Engineering Commons^™

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

Recovery Of Degraded Lithium Ion Cathode Particles, James Kirtley

Undergraduate Research Conference at Missouri S&T

This project focuses on recovering the cathode materials of lithium ion batteries through atomic layer deposition (ALD) thin film coating. In industry, when a cathode material for a lithium ion battery are stored, it reacts with CO2 and moisture in the air creating Li2CO3 and LiOH on the particle surface. The harmful substances on the surfaces have a negative impact on battery performance and battery life. In this study, we found that when Li2Ni0.8Mn0.1Co0.1 (Ni-Rich NMC) is exposed to a high amount of moisture it degrades and the performance is reduced. For example, the discharge capacity of Degraded Ni-Rich NMC …

Co-Designing Ai Tools To Reduce Kidney Discard, Casey Hines

Undergraduate Research Conference at Missouri S&T

Currently, there are about 94,000 people on the kidney transplant waiting list. Less than one-third will receive a new kidney this year. Unfortunately, some kidneys that could have been transplanted into a new recipient, end up being discarded. The largest group of discarded kidneys are ones that are high-risk. At present, an organ procurement organization will send out offers for an available kidney to transplant centers. These offers go out in chronological order following the kidney transplant waiting list. A single high-risk kidney could potentially go through hundreds of offers before being accepted by a transplant center. The longer the …

Credibility And Divination In The Age Of Reason, Jessi Schoolcraft

Undergraduate Research Conference at Missouri S&T

Credibility is vital for comprehending the world around us. This is as true today as it was in the 18th century when Diderot and d'Alembert were producing France's first Encyclopédie. Translating articles from this body of knowledge provides insight into public perceptions of credibility. Designed to collect and share knowledge, the Encyclopédie required extensive collaboration among experts and editors. Article topics ranged from philosophy to the arts to physical science. What made these articles credible? Was it the oversight of well-known editors, the use of already verified sources, or the seal of approval from the State? Or was it a …

Fear To Cooperation: A Brief History Of The Space Race, Dylan Clay

Undergraduate Research Conference at Missouri S&T

In 1957, the United States and the Soviet Union engaged in a space race that, ironically, resulted in joint United States-Soviet Union missions with the 1975 Apollo-Soyuz program. Starting in the 1950s, the Cold War between the two nations led to a feeling of unease from the world populace, especially with uncertainty surrounding the superpowers' capabilities. In the late 1950s, the United States feared that they would lose the race to space because of Sputnik's success, but American efforts led to far greater success with American Astronauts landing on the moon, effectively ending the race to space. With both nations …

Effects Of Sleep Deprivation On Learning In Fruit Flies, Natalie Gardner

Undergraduate Research Conference at Missouri S&T

The fruit fly Drosophila Melanogaster is an optimal research specimen when observing the effects of sleep deprivation on spatial learning. A fly's sleep can be tracked using locomotion while it is undisturbed and while it undergoes sleep deprivation. To measure a fly's visuospatial awareness, a region at a comfortable 24 degrees Celsius, among the rest of the arena yielding an uncomfortable temperature ranging from 36-37 degrees Celsius, is fit with a specific visual cue that the fly is able to identify. This region, along with it's visual cue, is rotated around the arena every 3 minutes, and the amount of …

Twitter Sentiment Analysis Of Major Us Topics, Arpan Das

Undergraduate Research Conference at Missouri S&T

The user base for social media platforms have seen sharp increases in nearly every year since their inception, to the point where it is a part of a daily routine in today’s society. Social media provides a powerful public platform for people to express their opinions and intentions regarding almost any topic. The objective of this study was to determine how the opinions of topics related to United States politics shift over the course of the election cycle and through the inauguration of the next president. These topics included the opinions of major events such as the major presidential candidates …

Realtime Sensor For Detecting Gallium Infiltration Attack, Peter Holtmann

Undergraduate Research Conference at Missouri S&T

The proposed research is to create a real-time sensor for detecting aluminum degradation due to gallium infiltration attacks, specifically in military vehicles and structures. Gallium acts as a poison to aluminum, leading to catastrophic failures of structural integrity. The proliferation of educational material on this subject raises security concerns for the United States Military, where nearly all structures utilize aluminum due to its high-strength, light-weight profile. Utilizing Fiber-Bragg Grating (FBG) sensors and machine learning techniques, this research aims to develop a real-time sensor to detect these attacks.

Behavioral Science Can Increase Zipper Merge Usage, Maria Galbraith

Undergraduate Research Conference at Missouri S&T

Research demonstrates that zipper merges (or late merges), under heavy traffic conditions, are safer and faster than a traditional early merge. In implementation, zipper merges can be less efficient due to a lack of compliance on the part of drivers, often more accustomed to early merging. Behavioral science has been applied to a many transportation-related challenges, such as increasing seat belt usage and decreasing drinking and driving but has not yet been applied to the zipper merge. We have identified six relevant behavioral science strategies including (1) social norms, (2) appeals to reason, (3) emotional appeals, (4) humor, (5) memory …

Thermal Modeling Of Li-Ion Batteries Using Sp+3d Model, Derrick Barger

Undergraduate Research Conference at Missouri S&T

An ideal battery model must gather sufficient electrochemical data about the system while remaining being computationally efficient. To prevent failure from thermal runaway, understanding the thermal characteristics of a battery is essential.

To achieve this, we have developed a single particle (SP) model, a simplified but accurate approach to battery modeling, and compared this to a previously designed 3D model. After validating the battery electrochemistry, equations were introduced to calculate the heat generation with a coupled 3D heat transfer component to provide data on the cell temperature. This same model was used to simulate a multi-cell pack.

The results indicate …