non-Volatile Memory Applications, Aleksey A. Sivkov, Yuan Xing, Zoe Minden, Zhigang Xiao, Kuan Yew Cheong, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Resistive switching properties of nanoscale zirconium dioxide (ZrO₂) thin film deposited by plasma-enhanced atomic layer deposition (PE-ALD) have been investigated. A resistive memory device has been formed with a 10-nm-thick ZrO₂ film as an active switching layer sandwiched between an aluminum top electrode and a silver bottom electrode. Bipolar resistive switching characteristics were demonstrated by current–voltage measurements with a read memory window of 6.6 V, an ON/OFF current ratio of nearly 10⁵ , and a retention time of 10⁴ s. Current conduction at low resistance states follows Ohm's law while at a high-resistance state governed …

Effect Of Shock Vector/Polarization Vector Configuration On The Generation Of Ultrahigh Voltage By Adiabatically Compressed Ferroelectric Materials, Sergey I. Shkuratov, Jason Baird, Vladimir G. Antipov

Mining Engineering Faculty Research & Creative Works

Compact autonomous megawatt-power systems based on shock depolarization of ferroelectric materials are capable of producing kiloampere currents and ultrahigh-voltage pulses with amplitudes exceeding 100kV. Herein, we report the results of experimental investigations of the generation of ultrahigh voltage by poled Pb0.99(Zr0.95Ti0.05)0.98Nb0.02O3 and Pb0.99(Zr0.52Ti0.48)0.98Nb0.01O3 ferroelectrics subjected to shock loading at different shock vector/polarization vector configurations. Our experiments demonstrated that under loading perpendicular to the polarization vector (transverse stress mode) the ferroelectrics are capable of generating high voltages exceeding 400kV, while the loading parallel to the polarization vector (longitudinal stress mode) causes a distortion of the depolarization process in ferroelectrics of large …

Exploring The Deformation Mechanics Of Coal Ribs Using The Distinct Element Modeling Approach, Maurice Sunkpal, Taghi Sherizadeh

Mining Engineering Faculty Research & Creative Works

Understanding coal rib geomechanics is essential for improving rib stability and eliminating fatality and injury trends due to rib failures. There are presently no standardized rib control practices available in most countries. In light of this observed dearth, this investigation aims to improve understanding of rib failure mechanisms using the distinct element modeling (DEM) technique. DEM is chosen because of its superior advantage to explicitly represent discontinuities and their constitutive behaviors, besides that of the intact rock matrix. To analyze the rib stability, a numerical monitoring protocol is implemented to monitor the deformation characteristics of the coal rock mass as …

Evaluation Of Guayule Resin As An Innovative Bio-Based Asphalt Alternative In Mix Performance -- Preprint, Ahmed Hemida, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Literature revealed the potential of using guayule resin for asphalt cement replacement from the binder’s perspective. However, monitoring guayule resin through binder-aggregate mixture could disclose its performance through field. In this study, designated binders were employed to investigate the applicability of such an innovative replacer through mixture, which were neat asphalt and guayule-based binders (neat guayule, asphalt-rubber-guayule, guayule-rubber binders). Consecutively, field-simulated lab mixtures were prepared to investigate the major distresses. Moisture damage, rutting, fatigue cracking, and thermal cracking resistances were investigated using the modified Lottman (TSR) test, rut test by asphalt pavement analyzer (APA), semi-circular bending (SCB) test, and disk-shaped …

Novel Method Of Manufacture Of Metal Nanoparticles And Metal Single-Atom Materials On Various Substrates And Novel Compositions, Xinhua Liang, Xiaofeng Wang

Chemical and Biochemical Engineering Faculty Research & Creative Works

The present invention discloses a novel method and novel compositions comprising well-dispersed particulate metal materials, including metal nanoparticles and/or metal single-atom materials, on various substrates, said method comprising the use of atomic layer deposition (ALD) and optimization of the metal precursor dose time and the number of ALD cycles. Illustrative of the metals are Fe, Ni, Co, Ru, Rh, Ir, Os, Pt, Pd, and the like; and illustrative of the various substrates are carbon nanotubes (CNTs) (including multi-walled carbon nanotubes (MWCNTs), SiO₂, TiO₂, alumina, CeO₂, ZnO, ZrO₂, activated carbon, CuO, Fe_{2 …}

Rapid Measurement Of Rh-Dependent Aerosol Hygroscopic Growth Using A Humidity-Controlled Fast Integrated Mobility Spectrometer (Hfims), Jiaoshi Zhang, Steven Spielman, Yang Wang, Guangjie Zheng, Xianda Gong, Susanne Hering, For Full List Of Authors, See Publisher's Website.

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The ability of aerosol particles to uptake water (hygroscopic growth) is an important determinant of aerosol optical properties and radiative effects. Aerosol hygroscopic growth is traditionally measured by humidified tandem differential mobility analyzers (HTDMA), in which size-selected dry particles are exposed to elevated relative humidity (RH), and the size distribution of humidified particles is subsequently measured using a scanning mobility particle sizer. As a scanning mobility particle sizer can measure only one particle size at a time, HTDMA measurements are time consuming, and ambient measurements are often limited to a single RH level. Pinterich et al. (2017b) showed that fast …

Poster Awards Ceremony, Hongyan Ma

INSPIRE-UTC Annual Meetings

• 1st Place: Dongbin Kim, Missouri S&T, A Human-Embodied Drone for Dexterous Aerial Manipulation
• 2nd Place: Yu Otsuki, Georgia Tech, Autonomous ultrasonic thickness measurement using Martlet wireless sensing system integrated with a steel climbing mobile robot
• 3rd Place: Pu Jiao, Missouri S&T, INSPIRE UTC Bridge Inspection Field Campaign Update, 2021

Closing Remarks And Winners Announced, Hongyan Ma

INSPIRE-UTC Annual Meetings

Closing Remarks and Winners Announced by INSPIRE UTC Graduate Student Poster Session Chair Dr. Hongyan Ma, Assistant Professor, Civil, Architectural & Environmental Engineering, Missouri S&T

Improving 3d Metric Gpr Imaging Using Robotic Data Collection And Dnn Based Processing, Jinglun Feng

INSPIRE-UTC Annual Meetings

GPR is one of the most important NDE devices to detect subsurface objects and reconstruct the underground scene. There are two challenges for GPR- based inspection, which are GPR data collection and subsurface object imaging. To address these challenges, we propose a robotic solution that automates the GPR data collection process with a free motion pattern. It facilitates the 3D metric GPR imaging by tagging the pose information with GPR measurement in real-time. We also introduce a DNN based GPR data analysis method which includes a noise removal segmentation module to clear the noise in GPR raw data and a …

Encoding Time-Series Ground Motions As Images For Convolutional Neural Networks-Based Seismic Damage Evaluation, Xinzhe Yuan

INSPIRE-UTC Annual Meetings

Earthquake records can be encoded as images to classify their resulting damage states to structures based on convolutional neural networks (CNNs). Different encoding techniques such as Recurrence Plot (RP) and Wavelet Transform (WT) can be used to transfer earthquake records to images. Presently, no consensus has been reached on the understanding of the most suitable encoding technique for CNN-based seismic damage classification. In this study, we develop a new encoding technique based on Time-series Segmentation (TS) and compare it to state-of-the-art RP and WT techniques. These techniques are mainly compared based on their classification accuracy and computation efficiency.

Reveal Underground Defects Through Impact Sounding (Is) And Impact Echo (Ie), Ejup Hoxha

INSPIRE-UTC Annual Meetings

Impact Echo (IE) and Impact Sounding (IS) are well-developed non-destructive evaluation (NDE) methods that are widely used for inspection of concrete structures to ensure safety and sustainability. However, it is a tedious work to collect IE and IS data along grid lines covering large target area for characterization of subsurface defects. On the other hand, data processing is very complicated and requires domain experts to interpret the results. To address the above problems, we present a robotic inspection system, to automate the data collection process and introduce data analytics software to visualize the inspection results allowing non-professionals to easily understand …

Autonomous Ultrasonic Thickness Measurement Using Martlet Wireless Sensing System Integrated With A Steel Climbing Mobile Robot, Yu Otsuki

INSPIRE-UTC Annual Meetings

The objective of this research is to develop an autonomous ultrasonic thickness measurement system for steel bridge members through the integration of wireless sensing and robotics. The ultrasonic thickness measurement is achieved using a transducer that requires access to only one side of a steel bridge member. Building upon the Martlet wireless sensing platform, this project first develops pulser and ultrasonic daughter boards to generate a pulse excitation and to filter and amplify the received ultrasonic signal. The developed Martlet wireless ultrasonic device is next integrated with a steel climbing mobile robot developed by University of Nevada, Reno (UNR). The …

Drone Vision-Based Clamping Strategy For Bridge Inspection, Bo Shang

INSPIRE-UTC Annual Meetings

Most bridges in the United States are near their designed lifetime. So, policy needs bridges to be inspected every two years. Currently, most of those inspections are done by human which needs to block the traffic and can cause injury. MST INSPIRE-UTC’s project Bridge Inspection Robot Deployment Systems (BIRDS) tries to develop a flying and climbing platform that has the following benefit:

• Capturing high quality data for inspection without vibration;
• Free of blocking traffic;
• Operator and inspector are safe.

Gas Leakage Detection With Hyperspectral Imagery-Based Vegetation Stress Indices, Pengfei Ma

INSPIRE-UTC Annual Meetings

The objective of this research is to provide a basis for gas leakage detection with hyperspectral cameras. The gas leakage attacks vegetations, which yields some spectral signature changes. As the vegetation under different stressors may induce similar effect. The spectral signature changes can be similar. A lab test was arranged to test three kinds of plants under four common natural stressors with a reference. All plants are routinely scanned with hyperspectral cameras every three days to obtain every developmental stage. Linear discriminant analysis (LDR) was applied in the data analysis to discriminate the plant with gas leakage treatment from the …

A Human-Embodied Drone For Dexterous Aerial Manipulation, Dongbin Kim

INSPIRE-UTC Annual Meetings

Current drones passively surveil. Drones equipped with robotic arms shift this paradigm: the drone is actively interacting with the environment rather than simply sensing it. This would be needed to robotically enhance bridge-related work, called dexterous aerial manipulation: drones could hose decks; drilling on surfaces; and epoxy cracks. Such research is important to advancing bridge maintenance and repair.

Recently, the worker’s experience was integrated in aerial manipulation using haptic technology. The net effect is such system could enable the worker to leverage drones to collaborative perform haptic assessments of the objects and complete tasks on the bridge remotely. However, the …

Probability Of Detection In Corrosion Monitoring With Fe-C Coated Lpfg Sensors, Ying Zhuo

INSPIRE-UTC Annual Meetings

This project aims to develop two statistical methods for determining the probability of detection in corrosion monitoring using long period fiber gratings (LPFG) sensors with thin Fe-C coating, validate these methods from independent laboratory tests, and determine the steel mass loss at 90% probability of detection and the largest steel mass loss that may miss from a corrosion inspection at 95% upper confidence bounds. LPFG sensors could reflect the corrosion process by the wavelength shift in the transmission spectrum due to the change of the refractive index of the Fe-C coating. POD is a method used to determine the capability …

Smart Sounding System For Autonomous Evaluation Of Concrete Structures, Deepak Kumar

INSPIRE-UTC Annual Meetings

Impact sounding has been used successfully to detect defects in concrete structures. Recent research has shown that the sounding, such as chirp signal, can be generated by electronic speakers, and can be designed with controlled frequency characteristics to excite defects in concrete decks. The bottom of a deck cannot be conventionally sounded, and precise location of the damaged area is a challenge. The focus of this research is on development of a “Smart Sounding System” that can be used to inspect the underdeck and pier surfaces effectively and autonomously.

Inspire Utc Bridge Inspection Field Campaign Update, 2021, Pu Jiao

INSPIRE-UTC Annual Meetings

Bridge inspection activities using robotic sensing system are surging in the recent years due to the increasing demand of infrastructure maintenance and development of commercial drones and open-source robotic platforms. On the other hand, the data acquired through bridge inspection is also booming, which stimulated the application of machine learning in infrastructure.

At INSPIRE UTC of Missouri University of Science and Technology, bridge inspection equipment’s are being developed and tested for comprehensive data collection using multiple sensing technologies. This paper presents and evaluates the drone-carried sensors’ abilities and applications after 3 bridge inspections in Missouri in 2021 and sketches the …

Multi-Directional Bicycle Robot For Steel Bridge Inspection, Son Thanh Nguyen

INSPIRE-UTC Annual Meetings

In contrast to the current climbing robots, this research presents a new design and implementation of a roller chain-based climbing robot to provide a practical solution for steel structure inspection (bridges, poles, pipes, etc.)

The proposed roller chain-like robot has 12 joints for moving and 3 pairs of joints for turning, which makes the robot very flexible. This setup allows the robot to traverse areas of complex geometry on steel bridges. The robot utilizes permanent magnets to be able to well adhere on steel structures while moving.

Inspire Utc Bridge Inspection Field Campaign Update, 2021, Pu Jiao

INSPIRE-UTC Annual Meetings

Bridge inspection activities using robotic sensing system are surging in the recent years due to the increasing demand of infrastructure maintenance and development of commercial drones and open-source robotic platforms. On the other hand, the data acquired through bridge inspection is also booming, which stimulated the application of machine learning in infrastructure.

At INSPIRE UTC of Missouri University of Science and Technology, bridge inspection equipment’s are being developed and tested for comprehensive data collection using multiple sensing technologies. This paper presents and evaluates the drone-carried sensors’ abilities and applications after 3 bridge inspections in Missouri in 2021 and sketches the …

2021 Technical Program, Inspire - University Transportation Center

INSPIRE-UTC Annual Meetings

INSPIRE University Transportation Center 2020 Annual Meeting
August 10-11, 2021

Evaluating Mine Design Alternatives For Social Risks Using Discrete Choice Analysis, Kwame Awuah-Offei, Sisi Que, Atta Ur Rehman

Mining Engineering Faculty Research & Creative Works

As with other engineering design tasks, mine design involves setting design objectives and constraints (the feasible solution space) and finding the optimal design alternative. Mine engineers often struggle to incorporate the preferences of local community members into their evaluation of mine design alternatives because the mining literature lacks tools to quantify such risks during mine planning. This paper presents an approach to evaluate community acceptance (i.e., community preferences for the alternatives) using discrete choice models and decision-based design during mine planning. Using discrete choice models and a rigorous framework, engineers can estimate the cost of social risks as a function …

Findings Report: Virtual Workshop On ‘Resilient Supply Of Critical Minerals’, Marek Locmelis, Angela D. Lueking, Michael S. Moats, Kwame Awuah-Offei, Lana Z. Alagha, Mark W. Fitch, Alanna Krolikowski, Shelby Clark

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Executive Summary
On August 2-3, 2021, the Thomas J. O’Keefe Institute for Sustainable Supply of Strategic Minerals at Missouri University of Science and Technology (Missouri S&T) hosted the NSF-funded virtual workshop ‘Resilient Supply of Critical Minerals’. The workshop was convened via Zoom and attracted 158 registrants, including 108 registrants from academia (61 students), 30 registrants from government agencies, and 20 registrants from the private sector. Four topical sessions were covered:

A. Mineral Exploration and Source Diversification.
B. Supply Chain and Policy Issues.
C. Improving Mineral Recycling and Reprocessing Technologies.
D. Technological Alternatives to Critical Minerals.

Each topical session was composed …

Mrda-Mgfsnet: Network Based On A Multi-Rate Dilated Attention Mechanism And Multi-Granularity Feature Sharer For Image-Based Butterflies Fine-Grained Classification, Maopeng Li, Guoxiong Zhou, Weiwei Cai, Jiayong Li, Mingxuan Li, Mingfang He, Yahui Hu, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Aiming at solving the problems of high background complexity of some butterfly images and the difficulty in identifying them caused by their small inter-class variance, we propose a new fine-grained butterfly classification architecture, called Network based on Multi-rate Dilated Attention Mechanism and Multi-granularity Feature Sharer (MRDA-MGFSNet). First, in this network, in order to effectively identify similar patterns between butterflies and suppress the information that is similar to the butterfly's features in the background but is invalid, a Multi-rate Dilated Attention Mechanism (MRDA) with a symmetrical structure which assigns different weights to channel and spatial features is designed. Second, fusing the …