Pavement conditions play a crucial yet overlooked role in transportation energy efficiency and emissions. As pavement roughness increases, vehicles require more energy to operate resulting in higher fuel consumption and emissions output. Prior research has demonstrated that increased pavement roughness, commonly measured using the International Roughness Index (IRI), is associated with vehicle operating costs and fuel consumption. For example, a one-unit increase in IRI has been associated with fuel consumption increases of approximately 1–3% for passenger vehicles. However, the long term implications of pavement deterioration, and their interactions with vehicle speed and equity performance remain under-explored.
This study models pavement deterioration across Maricopa County, Arizona, and evaluates its impact on vehicle energy use and fuel consumption using the Motor Vehicle Emission Simulator (MOVES). Simulations were conducted for the years 2018 through 2060, with 4-year intervals to capture historical trends and long-term projections. By integrating pavement condition data with regional traffic activity and fleet composition, the analysis quantifies the influence of roadway quality on vehicle operating efficiency and associated emissions, with a focus on carbon dioxide (CO2). Results indicate that increasing IRI significantly increases excessive CO2 emissions, with effects being amplified at higher speeds for ordinary passenger vehicles.
Regression analysis was performed, and shows a large explanatory variable with R2 = 0.99; furthermore statistically significant (p<0.05) coefficient for IRI and IRI * speed2indicates that pavement roughness increases emissions and this effect intensifies at higher speeds across all vehicle types, from passenger cars to long-haul trucks. These findings highlight the importance of incorporating pavement conditions into long-term transportation and environmental planning frameworks.
Braiding Indigenous Worldviews with Modern Civil Engineering Practices to Create More Ecocentric Designs
Presenter: Cynthia Kaleebu Faculty Sponsor: Mark Roblee School: UMass Amherst Research Area: Civil Engineering Location: Poster Session 4, 2:15 PM - 3:00 PM: Campus Center Auditorium [A80]
As climate change intensifies floods, landslides, and extreme weather events,
conventional civil engineering approaches are increasingly revealed as environmentally
unsustainable and socially disruptive. Large-scale river infrastructure such as dams is
often celebrated for renewable energy production, yet these projects fundamentally alter
hydrological systems, damage ecosystems, and displace Indigenous communities. The
prevailing human-centered model of development prioritizes technical efficiency and
economic gain while marginalizing ecological balance and Indigenous knowledge
systems.
This research investigates the environmental and social consequences of dam
construction alongside the growing movement to recognize the legal rights of rivers. By
braiding Indigenous ecological worldviews with modern engineering practice, the
project seeks to challenge the assumption that infrastructure must dominate or reshape
natural systems. Through qualitative and quantitative analysis including literature
reviews, environmental data, and case studies of dam projects and river personhood
laws, this study will identify patterns connecting climate vulnerability, ecological
degradation, and engineering design choices. Sources will include scholarly archives,
interdisciplinary research, and expert insight across engineering, environmental studies,
and law.
The goal is to propose a climate-responsive framework for civil engineering that works
with natural geological and hydrological processes rather than against them, while also
abiding to the river rights. This research is personally significant because I have
witnessed how flooding and landslides, intensified by human construction practices,
devastate communities. By integrating Indigenous perspectives into infrastructure
design, this project aims to contribute to policy, educational, and engineering shifts that
promote resilient, adaptive, and socially just development in a changing climate.
Hurricane Impacts on Parked and Idling Blades of an Offshore Wind Turbine
Presenter: Margaret Williams Faculty Sponsor: Sanjay Arwade School: UMass Amherst Research Area: Civil Engineering Location: Poster Session 4, 2:15 PM - 3:00 PM: Campus Center Auditorium [A81]
Offshore wind energy has emerged as a leading solution to the increasing energy demand and climate crisis, and it is imperative to understand the impacts of environmental factors like hurricanes on turbines. When analyzing the impacts of hurricanes on offshore wind turbines, one parameter to consider is the blade positioning and loading impacts. During hurricane events, offshore wind turbine blades are typically idling in a feathered position. Idling cases present complex data and more variable outputs in comparison to a parked blade case. A question arises, therefore, in comparing maximum blade loads and other relevant parameters for both idling and parked blade conditions, to determine whether these cases are similar. This study will investigate this question by modeling the IEA Wind 15-Megawatt Offshore Reference Monopile Wind Turbine during hurricane conditions through OpenFAST. The wind field characteristics that will be evaluated include wind shear, wind veer, and turbulence. Under a few of these varying conditions, it was observed that the extreme values for blade bending moments of the parked and idling cases are similar. These findings suggest that when evaluating these parameters under the specific similar wind field conditions, the parked blade configuration may be used to represent the idling case while under other cases it may not.
Societal Impacts of Earthquake Risk in San Francisco Using GIS Analysis of Building Characteristics
The county of San Francisco, California consistently faces the threat of seismic activity due to its distinct location along the San Andreas Fault system. Earthquakes pose a unique risk to the study of civil engineering, as their impacts are unpredictable but can be wildly damaging. Because earthquakes in this region are inevitable, the critical question is not whether they will occur, but how the city’s built environment will influence community resilience when they do. My research is concentrated on examining the societal impacts of earthquakes in San Francisco through a Geographic Information Systems (GIS) analysis of building characteristics. Using data from the National Structure Inventory (NSI), this study evaluates 222,782 structures across 38 occupancy types, with a focus on 25 emergency-relevant categories such as residential buildings, schools, and healthcare facilities. Rather than concentrating solely on structural failure, my research focuses on how infrastructure performance and quality can significantly influence societal groups. Namely, this includes community access to housing, healthcare, education, and essential services. Building attributes such as construction material, age, occupancy type, structural value, and geographic location can also be analyzed to identify patterns of vulnerability across various neighborhoods. Finally, I will provide additional focus to Environmental Justice (EJ) communities, examining whether historically underserved and lower-income neighborhoods face disproportionate infrastructure risk in the face of natural disasters.
Particle Degradation and Behavioral Transition in Glauconite Sands Under Simulated Pile Driving Stresses
Presenter: Daniel Benno Jaffe Faculty Sponsor: Zachary Westgate School: UMass Amherst Research Area: Civil Engineering Location: Poster Session 4, 2:15 PM - 3:00 PM: Campus Center Auditorium [A83]
Unlike many crushable sands, glauconite can exhibit measurable changes in plasticity during particle degradation, a behavior that may significantly influence soil–structure interaction and the performance of monopile foundations used in offshore wind systems. During pile installation, glauconitic soils may experience intense and poorly characterized stress regimes that promote rapid grain crushing, creating uncertainty in foundation response and long-term reliability. This study focuses on mechanical degradation using large ball milling to simulate extreme crushing conditions representative of these stresses, examining five authigenic glauconite outcrop sands from the Hornerstown and Navesink formations. Ball milling results demonstrate substantial increases in fines content, with variable effects on plasticity depending on the crushing mechanism and mineral release, indicating a shift in soil behavior toward more compressible and potentially less permeable conditions. One-dimensional compression and dispersion testing provide comparative context by illustrating how glauconite responds under conventional loading paths; however, they do not replicate the combined vertical and shearing stresses simulated by ball milling. Together, the results show that the degradation mechanism and stress environment strongly govern the evolution of glauconite engineering properties. Improved understanding of glauconite behavior across stress regimes supports more reliable interpretation of laboratory index tests and better prediction of soil response during monopile installation and in-place loading, contributing to safer and more efficient offshore foundation design.
Presenter: Minh K. Nguyen Group Members: Thu Pham Faculty Sponsor: Christian David Guzman School: UMass Amherst Research Area: Civil Engineering Location: Poster Session 4, 2:15 PM - 3:00 PM: Campus Center Auditorium [A84]
The purpose of this project is to examine the long-term operational viability of wave-energy harvesting systems from a Civil and Environmental Engineering perspective. The project focuses on identifying structural and environmental challenges - including cyclic and extreme wave loading, erosion, saltwater corrosion, and biofouling—that impact system longevity. Understanding these challenges is essential for advancing wave-energy technologies toward sustainable, long-term deployment.
In this project, besides reviewing literature on wave energy systems and marine infrastructure, several fundamental equations are used to illustrate fatigue mechanisms under periodic and extreme wave loading, erosion, and the influence of surface conditions (biofouling) on flow behavior and system performance. These analyses are performed based on mechanical principles, integrating fatigue theory, hydraulic loading, and surface roughness effects. Biofouling is not considered a barrier but rather a surface condition that may reduce system efficiency; its underlying processes are also examined to identify potential control measures. This research suggests that failures in wave energy harvesting systems arise from interacting structural and environmental factors operating in recurring cycles over long periods, underscoring the need for integrated engineering solutions.
The project hypothesizes that a thorough understanding of biofouling processes, combined with effective structural design strategies, can minimize the impact of biofouling on flow behavior and structural loading. This integrated approach underscores the importance of considering both mechanical and environmental processes in the design of marine energy systems. The research results aim to guide future research directions focusing on sustainable, long-lasting wave energy structures, contributing to the broader effort toward the deployment of clean, renewable energy.
Assessing Disinfection Byproduct (DBP) Formation During the Electrochemical Degradation of Per- and Polyfluoroalkyl Substances (PFAS)
Presenter: Annabella Colavito Faculty Sponsor: Sean T. McBeath School: UMass Amherst Research Area: Civil Engineering Location: Poster Session 5, 3:15 PM - 4:00 PM: Room 163 [C29]
Per‑ and polyfluoroalkyl substances (PFAS), are persistent pollutants found in both natural and engineered water systems due to their chemical stability, attributed to the strength of carbon‑fluorine (C-F) bonds. Traditional water treatment processes including granular activated carbon, ion‑exchange and reverse osmosis physically separate PFAS from water, but generate concentrated waste streams that require further disposal and treatment to avoid recontamination. Emerging destructive technologies such as electrochemical oxidation (EO) using boron doped diamond (BDD) anodes have demonstrated the ability to break C–F bonds, however complex matrices and the presence of co-contaminants can alter reaction pathways, suppress degradation, or lead to the formation of intermediate species. Under these conditions, constituents can participate in simultaneous secondary reactions that generate disinfection byproducts (DBPs).
This work tests the hypothesis that DBPs form during the EO of highly concentrated PFAS waste streams in complex aqueous environments. Using perfluorooctanoic acid (PFOA) as a model PFAS in various electrolyte matrices, EO degradation is quantified. Additionally, formed DBPs are captured via liquid-liquid Extraction and quantified with a gas chromatography with electron capture detector. By investigating links between PFAS degradation and DBP formation potential, this study highlights that destruction does not guarantee safe water, underscoring the need to assess the formation, fate, and toxicity of unintended byproducts in emerging PFAS treatment strategies.
Identifying Risk Factors in Transit-Related Pedestrian Crashes: A Data-Driven Approach
Presenter: Linhao He Faculty Sponsor: Michael A. Knodler School: UMass Amherst Research Area: Civil Engineering Location: Poster Session 6, 4:15 PM - 5:00 PM: Campus Center Auditorium [A16]
According to the Massachusetts Department of Transportation’s (MassDOT) report on Vulnerable Road User Safety Assessment, 41% of all fatal pedestrian crashes in Massachusetts between 2016 and 2020 occurred around a transit bus stop. This study aims to analyze pedestrian and driver behaviors to identify key factors contributing to pedestrian crashes near bus stops through advanced data processing and engineering methods.
Data was collected at 20 selected bus stops across Massachusetts using MioVision units. MioVision units are a sophisticated camera-based data collection devices specifically designed for roadside deployment. An advanced video analysis rubric was developed, and researchers were assigned to independently code and record pedestrian behaviors. Given the subjective nature of human interpretation and potential for error, a logical coding protocol was designed and implemented to statistically measure their agreement and resolve human entry related errors. Additional refinements were made to the protocol based on pilot tests to ensure high reliability. Furthermore, a custom-designed weighted probability model was developed to process biased data by performing an inner join of entries from different researchers. The validated video data from the weighted probability model was then geographically linked to specific bus stops and integrated with infrastructure, traffic, and crash datasets.
These methods provided an immediate practical value by expanding traditional methods utilized for pedestrian safety research that may be subjective in nature. Through integrating behavioral insights with infrastructure analysis and crash prevalence, the study establishes new standards for enhancing pedestrian safety near transit.