Civil Engineering Commons^™

Cross-Dataset Stability Assessment Of A Fixed-Configuration Catboost Model Across Heterogeneous Civil Engineering Material Datasets, Arslan Qayyum Khan, Ali Raza, Amorn Pimanmas

Civil Engineering Faculty Publications

Machine learning (ML) has increasingly been applied in civil and structural engineering for predicting material and structural performance. However, most existing studies either benchmark several algorithms within a single dataset or review such findings, leaving the cross-dataset stability of one fixed model configuration largely unquantified. This study proposes a generalized ML evaluation framework to investigate the robustness and stability of a fixed-configuration model across multiple civil engineering material datasets. Ten datasets representing diverse structural and material problems were compiled, including 3D printed concrete (3DPC), conventional and advanced concrete including normal and high strength concrete (NHSC), recycled aggregate concrete (RAC), ultra-high-performance …

Treatment Of Municipal Solid Waste Incineration Bottom Ash Using Cement For Integrated Recovery Of Hydrogen And Production Of Supplementary Cementitious Material, Muhammad Haris Javed, Wenyu Liao, Fathma Zuhra, David Vollero, David Schmidenberg, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Municipal solid waste incineration (MSWI) bottom ash (MBA) represents both a disposal challenge and a potential resource for sustainable construction materials, including use as a supplementary cementitious material (SCM). However, the conventional use of MBA in cement-based materials is hindered by its high metallic aluminum content, which reacts in alkaline environments to release hydrogen gas and causes volumetric instability (e.g., expansion and cracking). This study investigates a cement-based alkali pretreatment method using diluted cement suspension to stabilize metallic aluminum and improve the compatibility of MBA as an SCM. Compared to conventional alkali solutions, the proposed approach avoids the direct use …

From Disaster To Resilience: Developing Smart Settlements In The Himalayas, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

Nepal’s catastrophic 26 August 2026 Bhote Koshi–Trishuli flood should be understood not only as a humanitarian tragedy but also as a potentially major turning point in updating national settlement and reconstruction policy. Engineers and scientists have described the floods as a glacier–bedrock collapse that triggered an ice-rock avalanche and debris flow. As per the live updates on September 7, 2026, the total death toll was 1,355, and 4,996 people were missing (The Hindu, 2026). Indian and Nepali rescuers worked urgently to locate and rescue people buried under hydropower tunnels, buildings, mud, and landslide debris.

UN News reported on September 3, …

From Himalayan Catastrophe To National Resilience: Lessons From The 2026 Bhote Koshi And Trishuli River Floods In Nepal, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

On the morning of 26 August 2026, the mountains above Nepal’s northern frontier delivered a disaster of almost unimaginable speed and scale. A massive mass of ice, rock, and sediment detached in the high Himalayan terrain near the Nepal–Tibet border, descended roughly 1,200 metres, interacted with the Lhende Khola system, and generated a debris-rich flood that surged through the Bhote Koshi and Trishuli river corridors, destroying settlements, markets, roads, bridges, hydropower facilities, and an international border crossing and transforming them into fields of mud, boulders, and wreckage within minutes (ICIMOD, 2026b; Reuters, 2026a). Satellite analysis indicates that a substantial section …

Metrological Characterization Of Pavement Friction Measurements For High-Friction Surface Treatments: Si Traceability, Uncertainty Evaluation, And Adhesion–Hysteresis Separation Via Water–Soap Bpt Protocol, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Laboratory friction measurements are central to material screening for High-Friction Surface Treatments (HFST), yet metrological aspects including a proposed metrological traceability framework or uncertainty, and reproducibility are consistently underreported. This study applies a metrology-aligned framework to British Pendulum Tester (BPT) measurements performed in three states: dry, wet (water), and water–soap to assess operational adhesion and hysteresis components, document traceability to the International System of Units (SI), and report GUM-style uncertainty with covariance for the adhesion difference. Measurements were obtained for calcined bauxite (CB) and rhyolite (Rhy) in HFST and Coarse gradations across seven polishing protocols (baseline; LAA-1000/2000; MDA-105/180; PSV-10 h/20 …

Optimization Of Bonding Behavior Of Crumb Rubber-Modified (Crm) Asphalt For Sustainable High-Friction Surface Treatment (Hfst) Applications, Abdallah Aboelela, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Binder bonding strength (BBS) is critical to aggregate retention and friction performance in high-friction surface treatment (HFST). Although epoxy resin is traditionally used, asphalt-based binders offer a sustainable alternative; however, their bonding behavior and influence on polishing performance remain insufficiently understood. This study investigated the evolution and optimization of BBS in crumb rubber-modified (CRM) asphalt for rhyolite-based HFSTs. BBS was measured under dry and wet-conditioned states for two CR contents (10% and 15%), two CR types (cryogenic and ambient), two interaction temperatures (170 and 200 °C), and interaction times from 10 to 240 min. HFST performance was assessed using the …

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 …

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 …

Mineral Composition-Driven Competitive Adsorption Behavior Of Superplasticizer In Recycled Concrete Powder-Cement Pastes: Quantification And Validation, Junpeng Du, Tongsheng Zhang, Hongyan Ma, Peiliang Shen, Yiqun Guo, Siqing Zeng, Jiangxiong Wei, Qijun Yu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Recycled concrete powder (RCP) exhibits pronounced variability in mineral component contents, which leads to competitive adsorption of superplasticizers in RCP-Portland cement (PC) pastes and consequently to mineral composition-dependent deviations in rheological properties. In this study, limestone powder (LSP), quartz powder (QZP), and hardened paste powder (HPP) were used to simulate the main components of RCP. Effects of RCPs with target components on the rheological properties of blended cement paste were investigated, and a competitive-adsorption coefficient (CC) was proposed to quantify the competitive adsorption of superplasticizer. Results showed that increasing LSP-enriched RCP content reduced the yield stress of cement paste, primarily …

Multidimensional Total Quality Management And Its Effects On Sustainability And Performance In Industrialized Building System Projects, Felix Delmonte

Mechanical and Civil Engineering Faculty Publications

This study develops and tests a multidimensional total quality management (TQM) framework to explain how distinct quality practices influence environmental sustainability, construction quality, cost and schedule performance, waste reduction, energy efficiency, stakeholder satisfaction, and overall project performance in industrialized building system (IBS) projects. Soft and hard TQM dimensions such as leadership commitment, customer focus, employee involvement, training and continuous improvement, process management, supplier quality, and data driven decision making are operationalised and linked to eight outcome constructs. Partial least squares structural equation modelling (PLS SEM) is used to estimate direct effects and to examine mediation by waste reduction and energy …

Ensemble Learning Framework For Predicting Close Proximity Tire–Pavement Noise On Expressways, Woo Young Cho, Jin Hwan Kim, Guk Gon Song, Kyungnam Kim, Youngguk Seo

Faculty Articles

Traffic noise is a critical public health concern affecting millions of highway users and adjacent residents worldwide. In response, many transportation agencies have adopted functional surface materials to reduce noise at the source on pavement, but assessing their effectiveness remains expensive and logistically challenging. Close Proximity (CPX) testing quantifies tire-pavement noise but requires specialized equipment costing $50,000-$126,000 and is limited to existing pavement, preventing proactive noise assessment during pavement design. This study develops machine learning models to predict CPX noise levels from readily available pavement characteristics, eliminating the need for costly tests during design and planning phases. To train and …

Effect Of Rheology Modification On Fiber Orientation And Dispersion In 3d-Printed Ultra-High-Performance Concrete, Haodao Li, Alfred Addai-Nimoh, Seongho Han, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The extrusion process in 3D concrete printing (3DCP) facilitates horizontal alignment of steel fibers along the printing direction, thus enhancing the load-bearing capacity of printed elements. However, such shear-induced fiber alignment is highly sensitive to rheological properties. This study investigates how variations in dynamic yield stress (τd) and plastic viscosity (μ), influence the extrudability, fiber orientation and dispersion, and anisotropic mechanical behavior of ultra-high-performance concrete (UHPC). Five viscosity-modifying agent (VMA) types were incorporated at two content levels to modify the rheology of printable UHPC. Results showed that moderate VMA additions improved printability, whereas excessive contents markedly increased τd and μ; …

Human-Centered Electric Vehicle Adoption Framework For Smart Mobility: Modeling Perceived Range And Charging Anxiety As A Psychological Barrier, Fatemeh Nazari, Abolfazl (Kouros) Mohammadian, Thomas Stephens

Civil Engineering Faculty Publications

Electric vehicles (EVs) offer a transformative pathway toward reducing the environmental, economic, and health-related externalities of internal combustion engine vehicles in urban settings. Despite substantial advances in battery technology, charging infrastructure expansion, and supportive policy incentives, EV penetration remains limited which poses challenges for smart and sustainable mobility planning. A critical yet insufficiently modeled barrier to adoption lies in the psychological perceptions surrounding electric driving range and charging reliability, which is commonly framed as “range anxiety,” but more broadly reflecting perceived range and charging anxiety. To address this gap, this study introduces a latent psychological construct capturing individuals’ perceived range …

Five-State Seismic Damage Classification Of Steel-Girder Bridges On Soft Soil Using Directional Intensity Measures And Multi-Parameter Damage Indices, Ibrahim Alomari, Woubishet Zewdu Taffese, Mohammad Hossein Afsharmovahed, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Rapid yet accurate post-earthquake damage assessment of highway bridges is essential to ensure transportation network resilience. Traditional inspection, fragility analysis, and finite element modeling are time-consuming or inaccurate for real-time decision-making. This study compares ten machine-learning classifiers for the seismic damage states of highway steel-girder bridges that incorporate directional intensity measures to represent the variance of ground motions. Based on the nonlinear time-history analyses of two Missouri bridges, one Michigan bridge, and one Wisconsin bridge, multi-parameter structural damage indices were proposed and mapped to five damage states from none to collapse. Among ten supervised algorithms studied, the artificial neural network …

A Machine Learning Approach For Water Quality Assessment In The Lower Rio Grande Valley Watershed, Saika Nowshin Nowrin, Chu-Lin Cheng, Jungseok Ho, Jinwoo An, Fatemeh Nazari

Civil Engineering Faculty Publications

Water quality analysis plays an essential role in maintaining the health and sustainability of river ecosystems, especially in semi-arid regions like the Arroyo Colorado Watershed in South Texas. Since the river is a vital source of water supply for local communities, agriculture, and wildlife, it faces significant challenges and pollution from land use changes, climate variation, and agricultural runoff. Continuous monitoring and assessment of water quality parameters and their temporal variability are essential to ensure the drinking water supply and aquatic ecosystem health. However, comprehensive laboratory-based water quality investigations are often constrained by higher costs, logistical complexity, and limited manpower. …

How Does Competitive Adsorption Between Vma And Pce Influence Yield Stress Of Cement Paste? A Novel Insight From Interparticle Forces And Percolation Threshold, Huamin Sun, Le Teng, Xiaohan Yu, Xin Shu, Zhangli Hu, Jiaping Liu, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Viscosity modifying admixture (VMA) and polycarboxylate superplasticizer (PCE) are often combined to optimize rheological properties of cement-based materials. However, the competitive adsorption of these complex admixtures can greatly influence rheological properties. Many studies have investigated the variation of yield stress due to competitive adsorption between VMA and PCE; but the mechanisms are not fully understood. This study aims to shed a new light on this question in cement paste systems prepared with low water-to-binder ratios of 0.16–0.30. The competitive adsorption of VMA and PCE was quantitatively assessed using the Total Organic Carbon and Ultraviolet-Visible Spectroscopy measurements. The effect of competitive …

An Ensemble Learning-Based Approach To Quantify Post-Earthquake Functional Recovery Of A Steel Moment-Resisting Frame Inventory, Mohsen Zaker Esteghamati, Shiva Baddipalli

Civil and Environmental Engineering Faculty Publications

The quest for seismic resiliency requires designing for performance objectives beyond life safety. Functional recovery is an emerging objective often defined as the time required to restore a building’s basic functionality to the pre-event level. Nevertheless, quantifying functional recovery is a complex, computationally intensive process that is challenging to integrate into a standard design workflow. This study develops a machine learning (ML) model to map design and geometric features of steel special moment-resisting frames (SMRFs) to their functional recovery under two hazard levels: design-basis (DBE) and maximum considered (MCE) earthquakes. First, functional recovery time was quantified for an inventory of …

Transforming Dredged Sediment Into Reactive Clay: Critical Review Of Calcination, Reactivity, And Sustainable Valorization As Supplementary Cementitious Material, Seongho Han, Sanghwon Wi, Koochul Ji, Keun Hyeok Yang, Farshad Rajabipour, Kamal H. Khayat, Jinyoung Yoon

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Dredged sediment (DS) is generated worldwide in large volumes through routine port and waterway maintenance, yet its disposal presents environmental and economic challenges. Recently, calcined dredged sediment (CDS) has emerged as a supplementary cementitious material (SCM), offering a viable alternative to traditional SCMs, such as fly ash and slag cement. This review synthesizes current knowledge on the physical, chemical, and mineralogical characteristics of raw DS and pretreatment strategies aimed at dewatering, organic matter removal, and contaminant stabilization. The effects of calcination on the production of reactive amorphous aluminosilicates are also discussed. Emphasis is placed on physicochemical changes revealed by experimental …

Low-Carbon Concrete For Sustainable Construction: A Comprehensive Review Of Performance Characteristics, Implementation Challenges, And Decarbonization Pathways, Fazel Azarhomayun, Jingjie Wei, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Reducing the carbon footprint of concrete has become a central objective in sustainable construction. Low-carbon concrete (LCC), developed primarily through clinker reduction, supplementary cementitious materials, and alternative binder strategies, offers a promising route for lowering embodied emissions while maintaining the performance requirements of structural concrete. This comprehensive review consolidates the current state of knowledge on LCC, identifies critical research and implementation gaps, and examines its material composition, mixture-design methodologies, performance characteristics, structural applications, implementation challenges, and decarbonization pathways. Single-SCM systems have been reported at clinker-replacement levels approaching 50%, although durability at these replacement levels, particularly carbonation resistance, remains system- and …

Recent Advances In The Rheological Properties Of Ultra-High-Performance Concrete: A Critical Review, Le Teng, Kamal H. Khayat, Jiaping Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Ultra-high-performance concrete (UHPC) with adapted rheology continues to attract interest considering the requirement for novel processing techniques such as self-consolidating, pumping, spraying, and three-dimensional (3D) printing. The rheology of UHPC is complex due to its high solid volume fraction, low water content, and wide range of constituent materials that affect its flow properties. This work provides guidance for tailoring the mixture proportioning of UHPC to secure proper rheological properties and performance of UHPC for various applications. In the first part of this work, key physical, physicochemical, and chemical factors that can affect the rheological properties of UHPC are discussed. Rheological …

Field Monitoring And Geometric Representation Of A Uhpc-Repaired Bridge Structure, Robert Lawler

Honors Scholar Theses

Ultra-High Performance Concrete (UHPC) has shown promise in bridge rehabilitation broadly, but its application to steel gusset plate repair represents a novel use case with limited prior research. Therefore, when the Commodore Isaac Hull Bridge in Derby, Connecticut, was issued an emergency declaration due to gusset plate section loss, a UHPC repair was implemented. This project represented the first known field implementation of this type of UHPC gusset plate repair, marking a significant advancement in the rehabilitation of deteriorated steel bridge components. To support long-term performance assessment and ensure the success of the repair, field monitoring efforts were also incorporated …

Optimizing Copper Slag As A Sustainable Precursor For Iron Phosphate Cement: Hydration Mechanism, Phase Transformation, And Environmental Safety, Wei Wang, Hongyan Ma, Xiunan Cai, Dan Luo, Zhicheng Xu, Zhongqiu Luo, Xintao Zhou

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Iron-rich copper slag (CS) has significant potential as a precursor for the synthesis of sustainable acid-base cement (AB). However, the roles and transformation behaviors of the diverse iron phases in CS during hydration remain unclear. In this study, the preparation conditions, early hydration behavior, transformation processes of iron components, and environmental safety of CS-based iron phosphate cement (CS-IPC) were systematically investigated. Under optimized conditions, with a CS/ADP mass ratio of 3.0 and a grinding time of 1.5 h, CS-IPC exhibited an initial setting time of 27.6 min and a flowability of approximately 159 mm. After curing for 3 and 28 …

Steel Corrosion In Underground Transportation Infrastructure, Amr M. Morsy, Islam A. Ebo, Shiv K. Janardhanan

Mineta Transportation Institute

Corrosion of buried steel, a critical component of American transportation infrastructure, remains one of the most insidious challenges due to the uncertainty associated with its estimates. Predicting when and how this corrosion happens is very difficult. This uncertainty grows exponentially with time, making corrosion estimation in the long term even more challenging, especially with buried steel and steel structures, which cannot even be monitored visually. While significant advancement has been made to understand the effect of the various corrosion parameters on soil corrosivity, there is a lack of a comprehensive understanding of how these factors collectively contribute to corrosion as …

Optimization Of The Baffle Geometry Of A Circular Culvert Outlet Structure To Maximize Energy Dissipation, Kiarash Shirmahi

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

High-velocity flow at culvert outlets can lead to significant soil erosion and damage to downstream infrastructure, particularly in agricultural regions where land protection is critical. Circular culverts, commonly used in transportation systems, are especially susceptible to this issue due to flow acceleration caused by geometric constraints and installation angles. Despite extensive research on energy dissipation in rectangular culverts, limited attention has been given to circular configurations. This study addresses this gap by evaluating the hydraulic performance of baffle systems designed to reduce outlet energy in circular culverts.

A series of laboratory experiments was conducted using a scaled physical model of …

Computer Vision And Machine Learning Approaches For Defect Detection In 3d-Printed Cementitious Materials: A Systematic Review, Muhammad Ali Musarat, Ruben Paul Borg, Jingjie Wei, Carl James Debono, Kamal Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

3D printing is evolving at a fast pace in both the manufacturing and construction sectors. These advancements can greatly benefit these industries. However, the 3D printing of concrete structures presents some challenges due to defects in the 3D concrete printed elements. Hence, this study systematically reviews Artificial Intelligence (AI)-driven techniques, such as Computer Vision and Machine Learning, to identify surface defects that can occur in 3D-printed cementitious material structures. The adopted methodology was the PRISMA statement with the aim of reporting the systematic review and meta-analysis. Two well-known databases, Web of Science and Scopus, were utilised for data extraction of …

Factors Affecting Pedestrian-Vehicle Conflicts: An Empirical Analysis, Christo D. Jamo

Honors Scholar Theses

The number of pedestrian deaths increased by 78% between 2009 and 2023, while other motor vehicle crash deaths increased by 13% in the same period [1]. To identify potential pedestrian safety measures, this study analyzed the effects of location-based demographics, pedestrian phasing type, and other physical infrastructure and behavior variables on the probability of pedestrian-vehicle conflicts at signalized intersections, which is a surrogate measure of crash risk. Data were collected from 55 intersections in Connecticut, and the pedestrian-vehicle interactions were classified by severity based on the Swedish Traffic Conflict Technique: undisturbed passage, potential conflict, minor conflict, or serious conflict. Because …

Enameling Coating Of Pipes: Thermal Proprieties And Corrosion Tests, Signo Reis, Genda Chen, Mike Koenigstein, Liang Fan

Materials Science and Engineering Faculty Research & Creative Works

Enamel coating on pipelines can be done in several ways such as the wet process, plasma spray, and electrostatic process. Wet process requires little capital expenses and provides an acceptable finish for industrial applications particularly when the part to be coated is small. Electrostatic process of enamel powder is most promising to coating large pipelines in field conditions. The enamel coating applied by the electrostatic process is very consistent and smooth since each particle is glass only. However, the powder is very fragile until fired and the charge retention is lowered in high humidity conditions. Coupons cut from a full-size …

Problems With Small Drinking Water Systems In Developing And Developed Countries: How Do They Compare?, Kurt Kesteloot

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation compares the factors that drive the long-term functionality of small drinking water systems (serving fewer than 10,000 people) in developing and developed country contexts, with a focus on groundwater supplies. Using regression analysis in SAS and complementary fuzzy-set Qualitative Comparative Analysis (fsQCA) for developing countries, the study integrates two datasets: 23 Engineers Without Borders project surveys (90+ variables across 14 countries) and a multi-year National Park Service inspection dataset (approximately 1,561 systems; 7,460 recorded deficiencies, enriched with U.S. Census ZIP-code aggregates). In developing countries, statistically significant predictors of success include government cash contributions (odds ratio [OR] ≈ 67.6), …