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2022 Technical Program, Inspire - University Transportation Center

INSPIRE-UTC Annual Meetings

INSPIRE University Transportation Center 2022 Annual Meeting
August 1-2, 2022

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

Pooled-Fund Project No. Tpf-5(395), Genda Chen

INSPIRE-UTC Annual Meetings

The goals of the pooled-fund initiative are to engage closely with several state Departments of Transportation (DOTs) in the early stage of technology development at the INSPIRE University Transportation Center, and leverage the center resources to develop case studies, protocols, and guidelines that can be adopted by state DOTs for bridge inspection without adversely impacting traffic. The initiative involves the integration, field demonstration and documentation of a robotic system of structural crawlers, unmanned aerial vehicles, a multimodal unmanned vehicle, nondestructive devices, sensors, and data analytics. Depending on the interest of participating DOTs, the objectives of this initiative include, but are …

Vision-Based Non-Gps Uav Guidance For Bridge Inspection, Bo Shang

INSPIRE-UTC Annual Meetings

No abstract provided.

Uav-Based Smart Rock Localization For Determination Of Bridge Scour Depth, Haibin Zhang

INSPIRE-UTC Annual Meetings

First Place Award in recognition of outstanding achievement in the 2020 Annual Meeting Graduate Student Poster Competition sponsored by INSPIRE University Transportation Center

Bridge Inspection Video Data Analysis For Data-Driven Asset Management, Muhammad Monjurul Karim

INSPIRE-UTC Annual Meetings

Second Place Award in recognition of outstanding achievement in the 2020 Annual Meeting Graduate Student Poster Competition sponsored by INSPIRE University Transportation Center

Automatic Impact-Sounding Acoustic Inspection Of Concrete Structure, Jinglun Feng

INSPIRE-UTC Annual Meetings

No abstract provided.

Experimental Investigation Of A Novel Smart Shear Key For Earthquake And Tsunami Mitigation, Xinzhe Yuan

INSPIRE-UTC Annual Meetings

No abstract provided.

Autonomous Ultrasonic Thickness Measurement Of Steel Bridge Members Using Mobile Sensors, Yu Otsuki

INSPIRE-UTC Annual Meetings

Third Place Award in recognition of outstanding achievement in the 2020 Annual Meeting Graduate Student Poster Competition sponsored by INSPIRE University Transportation Center

Data-Driven Risk Assessment Of Bridges Subject To Corrosion And Scour, Yijian Zhang

INSPIRE-UTC Annual Meetings

No abstract provided.

Clamping Design For Bridge Inspection Robot Deployment Systems (Birds) Prototype Ii, Bo Shang

INSPIRE-UTC Annual Meetings

No abstract provided.

Bridge Resilience Assessment With Inspire Data, Iris Tien

INSPIRE-UTC Annual Meetings

Robotic data collection, both automated and remote, will enable post-disaster assessment of bridge components where it would normally be difficult and potentially dangerous for manual inspection by field workers to do so.

This project aims to develop and validate a new framework that uses the data collected from the robotic exploration of infrastructure, particularly after a disaster, to assess the condition of bridges and prioritize these structures for repair. This will improve the resilience of the transportation system to disasters by targeting bridge repairs and enabling resources to be distributed more effectively across the system for more rapid recovery after …

Bridge Inspection Robot Deployment Systems (Birds), Bo Shang

INSPIRE-UTC Annual Meetings

Climbing robots for both concrete and steel bridges and UAVs are being developed to support bridge inspection with advanced evaluation technologies at the INSPIRE University Transportation Center. They are mostly applicable to large open areas with little or no obstacles. For I-shaped beams or girders, climbing along the cross section of these structural members is not a trial task. In particular, a climbing robot may not have a sufficient footprint to make a safe turn from the inner to outer face of a top or bottom flange. In this case, an unmanned vehicle is conceived to facilitate I-girder inspection and …

Mobile-Manipulating Uavs For Sensor Installation, Bridge Inspection And Maintenance, Paul Oh

INSPIRE-UTC Annual Meetings

Mobile manipulating UAVs have great potential for bridge inspection and maintenance. Since 2002, the PI has developed UAVs that could fly through in-and-around buildings and tunnels. Collision avoidance in such cluttered near-Earth environments has been a key challenge. The advent of light-weight, computationally powerful cameras led to breakthroughs in SLAM even though SLAM-based autonomous aerial navigation around bridges remains an unsolved problem.

In 2007, the PI integrated a mobile manipulation function into UAVs, greatly extending the capabilities of UAVs from passive survey of environments with cameras to active interaction with environments using limbs. Mobile-manipulating UAVs have since been demonstrated to …

Climbing Robots With Automated Deployment Of Sensors And Nde Devices For Steel Bridge Inspection, Hung La

INSPIRE-UTC Annual Meetings

The PI was a research scientist/faculty at Rutgers University who successfully developed in 2014 a Robotic Assisted Bridge Inspection Tool (RABIT) for bridge deck inspections. Other bridge elements, such as girders and columns, or even underside of bridge decks are difficult to access and remain a challenge for efficient inspection. Like visual inspection, current practices for bridge maintenance are equally time consuming and expensive. Automation of simple maintenance actions such as bearing cleaning and concrete sealing with robots will lead to a leap forward to the next-generation strategy of bridge maintenance.

This project aims to develop and prototype automated climbing …

Autonomous Wall-Climbing Robots For Inspection And Maintenance Of Concrete Bridges, Jizhong Xiao

INSPIRE-UTC Annual Meetings

Since 2002, the PI’s group has developed four generations of wall-climbing robots for NDE inspection of civil infrastructure. These robots combine the advantages of aerodynamic attraction and suction to achieve a desirable balance of strong adhesion and high mobility. They don’t require perfect sealing and can thus move on smooth and rough surfaces, such as brick, concrete, stucco, wood, glass, and metal. For example, Rise-Rover uses two drive modules to carry their middle compartment with payload up to 450 N. Ground penetrating radar (GPR)-Rover and Mini GPR-Rover are custom designed to carry a GSSI’s GPR antenna for subsurface defect detection …