Civil and Environmental Engineering Commons^™

2026 Safety Belt Usage Survey In Kentucky, Erin Lammers-Staats, Derek S. Young, Kenneth R. Agent

Kentucky Transportation Center Research Report

No abstract provided.

Kentucky Transportation Cabinet Secretary’S Office Of Safety ‘Safety Academy’, Gabriel Dadi, Farshid Taherpour, Amanda Casolare

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) Safety Academy was developed to provide a structured and practical safety training program that strengthens safety leadership, planning, communication, employee engagement, hazard recognition, and continuous improvement across KYTC operations. The program was refined over the course of multiple discussions with Cabinet representatives to ensure that the content reflected the needs and responsibilities of KYTC personnel. The final Safety Academy consists of six modules: Safety Academy Welcome, Safety Leadership, Safety Planning, Safety Engagement, Hazard Recognition, and Safety Academy Closeout and Evaluation. The modules combine instructional content with discussions, practical examples, group exercises, and KYTC-related scenarios to …

Data-Driven Analysis For Managing Causes Of Disputes In Nuclear Power Plant Construction Projects, Mahmoud S. Mansour, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Nuclear energy remains a key element of the energy mix in the United States (US) and other parts of the world, with renewed and increased interest in recent years, driven by rising energy demand across various sectors. This is due to its capabilities of generating a vast amount of reliable and carbon-free electricity, which are crucial advantages as compared to other energy sources. However, nuclear power plant (NPP) projects involve unique risks and complexities that have long hindered their progress and shaped dispute dynamics differently from other construction sectors. Despite extensive research on construction disputes, there is a lack of …

A Novel Mesoscopic Modelling Approach For Steel Fibre-Reinforced Concrete: Investigating The Effects Of Fibre Alignment On Flexural Performance, Ayman Mansour, Themelina Paraskeva, Nuha S. Mashaan

Research outputs 2022 to 2026

Traditional finite element modelling of Steel Fibre-Reinforced Concrete (SFRC) relies on homogenised macroscopic models that overlook localised effects such as fibre orientation. Although three-dimensional (3D) mesoscopic frameworks for SFRC have been developed, direct comparisons with homogenised macroscopic models under the EN 14651 flexural test configuration remain limited, particularly for variations in fibre orientations. Consequently, a comparative evaluation is essential to assess the mesoscopic model under EN 14651 conditions. To address this, this work introduces a 3D tensor-controlled mesoscopic modelling approach for SFRC that explicitly simulates individual fibres with random and preferential alignment, offering a more realistic representation of fibre bridging …

Borders And Bids: Assessing How Competition In Transportation Projects Is Shaped By The Presence Of Out-Of-State Contractors, Mariam Elazhary, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Competitive bidding in transportation construction is vital for securing better value for money and higher-quality proposals. Prior research has attempted to encourage more competition by proposing novel delivery methods, contractual incentives, or alternative bidder profiles. However, one viable bidder profile, which has received limited attention in the literature, is to encourage cross-border participation to expand the pool of qualified firms and thereby increase competition. While, in theory, this may improve economic efficiency, the inclusion of more out-of-state contractors (OSCs) is not costless. The goal of this paper is to assess whether participation by OSCs is associated with strengthening competition in …

Identifying Influential Drivers To The Utilization Of Prefabrication On Student Housing At Cal Poly: A Case Study On The Delivery Method, Dominique Giang

Construction Management

As universities experience increasing enrollment and housing shortages, student housing projects require efficient delivery methods capable of meeting strict occupancy deadlines while minimizing disruption to active campus environments. This research investigates the influential drivers behind the utilization of prefabrication on an ongoing student housing project at California Polytechnic State University, San Luis Obispo. The seven-story project consists of 417 student beds and incorporates repetitive layouts and prefabricated building components. Through qualitative interviews with key project stakeholders involved in early decision-making and field execution, the study examines how project objectives, construction constraints, and delivery considerations influenced the decision to implement prefabrication. …

Spatiotemporal Assessment Of Water Quality Around Western Australian Central Business District Using Satellite Multispectral Imaging, Muhammad Hassnain, Cameron Veal, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

Monitoring urban surface waters requires methods that preserve spatial detail while capturing seasonal and interannual variability. Multispectral satellite remote sensing provides a scalable complement to conventional field and laboratory monitoring across rivers, wetlands, lakes and coastal receiving waters. This study used Sentinel-2 Level-2A imagery processed through the Pixxel Aurora workflow to map a model-based water quality index (WQI) for the Swan-Canning River system, adjacent urban lakes and nearby coastal waters around Perth, Western Australia, from 2018 to 2025. Of 150 candidate images, 96 monthly WQI maps were accepted after software-based cloud correction, area-of-interest coverage checks and visual quality review. Satellite-derived …

A Framework For Automated Quantity Extraction From .Ifc Models And Normalized Bid Comparison, Asmaa Mohamed Farouk

Theses and Dissertations

Accurate bid comparison remains a major challenge in construction tendering due to

differences in Bill of Quantities formats, item naming conventions, and pricing methods across

contractor submissions. These variations require time-consuming manual work and often lead to

subjective decisions. This research presents a computational framework that uses Building

Information Modeling through the .ifc file format, combined with text analysis techniques for

automated bid normalization.

The developed system uses a dual-component approach. Phase 1 extracts quantities from .ifc

model files using 3D geometric calculations, automated element classification. Phase 2 uses text

mining with a domain-specific dictionary of construction terms to interpret …

Dynamic Flood Risk Assessment For Transportation Infrastructure In Fresno, Ca, Yushin Ahn, Fayzul Pasha

Mineta Transportation Institute

Urban roadway flooding in flat metropolitan environments often shows up as small areas of standing water rather than large, flowing floods. In low-gradient urban environments, subtle micro-topographic features—such as pavement crowns, curbs, and localized depressions—often control where surface water accumulates following rainfall. Accurately identifying these localized ponding areas is important for roadway flood screening and infrastructure management. This study develops a LiDAR-based depression mapping framework to identify roadway segments susceptible to surface ponding in flat urban environments. High-resolution airborne LiDAR datasets were used to generate detailed elevation maps (down to less than a foot in resolution) from ground-classified point clouds …

Investigation Of Bridge Foundation Depth Using Geoelectrical Dipole Configuration, Devi Oktaviana Latif, Amalia Ula Hazhiyah, Adhitya Yoga Purnama, Ika Rahmawati Suyanto, Surya Dewi Puspitasari, Heru Budi Utomo

Makara Journal of Technology

Bridges are constructed to facilitate the crossing of pedestrians, vehicles, or trains and are essential components of land transportation infrastructure, which is crucial for ensuring the smooth flow of traffic. As part of the reconstruction project for the south side of the Muja Muju Bridge on Jalan Kusumanegara, the Yogyakarta City Government rebuilt this section of the bridge, which had become unfit for traffic use. The area features two bridges, serving as transportation routes: the Muja Muju Bridge on the north side and the newly reconstructed bridge on the south side. The demolition of the south side of the Muja …

Residential Cooling Energy Efficiency During Heatwaves In South Texas, Rosa A. Castan, Gasser G. Ali

Civil Engineering Faculty Publications

Heatwaves have become increasingly intense and frequent in recent years. As a result, residents are forced to rely on air-conditioning systems, a major contributor to high energy consumption. South Texas is one of the regions that has been affected by historically extreme heat. This paper explores the challenges this region has faced due to heatwaves and the strategies adopted to mitigate their effects. It investigates the use of cooling technologies, energy-related habits, and investment in home construction to reduce indoor heat and manage electricity bills. A literature review is performed to help identify relevant factors related to maximizing energy efficiency. …

Evaluating The Impacts Of Extreme Temperature Events On The Us Rail Network, Gabby Gutierrez, Gasser G. Ali, Constantine Tarawneh

Civil Engineering Faculty Publications

The United States railway is a critical part of the national infrastructure and economy. Heatwaves are a major weather event that can cause major disruptions and affect the stable operation of the railway. Failure in part of the rail network may have a ripple effect on the rest of the network. As such, there is a need to study the effect of weather on rail networks that require re-routing. The goal of this paper is to investigate the vulnerability of the contiguous United States rail infrastructure against disruptions to operations caused by extreme heat events. This goal is achieved by …

Estimating Highway Rehabilitation Projects Using Machine Learning, Samantha Ocaña, Silvia Flores-Osuna, Gasser G. Ali, Constantine Tarawneh

Civil Engineering Faculty Publications

Highways are a crucial part of the national infrastructure. As such, they are costly to construct and maintain; challenges such as deterioration, limited budgets, and cost uncertainty create a need for improved cost prediction of rehabilitation projects. This is especially true in the preliminary stage when all factors are unknown. Accordingly, this paper proposes a model to predict the cost of highway rehabilitation projects. A machine learning model is trained on large and publicly available datasets released by the Texas Department of Transportation (TxDOT), the National Oceanic and Atmospheric Administration (NOAA), and the Federal Reserve of Economic Data (FRED). These …

Capillary Pressures Of Hydrogen-Brine In Carbonate And Dolomite Rocks Under Stress And With Pore Pressure, Nilesh Kumar Jha, Faisal Awan, Mathieu Roger, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

The recent discovery of high purity natural hydrogen in South Australia prompts the need for hydrogen-brine capillary pressure data to understand the behavior of fluid movement in the rock matrix. Furthermore, this investigation provides deeper insights into the suitability of carbonate reservoirs for potential large scale hydrogen storage and its deliverability. We measured core-scale drainage and imbibition capillary pressures for hydrogen-brine systems in limestone and dolomite under stress and hydrogen pore pressure, using advanced centrifuge techniques. Drainage capillary pressures range from 0.23 MPa (33.2 psi) to 0.02 MPa (3.2 psi) at 57.3-80.2% brine saturation in limestone and 72.7-99.8% in dolomite …

Rejection Of Fe (Iron) And Kmno4 (Organic Substance) Parameters In Peat Water Using Organic Membranes, Muhamad Rafli Sakti Mulia Gonera, Siti Umi Kalsum, Sarah Fiebrina Heraningsih

Journal of Materials Exploration and Findings

Peat water is a surface water source widely used by people in swampy and lowland areas, but it has poor quality characteristics such as high organic matter content, low pH, and dissolved metal levels such as iron that exceed the threshold. These conditions can cause health problems and reduce the quality of clean water so that effective treatment technology is needed. This study aims to analyze the effectiveness of ultrafiltration membranes made from chitosan from shrimp shell waste in rejecting iron (Fe) and organic substances in peat water, and to determine the effect of pressure on separation performance. This study …

Novel Uncrewed Aircraft Water Sampling Device, Justin Fratto, Avinash Muthu Krishnan, Kayla D. Taylor, David Zink, Marc Compere, Kevin Adkins

Discovery Day - Daytona Beach

Supported by the Environmental Protection Agency (EPA), this project’s objective is to create a novel simultaneous surface and discrete depth water sampler for use with an uncrewed aircraft, something which has not been done before. The device will be used to improve the spatiotemporal resolution of harmful algal bloom (HAB) monitoring on Lake Okeechobee in South Florida to provide timely and precise information on water quality and HABs. HABs are characterized by the EPA as certain species of algae that can produce harmful toxins and produce excessive blooms or growth in certain conditions. Often occurring in warmer months due to …

Physics-Informed Neural Networks For Early-Warning Fatigue Damage Detection And Localization In A Steel Railway Bridge Using Sparse Ambient Monitoring Data, Arslan Qayyum Khan, Ali Raza, Amorn Pimanmas

Civil Engineering Faculty Publications

Aging steel railway bridges accumulate fatigue damage at locations that periodic inspection rarely reaches and that conventional vibration monitoring detects only after severe stiffness loss. Existing physics-informed learning methods for structural health monitoring are mostly validated on synthetic data and single snapshots, leaving their performance on continuous field data with verified damage untested. This study develops a strain-based monitoring approach, supported by a physics-informed neural network (PINN), for early detection of fatigue damage in a steel railway bridge. The measured strain is compensated for temperature using a model calibrated on healthy-state data, the resulting anomaly is tracked through a statistical …

Percolation-Induced Thermo-Rheological Transitions In Biobased Graphene Nanoplatelet Nanofluids, Abiodun A. Saka, Tobechukwu K. Abor, Anthony C. Okafor, Monday U. Okoronkwo

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Biobased lubricants with thermally responsive rheology are increasingly needed for high-efficiency mechanical systems. Graphene nanoplatelet (GnP) nanofluids in vegetable oils are promising candidates, yet their percolation-driven thermo-rheological transitions remain insufficiently understood. In particular, the coupled concentration–temperature landscape controlling network-mediated flow transitions has not previously been established. Here, surfactant-free GnP nanofluids were prepared in high-oleic soybean oil (HOSO) at concentrations of 0.025–2.15% v/v (ϕ), and their rheological response was mapped between 25°C and 80 °C under steady-shear and oscillatory conditions. Below the percolation threshold (ɸ ≤ 0.1% v/v), the nanofluids exhibit near-Newtonian behavior, moderate reversible viscosity enhancement, and classical Arrhenius-type temperature …

Improving The Concrete Compressive And Flexural Strength With A Low Fraction Addition Of Carboxylated Nitro-Oxidized Cellulose Nanofibrils From Banana Rachis, Ngesa Ezekiel Mushi, Emmanuel Kagya

Tanzania Journal of Science

Conventionally, concrete strength depends on the bonding interface, especially in hydrated products such as calcium silicate hydrate (CSH). As a result, concrete is sensitive to tensile load. With its unique properties, a low fraction of carboxylated nitro-oxidized cellulose nanofibrils (NOCNF) from the banana rachis is employed to improve the mechanical performance of the concrete nanostructurally. Compressive and flexural strength using the NOCNF content at 0, 0.05, and 0.1 wt.%, cured for 7 and 28 days, were evaluated. Notably, the compressive strength increased by 16 % and the flexural strength by 13 % at 0.1 wt.% NOCNF compared to plain concrete …

Research Status And Prospects Of Monitoring Technology For Large-Span Cable-Stayed Bridges Based On Machine Learning, Liu Guoliang, Liu Guokun, Yan Donghuang, Wang Wenxi, Wang Qishun

Journal of China & Foreign Highway

Machine learning and intelligent optimization algorithms have been increasingly applied to construction and health monitoring of long-span cable-stayed bridges. Based on the construction history of cable-stayed bridges both domestically and internationally, an overview of the origin and development process of cable-stayed bridges was provided. Firstly, from the perspective of the entire life cycle of bridges, bridge monitoring was divided into construction period monitoring and operation period monitoring. The applications of mainstream construction monitoring methods in large cable-stayed bridge projects were elaborated, and the specific composition of bridge health monitoring systems was clarified. Secondly, the basic principles of several machine learning …