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Articles 31 - 60 of 138
Full-Text Articles in Civil Engineering
Toward Sustainability: A New Construction Method For Electrically Heated Rigid Pavement Systems, Mohamed Abdel-Raheem, Mohammad Anis
Toward Sustainability: A New Construction Method For Electrically Heated Rigid Pavement Systems, Mohamed Abdel-Raheem, Mohammad Anis
Civil Engineering Faculty Publications
Damage caused by snow and ice to airport pavements in colder regions of the United States presents a persistent and economically significant challenge. This research explores an innovative construction method using an electrically conductive composite (ECC) composed of waterborne polyurethane and graphite powder (Gp). The ECC is applied to a Portland cement concrete substrate through a parallel stripe technique, using two types of “exposed” specimen. The study thoroughly examines the resistive heating performance of these specimens under various conditions, focusing on critical factors such as Gp concentrations in ECC, stripe thickness, spacing, and applied voltages. ECC was prepared with varying …
Construction Of Electrically Heated Pavement Using Recycled Waste Rubber Tires, Islam M. Radwan, Mohamed Abdel-Raheem
Construction Of Electrically Heated Pavement Using Recycled Waste Rubber Tires, Islam M. Radwan, Mohamed Abdel-Raheem
Civil Engineering Faculty Publications
Accumulated snow on roads presents a dual risk of accidents and financial losses. Conventional de-icing methods, which rely on chemicals, salt, and heavy machinery, are unsustainable and detrimental to both the environment and infrastructure. Furthermore, they demand significant labor and pose hazards in densely populated areas. In response, heated pavement systems such as hydronic and electrically conductive concrete (ECON) have gained traction for mitigating snow accumulation on roads. However, the use of carbon fiber and carbon black in ECON raises costs and depletes valuable resources. This research introduces an inventive and sustainable approach to address snow accumulation on rigid pavements …
Modeling, Design, And Laboratory Testing Of A Passive Friction Seismic Metamaterial Base Isolator (Pfsmbi), Shayan Khosravi, Mohsen Amjadian
Modeling, Design, And Laboratory Testing Of A Passive Friction Seismic Metamaterial Base Isolator (Pfsmbi), Shayan Khosravi, Mohsen Amjadian
Civil Engineering Faculty Publications
This paper focuses on the theoretical and analytical modeling of a novel seismic isolator termed the Passive Friction Mechanical Metamaterial Seismic Isolator (PFSMBI) system, which is designed for seismic hazard mitigation in multi-story buildings. The PFSMBI system consists of a lattice structure composed of a series of identical small cells interconnected by layers made of viscoelastic materials. The main function of the lattice is to shift the fundamental natural frequency of the building away from the dominant frequency of earthquake excitations by creating low-frequency bandgaps (FBGs) below 20 Hz. In this configuration, each unit cell contains an inner resonator that …
Using Electro-Peroxone Process To Remediate Soil Contaminated With Phenol, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad
Using Electro-Peroxone Process To Remediate Soil Contaminated With Phenol, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad
Civil Engineering Faculty Publications
Industrial processes are among human activities that cause production of a large volume of wastewater containing organic pollutants such as phenol and its derivatives. Soil remediation is crucial for enhancing environmental quality for both humans and other living organisms. This study investigate the use of an electro-peroxone system to remove environmental pollutants from soil. In conjunction with ozonation, the study employed electrochemically generated hydrogen peroxide using a carbon electrode, addressing concerns about transportation and storage. Experiments were structured using response surface methodology (RSM) with three variables: ozone dosages ranging from 4 to 8 l/h, initial pollutant concentrations from 20 to …
Experimental And Simulation Of Compression After Impact (Cai) Tests For Thermoplastic Composite Materials, M. M. Shahzamanian, Sydney Houck, Li Ai, Md Mushfiqur Rahman Fahim, Sourav Banerjee, Wout De Backer, Paul Ziehl
Experimental And Simulation Of Compression After Impact (Cai) Tests For Thermoplastic Composite Materials, M. M. Shahzamanian, Sydney Houck, Li Ai, Md Mushfiqur Rahman Fahim, Sourav Banerjee, Wout De Backer, Paul Ziehl
Civil Engineering Faculty Publications
Damage caused by low velocity impacts in composite materials may go undetected, resulting in significant damage being unnoticeable. This phenomenon has been studied using experiments and simulations on a typical composite material, Toray T1225 LM-PAEK UD Tape, following impacts with varying energy levels. To the authors’ knowledge, there is a lack of information on thermoplastics and compression after impact (CAI) in the publicly available literature, and there have been insufficient results and discussions regarding CAI tests on thermoplastic composite materials at the relatively high levels of impact used, especially with the rise in the use of thermoplastic materials for the …
Enhanced Wind Velocity Imputation Near Building Structures Using Advanced Machine Learning Techniques, Istiak Ahammed, Sujeen Song, Gang Hu, Jinwoo An, Bubryur Kim
Enhanced Wind Velocity Imputation Near Building Structures Using Advanced Machine Learning Techniques, Istiak Ahammed, Sujeen Song, Gang Hu, Jinwoo An, Bubryur Kim
Civil Engineering Faculty Publications
The evaluation of instantaneous wind flow patterns nearest to building architecture is crucial to ensuring structural stability, architectural integrity, and pedestrian safety. Particle image velocimetry (PIV), a technique for studying fluid flow by tracing particles, provides accurate predictions of instantaneous wind velocities (IWV). However, PIV encounters challenges in specific regions due to laser light-based experimentation, leading to missing data. Consequently, investigating the wind circulation pattern around buildings becomes more challenging. Numerous ML techniques have been employed to impute missing wind velocities at random building locations with minimal structural impact. This paper focuses on addressing this concern by utilizing a machine …
Real-Time Assessment Of Rebar Intervals Using A Computer Vision-Based Dvnet Model For Improved Structural Integrity, Bubryur Kim, Sri Preethaa K.R., Yuvaraj Natarajan, Danushkumar V., Jinwoo An, Dong-Eun Lee
Real-Time Assessment Of Rebar Intervals Using A Computer Vision-Based Dvnet Model For Improved Structural Integrity, Bubryur Kim, Sri Preethaa K.R., Yuvaraj Natarajan, Danushkumar V., Jinwoo An, Dong-Eun Lee
Civil Engineering Faculty Publications
Structural durability is critical for building and civil engineering safety, wherein the arrangement and distribution of reinforcing bar (rebar) is crucial. Improperly aligned rebar impacts bearing capacity, whereas uniform spacing optimally distributes loads, reducing stress. We introduce a computer-vision based Deep Vision Net (DVNet) model for real-time evaluation of rebar placement. A customized dataset is prepared in an environmental setup and augmented to address overfitting issues. This research conducts a comparative analysis of the learning performance exhibited by the proposed DVNet model against several other pre-trained models, such as Mask-RCNN and YOLOv5. The proposed DVNet model is built on a …
A Review Of Geopolymer Binder As A Grouting Material, Karla Sierra, Jinwoo An, Ryan Shamet, Jiannan Chen, Yong Je Kim, Boo Hyun Nam, Philip Park
A Review Of Geopolymer Binder As A Grouting Material, Karla Sierra, Jinwoo An, Ryan Shamet, Jiannan Chen, Yong Je Kim, Boo Hyun Nam, Philip Park
Civil Engineering Faculty Publications
The utilization of geopolymer as a grouting material has gained significant attention in research and construction applications. Geopolymer grout is a type of binding material that differs from traditional grouts, typically based on Portland cement. Researchers have explored its effectiveness and potential applications in grouting processes, considering its unique properties and characteristics. In this paper, various studies employing and utilizing geopolymer as a grouting material are reviewed. The emphasis is on mixture design of geopolymer grout, physical property, chemical composition of geopolymer grout, rheological behavior of geopolymer grout such as yield stress (in case of Bingham fluid) and viscosity, and …
Rail Anchor Slip Force Testing, S. Mustapha Rahmaninezhad, Constantine Tarawneh, Arturo A. Fuentes, David Vera, Jorge Encinia
Rail Anchor Slip Force Testing, S. Mustapha Rahmaninezhad, Constantine Tarawneh, Arturo A. Fuentes, David Vera, Jorge Encinia
Civil Engineering Faculty Publications
Continuous welded rail (CWR) is increasingly adopted to replace jointed track due to its superior ride quality, extended fatigue life, and reduced maintenance costs. However, the absence of joints introduces challenges, such as thermal expansion-related track buckling. Maintaining the Rail Neutral Temperature (RNT) is essential for managing rail stresses and preventing these failures. Rail anchors are employed to distribute loads from rails to ties. The rail anchors enhance longitudinal track resistance by minimizing the rail’s longitudinal movement. These anchors are crucial for managing the RNT, ultimately contributing to the prevention of rail buckling and the reinforcement of the track structure. …
Influence Of Plastic Coating Temperature On Recycled Concrete Brick Coarse Aggregate, Jamil Ahmed Joy, Chowdhury Zubayer Bin Zahid, S. M. Imdadul Islam
Influence Of Plastic Coating Temperature On Recycled Concrete Brick Coarse Aggregate, Jamil Ahmed Joy, Chowdhury Zubayer Bin Zahid, S. M. Imdadul Islam
Civil Engineering Faculty Publications
The generation of waste from the demolition of old structures poses a significant environmental challenge. Recycling these materials as aggregates in concrete offers a potential alleviation of environmental impact. While recycled aggregates offer promise as a remedy, they are not without drawbacks. However, innovative approaches have been developed to overcome these limitations. Among these, plastic coating stands out as a particularly sustainable solution. This study investigates the influence of plastic coating temperature on recycled concrete brick aggregates (RCBA), which serve as coarse aggregates. The RCBA were coated with locally sourced polyethylene terephthalate (PET) at varying temperatures, such as 250 °C, …
Internet Of Things And Ensemble Learning-Based Mental And Physical Fatigue Monitoring For Smart Construction Sites, Bubryur Kim, Sri Preethaa K. R., Sujeen Song, R R. Lukacs, Jinwoo An, Zengshun Chen, Euijung An, Sungho Kim
Internet Of Things And Ensemble Learning-Based Mental And Physical Fatigue Monitoring For Smart Construction Sites, Bubryur Kim, Sri Preethaa K. R., Sujeen Song, R R. Lukacs, Jinwoo An, Zengshun Chen, Euijung An, Sungho Kim
Civil Engineering Faculty Publications
The construction industry substantially contributes to the economic growth of a country. However, it records a large number of workplace injuries and fatalities annually due to its hesitant adoption of automated safety monitoring systems. To address this critical concern, this study presents a real-time monitoring approach that uses the Internet of Things and ensemble learning. This study leverages wearable sensor technology, such as photoplethysmography and electroencephalography sensors, to continuously track the physiological parameters of construction workers. The sensor data is processed using an ensemble learning approach called the ChronoEnsemble Fatigue Analysis System (CEFAS), comprising deep autoregressive and temporal fusion transformer …
A Thermo-Mechanical Analysis Of The Well-Structure Integrity In Enhanced Geothermal Systems Using Numerical Simulation, John Alfred Ganal Acevedo
A Thermo-Mechanical Analysis Of The Well-Structure Integrity In Enhanced Geothermal Systems Using Numerical Simulation, John Alfred Ganal Acevedo
Theses and Dissertations
This thesis will investigate the well structure integrity of enhanced geothermal systems. Enhanced geothermal system is a type of renewable energy generation that utilizes heat from a rock reservoir deep within the Earth’s subsurface delivered by circulating working fluids through kilometers-long well structures. However, due to the surrounding environment and harsh operating conditions, the well structures are vulnerable to deterioration and cracking, which can lead to structural failure of wells and reduced energy efficiency. The study seeks to gain a better understanding of the vulnerability of the well structure. A finite element model of a well structure was developed, and …
Application Of Electrical Impedance Tomography To Cementitious Composites, Hugo Zazueta
Application Of Electrical Impedance Tomography To Cementitious Composites, Hugo Zazueta
Theses and Dissertations
This thesis explores the feasibility of using Electrical Impedance Tomography (EIT) for detecting damage in cementitious composites. Cementitious composites, such as concrete and cement mortar, are insulating; any conductive properties arise from the moisture within their pores and capillary structures. The proposed concept herein is that formed internal damages in cementitious composites consequently alter their pore and capillary structure, which can then be detected through EIT imaging. To construct tomographic images, the Gaussian Newton (GN) reconstruction algorithm, enhanced with priors, was employed. The results were then compared across different reconstruction processes. Cylindrical cement pastes and cement mortar samples were prepared, …
Delineating Ground Subsidence And Flood Risk In Southeast Texas (Setx) Using Ps-Insar And Deep Learning, Arip Syaripudin Nur, Jinwoo An, Yong Je Kim
Delineating Ground Subsidence And Flood Risk In Southeast Texas (Setx) Using Ps-Insar And Deep Learning, Arip Syaripudin Nur, Jinwoo An, Yong Je Kim
Civil Engineering Faculty Publications
This study investigates ground subsidence and its impact on flood risk in Southeast Texas (SETX), a region particularly susceptible to inundation due to rising sea levels and subsidence. Understanding subsidence patterns is crucial for geotechnical risk management and ground-use planning. Employing Persistent Scatterer Interferometry (PS-InSAR) with Sentinel-1 SAR data (2020-2023), the study delineates the spatiotemporal distribution of subsidence and its influence on flooding. PS-InSAR, wellsuited for urban areas, captures stable scatterers detected by SAR satellites, enabling detailed subsidence analysis. Time series analysis reveals subsidence evolution and its implications for flood risk management. Validation utilizes strategically placed GPS station data. Furthermore, …
On The Role Of Perceived Safety Concerns On Public Acceptance Behavior Of Autonomous Vehicles, Fatemeh Nazari, Mohamadhossein Noruzoliaee, The University Of Texas Rio Grande Valley
On The Role Of Perceived Safety Concerns On Public Acceptance Behavior Of Autonomous Vehicles, Fatemeh Nazari, Mohamadhossein Noruzoliaee, The University Of Texas Rio Grande Valley
Civil Engineering Faculty Publications
Despite maturing road tests and limited commercial mobility services with autonomous vehicles (AVs), the existing behavioral research, surveys, and polls suggest that, to date, the public is largely reluctant or neutral to accept this emerging technology due to potential lurking failures and malfunctions in unexpected weather/road conditions and cyber-attacks. The persistence of this demand landscape for AVs could curb the promising economic, societal, and environmental benefits of prevalent autonomous mobility. Proactive policy interventions are thus much needed early on to provide impetus for AV acceptance, which should be informed by an in-depth understanding of the AV acceptance behavior of the …
Enhancing Traffic Safety And Connectivity: A Data-Driven Multi-Step-Ahead Vehicle Headway Prediction Leveraging High-Resolution Vehicular Trajectories, Mohamadhossein Noruzoliaee, Fatemeh Nazari, The University Of Texas Rio Grande Valley
Enhancing Traffic Safety And Connectivity: A Data-Driven Multi-Step-Ahead Vehicle Headway Prediction Leveraging High-Resolution Vehicular Trajectories, Mohamadhossein Noruzoliaee, Fatemeh Nazari, The University Of Texas Rio Grande Valley
Civil Engineering Faculty Publications
Vehicle headway, defined as the time elapsed between two successive vehicles passing a roadway point, is a key mesoscopic-scale measure in traffic flow theory with safety-critical transportation applications, such as preemptive collision avoidance warning systems as well as connected and autonomous vehicle (CAV) platoon control. Hence, it is crucial to accurately predict vehicle headway over sufficiently long future horizons (i.e., multi-step-ahead prediction) to be applicable for downstream safety-critical applications. This is a challenging task due to several random factors influencing headway, including inter- and intra-driver heterogeneity, asymmetric car-following driving behavior, and vehicle heterogeneity under mixed traffic of different vehicle classes. …
Ai-Enabled Vibration Sensing System For Early Detection Of Trains At Active Highway-Rail Grade Crossings, Mohsen Amjadian, Md. Masnun Rahman, Constantine Tarawneh, Valik Villarreal, Dylan Rocha
Ai-Enabled Vibration Sensing System For Early Detection Of Trains At Active Highway-Rail Grade Crossings, Mohsen Amjadian, Md. Masnun Rahman, Constantine Tarawneh, Valik Villarreal, Dylan Rocha
Civil Engineering Faculty Publications
Highway-rail grade crossings (HRGCs) play an essential role in ensuring the secure traversal of road users across railway tracks. However, despite their significance, they present safety challenges, particularly when trains go undetected, heightening the risk of potential collisions between the road user and train. This paper aims to explore the viability of employing vibration sensors for detection and characterization of an approaching train’s speed at HRGCs. The methodology involves analyzing rail vibrations and developing a time series predictive machine learning (ML) model. To accomplish this, a Finite Element (FE) model of a ballasted track railway is created in SAP2000, consisting …
Structural Fiber Mesh Reinforcement Of A Polymeric Heart Valve: Improving Valve Durability And Leaflet Closure Effectiveness, Peter J. Choi, Hugo Zazueta, John A. Acevedo, Philip Park
Structural Fiber Mesh Reinforcement Of A Polymeric Heart Valve: Improving Valve Durability And Leaflet Closure Effectiveness, Peter J. Choi, Hugo Zazueta, John A. Acevedo, Philip Park
Civil Engineering Faculty Publications
Objective: Bioprosthetic valves using either porcine or bovine pericardium have been widely used for transcatheter heart valve replacements. However, producing bioprosthetic valves is not a sustainable solution. Acquiring animal tissue is often not readily available and costly and requires time-consuming modifications. Moreover, its primary tissue failure requires reoperation after roughly 15 years. The suggested replacement of porcine and bovine leaflets with biocompatible polymers appears to be an attractive alternative to bioprosthetic valves. In this study, engineered fiber-reinforced polymers were developed, which are less degenerative and offer greater hemocompatibility in relation to mechanical valves.
Methods: Polydimethylsiloxane (PDMS) polymer reduces calcification significantly …
Machine Learning Predictive Models For Load Identification Of Railroad Bridges Subjected To Train-Induced Vibration, Md Masnun Rahman
Machine Learning Predictive Models For Load Identification Of Railroad Bridges Subjected To Train-Induced Vibration, Md Masnun Rahman
Theses and Dissertations
The U.S. rail network is among the world's largest, safest, and most efficient. However, many its railway bridges, which play an essential role in its connectivity, are over 100 years old, showing signs of structural deterioration exceeding their practical service life. The increased weight and speed of modern trains also pose a risk to these bridges. Traditional load identification and monitoring technologies like Weigh-in-Motion (WIM) systems are rarely used on railway bridges due to their cost and practical limits. This thesis explores a cost-effective approach to utilize vibration sensors on railway bridges to identify and predict train load features (speed …
Numerical Study Of New Tuned Mass Friction Damper For Seismic Protection Of Civil Structures, Syed Muhammad Bilal Haider
Numerical Study Of New Tuned Mass Friction Damper For Seismic Protection Of Civil Structures, Syed Muhammad Bilal Haider
Theses and Dissertations
Tuned Mass Friction Dampers (TMFDs) are passive control systems designed to mitigate vibrations in civil structures subjected to extreme lateral forces such as windstorms and earthquakes. The objective of this thesis is to propose a new TMFDs with enhanced energy dissipation capability for seismic protection of multi-story frame buildings. This new TMFD is termed as “Tuned Mass Multi-Sliding Friction Damper” (TMMSFD) consisting of multiple masses connected to the primary structure through linear springs and while sliding relative to each other at multiple sliding surfaces. TMMSFD offers an improved damping mechanism with reduced stick-slip motion effects compared to standard TMFDs which …
A Parametric Study On The Energy Dissipation Capability Of Frictional Mechanical Metamaterials Engineered For Vibration Isolation, Shayan Khosravi, Mohsen Amjadian
A Parametric Study On The Energy Dissipation Capability Of Frictional Mechanical Metamaterials Engineered For Vibration Isolation, Shayan Khosravi, Mohsen Amjadian
Civil Engineering Faculty Publications
Mechanical metamaterials are engineered structures with complex geometric arrangements that display unconventional mechanical properties which are uncommon in traditional materials. They possess the ability to manipulate and control mechanical wave propagation across specific frequency ranges known as frequency bandgaps. This feature makes them extremely useful for a variety of applications in structural control including passive vibration isolation. These materials can be engineered to selectively block or redirect the input motion at their dominant frequency while allowing the transmission of motion at other frequencies. This paper aims to study the dynamic performance of an innovative mechanical metamaterial designed for seismic isolation …
A Review Of Electrically Conductive Cement Concrete Pavement For Sustainable Snow-Removal And Deicing: Road Safety In Cold Regions, Mohammad Anis, Mohamed Abdel-Raheem
A Review Of Electrically Conductive Cement Concrete Pavement For Sustainable Snow-Removal And Deicing: Road Safety In Cold Regions, Mohammad Anis, Mohamed Abdel-Raheem
Civil Engineering Faculty Publications
Within cold U.S. regions, winter storms can cause interruptions in transportation networks, affecting transportation entities’ revenue streams. Conventional snow-removal methods on roadways efficiently remove snow and ice, yet their adverse environmental impacts further make winter maintenance more challenging. In response to these concerns, electrically conductive cement concrete (ECCC) pavement has become an effective alternative for deicing and snow melting on road surfaces. ECCC utilizes the Joule heating principles to effectively melt snow and ice by incorporating conductive elements into conventional concrete. This paper comprehensively reviews the current literature on ECCC pavement. Previous studies have diligently explored various aspects of ECCC …
Real-Time Vehicle And Lane Detection Using Modified Overfeat Cnn: A Comprehensive Study On Robustness And Performance In Autonomous Driving, Monowar Hossain Saika, Sonjoy Paul Avi, Kazi Toriqul Islam, Tanjida Tahmina, Md Shahriar Abdullah, Touhid Imam
Real-Time Vehicle And Lane Detection Using Modified Overfeat Cnn: A Comprehensive Study On Robustness And Performance In Autonomous Driving, Monowar Hossain Saika, Sonjoy Paul Avi, Kazi Toriqul Islam, Tanjida Tahmina, Md Shahriar Abdullah, Touhid Imam
Civil Engineering Faculty Publications
This examination researches the use of profound learning methods, explicitly utilizing Convolutional Brain Organizations (CNNs), for ongoing recognition of vehicles and path limits in roadway driving situations. The study investigates the performance of a modified Over Feat CNN architecture by making use of a comprehensive dataset that includes annotated frames captured by a variety of sensors, including cameras, LIDAR, radar, and GPS. The framework shows heartiness in identifying vehicles and anticipating path shapes in 3D while accomplishing functional rates of north of 10 Hz on different GPU setups. Vehicle bounding box predictions with high accuracy, resistance to occlusions, and efficient …
Forecasting Future Research Trends In The Construction Engineering And Management Domain Using Machine Learning And Social Network Analysis, Gasser G. Ali, Islam H. El-Adaway, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef
Forecasting Future Research Trends In The Construction Engineering And Management Domain Using Machine Learning And Social Network Analysis, Gasser G. Ali, Islam H. El-Adaway, Muaz O. Ahmed, Radwa Eissa, Mohamad Abdul Nabi, Tamima Elbashbishy, Ramy Khalef
Civil Engineering Faculty Publications
Construction Engineering and Management (CEM) is a broad domain with publications covering interrelated subdisciplines and considered a key source of knowledge sharing. Previous studies used scientometric methods to assess the current impact of CEM publications; however, there is a need to predict future citations of CEM publications to identify the expected high-impact trends in the future and guide new research efforts. To tackle this gap in the literature, the authors conducted a study using Machine Learning (ML) algorithms and Social Network Analysis (SNA) to predict CEM-related citation metrics. Using a dataset of 93,868 publications, the authors trained and tested two …
Improvement Of Subgrade California Bearing Ratio (Cbr) Using Recycled Concrete Aggregate And Fly Ash, Safkat Tajwar Ahmed, Mozaher Ul Kabir, Chowdhury Zubayer Bin Zahid, Tahsin Tareque, Seyedali Mirmotalebi
Improvement Of Subgrade California Bearing Ratio (Cbr) Using Recycled Concrete Aggregate And Fly Ash, Safkat Tajwar Ahmed, Mozaher Ul Kabir, Chowdhury Zubayer Bin Zahid, Tahsin Tareque, Seyedali Mirmotalebi
Civil Engineering Faculty Publications
The study aims to understand the effect of different admixtures on improving the quality of flexible pavement subgrades. In this paper, recycled concrete aggregates (RCA) and Fly Ash were used as the admixtures in improving the maximum dry density (MDD), swelling potential, and California bearing ratio (CBR) of subgrade soil. The percentages of RCA and fly Ash used were 5%, 10%, and 15%. With the upscaling in fly ash dosage, the optimum moisture content and the California bearing ratio increased. However, the MDD of soil decreased for higher fly ash contents. On the contrary, the optimum moisture content (OMC) of …
Electric Vehicle Adoption Behavior And Vehicle Transaction Decision: Estimating An Integrated Choice Model With Latent Variables On A Retrospective Vehicle Survey, Fatemeh Nazari, Mohamadhossein Noruzoliaee, Abolfazl (Kouros) Mohammadian
Electric Vehicle Adoption Behavior And Vehicle Transaction Decision: Estimating An Integrated Choice Model With Latent Variables On A Retrospective Vehicle Survey, Fatemeh Nazari, Mohamadhossein Noruzoliaee, Abolfazl (Kouros) Mohammadian
Civil Engineering Faculty Publications
Electric vehicles (EVs) promise a sustainable solution to mitigating negative emission externalities of transportation systems caused by fossil-fueled conventional vehicles (CVs). While recent developments in battery technology and charging infrastructure can help evolve the niche market of EVs into the mass market, EVs are yet to be widely adopted by the public. This calls for an in-depth understanding of public adoption behavior of EVs as one dimension of vehicle decision making, which itself may be intertwined with other vehicle decision-making dimensions, especially vehicle transaction. This study presents an integrated choice model with latent variables (ICLV) to investigate households’—as a decision-making …
Distributed Solar Generation: Current Knowledge And Future Trends, Gasser G. Ali, Islam H. El-Adaway
Distributed Solar Generation: Current Knowledge And Future Trends, Gasser G. Ali, Islam H. El-Adaway
Civil Engineering Faculty Publications
Distributed solar generation (DSG) has been growing over the previous years because of its numerous advantages of being sustainable, flexible, reliable, and increasingly affordable. DSG is a broad and multidisciplinary research field because it relates to various fields in engineering, social sciences, economics, public policy, and others. Developing a holistic understanding of the state of research related to DSG can be difficult. Motivated to provide that understanding, the goal of this paper is to explore current and emerging multidisciplinary research trends associated with DSG. To achieve that, (1) a large data set of approximately 66,000 publications was collected; (2) the …
Using Electro-Peroxone Process To Remediate Stabilized Clay, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad
Using Electro-Peroxone Process To Remediate Stabilized Clay, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad
Civil Engineering Faculty Publications
Industrial processes are among human activities that cause the production of a large volume of wastewater containing organic pollutants such as phenol and its derivatives. These pollutants are among the substances that are considered a serious threat to the health of the environment, soil and humans. Soil remediation is crucial for enhancing environmental quality for both humans and other living organisms. This study investigated the use of an electro-peroxone system to remove environmental pollutants from soil. In conjunction with ozonation, the study employed electrochemically generated hydrogen peroxide using a carbon electrode, addressing concerns about transportation and storage. Experiments were structured …
Development Of A New Type Of Air-Barrier Slabs To Mitigate The Thermal Bridging Activity, Md Asfaq Hafiz, Md Ashiqul Islam, Sk Md Imdadul Islam, Md Shoriful Islam
Development Of A New Type Of Air-Barrier Slabs To Mitigate The Thermal Bridging Activity, Md Asfaq Hafiz, Md Ashiqul Islam, Sk Md Imdadul Islam, Md Shoriful Islam
Civil Engineering Faculty Publications
Flat concrete roofs, a common global roofing system, are particularly susceptible to high temperatures during summer due to extended sun exposure. This often results in increased indoor temperatures on top floors, leading to a significant rise in cooling costs - a concern with both individual and national economic implications. Despite available solutions, like insulation, the cost of implementation postconstruction can be prohibitive. This is especially true in South Asia, where vast urban areas consist predominantly of concrete structures and comprehensive heat control measures are seldom in place. Heat absorption by a top floor is influenced by factors such as seasonal …
Vehicle-Bridge Interaction Simulation And Damage Identification Of A Bridge Using Responses Measured In A Passing Vehicle By Empirical Mode Decomposition Method, Shohel Rana, Md. Rifat Zaman, Md. Ibrahim Islam Ifty, Seyedali Mirmotalebi, Tahsin Tareque
Vehicle-Bridge Interaction Simulation And Damage Identification Of A Bridge Using Responses Measured In A Passing Vehicle By Empirical Mode Decomposition Method, Shohel Rana, Md. Rifat Zaman, Md. Ibrahim Islam Ifty, Seyedali Mirmotalebi, Tahsin Tareque
Civil Engineering Faculty Publications
To prevent early bridge failures, effective Structural Health Monitoring (SHM) is vital. Vibration-based damage assessment is a powerful tool in this regard, as it relies on changes in a structure’s dynamic characteristics as it degrades. By measuring the vibration response of a bridge due to passing vehicles, this approach can identify potential structural damage. This dissertation introduces a novel technique grounded in Vehicle-Bridge Interaction (VBI) to evaluate bridge health. It aims to detect damage by analyzing the response of passing vehicles, taking into account VBI. The theoretical foundation of this method begins with representing the bridge’s superstructure using a Finite …