Engineering Commons^™

Using Electro-Peroxone Process To Remediate Soil Contaminated With Phenol, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad

Civil Engineering Faculty Publications and Presentations

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 …

A Parametric Study On The Energy Dissipation Capability Of Frictional Mechanical Metamaterials Engineered For Vibration Isolation, Shayan Khosravi, Mohsen Amjadian

Civil Engineering Faculty Publications and Presentations

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

Civil Engineering Faculty Publications and Presentations

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

Civil Engineering Faculty Publications and Presentations

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

Civil Engineering Faculty Publications and Presentations

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

Civil Engineering Faculty Publications and Presentations

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 …

Interdependencies Between Wildfire-Induced Alterations In Soil Properties, Near-Surface Processes, And Geohazards, Farshid Vahedifard, Masood Abdollahi, Ben A. Leshchinsky, Timothy D. Stark, Mojtaba Sadegh, Amir Aghakouchak

Civil Engineering Faculty Publications and Presentations

The frequency, severity, and spatial extent of destructive wildfires have increased in several regions globally over the past decades. While direct impacts from wildfires are devastating, the hazardous legacy of wildfires affects nearby communities long after the flames have been extinguished. Post-wildfire soil conditions control the persistence, severity, and timing of cascading geohazards in burned landscapes. The interplay and feedback between geohazards and wildfire-induced changes to soil properties, land cover conditions, and near-surface and surface processes are still poorly understood. Here, we synthesize wildfire-induced processes that can affect the critical attributes of burned soils and their conditioning of subsequent geohazards. …

Using Electro-Peroxone Process To Remediate Stabilized Clay, Elaheh Faghih Nasiri, Farhad Qaderi, S. Mustapha Rahmaninezhad

Civil Engineering Faculty Publications and Presentations

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 …

Towards Sustainability: A New Construction Method For Electrically Heated Rigid Pavement System, Mohamed Abdel-Raheem, Mohammad Anis

Civil Engineering Faculty Publications and Presentations

Snow and ice damage to U.S. airport pavements, particularly in colder regions, poses an ongoing challenge, resulting in significant annual economic losses. Traditional snow removal methods are often perceived as cost-prohibitive, driving the quest for cost-effective alternatives to mitigate the adverse impacts on pavement sustainability. In response, this research investigates an innovative construction approach utilizing an electrically conductive composite (ECC) comprised of waterborne polyurethane (WPU) and graphite (Gp). The ECC is applied to a portland cement concrete (PCC) substrate using the parallel stripe technique, safeguarded by an additional layer of conventional concrete to withstand the friction caused by tires. This …

Developing A Model To Predict Bleeding Areas In Asphalt Pavements Using Artificial Neural Network, Rami Khalifah, Mena I. Souliman, Pratik Lama, Omar Elbagalati

Civil Engineering Faculty Publications and Presentations

Bleeding can have a negative effect on the performance of a pavement, as the layer of asphalt on the surface can become slippery, reduce skid resistance, and lead to premature wear and tear. Therefore, predicting the bleeding area in asphalt pavements will help in maintaining better pavements, increasing the safety of the drivers, and delivering timely maintenance. The aim of the study is to develop a model using a highly sophisticated analysis tool called an artificial neural network (ANN) to predict the bleeding areas in asphalt pavements as output, with one hidden layer and several neurons and using several independent …

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 and Presentations

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 …

Statistical And Deep Learning Models For Reference Evapotranspiration Time Series Forecasting: A Comparison Of Accuracy, Complexity, And Data Efficiency, Arman Ahmadi, Andre Daccache, Mojtaba Sadegh, Richard L. Snyder

Civil Engineering Faculty Publications and Presentations

Reference evapotranspiration (ETo) is an essential variable in agricultural water resources management and irrigation scheduling. An accurate and reliable forecast of ETo facilitates effective decision-making in agriculture. Although numerous studies assessed various methodologies for ETo forecasting, an in-depth multi-dimensional analysis evaluating different aspects of these methodologies is missing. This study systematically evaluates the complexity, computational cost, data efficiency, and accuracy of ten models that have been used or could potentially be used for ETo forecasting. These models range from well-known statistical forecasting models like seasonal autoregressive integrated moving average (SARIMA) to state-of-the-art deep learning (DL) algorithms like temporal fusion transformer …

Comprehensive Analysis Of The Effects Of Superplasticizer Variation On The Workability And Strength Of Ready-Mix Concrete, Tahsin Tareque, Fahmid Tousif, Mirza Addaito Billah, Abdullah Al Masum Jabir, Seyedali Mirmotalebi

Civil Engineering Faculty Publications and Presentations

This experimental study aims to examine the influence of many crucial parameters on the workability and compressive strength of Ready-Mix Concrete (RMC). The study utilized two distinct varieties of superplasticizers obtained from the local market. The fine aggregates utilized in this study were sourced from Sylhet sand, whereas the coarse aggregates were comprised of boulder crushed stone chips. The experimental procedures adhered to the requirements outlined by ASTM. A comprehensive investigation was conducted on a range of concrete compositions that used diverse chemical admixtures. The slump test was performed at regular intervals of 15 minutes until the slump value reached …

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 and Presentations

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 …

Assessment Of The Mechanical And Durability Characteristics Of Bio-Mineralized Bacillus Subtilis Self-Healing Concrete Blended With Hydrated Lime And Brick Powder, Mohd Abu Bakr, Birendra Kumar Singh, Ahmed Farouk Deifalla, Shatrudhan Pandey, Ahmed Hussain, Sahir Sultan Alvi, S.M. Mozammil Hasnain

Civil Engineering Faculty Publications and Presentations

Highlights

• The present paper studied the effect of biomineralization on the properties of HBr concrete.

• Strength and durability properties are improved by calcite precipitation produced by bacteria.

• CaCO3 Precipitation was confirmed in the microstructure analysis through FESEM and EDS.

Abstract

Cement is the main constituent of the concrete structure. Using rejected brick as pozzolana in replacement of cement reduced the utilization of natural resources, conserved the environment, and controlled waste disposal. Hydrated lime has been utilized as a chemical additive to improve the pozzolanic reaction of finely ground waste brick particles. This research investigates the process of biomineralization to enhance …

Investigation Of The Effective Parameters On The Phenol Removal From The Groundwater By Response Surface Method, Khatereh Ahmadi, Farhad Qaderi, S. Mustapha Rahmaninezhad

Civil Engineering Faculty Publications and Presentations

The discharge of industrial waste containing organic pollutants like phenol has caused a surge in environmental complications in water, soil, and air. In recent years, the concentration of phenolic pollutants has risen due to their high toxicity and environmental persistence. This research used geotextile/activated carbon (GTX/AC) adsorbent to purify groundwater contaminated with phenol, owing to its easy availability. A low-cost geotextile carrier was utilized to avoid the dispersion of active carbon in the groundwater. Response surface method (RSM) was used in the present research to design and optimize experimental tests. The results indicate that the initial concentration, pH, and adsorbent …

Social Vulnerability Of The People Exposed To Wildfires In U.S. West Coast States, Arash Modaresi Rad, John T. Abatzoglou, Erica Fleishman, Miranda H. Mockrin, Volker C. Radeloff, Yavar Pourmohamad, Megan Cattau, J. Michael Johnson, Philip Higuera, Nicholas J. Nauslar, Mojtaba Sadegh

Civil Engineering Faculty Publications and Presentations

Understanding of the vulnerability of populations exposed to wildfires is limited. We used an index from the U.S. Centers for Disease Control and Prevention to assess the social vulnerability of populations exposed to wildfire from 2000–2021 in California, Oregon, and Washington, which accounted for 90% of exposures in the western United States. The number of people exposed to fire from 2000–2010 to 2011–2021 increased substantially, with the largest increase, nearly 250%, for people with high social vulnerability. In Oregon and Washington, a higher percentage of exposed people were highly vulnerable (>40%) than in California (~8%). Increased social vulnerability of …

Predicting University Campus Parking Demand Using Machine Learning Models, Sohil Paudel, Matthew Vechione, Okan Gurbuz

Civil Engineering Faculty Publications and Presentations

Parking demand at university campuses has been an issue for decades and is gradually increasing each year. With limited capacity, space, and funds to expand parking facilities, there is a dire need to better understand parking behavior on a university campus so that universities can better utilize the limited resources available. One methodology that has been used by Metropolitan Planning Organizations to predict traveler behavior is known as travel demand modeling, where the most common modeling technique is a four-step procedure that utilizes socioeconomic data to predict current and future traffic volumes in a network (e.g., a city). This study …

Shrinkage And Consolidation Characteristics Of Chitosan-Amended Soft Soil: A Sustainable Alternate Landfill Liner Material, Romana Mariyam Rasheed, Arif Ali Baig Moghal, Sai Sampreeth Reddy Jannepally, Ateekh Ur Rehman, Bhaskar C. S. Chittoori

Civil Engineering Faculty Publications and Presentations

Kuttanad is a region that lies in the southwest part of Kerala, India, and possesses soft soil, which imposes constraints on many civil engineering applications owing to low shear strength and high compressibility. Chemical stabilizers such as cement and lime have been extensively utilized in the past to address compressibility issues. However, future civilizations will be extremely dependent on the development of sustainable materials and practices such as the use of bio-enzymes, calcite precipitation methods, and biological materials as a result of escalating environmental concerns due to carbon emissions of conventional stabilizers. One such alternative is the utilization of biopolymers. …

Machine Learning-Enabled Regional Multi-Hazards Risk Assessment Considering Social Vulnerability, Tianjie Zhang, Donglei Wang, Yang Lu

Civil Engineering Faculty Publications and Presentations

The regional multi-hazards risk assessment poses difficulties due to data access challenges, and the potential interactions between multi-hazards and social vulnerability. For better natural hazards risk perception and preparedness, it is important to study the nature-hazards risk distribution in different areas, specifically a major priority in the areas of high hazards level and social vulnerability. We propose a multi-hazards risk assessment method which considers social vulnerability into the analyzing and utilize machine learning-enabled models to solve this issue. The proposed methodology integrates three aspects as follows: (1) characterization and mapping of multi-hazards (Flooding, Wildfires, and Seismic) using five machine learning …

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 and Presentations

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 …

Mapping Ecotourism Potential In Bangladesh: The Integration Of An Analytical Hierarchy Algorithm And Geospatial Data, Muhallil Abtahee, Afra Anika Islam, Md. Nazmul Haque, Hasan Zonaed, Samiha Mahzabin Ritu, S. M. Imdadul Islam, Atiq Zaman

Civil Engineering Faculty Publications and Presentations

The significance of ecotourism has been increasing due to its potential for biodiversity preservation, economic advancement, and the promotion of sustainability awareness. In this research, geospatial analysis and the Analytical Hierarchy Process (AHP) was employed to identify feasible ecotourism sites in Bangladesh. The study applied Geographical Information System–Remote Sensing (GIS-RS) parameters and weighted overlay techniques for selected ecotourism characteristics, such as natural attractiveness, topographic features, accessibility, proximity to facilities, and community characteristics. The study found that a significant proportion (around 44%) of Bangladesh’s land exhibits high potential for ecotourism. Cox’s Bazar, Chittagong, and Rangamati are particularly favorable ecotourism locations. However, …

Streamflow Reconstructions Using Tree-Ring-Based Paleo Proxies For The Sava River Basin (Slovenia), Glenn Tootle, Abdoul Oubeidillah, Emily Elliott, Giuseppe Formetta, Nejc Bezak

Civil Engineering Faculty Publications and Presentations

The Sava River Basin (SRB) extends across six countries (Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Albania, and Montenegro) and is a major tributary of the Danube River (DR). The Sava River (SR) originates in the alpine region of Slovenia, and, in support of a Slovenian government initiative to increase clean, sustainable energy, multiple hydropower facilities have been constructed within the past ~20 years. Given the importance of this river system for varying demands, including energy production, information about past (paleo) drought and pluvial periods would provide important information to water managers and planners. Seasonal (April–May–June–July–August–September—AMJJAS) streamflow data were obtained for …

Field Application Of A High-Power Density Electromagnetic Energy Harvester To Power Wireless Sensors In Transportation Infrastructures, Anil Agrawal, Mohsen Amjadian, Wai Yan Tun, Hani Nassif, Hongfan Wang

Civil Engineering Faculty Publications and Presentations

Finding an efficient source of energy has always been a big challenge for humans on Earth. Fossil fuels, such as coal and oil, have traditionally been considered as major sources of energy. These energy sources are not only nonrenewable but are also harmful to our health and environment. A large portion of this energy is consumed by vehicles moving daily in big cities, causing significant pollution of the environment. However, the motion of vehicles through the transportation infrastructures can also be a significant source of kinetic energy, which can be harvested to power transportation system components, such as sensors, street …

Machine-Learning-Based Model For Hurricane Storm Surge Forecasting In The Lower Laguna Madre, Cesar E. Davila Hernandez, Jungseok Ho, Dong-Chul Kim, Abdoul Oubeidillah

Civil Engineering Faculty Publications and Presentations

During every Atlantic hurricane season, storms represent a constant risk to Texan coastal communities and other communities along the Atlantic coast of the United States. A storm surge refers to the abnormal rise of sea water level due to hurricanes and storms; traditionally, hurricane storm surge predictions are generated using complex numerical models that require high amounts of computing power to be run, which grow proportionally with the extent of the area covered by the model. In this work, a machine-learning-based storm surge forecasting model for the Lower Laguna Madre is implemented. The model considers gridded forecasted weather data on …

Machine Learning Technique For Damage Detection Of Rails On Steel Railroad Bridges Subjected To Moving Train Load, Md Masnun Rahman, Mohsen Amjadian, Mahesh Pokhrel, Constantine Tarawneh

Civil Engineering Faculty Publications and Presentations

Rail is one of the key elements of the railway system, and its role is to transmit the wheel load to the track bed and guide the train cars along the track. Rail is susceptible to rolling contact fatigue and wear due to being repeatedly subjected to the moving load of the train. This can eventually result in broken-rail damage and train derailment, which if happens on a railroad bridge, it can severely damage the bridge, such as the structural failure of the Tempe Town Lake steel railroad bridge in July 2020 that costed $11 million to repair. Therefore, early …

Quantifying The Impact Of Reclaimed Asphalt Pavement On The Skid Resistance Of Surface Mixtures, Sheng Hu, Fujie Zhou, Tom Scullion, Emmanuel Fernando, Mena I. Souliman

Civil Engineering Faculty Publications and Presentations

Pavement skid resistance is critical for public safety, especially in wet-weather conditions. In Texas, as the population grows and the likelihood of wet-surface crashes and fatalities increases, the use of Surface Aggregate Classification A (SAC-A) aggregate has significantly increased each year to improve pavement skid resistance. Texas Department of Transportation specifications allow for the use of reclaimed asphalt pavement (RAP) to conserve natural resources and save costs. However, the impact of RAP on the skid resistance of the surface mixture was unknown or not quantitatively studied. Currently, all RAPs are categorized as Surface Aggregate Classification B aggregate in Texas. This …

Vibration Control Of A Two-Story Base-Isolated Building Using A New Tuned Mass Multi-Sliding Friction Damper, Mohsen Amjadian, Syed Muhammad Bilal Haider

Civil Engineering Faculty Publications and Presentations

This paper studies the use of a new Tuned Mass Multi-Sliding Friction Damper (TMMSFD) to increase the damping capacity of seismic isolators installed on a two-story base-isolated building to limit their lateral deformations. The proposed TMMSFD consists of a set of several masses that are laterally attached to the superstructure floor through linear springs. These masses are placed on top of each other one by one and are allowed to slide with respect to each other during the earthquake. The bottom mass that carries the weight of upper masses is in contact with the superstructure floor. The damping of system …

Analytical Method For Predicting Lateral Facing Deflection Of Geosynthetic-Reinforced Soil Abutment Walls, Thang Pham, S. Mustapha Rahmaninezhad, Andres Palma, Truc Phan, Thuy Vu

Civil Engineering Faculty Publications and Presentations

Geosynthetic-reinforced soil (GRS) walls have been recently used as bridge abutments to directly support spread footings on the reinforced soil mass. This application reduces the requirement for using traditional deep foundations, such as piles or drilled shafts, to support bridge beams. GRS abutment walls are generally subjected to high footing loads that are close to the wall facing. Although GRS abutment walls with modular block facing have been the subject of a number of studies, there are limited methods to predict the profile of the lateral facing deflections along the height of the GRS abutment walls. Lateral deflections along the …

Application Of Connected Vehicle Data To Assess Safety On Roadways, Mandar Khanal, Nathaniel Edelmann

Civil Engineering Faculty Publications and Presentations

Using surrogate safety measures is a common method to assess safety on roadways. Surrogate safety measures allow for proactive safety analysis; the analysis is performed prior to crashes occurring. This allows for safety improvements to be implemented proactively to prevent crashes and the associated injuries and property damage. Existing surrogate safety measures primarily rely on data generated by microsimulations, but the advent of connected vehicles has allowed for the incorporation of data from actual cars into safety analysis with surrogate safety measures. In this study, commercially available connected vehicle data are used to develop crash prediction models for crashes at …