Bell Ford Bridge Reconstruction Project,
2025
Kurdziel Barker Engineering, Inc.
Bell Ford Bridge Reconstruction Project, Daniel Kurdziel, Jim Barker, Matt Lee
Purdue Road School
The Bell Ford Bridge was originally constructed in 1869 until it collapsed in the 20th century. The remains were salvaged and stored for 20 years until it was to be rebuilt in Hamilton County, IN. This is the only remaining Combination Post Truss in existence and was rebuilt using 95% of the original iron and 10% of the original timber.
Enhancing Road Performance With Void Reducing Asphalt Membrane,
2025
Purdue University
Enhancing Road Performance With Void Reducing Asphalt Membrane, Tim Zahrn, Todd Thomas, Randy Miller
Purdue Road School
This presentation will discuss how using the technology of a Void Reducing Asphalt membrane can improve performance of our Asphalt Pavements by creating a more durable asphalt surface that resists cracking and reduces permeability. Void Reducing Asphalt Membrane (VRAM) Specifications: VRAM reduces voids in longitudinal joints, which improves the longevity of a quality road surface. INDOT has already required VRAM on certain road designs. We will review the current specifications for VRAM and outline specifications that may update with the technology. We will also discuss the Impact of Rumble Strips on Longitudinal Joint Performance. The session will also highlight how …
Multi-Model Integration For Dynamic Forecasting (Midf): A Framework For Wind Speed And Direction Prediction,
2025
The University of Texas Rio Grande Valley
Multi-Model Integration For Dynamic Forecasting (Midf): A Framework For Wind Speed And Direction Prediction, Molaka Maruthi, Bubryur Kim, Sujeen Song, Jinwoo An, Zengshun Chen
Civil Engineering Faculty Publications
Accurate forecasting of wind speed and direction is critical for the efficient integration of wind power into energy systems, ensuring reliable renewable energy production and grid stability. Traditional methods often struggle with capturing nonlinear interdependencies, quantifying uncertainties, and providing reliable long-term predictions, particularly in complex atmospheric conditions. To address these challenges, this study introduces multi-model Integration for dynamic forecasting (MIDF), an ensemble machine learning framework that combines the strengths of DeepAR and temporal fusion transformer (TFT) models through a two-step meta-learning process. MIDF leverages DeepAR’s probabilistic forecasting capabilities and TFT’s attention mechanisms to enhance accuracy, robustness, and interpretability. Using a …
Behavior Of Buried Sliplined Corrugated Metal Pipes Subjected To Footing Loading,
2025
The University of Texas Rio Grande Valley
Behavior Of Buried Sliplined Corrugated Metal Pipes Subjected To Footing Loading, S. Mustapha Rahmaninezhad, Saif Jawad, Jie Han, Mahdi Al-Naddaf, Robert L. Parsons
Civil Engineering Faculty Publications
Buried structures (e.g., culverts and pipes under roadways) installed several decades ago are reaching the end of their service life. Excavation and replacement of these structures will cause disturbances to the transportation network and require significant funding. Trenchless techniques (e.g., sliplining) have been increasingly employed to rehabilitate deteriorated buried structures (e.g., corroded corrugated steel pipes). Sliplining includes inserting a new pipe (liner) into an existing deteriorated pipe and filling the gap between them with grout. The objective of this study was to evaluate the effect of sliplining on the behavior of buried corrugated steel pipes with different degrees of corrosion …
Comparison Of A Terrestrial And Handheld 3d Laser Scanner In As-Built Building Information Model (Bim) Creation,
2025
Rowan University
Comparison Of A Terrestrial And Handheld 3d Laser Scanner In As-Built Building Information Model (Bim) Creation, Cedric Scott Jankowski
Theses and Dissertations
Advances in computer processing have allowed mobile 3D laser scanners to begin to rival terrestrial scanners in terms of accuracy and scanning speed. While terrestrial scanners are the established instrument used in BIM creation for existing buildings, their cost, immobility, and size warrants a comparison to mobile scanners. This evaluation used scans created with both scanner types, the resulting point clouds, and 3D models created by tracing these point clouds to compare the BIM models and resulting floorplans, which were checked against direct on-site measurements. Because terrestrial scanners are considered state-of-the-art, the evaluation focused primarily on comparing mobile scanner and …
Correlating The Compositional Changes To The Rheological Properties Of Recovered Asphalt Binders From Recycled Asphalt Mixtures: Insights From The Thermogravimetric Measurements,
2025
Missouri University of Science and Technology
Correlating The Compositional Changes To The Rheological Properties Of Recovered Asphalt Binders From Recycled Asphalt Mixtures: Insights From The Thermogravimetric Measurements, Eslam Deef-Allah, Magdy Abdelrahman
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Assessing the binder performance of thermal characterization is critical for quality control. This is pertinent for recovered binders from mixtures, which may not be in adequate quantities to evaluate their performance, particularly in mixtures containing reclaimed asphalt pavement (RAP). The present study deployed a thermogravimetric analyzer to evaluate compositional changes in recovered binders from RAP-containing mixtures, focusing on thermograph and derivative of thermograph (DTG) characteristics and correlating the results to rheological features. Incorporating RAP in mixtures influenced recovered binders' DTG shapes, reducing low-combusted components (%LCC) and increasing residues (%R). The recovered binder from the zero-RAP-containing mixture showed a 4.36% increase …
Impact Of Aggregate Characteristics On Frictional Performance Of Asphalt-Based High Friction Surface Treatments,
2025
Missouri University of Science and Technology
Impact Of Aggregate Characteristics On Frictional Performance Of Asphalt-Based High Friction Surface Treatments, Alireza Roshan, Magdy Abdelrahman
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
High Friction Surface Treatments (HFST) are recognized for their effectiveness in enhancing skid resistance and reducing road accidents. While Epoxy-based HFSTs are widely applied, they present limitations such as compatibility issues with existing pavements, high installation and removal costs, and durability concerns tied to substrate quality. As an alternative to traditional Epoxy-based HFSTs, this study investigated the effects of aggregate gradation as designated by agencies on the performance of asphalt-based HFST. Various aggregate types were assessed to evaluate friction performance and the impact of polishing cycles on non-Epoxy HFST. It was found that adjustments in aggregate size and gradation may …
Evaluating Educational Benefits Of A Custom Cyber Game: ‘Hvac Attack!’,
2025
Air Force Institute of Technology
Evaluating Educational Benefits Of A Custom Cyber Game: ‘Hvac Attack!’, Jillian S. Valente
Theses and Dissertations
Cyber competition and conflict remain an enduring concern for the Department of Defense (DoD). Positive control of cyberspace is crucial across the vast diversity of military operations and supporting activities. Military members play an important role in cyber prevention, detection, and remediation, but most receive relatively little training outside of the annual Cyber Awareness Challenge. Particular career fields within the DoD may benefit from specialized training in cybersecurity, in particular the civil engineering (CE) community supporting critical infrastructure protection. Prior research has suggested that game-based learning (GBL) can be beneficial for teaching cyber concepts.
Workforce Forecasting For State Transportation Agencies: A Machine Learning Approach,
2025
University of Arkansas, Fayetteville
Workforce Forecasting For State Transportation Agencies: A Machine Learning Approach, Adedolapo Ogungbire, Suman Kumar Mitra
Civil Engineering Faculty Publications and Presentations
A decline in the number of construction engineers and inspectors at state transportation agencies (STAs) to manage the ever-increasing lane miles has emphasized the importance of workforce planning in these agencies. Forecasting workforce requirements is crucial for effective planning in any industry or agency. This study developed machine learning (ML) models to estimate the person-hour requirements of STAs at the project level. The Arkansas Department of Transportation (ARDOT) was used as a case study, using its employee and project details data between 2012 and 2021. ML regression models ranging from linear, tree ensembles, kernel-based, and neural network-based models were …
Examining The Impact Of The Covid-19 Pandemic On Older Adults' Activity Participation And Mode Usage In A Rural State: A Case Study Of Arkansas,
2025
University of Arkansas, Fayetteville
Examining The Impact Of The Covid-19 Pandemic On Older Adults' Activity Participation And Mode Usage In A Rural State: A Case Study Of Arkansas, Arna Nishita Nithila, Suman Kumar Mitra, Alishia Juanelle Ferguson, Michelle Gray, Jennifer D. Webb
Civil Engineering Faculty Publications and Presentations
The objective of the study was to investigate the impact of the COVID-19 pandemic on the activity participation and mode usage of older adults residing in Arkansas, a predominantly rural state. Leveraging primary data collected from 832 older adult participants, the study employed Latent Class Analysis (LCA) to capture older adults' heterogeneity in travel behavior and found three distinct classes: Pandemic-affected minimal travelers, Unaffected non-commuter car users, and Unaffected commuter car users, showing different levels of their activity participation, mode usage during the pandemic and varying the pandemic's impact on their trips. To understand these variations in light of the …
Advancing Sustainable Road Construction With Cold Mix Rap And Rejuvenator,
2025
University of South Alabama
Advancing Sustainable Road Construction With Cold Mix Rap And Rejuvenator, Abeeb G. Oyelere
Shelby Hall Graduate Research Forum Presentations
Presentation slides for a presentation given at the 1st annual Shelby Hall Graduate Research Forum at the University of South Alabama.
Modelled Flooding Impacts On Lower Fish River Watershed,
2025
University of South Alabama
Modelled Flooding Impacts On Lower Fish River Watershed, Sebastian Loschner
Shelby Hall Graduate Research Forum Posters
This study investigates the impacts of compound flooding in the Lower Fish River watershed, Baldwin County, Alabama, with a focus on the potential effects of sea level rise due to climate change. Coastal flooding, particularly in smaller watersheds, is a growing concern as it results from the interaction of multiple factors, including rainfall, tidal changes, and extreme weather events. Compound flooding, which involves multiple flood drivers, is expected to worsen with climate change, as increased precipitation and rising sea levels create heightened flood risks. However, existing research on compound flooding predominantly focuses on large-scale watersheds, leaving a knowledge gap in …
Toward Sustainability: A New Construction Method For Electrically Heated Rigid Pavement Systems,
2025
The University of Texas Rio Grande Valley
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 …
Smart Highway Construction Site Monitoring Using Artificial Intelligence,
2025
California State University, Los Angeles
Smart Highway Construction Site Monitoring Using Artificial Intelligence, Mehran Mazari, Yahaira Nava-Gonzalez, Ly Jacky N. Nhiayi, Mohamad H. Saleh
Mineta Transportation Institute
Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes. Our goal was to find the optimized balance between the model capabilities in object detection and memory processing requirements. …
Assessing The Perceived Safety Of Cyclists With Virtual Reality,
2025
California State University, Long Beach
Assessing The Perceived Safety Of Cyclists With Virtual Reality, Vahid Balali
Mineta Transportation Institute
In 2022, 7,522 pedestrians and 1,084 bicyclists were killed and approximately 67,000 pedestrians and 46,195 bicyclists injured in motor vehicle crashes on public roadways in the United States, according to the Insurance Institute for Highway Safety (IIHS). The transportation industry is faced with a pressing need to bolster the safety of these vulnerable road users. This research develops models of design and environmental factors that influence bicyclists’ and pedestrians’ perception of safety using Virtual Reality (VR) technology and ultimately informs transportation infrastructure design to better accommodate nonmotorized travelers. The goal of the bicycle element of this research is to develop …
Numerical Analyses Of Construction Materials At Different Scales For Improved Resilience And Sustainability Of Civil Infrastructures,
2025
Rowan University
Numerical Analyses Of Construction Materials At Different Scales For Improved Resilience And Sustainability Of Civil Infrastructures, Chenchen Huang
Theses and Dissertations
The resilience and sustainability of civil infrastructure are fundamental to supporting modern society in the face of growing environmental challenges and resource limitations. This study aims to use multi-scale numerical tools to evaluate mechanical performance of different construction materials under various environmental and loading conditions. Firstly, we adopt the discrete element method (DEM) to evaluate the influence of freeze-thaw cycles (FTCs) action on the mechanical properties of rock from the micro perspective. A simplified plastic model is proposed to capture the residual deformation produced during FTCs. To further explore the deterioration of FTCs on rock, the water-contained grain-based model (GBM) …
A Review Of Chemical Stabilisation Used To Enhance The Mechanical Properties Of Rammed Earth,
2025
Technological University Dublin
A Review Of Chemical Stabilisation Used To Enhance The Mechanical Properties Of Rammed Earth, David Thompson, Charles Augarde, Juan Pablo Osorio
Articles
Rammed earth is a sustainable construction method with a lower carbon footprint and embodied energy compared to traditional materials like steel and concrete. However, its lower mechanical properties when compared to these forms of construction make it vulnerable to seismic forces. This paper reviews the published literature on enhancing rammed earth's mechanical properties through both chemical stabilisation and fibre reinforcement, with a focus on reusing waste materials. The effectiveness of these techniques are highlighted by comparing experimental results with minimum specifications taken from relevant guidelines and standards for building rammed earth structures in seismic zones. These findings demonstrate that chemical …
Performance Assessment Of Fiber-Reinforced Asphalt Mixtures: A Comprehensive Laboratory And Full-Scale Investigation,
2025
Rowan University
Performance Assessment Of Fiber-Reinforced Asphalt Mixtures: A Comprehensive Laboratory And Full-Scale Investigation, Ali Raza Raza Khan
Theses and Dissertations
Asphalt concrete is a composite material widely used in the construction of roads; however, fatigue cracking (load associated), thermal cracking (non-load associated), and permanent deformation (or rutting) are the most challenging issues in flexible (or asphalt) pavement structures. These distresses affect ride quality and are considered the most well-known pavement deterioration types. Several modifiers have been used as potential solutions to cracking and rutting of asphalt mixtures (i.e., polymers, geogrids etc.). Among these modifiers, fibers were introduced to improve the resistance of asphalt mixtures to rutting and cracking. Addition of fibers into the asphalt mixture is always challenging because of …
Building Services Engineering January/February 2025,
2025
Technological University Dublin
Building Services Engineering January/February 2025
Building Services Engineering
No abstract provided.
Multi-Scale Modeling Of Transport Properties In Cementitious Materials With Go Admixture,
2025
Missouri University of Science and Technology
Multi-Scale Modeling Of Transport Properties In Cementitious Materials With Go Admixture, Bing Liu, Weichen Kang, Weixing Lian, Feng Xing, Hongfang Sun, Hongyan Ma
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
In coastal areas, the presence of concrete cracks provides pathways for hazardous ions to ingress from the exterior into the interior of concrete, while the migration of the ions further accelerates concrete deterioration and causes durability problems. The incorporation of graphene oxide (GO) into concrete can inhibit crack initiation and development starting at the nanoscale, improving the concrete microstructure, thereby affecting concrete's resistance to hazardous ion transport and the resulting deterioration. In this study, a multi-scale transport model for cementitious materials with a GO admixture was established to predict the resistance to hazardous ions. Based on the determination of hydration …
