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Articles 541 - 570 of 7869

Full-Text Articles in Civil and Environmental Engineering

2022 Technical Program, Inspire - University Transportation Center Aug 2022

2022 Technical Program, Inspire - University Transportation Center

INSPIRE-UTC Annual Meetings

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

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Llam-Mdcnet For Detecting Remote Sensing Images Of Dead Tree Clusters, Zongchen Li, Ruoli Yang, Weiwei Cai, Yongfei Xue, Yaowen Hu, Liujun Li Aug 2022

Llam-Mdcnet For Detecting Remote Sensing Images Of Dead Tree Clusters, Zongchen Li, Ruoli Yang, Weiwei Cai, Yongfei Xue, Yaowen Hu, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Clusters of dead trees are forest fires-prone. To maintain ecological balance and realize its protection, timely detection of dead trees in forest remote sensing images using existing computer vision methods is of great significance. Remote sensing images captured by Unmanned aerial vehicles (UAVs) typically have several issues, e.g., mixed distribution of adjacent but different tree classes, interference of redundant information, and high differences in scales of dead tree clusters, making the detection of dead tree clusters much more challenging. Therefore, based on the Multipath dense composite network (MDCN), an object detection method called LLAM-MDCNet is proposed in this paper. First, …

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Professional And Organizational Leadership Role In Ethics Management: Avoiding Reliance On Ethical Codification And Nurturing Ethical Culture, Islam H. El-Adaway, Marianne Jennings Aug 2022

Professional And Organizational Leadership Role In Ethics Management: Avoiding Reliance On Ethical Codification And Nurturing Ethical Culture, Islam H. El-Adaway, Marianne Jennings

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The engineering profession has experienced some ethical cases that were rarely reported, scrutinized, or discussed because: they did not necessarily represent violations of existing codes even if they breached ethical principles; those within the organization were not prepared to take steps to address the issues or impose sanction; an/or some of the personnel associated with these cases resorted to silence to avoid being labeled as trouble-makers in their organizations and, perhaps, more broadly, in society. The goal of this paper is to heighten managerial awareness of ethical issues, interrelated ethical lapses, and appropriate responsive actions within professional engineering communities. As …

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The Use Of Alkaline Co2 Solvent For The Co2 Curing Of Blast-Furnace Slag Mortar, Seong Ho Han, Yubin Jun, Jae Hong Kim Aug 2022

The Use Of Alkaline Co2 Solvent For The Co2 Curing Of Blast-Furnace Slag Mortar, Seong Ho Han, Yubin Jun, Jae Hong Kim

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Moving toward carbon neutrality in the construction industry involves utilizing CO2 to produce construction materials. CO2 curing of cement-based materials induces carbonation at an early age, which enhances strength and performance. A new process for the CO2 curing is proposed using CO2-dissolved curing water, which needs no massive CO2-gas chamber encasing cement-based materials in mild pressure. Gaseous CO2 was dissolved in 1 M aqueous KOH solution beforehand, and mortar samples made with ground-granulated blast furnace slag were submerged and cured. The CO2-water curing for 3 days carbonated the samples but …

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Temporal Lidar Scanning In Quantifying Cumulative Rockfall Volume And Hazard Assessment: A Case Study At Southwestern Saudi Arabia, Abdullah A. Alotaibi, Norbert H. Maerz, Kenneth J. Boyko, Ahmed M. Youssef, Biswajeet Pradhan Aug 2022

Temporal Lidar Scanning In Quantifying Cumulative Rockfall Volume And Hazard Assessment: A Case Study At Southwestern Saudi Arabia, Abdullah A. Alotaibi, Norbert H. Maerz, Kenneth J. Boyko, Ahmed M. Youssef, Biswajeet Pradhan

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Rockfalls and unstable slopes pose a serious threat to people and property along roads/highways in the southwestern mountainous regions of Saudi Arabia. In this study, the application of terrestrial light detection and ranging (LiDAR) technology was applied aiming to propose a strategy to analyze and accurately depict the detection of rockfall changes, calculation of rockfall volume, and evaluate rockfall hazards along the Habs Road, Jazan Region, Saudi Arabia. A series of temporal LiDAR scans were acquired at three selected sites. Our results show that these three sites have different degrees of hazard due to their geological differences. The mean volume …

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Coupled Effect Of Fiber And Granular Skeleton Characteristics On Packing Density Of Fiber-Aggregate Mixtures, Naimeh Nouri, Masoud Hosseinpoor, Ammar Yahia, Kamal Khayat Aug 2022

Coupled Effect Of Fiber And Granular Skeleton Characteristics On Packing Density Of Fiber-Aggregate Mixtures, Naimeh Nouri, Masoud Hosseinpoor, Ammar Yahia, Kamal Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The addition of fiber to cementitious materials enhances mechanical performance but can reduce workability of the fiber-reinforced concrete (FRC) mixtures. This can be due to the negative effect of fibers on packing density (PD) of the fiber-coarse aggregate (F-A) combination. The performance of FRC, as a diphasic suspension, is dependent on the characteristics of both F-A (suspended-solid skeleton) and mortar (suspending liquid) phases. PD can reflect the voids within the F-A skeleton to be filled with mortar. An adequate optimization of the characteristics of the F-A skeleton can modify the performance of FRC in fresh and hardened states. The F-A …

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Quantifying The Workability Of Calcium Sulfoaluminate Cement Paste Using Time-Dependent Rheology, Sukanta K. Mondal, Adam Welz, Carrie Clinton, Kamal Khayat, Aditya Kumar, Monday Uchenna Okoronkwo Aug 2022

Quantifying The Workability Of Calcium Sulfoaluminate Cement Paste Using Time-Dependent Rheology, Sukanta K. Mondal, Adam Welz, Carrie Clinton, Kamal Khayat, Aditya Kumar, Monday Uchenna Okoronkwo

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Poor workability is a common feature of calcium sulfoaluminate (CSA) cement paste. Multiple chemical admixtures, such as set retarders and dispersants, are frequently employed to improve the workability and delay the setting of CSA cement paste. A quantitative assessment of the compatibility, efficiency, and the effects of the admixtures on cement paste workability is critical for the design of an appropriate paste formulation and admixture proportioning. Very limited studies are available on the quantitative rheology-based method for evaluating the workability of calcium sulfoaluminate cement pastes. This study presents a novel and robust time-dependent rheological method for quantifying the workability of …

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Wind Flow Characteristics Of Multi-Vortex Tornadoes And Their Wind Effects On Residential Houses, Yi Zhao Aug 2022

Wind Flow Characteristics Of Multi-Vortex Tornadoes And Their Wind Effects On Residential Houses, Yi Zhao

Doctoral Dissertations

"Tornadoes strike the USA very frequently, with an average of 1200 reports per year, and the average annual tornado-induced property loss has reached $10B. The devastation from recent tornadoes have prompted a renewed interest in better understanding tornado dynamics, their interactions with the built environment, and the performance of civil structures during tornadoes. In the past, the wind effects caused by single-vortex tornadoes have been widely studied, while the multi-vortex tornadoes were rarely considered. In fact, many previous deadly, costly tornadoes involved multiple vortices. Therefore, it is important to understand the wind flow characteristics of multi-vortex tornadoes in order to …

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Ds-Menet For The Classification Of Citrus Disease, Xuyao Liu, Yaowen Hu, Guoxiong Zhou, Weiwei Cai, Mingfang He, Jialei Zhan, Yahui Hu, Liujun Li Jul 2022

Ds-Menet For The Classification Of Citrus Disease, Xuyao Liu, Yaowen Hu, Guoxiong Zhou, Weiwei Cai, Mingfang He, Jialei Zhan, Yahui Hu, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Affected by various environmental factors, citrus will frequently suffer from diseases during the growth process, which has brought huge obstacles to the development of agriculture. This paper proposes a new method for identifying and classifying citrus diseases. Firstly, this paper designs an image enhancement method based on the MSRCR algorithm and homomorphic filtering algorithm optimized by Laplacian (HFLF-MS) to highlight the disease characteristics of citrus. Secondly, we designed a new neural network DS-MENet based on the DenseNet-121 backbone structure. In DS-MENet, the regular convolution in Dense Block is replaced with depthwise separable convolution, which reduces the network parameters. The ReMish …

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Ds-Menet For The Classification Of Citrus Disease, Xuyao Liu, Yaowen Hu, Guoxiong Zhou, Weiwei Cai, Mingfang He, Jialei Zhan, Yahui Hu, Liujun Li Jul 2022

Ds-Menet For The Classification Of Citrus Disease, Xuyao Liu, Yaowen Hu, Guoxiong Zhou, Weiwei Cai, Mingfang He, Jialei Zhan, Yahui Hu, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Affected by various environmental factors, citrus will frequently suffer from diseases during the growth process, which has brought huge obstacles to the development of agriculture. This paper proposes a new method for identifying and classifying citrus diseases. Firstly, this paper designs an image enhancement method based on the MSRCR algorithm and homomorphic filtering algorithm optimized by Laplacian (HFLF-MS) to highlight the disease characteristics of citrus. Secondly, we designed a new neural network DS-MENet based on the DenseNet-121 backbone structure. In DS-MENet, the regular convolution in Dense Block is replaced with depthwise separable convolution, which reduces the network parameters. The ReMish …

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Commercial Janus Fabrics As Reusable Facemask Materials: A Balance Of Water Repellency, Filtration Efficiency, Breathability, And Reusability, Steven Cheng, Weixing Hao, Yuchen Wang, Yang Wang, Shu Yang Jul 2022

Commercial Janus Fabrics As Reusable Facemask Materials: A Balance Of Water Repellency, Filtration Efficiency, Breathability, And Reusability, Steven Cheng, Weixing Hao, Yuchen Wang, Yang Wang, Shu Yang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Facemasks as personal protective equipment play a significant role in helping prevent the spread of viruses during the COVID-19 pandemic. A desired reusable fabric facemask should strike a balance of water repellency, good filtration efficiency (FE), breathability, and mechanical robustness against washing cycles. Despite significant efforts in testing various commercial fabric materials for filtration efficiency, few have investigated fabric performance as a function of the fiber/yarn morphology and wettability of the fabric itself. In this study, we examine commercial fabrics with Janus-like behaviors to determine the best reusable fabric facemask materials by understanding the roles of morphology, porosity, and wettability …

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Mdam-Drnet: Dual Channel Residual Network With Multi-Directional Attention Mechanism In Strawberry Leaf Diseases Detection, Tingjing Liao, Ruoli Yang, Peirui Zhao, Wenhua Zhou, Mingfang He, Liujun Li Jul 2022

Mdam-Drnet: Dual Channel Residual Network With Multi-Directional Attention Mechanism In Strawberry Leaf Diseases Detection, Tingjing Liao, Ruoli Yang, Peirui Zhao, Wenhua Zhou, Mingfang He, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The growth of strawberry plants is affected by a variety of strawberry leaf diseases. Yet, due to the complexity of these diseases' spots in terms of color and texture, their manual identification requires much time and energy. Developing a more efficient identification method could be imperative for improving the yield and quality of strawberry crops. To that end, here we proposed a detection framework for strawberry leaf diseases based on a dual-channel residual network with a multi-directional attention mechanism (MDAM-DRNet). (1) In order to fully extract the color features from images of diseased strawberry leaves, this paper constructed a color …

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Mdam-Drnet: Dual Channel Residual Network With Multi-Directional Attention Mechanism In Strawberry Leaf Diseases Detection, Tingjing Liao, Ruoli Yang, Peirui Zhao, Wenhua Zhou, Mingfang He, Liujun Li Jul 2022

Mdam-Drnet: Dual Channel Residual Network With Multi-Directional Attention Mechanism In Strawberry Leaf Diseases Detection, Tingjing Liao, Ruoli Yang, Peirui Zhao, Wenhua Zhou, Mingfang He, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The growth of strawberry plants is affected by a variety of strawberry leaf diseases. Yet, due to the complexity of these diseases' spots in terms of color and texture, their manual identification requires much time and energy. Developing a more efficient identification method could be imperative for improving the yield and quality of strawberry crops. To that end, here we proposed a detection framework for strawberry leaf diseases based on a dual-channel residual network with a multi-directional attention mechanism (MDAM-DRNet). (1) In order to fully extract the color features from images of diseased strawberry leaves, this paper constructed a color …

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Life Cycle Cost Analysis Of High Friction Surface Treatment Applications, Eslam Deef-Allah, Korrenn Broaddus, Magdy Abdelrahman Jul 2022

Life Cycle Cost Analysis Of High Friction Surface Treatment Applications, Eslam Deef-Allah, Korrenn Broaddus, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Life cycle cost analyses for high friction surface treatment (HFST) applications were executed relying on a Microsoft Excel program developed by the researchers. Calcined bauxite (CB), five CB alternatives, and epoxy binder were utilized in the HFST applications. The aggregates' performances were evaluated through the aggregate image measurement system (AIMS) before and after Micro-Deval polishing. The performance of the HFST applications was evaluated by the dynamic friction tester (DFT) and British pendulum (BP). The major purpose of this program was to present a rational method for converting different input data (project and material specifics) to comparable output data (net present …

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Quantification Of The State Of Practice Of Offsite Construction And Related Technologies: Current Trends And Future Prospects, Rayan H. Assaad, Islam H. El-Adaway, Makarand Hastak, Kim Lascola Needy Jul 2022

Quantification Of The State Of Practice Of Offsite Construction And Related Technologies: Current Trends And Future Prospects, Rayan H. Assaad, Islam H. El-Adaway, Makarand Hastak, Kim Lascola Needy

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Although some researchers and practitioners have perceived that the current reliance on offsite construction methods is high, other studies have hypothesized that the use of offsite construction techniques is still considered to be somehow limited. To this end, this paper aims to quantify the state of practice of offsite construction in terms of current trends and future prospects for the overall industry as well as the following main sectors: industrial, building and commercial, and infrastructure. First, a questionnaire was formed, pilot-tested, distributed, and completed by 100 construction practitioners. Second, the questionnaire's internal and external validity and reliability were examined using …

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The Impact Of Offsite Construction On The Workforce: Required Skillset And Prioritization Of Training Needs, Rayan H. Assaad, Islam H. El-Adaway, Makarand Hastak, Kim Lascola Needy Jul 2022

The Impact Of Offsite Construction On The Workforce: Required Skillset And Prioritization Of Training Needs, Rayan H. Assaad, Islam H. El-Adaway, Makarand Hastak, Kim Lascola Needy

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Offsite construction has showed great potential in addressing many of the industry's problems. While multiple research efforts have been directed at examining different offsite construction aspects, few studies investigated the workforce-related aspects. Therefore, this study aims to address this knowledge gap by examining the impact of offsite construction on the workforce, as represented by the following five workforce categories: offsite, onsite, engineering and design, construction and fabrication, and administrative workforce. To this end, this paper (1) determined the impact of offsite construction on the skillset (reskilling or upskilling) and the demand (shrink or growth) for the offsite and onsite construction …

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A Proactive Risk Assessment Framework To Maximize Schedule Benefits Of Modularization In Construction Projects, Mohamad Abdul Nabi, Islam H. El-Adaway Jul 2022

A Proactive Risk Assessment Framework To Maximize Schedule Benefits Of Modularization In Construction Projects, Mohamad Abdul Nabi, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Various studies developed models and decision support tools to assess the feasibility and optimize the use of modularization. However, none has explored the schedule benefits of modular construction. This paper fills this knowledge gap. To this end, the authors completed the following: (1) analyzed the criticalities of the various modular risk factors on potential schedule savings using data collected from 48 industry professionals, (2) investigated the schedule savings associated with the use of modularization using data collected from 68 modular construction projects, and (3) developed an interrelated assessment model to calculate the schedule savings of using modularization. The provided model …

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Examining Metal Contents In Primary And Secondhand Aerosols Released By Electronic Cigarettes, Kashala Fabrice Kapiamba, Weixing Hao, Stephen Adom, Wenyan Liu, Yue-Wern Huang, Yang Wang Jun 2022

Examining Metal Contents In Primary And Secondhand Aerosols Released By Electronic Cigarettes, Kashala Fabrice Kapiamba, Weixing Hao, Stephen Adom, Wenyan Liu, Yue-Wern Huang, Yang Wang

Chemistry Faculty Research & Creative Works

The usage of electronic cigarettes (ECs) has surged since their invention two decades ago. However, to date, the health effects of EC aerosol exposure are still not well understood because of insufficient data on the chemical composition of EC aerosols and the corresponding evidence of health risks upon exposure. Herein, we quantified the metals in primary and secondhand aerosols generated by three brands of ECs. By combining aerosol filter sampling and inductively coupled plasma mass spectrometry (ICP-MS), we assessed the mass of metals as a function of EC flavoring, nicotine concentration, device power, puff duration, and aging of the devices. …

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Mpc-Stanet: Alzheimer’S Disease Recognition Method Based On Multiple Phantom Convolution And Spatial Transformation Attention Mechanism, Yujian Liu, Kun Tang, Weiwei Cai, Aibin Chen, Guoxiong Zhou, Liujun Li, Runmin Liu Jun 2022

Mpc-Stanet: Alzheimer’S Disease Recognition Method Based On Multiple Phantom Convolution And Spatial Transformation Attention Mechanism, Yujian Liu, Kun Tang, Weiwei Cai, Aibin Chen, Guoxiong Zhou, Liujun Li, Runmin Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Alzheimer's disease (AD) is a progressive neurodegenerative disease with insidious and irreversible onset. The recognition of the disease stage of AD and the administration of effective interventional treatment are important to slow down and control the progression of the disease. However, due to the unbalanced distribution of the acquired data volume, the problem that the features change inconspicuously in different disease stages of AD, and the scattered and narrow areas of the feature areas (hippocampal region, medial temporal lobe, etc.), the effective recognition of AD remains a critical unmet need. Therefore, we first employ class-balancing operation using data expansion and …

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Designs Of Abrasion Resistant And Durable Concrete Pavements Made With Scms For Cold Climates, Diane Murph, Jun Liu, Jenny Liu Jun 2022

Designs Of Abrasion Resistant And Durable Concrete Pavements Made With Scms For Cold Climates, Diane Murph, Jun Liu, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Rutting from studded tire wear is a typical pavement distress in cold climates such as that of Alaska and other northern states. Current state-of-the-art advancements in material technology and concrete pavement design have allowed for implementation of improved materials and concrete pavement sections that are more resistant to rutting. The addition of supplementary cementitious materials (SCMs) has been identified as one effective way to produce concrete pavements with better abrasion resistance. The objective of this study was to identify and develop concrete pavement mix designs containing SCMs that can provide excellent abrasion resistance and durability to address rutting from studded …

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Comparing Oranges Versus Grapes As A Metaphor Of The Nurse+Engineer, Daniel B. Oerther, Sarah Oerther Jun 2022

Comparing Oranges Versus Grapes As A Metaphor Of The Nurse+Engineer, Daniel B. Oerther, Sarah Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

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Mechanisms Affecting Viscosity Of Cement Paste Made With Microfines Of Manufactured Sand, Jiang Zhu, Jiaping Liu, Kamal Khayat, Xin Shu, Qianping Ran, Zhen Li Jun 2022

Mechanisms Affecting Viscosity Of Cement Paste Made With Microfines Of Manufactured Sand, Jiang Zhu, Jiaping Liu, Kamal Khayat, Xin Shu, Qianping Ran, Zhen Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Viscosity of cement-based materials incorporating manufactured sand is affected by the content and physical properties of the microfines in the sand. However, some of the mechanisms affecting the viscosity remain unclear. This paper investigates the effect of microfine type and content on the apparent viscosity (ηapp) and residual viscosity in/near pseudo-Newtonian regime (ηrespse−New) of cement pastes. Limestone (LS), slate (ST), and tuff (TF) microfines with different specific surface areas were investigated. Test results showed that, by deducting the greater contribution of yield stress to ηapp when using finer microfines, the increase of ηrespse−New at a given PCE dosage was mainly …

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Feasibility Study On Novel Fire-Resistant Coating Materials, Anyou Zhu, Hanli Wu, Jenny Liu Jun 2022

Feasibility Study On Novel Fire-Resistant Coating Materials, Anyou Zhu, Hanli Wu, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Over the last few decades, wildfires in the United States have caused severe damage and property losses. As more houses are being built in areas prone to wildfire, enhancing the fire resistance of structures and buildings is critical and in great need. This paper presents a preliminary study to explore and develop some innovative surface-bonded fire-resistant coating materials for this purpose. The feasibility of these materials [i.e., high performance cement mortar (HPCM), geopolymer mortar (GPM), and magnesium phosphate cement mortar (MPCM)] was assessed considering the workability, adhesion to structure surface, and fire property. The Taguchi-based mix designs of HPCM, GPM, …

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On Internal Resonance Analysis Of A Double-Cable-Stayed Shallow-Arch Model With Elastic Supports At Both Ends, Xiaoyang Su, Houjun Kang, Tieding Guo, Guirong Grace Yan Jun 2022

On Internal Resonance Analysis Of A Double-Cable-Stayed Shallow-Arch Model With Elastic Supports At Both Ends, Xiaoyang Su, Houjun Kang, Tieding Guo, Guirong Grace Yan

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In previous research on the nonlinear dynamics of cable-stayed bridges, boundary conditions were not properly modeled in the modeling. In order to obtain the nonlinear dynamics of cable-stayed bridges more accurately, a double-cable-stayed shallow-arch model with elastic supports at both ends and the initial configuration of bridge deck included in the modeling is developed in this study. The in-plane eigenvalue problems of the model are solved by dividing the shallow arch (SA) into three partitions according to the number of cables and the piecewise functions are taken as trial functions of the SA. Then, the in-plane one-to-one-to-one internal resonance among …

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Machine Learning Enabled Closed-Form Models To Predict Strength Of Alkali-Activated Systems, Taihao Han, Eslam Gomaa, Ahmed Gheni, Jie Huang, Mohamed Elgawady, Aditya Kumar Jun 2022

Machine Learning Enabled Closed-Form Models To Predict Strength Of Alkali-Activated Systems, Taihao Han, Eslam Gomaa, Ahmed Gheni, Jie Huang, Mohamed Elgawady, Aditya Kumar

Electrical and Computer Engineering Faculty Research & Creative Works

Alkali-activated mortar (AAM) is an emerging eco-friendly construction material, which can complement ordinary Portland cement (OPC) mortars. Prediction of properties of AAMs—albeit much needed to complement experiments—is difficult, owing to substantive batch-to-batch variations in physicochemical properties of their precursors (i.e., aluminosilicate and activator solution). In this study, a machine learning (ML) model is employed; and it is shown that the model—once trained and optimized—can reliably predict compressive strength of AAMs solely from their initial physicochemical attributes. Prediction performance of the model improves when multiple compositional descriptors of the aluminosilicate are combined into a singular, composite chemostructural descriptor (i.e., network ratio …

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Improving Interprofessional Environmental Health Education Using The Leave No One Behind Framework, Daniel B. Oerther, Sarah E. Oerther Jun 2022

Improving Interprofessional Environmental Health Education Using The Leave No One Behind Framework, Daniel B. Oerther, Sarah E. Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

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Wavelet Power And Shannon Entropy Applied To Acoustic Emission Signals For Corrosion Detection And Evaluation Of Reinforced Concrete, Jinrui Zhang, Ziye Kang, Dongshuai Hou, Biqin Dong, Hongyan Ma Jun 2022

Wavelet Power And Shannon Entropy Applied To Acoustic Emission Signals For Corrosion Detection And Evaluation Of Reinforced Concrete, Jinrui Zhang, Ziye Kang, Dongshuai Hou, Biqin Dong, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Acoustic emission (AE) signals detected from corrosion test on a steel reinforced concrete beam subjected to the coupling effects of corrosive wet-dry cycles and static load are analyzed by power spectral density, wavelet transform, and Shannon entropy. The degradation process of the corroded reinforced concrete beam can be divided into four stages on the basis of the accumulated event number (AEN). Due to the difference of material properties, steel reinforcement and concrete matrix have distinguished AE features. The time-frequency characteristics of AE signals can reflect the microstructural degradation mechanism of steel corrosion and concrete cracking. The corrosion evaluation entails investigating …

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Enhancement Of Cement Paste With Carboxylated Carbon Nanotubes And Poly(Vinyl Alcohol), Yuyang Zhao, Jinrui Zhang, Gang Qiao, Dongshuai Hou, Biqin Dong, Hongyan Ma May 2022

Enhancement Of Cement Paste With Carboxylated Carbon Nanotubes And Poly(Vinyl Alcohol), Yuyang Zhao, Jinrui Zhang, Gang Qiao, Dongshuai Hou, Biqin Dong, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Cement has been a major consumable material for construction in the world since its invention, but its low flexural strength is the main defect affecting the service life of structures. To adapt cement-based materials to a more stringent environment, carboxylated carbon nanotubes (CNTs-COOH) and poly(vinyl alcohol) (PVA) are proposed to enhance the mechanical properties of cement paste. This study systematically verifies the synergistic effect of CNTs-COOH/PVA on the performance of cement paste. First, UV-Vis spectroscopy and FTIR spectroscopy prove that CNTs-COOH can provide attachment sites for PVA and PVA can improve the dispersion and stability of CNTs-COOH in water, which …

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Casm-Amfmnet: A Network Based On Coordinate Attention Shuffle Mechanism And Asymmetric Multi-Scale Fusion Module For Classification Of Grape Leaf Diseases, Jiayu Suo, Jialei Zhan, Guoxiong Zhou, Aibin Chen, Yaowen Hu, Weiqi Huang, Weiwei Cai, Yahui Hu, Liujun Li May 2022

Casm-Amfmnet: A Network Based On Coordinate Attention Shuffle Mechanism And Asymmetric Multi-Scale Fusion Module For Classification Of Grape Leaf Diseases, Jiayu Suo, Jialei Zhan, Guoxiong Zhou, Aibin Chen, Yaowen Hu, Weiqi Huang, Weiwei Cai, Yahui Hu, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Grape disease is a significant contributory factor to the decline in grape yield, typically affecting the leaves first. Efficient identification of grape leaf diseases remains a critical unmet need. To mitigate background interference in grape leaf feature extraction and improve the ability to extract small disease spots, by combining the characteristic features of grape leaf diseases, we developed a novel method for disease recognition and classification in this study. First, Gaussian filters Sobel smooth de-noising Laplace operator (GSSL) was employed to reduce image noise and enhance the texture of grape leaves. A novel network designated coordinated attention shuffle mechanism-asymmetric multi-scale …

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Final Report - Climbing Robots With Automated Deployments Of Sensors And Nde Devices For Steel Bridge Inspection, Hung La, Son Nguyen May 2022

Final Report - Climbing Robots With Automated Deployments Of Sensors And Nde Devices For Steel Bridge Inspection, Hung La, Son Nguyen

Project AS-2

Automated solutions for infrastructure inspection are desirable. However, arduous engineering is delaying our progress. A complete system needs to deal with three main problems: (1) locomotive performance for high complexity of steel bridges including differential curvatures, transitions between beams and obstacles; (2) data collection capability, inclusive of visible and invisible damages, in-depth information such as vibration, coat, and material thickness, etc.; and (3) working condition made up of gust wind. To have such a complete system, this technical report presents novel developments in inspection-climbing robots. Four different robot versions are designed to look for the simplest and most effective configuration …

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