Civil and Environmental Engineering Commons^™

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 …

A Comprehensive Study On The Impact Of Human Hair Fiber And Millet Husk Ash On Concrete Properties: Response Surface Modeling And Optimization, Naraindas Bheel, Muhammad Alamgeer Shams, Samiullah Sohu, Abdul Salam Buller, Taoufik Najeh, Fouad Ismail Ismail, Omrane Benjeddou

Department of Civil and Environmental Engineering: Faculty Publications

Revolutionizing construction, the concrete blend seamlessly integrates human hair (HH) fibers and millet husk ash (MHA) as a sustainable alternative. By repurposing human hair for enhanced tensile strength and utilizing millet husk ash to replace sand, these materials not only reduce waste but also create a durable, eco-friendly solution. This groundbreaking methodology not only adheres to established structural criteria but also advances the concepts of the circular economy, representing a significant advancement towards environmentally sustainable and resilient building practices. The main purpose of the research is to investigate the fresh and mechanical characteristics of concrete blended with 10–40% MHA as …

Assessment For Sustainable Transportation Systems In Egypt, Hagar Mohamed Fares

Theses and Dissertations

The assessment of a sustainable transportation system poses a significant challenge for local governments, as it dramatically influences the promotion of environmentally friendly modes of transportation with the objective of safeguarding the public's welfare and health in their daily activities. The integration of such assessment should be implemented from the initial stages of system planning to its operational and maintenance phases, particularly in light of the increasing number of urban development activities nationwide. In order to facilitate decision-making processes, it is imperative to establish an efficient rating system that incorporates cultural and social constraints and comprehensively considers the three dimensions …

A Machine Learning Framework For Predicting Fabrication Hours For Industrial Steel Structure Projects, Dalia Ibrahim

Theses and Dissertations

Construction projects are considered high risk projects especially due to their required large capital making them require extreme attention in estimation as overestimating a project will lead to losing bids and underestimating them will lead to incurring more costs than budgeted resulting in losses. However, estimators are often faced with very tight timelines to finish their estimates leading them to primarily rely on their experience disregarding some crucial factors resulting in inaccurate estimates. In the steel structures industry, the steel fabrication phase accounts for 30 to 40% of the overall project cost; in addition, the steel industry is labor driven; …

Remote Vibration Based Monitoring Of Bridge Scour, Alan Kazemian

Dissertations

The gradual erosion of the sediment around a bridge foundation is called Scour. This erosion is caused by water flow and increases during times of high-water flow such as flooding. The scour leaves the bridges structurally unsound over time and jeopardizes the safety of the structure. Approximately 60 percent of bridge failures in the United States are caused by scour. A variety of types of devices have been used to detect scour. Most of these devices only observe the scour and not the structural integrity of the bridge. The typical approach has relied on visual inspections of the bridges after …

Spatiotemporal Insights Into Ranya's Land-Use Transformation Using Time-Series Imagery, Kaifi Chomani, Shwana Braim Hassan Manguri

Polytechnic Journal

Integration of GIS and remote sensing is a powerful source for implementing temporal analysis. The focus of this paper was to use Landsat 5 and 8 imageries to monitor changes in the Ranya city throughout five time periods (2000, 2005, 2010, 2015, and 2020). Image classification was done using iso cluster unsupervised classification tool via ArcGIS. To calculate the kappa coefficient and assess the accuracy, random points of the outcome were compared with ground truth data using Google Earth Pro, which produced highly accurate results. According to this study, the Ranya city had the highest proportion of green space (52%) …

Implications Of The Covid-19 Pandemic On The Management Of Municipal Solid Waste And Medical Waste: A Comparative Review Of Selected Countries, Ahmed Osama Daoud Dr., Hoda Elattar Eng., Gaber Abdelatif Eng., Karim M. Morsy, Robert W. Peters, Mohamed K. Mostafa Dr.

Civil Engineering

No abstract provided.

Autonomous Image-Based Corrosion Detection In Steel Structures Using Deep Learning, Amrita Das, Sattar Dorafshan, Naima Kaabouch

Civil Engineering Faculty Publications

Steel structures are susceptible to corrosion due to their exposure to the environment. Currently used non-destructive techniques require inspector involvement. Inaccessibility of the defective part may lead to unnoticed corrosion, allowing the corrosion to propagate and cause catastrophic structural failure over time. Autonomous corrosion detection is essential for mitigating these problems. This study investigated the effect of the type of encoder–decoder neural network and the training strategy that works the best to automate the segmentation of corroded pixels in visual images. Models using pre-trained DesnseNet121 and EfficientNetB7 backbones yielded 96.78% and 98.5% average pixel-level accuracy, respectively. Deeper EffiecientNetB7 performed the …

Gender-Based Service Quality Evaluation Of Multimodal Public Transportation In Dki Jakarta, Mohammad Owais, Jachrizal Sumabrata, Nahry Yusuf

Smart City

In DKI Jakarta, despite the extensive infrastructure development, there has been a significant decline in the usage of public transportation. This can be attributed to the inadequate quality of the services provided. Various studies have highlighted the significance of evaluating the quality of service in public transportation to ensure passenger satisfaction and attract new users. However, there is no agreement on the most effective methodology and suitable indicators for conducting such analyses. In addition, there is a growing recognition of the importance of promoting gender equality in multimodal public transportation (MMPT) and understanding gender differences and perceptions of MMPT services. …

Study Of Factors Influencing Traffic Violations In Jakarta: Perspective Of The Theory Of Planned Behavior (Tpb) In The Implementation Of Electronic Traffic Law Enforcement (Etle), Khobat Dewa Ruci, Sutanto Soehodho, R. Jachrizal Sumabrata

Smart City

Transportation safety in Indonesia reflects its culture and modernity, but the high rate of traffic accidents indicates significant challenges. Data from IRSMS and Polda Metro Jaya reveal an increase in accidents and traffic violations, reinforcing the need for effective law enforcement. The implementation of ETLE, supported by Law No. 22 of 2009 on Road Traffic and Transportation and Law No. 19 of 2016 on Electronic Information and Transactions, is a strategic effort to improve law enforcement. However, its effectiveness in Jakarta context still requires in-depth evaluation. This thesis focuses on the psychological factors in the use of ETLE using the …

The Distribution Of Schools Not Served By Brt Trans Semarang In Semarang City, Nanda Iryani Intan Sari, Sutanto Soehodho, R. Jachrizal Sumabrata

Smart City

For developing countries, the implementation of sustainable transportation systems is crucial to involve substantial investments. Mobility in Indonesia can have an impact on both origin and destination areas. This research aims to determine the distribution of schools that are not served in the city of Semarang. Consequently, an identification can be made to formulate a recommendation for the development of operational routes for the BRT Trans Semarang to enhance connectivity between other transportation modes on routes with high demand. A quantitative descriptive analysis was performed to assess BRT Trans Semarang through utilizing government documents, news, and official websites, followed by …

Exploring The Impact Of Artificial Intelligence On Project Management Across The Manufacturing, Technology, And Construction Industries, Susie Diaz Ferrera

Harrisburg University Dissertations and Theses

This study explores the impact of Artificial Intelligence (AI) on project management across the manufacturing, technology, and construction industries. The research focuses on understanding the benefits, challenges, and long-term implications of AI utilization in these sectors. Key findings indicate that 46% of participants use AI mainly for task automation and enhancing functions like brainstorming and communication, which significantly boosts efficiency and team productivity. Despite these benefits, the research identifies several obstacles, including high initial costs, inadequate training, technical issues, and unclear regulatory guidelines. The study addresses four main questions, revealing that AI not only enhances project management processes but also …

Predicting Flexural-Creep Stiffness In Bending Beam Rheometer (Bbr) Experiments Using Advanced Super Learner Machine Learning Techniques, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

BBR test is commonly used to assess the low-temperature performance grade (PG) of asphalt binders, with the flexural-creep stiffness being a critical parameter calculated through this test. However, it has notable limitations that demand attention. The significant amount of asphalt binder needed for test specimens increases costs and resource consumption. Additionally, the complex and time-consuming specimen preparation process hinders testing efficiency and introduces result variability, affecting the accuracy and reliability of PG determinations. In recent years, machine learning (ML) has emerged as a promising substitute for predicting various engineering values. In this study, the primary focus was on harnessing super …

An Editorial For The Special Issue “Processing And Application Of Weather Radar Data”, Youcun Qi, Zhe Zhang, Zhanfeng Zhao, Bong Chul Seo, Huiqi Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

3d Printing Of Fiber-Reinforced Calcined Clay-Limestone-Based Cementitious Materials: From Mixture Design To Printability Evaluation, Haodao Li, Jingjie Wei, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Sustainability and limitations in embedded reinforcement are the main obstacles in digital fabrication with concrete. This study proposed a 3D printable fiber-reinforced calcined clay-limestone-based cementitious material (FR-LC3). The binder systems incorporating calcined clay (CC) and limestone filler (LF) were optimized by determining the flow characteristics and water retention ability of the paste. The effect of fiber volume on the key fresh and mechanical properties of the fiber-reinforced mortars made with the optimized binder was evaluated. A combination of offline assessments and inline printing were employed to investigate the printability of the FR-LC3 with various binder systems and viscosity-modifying admixture (VMA) …

Early Detection Of Structural Damage In Uhpfrc Structures Through The Combination Of Acoustic Emission And Ultrasonic Stress Wave Monitoring, Numa Bertola, Thomas Schumacher, Ernst Niederleithinger, Eugen Brühwiler

Civil and Environmental Engineering Faculty Publications and Presentations

Ultra-High-Performance Fiber-Reinforced Cementitious Composite (UHPFRC) offers several advantages compared to concrete, notably due to the strain hardening behavior under tensile actions. Structures made of this composite material are lightweight and highly durable, thanks to the UHPFRC waterproofing quality. Nonetheless, the tensile behavior leads to a different cracking pattern than conventional concrete and is not fully understood yet. This paper presents a combined approach using both passive ultrasonic (US) stress wave (or acoustic emission) and active US stress wave monitoring to localize and quantify damage progression in a full-scale UHPFRC beam during experimental load testing. The proposed monitoring approach involves 24 …

Advanced Acoustic Emission-Based Shm For Concrete Structures: Real-Time, High-Precision Imaging Of Crack Geometry And Damage Sourcetype Using Moment Tensor Inversion, Seyyedmaalek Momeni, Thomas Schumacher, Lindsay Linzer, Brice Lecampion

Civil and Environmental Engineering Faculty Publications and Presentations

In this paper, we introduce a novel automated and high-precision acoustic emission (AE) monitoring algorithm and the software SIMORGH, which is suitable for structural health monitoring (SHM) of civil structures. Initially developed for laboratory-scale hydraulic fracture monitoring, this core software has been effectively scaled up to meter-level applications and is compatible with heterogeneous media such as concrete. It is designed to work with various standard data formats and is handles both trigger-based and continuous data. We present initial results from implementing this software in the AE monitoring of two 4.88-meter-long concrete beams in a laboratory setting, comparing it with manually …

Combined Passive And Active Ultrasonic Stress Wave Monitoring Of Concrete Structures: An Overview Of Data Analysis Techniques And Their Applications And Limitations, Thomas Schumacher, Numa Bertola, Niklas Epple, Eugen Bruehwiler, Ernst Niederleithinger

Civil and Environmental Engineering Faculty Publications and Presentations

Combined passive ultrasonic (US) stress wave [better known as acoustic emission (AE)] and active US stress wave monitoring has been shown to provide a more holistic picture of ongoing fracture processes, damage progression, as well as slowly occurring aging and degradation mechanisms in concrete structures. Traditionally, different data analysis techniques have been used to analyze the data generated from these two monitoring techniques. For passive US stress wave monitoring, waveform amplitudes, hit rates, source localization, and b-value analysis, among others, have been used to detect and locate cracking. On the other hand, amplitude tracking, magnitude squared coherence (MSC), and coda …

Processes For Depositing Functionalized Nanoparticles Upon A Substrate, Erik T. Thostenson, Thomas Schumacher

Civil and Environmental Engineering Faculty Publications and Presentations

Processes for depositing functionalized nanoparticles upon a non-conductive substrate are disclosed herein. The processes may include the step of aerosolizing one or more particles into suspension within a gas, each of the one or more particles comprising functionalized nanoparticles having an electric charge. The processes may include the step the step of attracting the one or more particles onto a non-conductive substrate by a static electric charge opposite of the electric charge, wherein at least portions of the non-conductive substrate are having the static electric charge. The processes may include the step of depositing the functionalized nanoparticles onto the non-conductive …

Development And Optimization Of Object Detection Technology In Pavement Engineering: A Literature Review, Hui Yao, Yaning Fan, Yanhao Liu, Dandan Cao, Ning Chen, Tiancheng Luo, Jingyu Yang, Xueyi Hu, Jie Ji, Zhanping You

Michigan Tech Publications

Due to the rapid advancement of the transportation industry and the continual increase in pavement infrastructure, it is difficult to keep up with the huge road maintenance task by relying only on the traditional manual detection method. Intelligent pavement detection technology with deep learning techniques is available for the research and industry areas by the gradual development of computer vision technology. Due to the different characteristics of pavement distress and the uncertainty of the external environment, this kind of object detection technology for distress classification and location still faces great challenges. This paper discusses the development of object detection technology …

Application Of Multidisciplinary Community Resilience Modeling To Reduce Disaster Risk: Building Back Better, Wanting "Lisa" Wang, John W. Van De Lindt, Blythe Johnston, P. Shane Crawford, Guirong Grace Yan, Thang Dao, Trung Do, Katie Skakel, Mojtaba Harati, Tu Nguyen, Robinson Umeike, Silvana Croope, Andre R. Barbosa

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

From december 10 to december 11, 2021, a deadly tornado outbreak struck across several states in the us, including arkansas, illinois, kentucky, and tennessee. This tornado outbreak resulted in at least $3.9 Billion in damage, more than 90 fatalities, and hundreds of injuries. Mayfield, kentucky, a small city in the eastern united states, was hit by a long-track tornado rated as an enhanced fujita 4 (ef4) scale and was one of the communities most heavily damaged during the tornado outbreak. Following the 2021 tornado event, an analysis was performed in the interdependent networked community resilience modeling environment (in-core) for the …

Best Practices For Maintenance Of Traffic On Interstate Pavement Rehabilitation Projects, Catherine Keathley, Ryan Griffith, Rachel Catchings

Kentucky Transportation Center Research Report

Across the United States, aging roadway infrastructure has led state departments of transportation (DOTs) to increase their focus on pavement rehabilitation projects. These projects upgrade existing infrastructure to meet the needs of current levels of vehicle use. On interstate rehabilitation projects, maintenance of traffic (MOT) is an especially important consideration. Having a good MOT plan for completing construction work is critical for maintaining facility capacity while ensuring the safety of the traveling public and roadway construction staff. This study explores on behalf of the Kentucky Transportation Cabinet (KYTC) best practices for MOT on interstate pavement rehabilitation projects. Based on a …

Accommodating Innovative Uses Of Public Right Of Way, Travis Thompson, David Moses, Candice Wallace, Pam Clay-Young, Arlen Sandlin

Kentucky Transportation Center Research Report

State departments of transportation (DOTs) are embracing the use of clean energy and connectivity (CEC) applications along publicly owned right of way (ROW). Applications such as wind and solar power installations, broadband lines, small cell wireless equipment, electric vehicle charging stations, and technologies related to connected and automated vehicles (CAVs) hold considerable promise for conferring environmental benefits, energy savings, and generating much-needed revenue for DOTs. This report explores innovative uses of state-owned ROW that the Kentucky Transportation Cabinet (KYTC) could implement. Although Kentucky may not be currently situated for all clean energy applications, opportunities in solar do currently exist and …

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, Architectural and Environmental Engineering Faculty Research & Creative Works

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 …

Development Of A Sms Rollout Plan And Evaluation, Gabriel Dadi, Hala Nassereddine, Farshid Taherpour, Salena Pham

Kentucky Transportation Center Research Report

Many state transportation agencies have introduced safety management systems (SMSs) to improve employee safety and health programs. These systems let employees quickly access safety and health policies, procedures, training, responsibilities, resources, and incident reporting tools, often electronically. Instituting a SMS is a critical step in adopting a proactive, data-driven approach to organizational safety. The Kentucky Transportation Cabinet Secretary’s Office of Safety (SOS) worked with Kentucky Transportation Center (KTC) to acquire, adapt, and rollout the Boosting Occupational Outcomes in Transportation Safety (BOOTS) system, a new SMS. Researchers assisted KYTC by conducting pre-rollout focus groups, helping to bring the system online, providing …

Using Knowledge Of Human Factors To Strengthen Highway Design, Chris Van Dyke, Jeff Jasper, Jill Asher, Steve Waddle

Kentucky Transportation Center Research Report

Transportation practitioners recognize that leveraging knowledge of human factors in road design is critical for delivering safe mobility to the full spectrum of multimodal road users (motorists, pedestrians, micromobility users, transit users). Understanding how psychology, cognition, and behavioral tendencies shape the ways in which different road users interact with one another and the road environment itself is critical for creating design solutions that promote safe and efficient movement. NCHRP Report 600 (Human Factors Guidelines for Road Systems) provides guidance on integrating knowledge of human factors into design practice. While the report is a valuable resource, it appears to …

Cost Modeling Of Provision C.3 Green Stormwater Infrastructure Requirements For Residential Development In Concord, California, James Henry Mizutani

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

To assist the city of Concord in achieving its housing goals as presented in its general plan, while still meeting the stormwater discharge requirements laid out in the city’s municipal discharge permit, I worked with local developers and consultants to create a spreadsheet modeling tool that allows housing developers to estimate the total cost of green stormwater infrastructure needed to comply with local regulations.

This report contains a summary of the conditions leading to the necessity of this tool, the steps the tool takes that go beyond existing models, a description of how the model operates, instructions on how to …

Hydrogen From Food Waste: Energy Potential, Economic Feasibility, And Environmental Impact For Sustainable Valorization, Md Sanowar Hossain, Fairuz Wasima, Md Sharul I. K. Shawon, Barun K. Das, Pronob Das, Sanjay Paul

Research outputs 2022 to 2026

Globally, inefficient management of municipal solid waste, composed primarily of food waste poses concern for human and environmental well-being. Food waste can be converted into hydrogen gas, which can be utilized to generate power without emitting any harmful pollutants. This solution would also help with the issue of disposing of food waste. The conversion of food waste into hydrogen is a practical energy source with potential financial benefits. This study explores the transformative potential of converting food waste into renewable energy through hydrogen production, focusing on Bangladesh from 2023 to 2042. Notably, the study forecasts a surge in food waste …

Understanding The Impact Of Microplastic Contamination On Soil Quality And Eco-Toxicological Risks In Horticulture: A Comprehensive Review, N. P. Gayathri, Geena Prasad, Vaishna Prabhakaran, Vishnu Priya

Research outputs 2022 to 2026

The horticulture sector, essential for global food production, confronts significant challenges with prevalent pollutants, mainly microplastics. The presence of microplastics in the food chain has induced physiological stress and a multifactorial food safety concern. The complexity of the problem, arising from intricate interactions among microplastics, organisms, and ecosystems, poses a substantial challenge to food safety, necessitating an immediate strategic perspective due to the associated risks to human health and eco-toxicology. Significant knowledge gaps persist regarding their impact on terrestrial ecosystems, especially in horticulture. This study addresses the urgent need to comprehend the implications of microplastics on soil health, eco-toxicological risks, …

Modeling The Effectiveness Of Bioremediation On Methyl Tertiary-Butyl Ether In Groundwater, Logan Bundy

Master's Theses

Methyl tertiary-butyl ether (MTBE) and its degraded form tertiary-butyl alcohol (TBA) are both known carcinogens that have contaminated groundwater aquifers across the United States. MTBE is a synthesized compound, once widely used as an additive in gasoline to increase oxygenation. Because of its popularity, MTBE was released into the environment primarily through fuel combustion and leaking underground storage tanks. These two compounds are known to be recalcitrant to most conventional physico-chemical treatment methods. Previous studies have suggested that bioremediation is effective at degrading MTBE and TBA in contaminated groundwater. Bioremediation involves the injection of oxygen, nutrients, and pre-adapted bacterial cultures …