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Missouri University of Science and Technology

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Articles 91 - 120 of 2023

Full-Text Articles in Structural Engineering

Equitable Infrastructure: Achieving Resilient Systems And Restorative Justice Through Policy And Research Innovation, Jason P. Giovannettone, Gregg P. Macey, Amir Aghakouchak, Michele Barbato, William J. Capehart, Auroop R. Ganguly, Mital Hall, Jennifer F. Helgeson, Si Han Li, Teng Wu, Guirong Yan, Farshid Vahedifard May 2024

Equitable Infrastructure: Achieving Resilient Systems And Restorative Justice Through Policy And Research Innovation, Jason P. Giovannettone, Gregg P. Macey, Amir Aghakouchak, Michele Barbato, William J. Capehart, Auroop R. Ganguly, Mital Hall, Jennifer F. Helgeson, Si Han Li, Teng Wu, Guirong Yan, Farshid Vahedifard

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Recent major investments in infrastructure in the United States and globally present a crucial opportunity to embed equity within the heart of resilient infrastructure decision-making. Yet there is a notable absence of frameworks within the engineering and scientific fields for integrating equity into planning, design, and maintenance of infrastructure. Additionally, whole-of-government approaches to infrastructure, including the Justice40 Initiative, mimic elements of process management that support exploitative rather than exploratory innovation. These and other policies risk creating innovation traps that limit analytical and engineering advances necessary to prioritize equity in decision-making, identification and disruption of mechanisms that cause or contribute to …


Semi-Annual Progress Report #14, Missouri University Of Science And Technology Apr 2024

Semi-Annual Progress Report #14, Missouri University Of Science And Technology

Semi-Annual Progress Reports

No abstract provided.


Ensemble-Learning Model Based Ultimate Moment Prediction Of Reinforced Concrete Members Strengthened By Uhpc, Woubishet Zewdu Taffese, Yanping Zhu, Genda Chen Apr 2024

Ensemble-Learning Model Based Ultimate Moment Prediction Of Reinforced Concrete Members Strengthened By Uhpc, Woubishet Zewdu Taffese, Yanping Zhu, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Data-driven model development brings new approaches to solve conventional civil engineering problems, which are usually considered and answered by experimental, analytical, and numerical methods. This study aims to develop an ensemble learning model (i.e., XGBoost: eXtreme Gradient Boosting) to predict ultimate moment of reinforced concrete (RC) members strengthened by a newly developed concrete technology – ultrahigh performance concrete (UHPC). The study considered two scenarios, incorporating eighteen and seventeen features, with one feature modification involving the transformation of width and height to the cross-sectional area of RC members. Incorporating three substrate damage levels, two substrate surface treatments preceding UHPC strengthening, and …


Utilizing Ensemble Learning In The Classifications Of Ductile And Brittle Failure Modes Of Uhpc Strengthened Rc Members, Woubishet Zewdu Taffese, Yanping Zhu, Genda Chen Apr 2024

Utilizing Ensemble Learning In The Classifications Of Ductile And Brittle Failure Modes Of Uhpc Strengthened Rc Members, Woubishet Zewdu Taffese, Yanping Zhu, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study aims to achieve the swift and precise classification of ductile and brittle failure modes in flexural reinforced concrete (RC) members, specifically those with tension sides strengthened by ultrahigh performance concrete (UHPC). Employing six ensemble learning techniques—Bagging, Random Forest, AdaBoost, Gradient Boosting, XGBoost, and LightGBM—the authors utilize a comprehensive dataset comprising 14 features, which include manually labeled failure modes obtain from load–deflection curves. The model training spans four scenarios, varying in the inclusion or exclusion of features describing the cross-sectional area of RC members and moment resistance. XGBoost emerges as the most effective classifier, achieving an impressive 84% accuracy …


Multifunctional Models In Digital And Physical Twinning Of The Built Environment—A University Campus Case Study, Genda Chen, Ibrahim Alomari, Woubishet Zewdu Taffese, Zhenhua Shi, Mohammad Hossein Afsharmovahed, Tarutal Ghosh Mondal, Son Nguyen Apr 2024

Multifunctional Models In Digital And Physical Twinning Of The Built Environment—A University Campus Case Study, Genda Chen, Ibrahim Alomari, Woubishet Zewdu Taffese, Zhenhua Shi, Mohammad Hossein Afsharmovahed, Tarutal Ghosh Mondal, Son Nguyen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The Digital Twin (DT) Concept Has Been Developed for a Single Function in Previous Studies. This Study Aims to Empower DTs with a Layered Integration of Multifunctional Models in the Built Environment. It Develops a Framework of DT Modules in Three Hierarchical Tiers: Region, Asset, and System; Defines a New Concept of the Degree of Digital Twinning (DODT) to the Real World by the Number of Models Enabled by a Common DT Platform; and Enables Spatiotemporal Analysis in Multiple Scales to Couple Nonstructural with Structural Building Components and Connect the Built Environment to Planning Constructions. While the Asset and System …


Natural Gas Induced Vegetation Stress Identification And Discrimination From Hyperspectral Imaging For Pipeline Leakage Detection, Pengfei Ma, Ying Zhuo, Genda Chen, Joel G. Burken Mar 2024

Natural Gas Induced Vegetation Stress Identification And Discrimination From Hyperspectral Imaging For Pipeline Leakage Detection, Pengfei Ma, Ying Zhuo, Genda Chen, Joel G. Burken

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Remote Sensing Detection of Natural Gas Leaks Remains Challenging When using Ground Vegetation Stress to Detect Underground Pipeline Leaks. Other Natural Stressors May Co-Present and Complicate Gas Leak Detection. This Study Explores the Feasibility of Identifying and Distinguishing Gas-Induced Stress from Other Natural Stresses by Analyzing the Hyperspectral Reflectance of Vegetation. the Effectiveness of This Discrimination is Assessed Across Three Distinct Spectral Ranges (VNIR, SWIR, and Full Spectra). Greenhouse Experiments Subjected Three Plant Species to Controlled Environmental Stressors, Including Gas Leakage, Salinity Impact, Heavy-Metal Contamination, and Drought Exposure. Spectral Curves Obtained from the Experiments Underwent Preprocessing Techniques Such as Standard …


Characterization Of Alkali-Silica Reaction (Asr) Products And C-S-H Using Swir Spectroscopy For Nondestructive Detection Of Asr, Pengfei Ma, Wenyu Liao, Ying Zhuo, Hongyan Ma, Yanping Zhu, Genda Chen Feb 2024

Characterization Of Alkali-Silica Reaction (Asr) Products And C-S-H Using Swir Spectroscopy For Nondestructive Detection Of Asr, Pengfei Ma, Wenyu Liao, Ying Zhuo, Hongyan Ma, Yanping Zhu, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study explores the feasibility of characterizing alkali-silica reaction (ASR) products and calcium silicate hydrates (C-S-H) from short-wave infrared (SWIR) spectroscopy. ASR products and C-S-H samples with different Ca/Si ratios were synthesized and analyzed through XRD, 29Si nuclei magnetic resonance (NMR) and SWIR spectroscopy. Fourier-transform infrared spectroscopy (FTIR) was collected to help interpret the results from the SWIR spectroscopy. The obtained spectroscopic features were applied to quantify the ASR product abundance denoted by the length expansion of mortar bars after an accelerated ASR test. The results show that the SWIR spectra of the synthetic ASR gels are similar regardless of …


Inspire Newsletter Spring 2024, Missouri University Of Science And Technology Inspire - University Transportation Center Jan 2024

Inspire Newsletter Spring 2024, Missouri University Of Science And Technology Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.


Evaluating Friction Characteristics Of High Friction Surface Treatment Application Under Varied Polishing And Slippery Conditions, Alireza Roshan, Magdy Abdelrahman Jan 2024

Evaluating Friction Characteristics Of High Friction Surface Treatment Application Under Varied Polishing And Slippery Conditions, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The frictional attributes of high friction surface treatment (HFST) play a crucial role in ensuring optimal traffic safety, particularly in wet weather conditions. Friction consists of two important components: adhesion and hysteresis. This research focuses on evaluating these essential factors in HFST using two different aggregates and two distinct sizes by considering various abrasion and polishing methods. To isolate these components for assessment, testing was carried out under various slippery conditions, including dry, wet with water, and wet with water + soap. The inclusion of liquid hand soap in the test procedure effectively minimized or even eliminated the adhesion component's …


Defects Detection Of Concrete Bridge Decks Using Uav-Based Infrared Thermography, H. B. Zhang, Z. Zhou, G. Chen Jan 2024

Defects Detection Of Concrete Bridge Decks Using Uav-Based Infrared Thermography, H. B. Zhang, Z. Zhou, G. Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Concrete bridges are vulnerable to both natural and man-made disasters, as well as aging and deterioration processes throughout their lifespan. Timely detection of defects in concrete structures is crucial for repair and decision-making purposes. However, traditional methods like visual inspection are time-consuming and expensive. Unmanned aerial vehicles (UAVs) equipped with infrared thermography (IRT) offer an efficient and cost-effective solution for detecting defects in concrete structures. This study presents passive and active IRT techniques for detecting common concrete defects, such as delamination and cracks. Principle and methods for quantifying these defects and evaluating the extent of damage are introduced. Experiments are …


Improving Aggregate Abrasion Resistance Prediction Via Micro-Deval Test Using Ensemble Machine Learning Techniques, Alireza Roshan, Magdy Abdelrahman Jan 2024

Improving Aggregate Abrasion Resistance Prediction Via Micro-Deval Test Using Ensemble Machine Learning Techniques, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Aggregate is the most extracted material from the world's mines and widely used in civil and construction projects. The Micro-Deval abrasion test (MD) is one of the most important tests that provides characteristics of crushed aggregates that show their resistance against mechanical abrasive factors such as repeated impact loading. The impact of various factors on abrasive resistance properties of aggregates has led researchers to seek correlations, often focusing on limited data samples, leading to reduced accuracy. This study employs machine learning (ML) methods to predict MD abrasion values, considering diverse aggregate properties. Various ensemble ML methods were applied, revealing the …


Scshm Benchmark Study On Bridge In-Service Structural Monitoring, Maria Pina Limongelli, Doug Thomson, Sreenivas Alampalli, Aftab Mufti, Thomas Schumacher, Luca Martinelli, Othmane Lasri, Harry Shenton, Genda Chen, Mohammad Noori, Farnaz Raeisi, Ahmed Silik, Ji Dang, Ray Hoemsen Jan 2024

Scshm Benchmark Study On Bridge In-Service Structural Monitoring, Maria Pina Limongelli, Doug Thomson, Sreenivas Alampalli, Aftab Mufti, Thomas Schumacher, Luca Martinelli, Othmane Lasri, Harry Shenton, Genda Chen, Mohammad Noori, Farnaz Raeisi, Ahmed Silik, Ji Dang, Ray Hoemsen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The mission of the Society of Civil Structural Health Monitoring (SCSHM, previously known as ISHMII) is to advance the understanding and application of structural monitoring methodologies for the management of civil infrastructure systems. To enable comparative and contrasting studies of various monitoring issues and technologies, the SCSHM Committee on Data-Enhanced Infrastructures Management (DEIMC) identified the need for benchmark problems in the areas of bridge and building structural monitoring. This article reports and briefly discusses the first benchmark study on in-service structural monitoring of bridges that was developed in collaboration with the University of Manitoba, and presents the structure details, study …


Tough Monolayer Silver Nanowire-Reinforced Double-Layer Graphene, Yanxiao Li, Congjie Wei, Steven E. Kooi, David Veysset, Chuanrui Guo, Yuxiang Gan, Ying Zhuo, Genda Chen, Mohammad Naraghi, Keith A. Nelson, Chenglin Wu Jan 2024

Tough Monolayer Silver Nanowire-Reinforced Double-Layer Graphene, Yanxiao Li, Congjie Wei, Steven E. Kooi, David Veysset, Chuanrui Guo, Yuxiang Gan, Ying Zhuo, Genda Chen, Mohammad Naraghi, Keith A. Nelson, Chenglin Wu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Mixed-dimensional nanomaterials composed of one-dimensional (1D) and two-dimensional (2D) nanomaterials, such as graphene-silver nanowire (AgNW) composite sandwiched structures, are promising candidates as building blocks for multifunctional structures and materials. However, their mechanical behavior and failure mechanism have not yet been fully understood. In this work, we have performed integrated experimental, theoretical, and numerical studies to explore the performance and failure modes of graphene-AgNW composite under tensile and impact loading conditions. In situ tensile tests using a nano indenter, implemented with a push-to-pull device and a laser-induced projectile impact test system, are used to shed light on load-bearing mechanisms in graphene-AgNW …


A Vehicle-Bridge Interaction Model Considering Contact Patch Size And Vehicle Self-Generated Excitation – A Theoretical Study, Zhenhua Shi, Yahya M. Mohammed, Nasim Uddin, Genda Chen Jan 2024

A Vehicle-Bridge Interaction Model Considering Contact Patch Size And Vehicle Self-Generated Excitation – A Theoretical Study, Zhenhua Shi, Yahya M. Mohammed, Nasim Uddin, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This paper presents an improved theoretical damped single-axle vehicle-bridge dynamic interaction model to consider the effect of the contact patch size and motor-induced vehicle excitation. The contact patch issue is critical as it determines the minimum time step for simulation and maximum identifiable frequency, while the inclusion of the motor-induced vehicle excitation benefits the design of autonomous self-driven rather than towed vehicles. Estimations of the contact patch size for both the pneumatic tire and solid wheel scenarios are discussed. The contact patch responses, which degenerate into contact point responses when the contact patch size is assumed to be infinitely small, …


Performance Of Smart Shear Keys In Concrete Bridges Under Tsunami Loading: An Experimental Study, Haibin Zhang, Xinzhe Yuan, Genda Chen, Pedro Lomonaco Jan 2024

Performance Of Smart Shear Keys In Concrete Bridges Under Tsunami Loading: An Experimental Study, Haibin Zhang, Xinzhe Yuan, Genda Chen, Pedro Lomonaco

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Bridges have recently been exposed to an increasing number of natural hazards such as earthquakes and tsunamis. These extreme events have resulted in transverse offsets, overturning moments, and even dropping-off of superstructures due to their weak connection to substructures. These outcomes are potentially prevented or mitigated by developing and deploying sliding, modular, adaptive, replaceable, and two-dimensional (SMART) shear keys as fuse elements between superstructures and substructures. The novelty of SMART shear keys is to enable an adaptive control of both the force and displacement of bridges under different types of loads. In this study, the performance of SMART shear keys …


Inspire Newsletter Fall 2024, Missouri University Of Science And Technolgy Inspire - University Transportation Center Jan 2024

Inspire Newsletter Fall 2024, Missouri University Of Science And Technolgy Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.


Miniature 3d Position-To-Optical Displacement Sensor, Genda Chen, Jie Gao, Chuanrui Guo Jan 2024

Miniature 3d Position-To-Optical Displacement Sensor, Genda Chen, Jie Gao, Chuanrui Guo

Patents

A miniature, micrometer-accuracy, three-dimensional (3D) position-to-optical displacement sensor that has at least one extrinsic Fabry-Perot interferometer (EFPI) in Z direction and a series of plasmonic metasurface resonators with distinctive wavelength-selective characteristics in X and Y directions. The interferometer comprises at least one single mode optic fiber for light propagation, and a substrate mirror to create a light interference fringe as a function of distance between the mirror and the distal end of the optic fiber. Each plasmonic resonator is capable of modifying the substrate mirror and comprises an array of multiple unit nanostructure unit cells that are arranged in a …


Three-Dimensional Printing Of Reinforced Concrete And Nozzle Therefor, Chenglin Wu, Genda Chen, Dimitri Feys, Guirong Yan, Bryce Tyler Tafolla Jan 2024

Three-Dimensional Printing Of Reinforced Concrete And Nozzle Therefor, Chenglin Wu, Genda Chen, Dimitri Feys, Guirong Yan, Bryce Tyler Tafolla

Patents

A three-dimensional printing system for reinforced concrete and a nozzle therefore. The system employs an extruder for extruding unreinforced concrete and a concrete reinforcement feeder is for feeding one or more elongate reinforcement members. The nozzle has an outlet and is operatively connected to the extruder and the concrete reinforcement feeder to receive the unreinforced concrete from the extruder and to receive the one or more elongate reinforcement members from the concrete reinforcement feeder. The nozzle combines the unreinforced concrete from the extruder and the one or more elongate reinforcement members from the concrete reinforcement feeder into a reinforced concrete …


Effect Of Type And Quantity Of Inherent Alkali Cations On Alkali-Silica Reaction, Pengfei Ma, Jiaoli Li, Jincheng Bai, Ying Zhuo, Lingyu Chi, Yanping Zhu, Zhenhua Shi, Hongyan Ma, Genda Chen Nov 2023

Effect Of Type And Quantity Of Inherent Alkali Cations On Alkali-Silica Reaction, Pengfei Ma, Jiaoli Li, Jincheng Bai, Ying Zhuo, Lingyu Chi, Yanping Zhu, Zhenhua Shi, Hongyan Ma, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In this study, the macroscopical expansion induced by alkali-silica reaction (ASR) and its corresponding ASR products are investigated using ordinary Portland cement (OPC) mortar specimens with a gradient of boosted alkalis. Experimental results show that the expansion increases with the concentration of inherent alkalis. Sodium-boosted samples expand approximately three times as much as potassium-boosted samples. ASR gels that are present in aggregate veins are calcium-free and amorphous; the atomic ratios of ASR gels are nearly independent of the type and quantity of alkali cations. Aggregate ASR gel exudation occurs in high (≥2.5 %) sodium cases and produces potential Na-shlykovite. Crystalline …


Semi-Annual Progress Report #12, Missouri University Of Science And Technology. Inspire - University Transportation Center Sep 2023

Semi-Annual Progress Report #12, Missouri University Of Science And Technology. Inspire - University Transportation Center

Semi-Annual Progress Reports

No abstract provided.


Robotic Inspection Of Infrastructure Using Vision, Gpr, And Impact-Echo Sensors, Jizhong Xiao Sep 2023

Robotic Inspection Of Infrastructure Using Vision, Gpr, And Impact-Echo Sensors, Jizhong Xiao

INSPIRE Archived Webinars

Bridges, dams, highways, and tunnels in the U.S. are reaching their life expectancy, and thus have imperative needs for routine inspection and maintenance to ensure sustainability. It is reported that 42% of over 600,000 highway bridges in the National Bridge Inventory (NBI) have exceeded their design life of 50 years, and 42,951 bridges are rated in poor condition and classified as "structurally deficient". To inspect the structurally integrity of bridges, the inspectors also need to detect subsurface defects (i.e., delamination, voids) using NDE instruments such as GPR and impact-echo (IE) device at difficult to access components (i.e., pier, bottom side …


Final Report - Augmenting Bridge Inspection With Augmented Reality And Haptics Based Aerial Manipulation, Paul Oh, Blake Hament, Dongbin Kim Aug 2023

Final Report - Augmenting Bridge Inspection With Augmented Reality And Haptics Based Aerial Manipulation, Paul Oh, Blake Hament, Dongbin Kim

Project AS-7

Insight and leverage from prior project identified the need for haptics; the inspector’s sense of touch is often used in bridge assessment. Envisioned is the augmentation of bridge personnel by providing a haptics-based aerial manipulator. Such a manipulator would reduce needs to ascend elevated structures like under bridge decks and cabling. There is recent work that uses haptics in aerial manipulation. But these center on autonomous multi-drone flight formation for aerial shows or cooperative object delivery and are relatively straight-forward. The sense of touch is used to provide spatial distance between drones. By contrast, this proposal’s novelty and merit are …


Machine Learning-Based Seismic Damage Assessment Of Residential Buildings Considering Multiple Earthquake And Structure Uncertainties, Xinzhe Yuan, Liujun Li, Haibin Zhang, Yanping Zhu, Genda Chen, Cihan H. Dagli Aug 2023

Machine Learning-Based Seismic Damage Assessment Of Residential Buildings Considering Multiple Earthquake And Structure Uncertainties, Xinzhe Yuan, Liujun Li, Haibin Zhang, Yanping Zhu, Genda Chen, Cihan H. Dagli

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Wood-frame structures are used in almost 90% of residential buildings in the United States. It is thus imperative to rapidly and accurately assess the damage of wood-frame structures in the wake of an earthquake event. This study aims to develop a machine-learning-based seismic classifier for a portfolio of 6,113 wood-frame structures near the New Madrid Seismic Zone (NMSZ) in which synthesized ground motions are adopted to characterize potential earthquakes. This seismic classifier, based on a multilayer perceptron (MLP), is compared with existing fragility curves developed for the same wood-frame buildings near the NMSZ. This comparative study indicates that the MLP …


Development And Characterization Of Coal-Based Thermoplastic Composite Material For Sustainable Construction, Haibin Zhang, Wenyu Liao, Genda Chen, Hongyan Ma Aug 2023

Development And Characterization Of Coal-Based Thermoplastic Composite Material For Sustainable Construction, Haibin Zhang, Wenyu Liao, Genda Chen, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The exploitation of coal and the disposal of waste plastic present significant environmental and economic challenges that require sustainable and profitable solutions. In response, we propose a renewable construction composite material of coal-based thermoplastic composite (CTC) that can be made from low-grade coal and plastic waste. We developed and tested the hot-press fabrication method for this CTC, using coal with a maximum particle size of 4.75 mm and recycled high-density polyethylene (HDPE). The effects of the coal fraction (50–80 wt.%) on compressive properties, thermal properties, microstructure, and ecological and economic efficiencies of the CTC were investigated. Test results revealed that …


A Spike-Shaped Anchorage For Steel Reinforced Polymer (Srp)-Strengthened Concrete Structures, Xingxing Zou, Keenan L. Mcburney, Lesley H. Sneed Jul 2023

A Spike-Shaped Anchorage For Steel Reinforced Polymer (Srp)-Strengthened Concrete Structures, Xingxing Zou, Keenan L. Mcburney, Lesley H. Sneed

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Steel reinforced polymer (SRP) composite has recently emerged as an effective and economical solution for strengthening of reinforced concrete (RC) structures. Premature debonding failure of unanchored SRP at low load levels generally governs the performance of RC structures strengthened with externally bonded SRP. Therefore, a novel yet simple spike-shaped anchorage system was proposed in this study to prevent the debonding failure of SRP and to improve the interfacial shear capacity. Experimental investigation through single-lap shear tests of SRP-concrete joints showed that the anchorage system changed the failure mode from composite debonding to fiber rupture. In addition, the anchorage system substantially …


Final Report - Hyperspectral Imaging Analysis For Mechanical And Chemical Properties Of Concrete And Steel Surfaces, Genda Chen, Hongyan Ma, Pengfei Ma, Liang Fan, Abdullah Alhaj Jun 2023

Final Report - Hyperspectral Imaging Analysis For Mechanical And Chemical Properties Of Concrete And Steel Surfaces, Genda Chen, Hongyan Ma, Pengfei Ma, Liang Fan, Abdullah Alhaj

Project SN-5

This project aims to develop a hyperspectral imaging approach for characterizing the mechanical and chemical properties of concrete and steel surfaces. A dual-sensor camera is used to collect images for mortar classification, mortar compressive strength assessment, Cl- concentration determination, and steel rebar and plate corrosion evaluation. Each pixel in an image includes spectral features ranging from 400 nm to 2500 nm in wavelength. For mortar samples, reflectance intensities at a wavelength of 1920 nm to 1980 nm, associated with the O-H chemical bond, were extracted and averaged to classify the types of mortars with K-Nearest Neighbors (KNN) and Support Vector …


Influence Of Support Attachment Pattern On The Out-Of-Plane Buckling Capacity Of Steel Deck, Divyansh R. Kapoor, Brian Bogh, Kara D. Peterman Jun 2023

Influence Of Support Attachment Pattern On The Out-Of-Plane Buckling Capacity Of Steel Deck, Divyansh R. Kapoor, Brian Bogh, Kara D. Peterman

American Iron and Steel Institute (AISI) Specifications, Standards, Manuals and Research Reports (1946 - present)

Diaphragms (Figure 1) serve as a critical component of a building's lateral force resisting system (LFRS), transferring lateral loads from the façade of the structure to the designated vertical lateral force resisting system. Design guidance for profiled steel diaphragm panels can be found in AISI S310 - 20 (AISI 2020) and SDI DDM04 (Luttrell 2015) and are controlled by connection limit states or buckling limit states. Deck connectivity with the underlying frame can either be fully attached (For example 36/7), i.e. connected through the bottom of each flute, or partially attached (for example 36/5 or 36/4) where not all the …


Coating Condition Detection And Assessment On The Steel Girder Of A Bridge Through Hyperspectral Imaging, Pengfei Ma, Jiaoli Li, Ying Zhuo, Pu Jiao, Genda Chen Jun 2023

Coating Condition Detection And Assessment On The Steel Girder Of A Bridge Through Hyperspectral Imaging, Pengfei Ma, Jiaoli Li, Ying Zhuo, Pu Jiao, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The organic coating of bridge steel girders is subjected to physical scratches, corrosion, and aging in natural weathering. The breakdown of the coating may cause serviceability and safety problems if left unnoticed. Conventional coating inspection is time-consuming and lacks information about the coating's chemical integrity. A hyperspectral imaging method is proposed to detect the condition of steel coatings based on coating-responsive features in reflectance spectra. A field test was conducted on the real-world bridge, which shows obvious signs of degradation. The hyperspectral signature enables an assessment of the coating's health and defect severity. The results indicated that the coating scratch …


Preliminary Bond Capacity Exploration Between Monolayer Graphene And Cementitious Composites, Yanping Zhu, Chuanrui Guo, Genda Chen Jun 2023

Preliminary Bond Capacity Exploration Between Monolayer Graphene And Cementitious Composites, Yanping Zhu, Chuanrui Guo, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This Study Aims to Explore Bond Capacity between Monolayer Graphene and Cementitious Composites for the First Time through a Pullout Test. the Low-Pressure Chemical Vapor Deposition Method Was Used to Synthesize Monolayer Graphene on the Copper Substrate to Be Embedded in the Mortar Made by the Briquette Mold. the Bond Capacity between Them Was Higher Than the Tensile Strength of the Copper Sheet with As-Grown Monolayer Graphene on the Surface Since All Specimens Failed in Fracture with Embedment Length of More Than 30 Mm. the Monolayer Graphene Enhanced the Copper Tensile Fracture Stress and Normalized Energy during the Test as …


Semi-Annual Progress Report #13, Missouri University Of Science And Technology Mar 2023

Semi-Annual Progress Report #13, Missouri University Of Science And Technology

Semi-Annual Progress Reports

No abstract provided.