Engineering Commons^™

การประยุกต์ใช้เหล็กกล่องเติมด้วยคอนกรีตกำลังสูงเป็นเสาในโครงสร้างที่พักอาศัย, พีรดนย์ ลอออรรถพงศ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาและประเมินสิทธิภาพของโครงสร้างเหล็กกล่องเติมด้วยคอนกรีตกำลังสูง (High-Strength Concrete-Filled Steel Tube, HSCFST) สำหรับการประยุกต์ใช้กับบ้านพักอาศัย อันเป็นการตอบสนองต่อปัญหาการขาดแคลนแรงงานฝีมือ การเพิ่มขึ้นของค่าแรง และความจำเป็นในการลดระยะเวลาการก่อสร้างและต้นทุน การศึกษาได้พิจารณากรณีบ้านพักอาศัยสูง 3 ชั้น จำนวน 4 หลัง โดยทำการจำลองโครงสร้างด้วยโปรแกรม ETABS เพื่อตรวจสอบพฤติกรรมการรับแรงในแนวดิ่งและแรงจากแผ่นดินไหวของโครงสร้าง ซึ่งการออกแบบเสาเหล็กกล่องเติมด้วยคอนกรีตกำลังสูงอ้างอิงมาตรฐาน AISC 360-22 (LRFD) ผลการออกแบบพบว่าสามารถลดขนาดเสาให้เล็กลงเหลือ 125 มิลลิเมตร และ 150 มิลลิเมตร เพื่อให้มีขนาดไม่เกินความหนาของผนังบ้านได้เมื่อใช้คอนกรีตที่มีกำลังรับแรงอัดสูงกว่า 60 เมกะปาสคาล ร่วมกับเหล็กกล่องชนิดที่มีจำหน่ายในท้องตลาด โดยโครงสร้างที่ได้ออกแบบทั้ง 4 หลัง พบว่ามีประสิทธิภาพในการรับน้ำหนักบรรทุกและแรงแผ่นดินไหวดีกว่าโครงสร้างคอนกรีตเสริมเหล็กแบบเดิมในทุกด้าน ทั้งยังพบว่ามีต้นทุนการก่อสร้างที่ต่ำกว่าเสาคอนกรีตเสริมเหล็กอย่างมีนัยสำคัญ นอกจากนี้ยังได้ทำการทดสอบเสาเหล็กกล่องเติมด้วยคอนกรีตกำลังสูงในห้องปฏิบัติการ เพื่อเปรียบเทียบกำลังรับแรงอัดกับค่าที่ได้จากสมการทำนายตามมาตรฐาน AISC 360-22 พบว่าค่าที่ได้จากการคำนวณมีค่าต่ำกว่าผลการทดสอบจริงค่อนข้างมาก ส่งผลให้เกิดความมั่นใจยิ่งขึ้นต่อการนำเสาเหล็กกล่องเติมด้วยคอนกรีตกำลังสูงไปใช้จริงในงานก่อสร้างบ้านพักอาศัย

Applying Transfer Learning For Street-Scale Nuisance Flood Forecasting In Coastal-Urban Cities, Binata Roy, Jonathan L. Goodall, Diana Mcspadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram

VMASC Publications

An important challenge with Machine Learning (ML) is its transferability; i.e., whether a ML model trained on one set of data can be applied to a second set of data without requiring full re-training of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained on) to the target domain (a second set of data that is statistically different but related, which the model was not trained on). This study investigates the use of TL for street-scale nuisance flood forecasting by exploring whether a ML model trained for one …

Green Chelation Strategy For Deashing Of Algal Biomass, Agyare Asante, George Daramola, Ryan W. Davis, Sandeep Kumar

Civil & Environmental Engineering Faculty Publications

This study investigated a green chelation strategy for deashing algal biomass using nitrilotriacetic acid (NTA) and deionized water (DI) to enhance its suitability for biofuel and bioproduct applications. Solid-state algal turf scrubber (SS ATS), green algal turf scrubber (ATS), and Scenedesmus were analyzed, with Scenedesmus selected for detailed evaluation due to its high ash removal efficiency. The objective was to optimize a purification process that minimizes ash and heavy metal content while preserving biochemical integrity. Algal biomass underwent sequential washing with DI, NTA, and NTA+DI under varying temperatures (90-130 °C). Analytical techniques including Fourier Transform Infrared (FTIR) spectroscopy, Inductively Coupled …

A Global Application Programming Interface-Enabled Earthquake Ground Motion Relational Database For Engineering Applications, Tristan E. Buckreis, Chukwuebuka C. Nweke, Pengfei Wang, Scott J. Brandenberg, Maria E. Ramos-Sepúlveda, Rashid Shams, Shako Mohammed, Renmin Pretell, Silvia Mazzoni, Paolo Zimmaro, Jonathan P. Steward

Civil & Environmental Engineering Faculty Publications

We present a application programming interface (API)-enabled relational database of global earthquake ground motion intensity measures, associated metadata, and processed time-series data. Raw ground motion records were processed by the authors using either manual or semi-automated processing procedures, and every processed record has passed a quality review by a trained analyst. Computed intensity measures include peak acceleration and velocity, pseudo-spectral acceleration response spectra, cumulative absolute velocity, Arias Intensity, and Fourier amplitude spectra. The processed time-series data, associated metadata, and ground motion intensity measures were organized into a web-served relational database consisting of 32 tables connected by primary/foreign key pairs. Ground …

Physics-Informed Deep Learning With Kalman Filter Mixture For Traffic State Prediction, Niharika Deshpande, Hyoshin (John) Park

Engineering Management & Systems Engineering Faculty Publications

Accurate traffic forecasting is crucial for understanding and managing congestion for efficient transportation planning. However, conventional approaches often neglect epistemic uncertainty, which arises from incomplete knowledge across different spatiotemporal scales. This study addresses this challenge by introducing a novel methodology to establish dynamic spatiotemporal correlations that captures the unobserved heterogeneity in travel time through distinct peaks in probability density functions, guided by physics-based principles. We propose an innovative approach to modifying both prediction and correction steps of the Kalman Filter (KF) algorithm by leveraging established spatiotemporal correlations. Central to our approach is the development of a novel deep learning model …

A Bridge Too Low: Solutions For Fermi Questions, May 2025, John Adam

Mathematics & Statistics Faculty Publications

The article discusses a low bridge in Keswick, England, near the River Greta, with an arch shaped like a semiellipse. It presents Fermi questions related to the bridge's dimensions, such as the maximum distance a person of a certain height can walk under it without hitting their head. The solutions involve mathematical calculations and approximations, including the use of formulas provided by the Indian mathematician Srinivasa Ramanujan.

The Pluralistic Natural Capital Values Of A Tropical City, Adrienne Grêt-Regamey, Justine Saunders, Peter Edwards, Daniel Richards, Jahson I. Alemu, Natasha Bhatia, Roman Carrasco, Zuzana Drillet, Tze Kwan Fung, Yan Feng Leon Gaw, Wanggi Jaung, Andrea Law, Rachel Ai Ting Leong, Aikeen Youu Ming Lim, Mahyar Masoudi, Yudhishthra Nathan, Rachel Rui Ying Oh, Wen Ting Ooi, Fairul Edros Ahmad Shaikh Shaikh, Xiao Ping Song, Claudia L.Y. Tan, Puay Yok Tan, Sergio Wicki, Lynn-Wei Wong, Yanyun Yan, Erik Yando, Alex Thiam Koon Yee, Jingyuan Zhang, Daniel A. Friess

Biological Sciences Faculty Publications

Nature in cities is essential for human well-being. Quantifying and valuing the goods and services provided by nature to city dwellers is missing in tropical contexts. Yet, as cities worldwide face similar challenges, understanding the services provided by tropical urban ecosystems becomes imperative for effective management. Here, we present the first Natural Capital Assessment of a tropical city, unveiling three critical insights. Firstly, we demonstrate the vital reliance of a developed tropical city on nature, particularly for climate change mitigation through regulating services. Secondly, we identify intact natural areas as Singapore’s most valuable assets, stressing the significance of the quality …

Experimental Evaluation Of Corrosion Of Strands And Wires To Estimate Corrosion Rate In Grout And Concrete, Dipendra Shrestha

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

Premature failure of prestressed and post-tensioned concrete structures is frequently caused by undetected corrosion of prestressing steel. Although extensive research has addressed corrosion rates in conventionally reinforced concrete, the interpretation of non-destructive parameters, such as half-cell potential (HCP) and concrete/grout resistivity, for estimating corrosion rates in prestressing steel are not adequately investigated.

This research experimentally evaluates chloride-induced corrosion of prestressing steels to establish material-specific relationships between in-situ measurable parameters and corrosion rate. Thirty-six macrocell specimens incorporating plain wires, indented wires, and seven-wire strands in structural concrete and commercial post-tensioning grout- half with pre-formed surface cracks, were subjected to accelerated cyclic …

Centralized Deep Reinforcement Learning For Homogeneous Multi-Component Maintenance Optimization, Joseph W. Wittrock

Theses and Dissertations

This thesis explores an application of reinforcement learning (RL) in maintenance optimization. Recent advances in hardware-accelerated computation and deep learning have made RL a powerful tool for solving optimization problems which are too complex for traditional methods. Maintenance optimization involves improving the efficiency and effectiveness of maintenance activities through data-driven approaches, ultimately reducing costs and increasing asset availability. Making informed maintenance decisions is crucial to long-term sustainability.

A desirable maintenance policy maximizes a utility signal while minimizing the cost of maintenance. Techniques in sequential decision making such as dynamic programming (DP) and RL have found success in optimizing these maintenance …

แนวทางการบูรณาการโครงการความรับผิดชอบต่อสังคม กรณีศึกษากองทัพอากาศไทย, ศิริกัญญารัตน์ สวนสีดา

Chulalongkorn University Theses and Dissertations (Chula ETD)

การศึกษาครั้งนี้มีวัตถุประสงค์เพื่อเสนอแนวทางการบูรณาการโครงการความรับผิดชอบต่อสังคมขององค์กร (CSR Integration) ของกองทัพอากาศให้เชื่อมโยงกับวิสัยทัศน์ พันธกิจ ภารกิจหลักด้านความมั่นคง ยุทธศาสตร์ชาติ 20 ปีและเป้าหมายการพัฒนาที่ยั่งยืน (SDGs) โดยการทบทวนวรรณกรรมร่วมกับการสัมภาษณ์เชิงลึกกับผู้ที่เกี่ยวข้อง ซึ่งผลการศึกษาพบว่า กองทัพอากาศมีศักยภาพอย่างมากในการดําเนินกิจกรรมความรับผิดชอบต่อสังคมขององค์กรที่มุ่งเน้นการช่วยเหลือ สร้างความเข้าใจและความสัมพันธ์อันดีกับประชาชน แต่มีข้อจํากัดสําคัญ ได้แก่ การขาดความต่อเนื่องของโครงการจากการโยกย้ายกําลังพล ขาดระบบส่งต่องาน การประชาสัมพันธ์ที่ไม่ทั่วถึง ซึ่งแนวทางบูรณาการโครงการความรับผิดชอบต่อสังคมของกองทัพอากาศทั้งหมด 5 โครงการ ได้แก่ (1) โครงการด้านสุขภาพและคุณภาพชีวิต (2) โครงการพัฒนาศักยภาพคนและการศึกษา (3) โครงการสังคมปลอดภัยและวัฒนธรรมรับผิดชอบร่วม (4) โครงการชุมชนสีเขียว และ (5) โครงการพลังงานสีเขียวและการรับมือการเปลี่ยนแปลงสภาพภูมิอากาศ จะช่วยให้กิจกรรมความรับผิดชอบต่อสังคมของกองทัพอากาศที่มีอยู่ได้รับการต่อยอดและเชื่อมโยงกับเป้าหมายการพัฒนาที่ยั่งยืน (SDGs) จากเดิม 6 ด้านเป็น 13 ด้าน อีกทั้งขยายผลกรอบแนวคิด The “5 Ps” เพิ่มเติมใน 4 ด้าน ได้แก่ Planet People Prosperity และPartnership ที่ครอบคลุม ESG ได้ทุกด้าน รวมถึงเสนอการพัฒนาเชิงนโยบาย 4 ระดับ ตั้งแต่ระดับยุทธศาสตร์ องค์กร บุคลากร และสังคม เพื่อขับเคลื่อนกองทัพอากาศไปสู่การบูรณาการเชิงยุทธศาสตร์และการสร้างคุณค่าร่วม (CSV) สามารถพัฒนาเป็น “กองทัพเพื่อความมั่นคงและความยั่งยืนแห่งชาติ” ได้อย่างเป็นรูปธรรม

Coastal Flooding Along The Lower Brazos During The Landfall Of Hurricane Beryl -A Model-Based Investigation, Sabiha Tasnuva Khan

Civil Engineering Theses - Archive

Hurricane Beryl generated a complex hydrodynamic response along the Texas coast and Lower Brazos River, producing storm surge, elevated coastal water levels, intense rainfall, and widespread inundation. Low-gradient coastal rivers such as the lower portion of the Brazos River are particularly sensitive to the interaction of these drivers, yet the inland decay of surge energy and its interplay with watershed runoff remain poorly quantified. This study aims to characterize the physical mechanisms controlling water-level amplification, flow reversal, surge attenuation, and inundation development during Hurricane Beryl along the Lower Brazos and to determine the relative contributions of surge and rainfall to …

Stable Oxygen And Hydrogen Isotopic Ratios Of Precipitation And Modelling Of Precipitation Sources In Central Kentucky, Usa, 2017-2022, Ariel Gold-Mccoy

Theses and Dissertations--Civil Engineering

Our goals were to carry out analyses of a multi-year δ¹⁸O and δ²H dataset of precipitation from central Kentucky and to analyze the source of precipitation for storm events from 2017 to 2022. δ¹⁸O and δ²H were measured for 244 weekly precipitation samples collected by the National Atmospheric Deposition Program at Mackville, Kentucky, USA. Modelling precipitation source was carried out using HYSPLIT model for 414 events. Results of δ¹⁸O and δ²H from central Kentucky show: consistent seasonality, including summer highs and winter lows for δ¹⁸O and δ²H; correlation with air temperature; and …

Measuring Accessibility Of Electric Vehicle Charging Infrastructure: A Case Study In Kentucky, Oluwasola Elijah Fagbohun

Theses and Dissertations--Civil Engineering

This thesis assesses spatial accessibility to electric vehicle charging infrastructure across Kentucky by investigating methodological approaches to measure accessibility: provider-topopulation ratios, regional accessibility metrics, and several methods in the family of gravity models. The Enhanced Two-Step Floating Catchment Area method was employed to measure electric vehicle charging station accessibility across Kentucky using a network-based approach in ArcGIS Pro. The analysis integrated 2023 American Community Survey 5-year Census block group data, Kentucky road network datasets, charging station locations from the Alternative Fuels Data Center, and Alternative Fuel Corridor designations. We examined existing infrastructure and proposed stations outlined in the Kentucky electric …

A Scoring Approach For Evaluating And Ranking Complete Streets Projects, Eirini Stavropoulou

Theses and Dissertations--Civil Engineering

Complete Streets is a vital strategy for developing an equitable transportation network that provides access to all users and transportation options to communities. A growing interest in this concept has been noted in the United States, with over 1,700 Complete Streets-related policies implemented nationwide. The Kentucky Transportation Cabinet (KYTC) has developed the “Complete Streets, Roads, and Highways Manual” and the “Complete Streets Policy” aiming to promote a safer and more inclusive transportation system statewide through Complete Streets implementation. A recent KYTC initiative was the development of a scorecard to systematically evaluate Complete Streets projects competing for funding. The scorecard is …

Adjusting Benefit Estimation For Pedestrian And Bicycle Facilities For Kentucky, Dionysios Tzamakos

Theses and Dissertations--Civil Engineering

The growing shift of commuters towards active transportation (AT) in the U.S. has led transportation agencies to place greater emphasis on improving bicycle and pedestrian facilities. Such improvement efforts can be integrated into multi-modal highway planning and development or be implemented through stand-alone pedestrian and bicycle projects both resulting in additional AT demand. Measuring the benefits of infrastructure improvement is central to prioritizing projects, as active transportation contributes to health, congestion reduction, safety, and recreational benefits. This study aims to calibrate the demand estimates for walking and cycling and estimate the associated benefits for the state of Kentucky. Population density …

Advancing Vapor Intrusion Science Using Systematic Frameworks To Foster Informed Decision Making, Hong Cheng Tay

Theses and Dissertations--Civil Engineering

Vapor intrusion, the migration of subsurface vapors into indoor air spaces, is an important source of indoor air contamination to consider at hazardous waste sites contaminated by volatile organic compounds (VOCs). There is considerable uncertainty and variability in the factors that influence vapor intrusion processes, which poses a significant challenge for decision making, despite advancements in vapor intrusion science. This dissertation consolidates knowledge from existing scientific advances and investigates scientific gaps associated with the vapor intrusion preferential pathway conceptual model (i.e. conduit vapor intrusion), associated with the vapor entry pathway into buildings via sewer systems. The overall goal of this …

An Investigation Of The Legitimacy Of The Underlying Assumptions Of The Scs Curve Number Method By Application To Actual Urban Watersheds, Robert K. Peterson

Theses and Dissertations--Civil Engineering

The Soil Conservation Service (SCS) Curve Number (CN) method is widely used to estimate direct runoff, and its TR-55 urban-adapted Curve Numbers are commonly applied in stormwater design. However, the underlying assumptions of the method have been the subject of contemporary review, and concerns remain that these values underestimate runoff in actual urban watersheds. This study evaluates the performance of TR-55 CNs using rainfall–runoff data from twenty real-world urban watersheds in the National Stormwater Quality Database.

Empirical Curve Numbers were derived using two calibration techniques, the asymptotic CN method (CN∞) and a nonlinear least-squares optimization method (CN_LS), and …

Earthquake Wrangler: Leveraging Ios Technology For Earthquake Detection And Early Warning Application To Enhance Public Safety., Luis F. Salome

Theses and Dissertations--Civil Engineering

Earthquakes are devastating natural phenomena and generate secondary hazards such as tsunamis, landslides and fires. Their catastrophic impacts span both developed nations including the United States, Japan, Turkey, and Italy and developing countries such as El Salvador, Haiti, Nepal and the Philippines, where disparities in early warning infrastructure remain important. Seismic events start with stress waves generated by tectonic plate motion, with body waves (P- waves and S-waves) and surface Rayleigh and love waves that carry energy through the earth. While some regions have adopted advanced early warning systems based on seismic hazard models and strong ground motion analysis, others …

Harmful Algal Bloom Prediction Modeling In The Face Of A Changing Climate, Jordan E. Spears

Theses and Dissertations--Civil Engineering

Harmful algal blooms (HABs) in rivers pose significant threats to drinking water quality and public health, yet the predictive understanding of their proliferation remains limited, particularly regarding the influence of flow conditions in large rivers. This thesis addresses the critical knowledge gap of the relationship between seasonal flow variability and HAB proliferation in the Ohio River, with the Markland Pool serving as the primary study site. This study quantified the impact of early summer high flow events (>7500 m³ s^-1) and late summer to early fall low flow conditions (< 1500 m³ s^-1) by integrating …

Simplified Molecular Diagnostics Methods For Environmental Testing Of Pathogens And Other Applications, Mohammad Dehghan Banadaki

Theses and Dissertations--Mechanical and Aerospace Engineering

Environmental Surveillance (ES) has emerged as a powerful tool to monitor the emergence and persistence of a pathogen within a facility or community using wastewater/water analysis. Over the past four years, implementation of ES has experienced an explosive acceleration, driven by efforts to monitor the spread of SARS-CoV-2, which has made ES a routinely used public health tool in many locations. We can now use ES to measure the emergence/presence/abundance of different viruses (e.g., SARS-CoV-2, influenza, mpox), bacteria (e.g., E. coli, V. cholerae, antibiotic-resistant strains), fungi (e.g., C. auris), and other biological markers indicative of infectious diseases. However, its broad …

Quantifying Sedimentation Dynamics Of Regulated River Backwater Confluences With Low-Order Tributaries, Abby Kathryne Berry

Theses and Dissertations--Biosystems and Agricultural Engineering

Sediment dynamics in backwater confluences of regulated rivers have received limited study, despite being recognized as hotspots for sedimentation and nutrient attenuation. Development of management and restoration strategies in these landscapes require improved understanding of fluvial geomorphology and sediment transport dynamics due to the alterations in hydraulic regimes and sediment inputs associated with riverine backwaters. The objective of this study was to couple remote sensing, high frequency sensing, and numerical modeling to quantify drivers of erosion and deposition dynamics within regulated river backwater tributary confluences. To meet the objective of this study, data was collected and analyzed from the Fourpole …

Development Of Generalizable Data-Driven Traffic State Prediction Solutions: A Comprehensive Approach, Md Mobasshir Rashid

Graduate Thesis and Dissertation post-2024

Increased urbanization and population growth lead to more traffic in the transportation system, causing severe congestion. Particularly during disruptive events such as hurricanes or traffic incidents, the traffic flow in the network worsens significantly. As a result, there is a need for data-driven traffic prediction models to reduce congestion in real-time, and the prediction model should be generalizable to be applicable across different dynamic scenarios. Additionally, a robust and adaptable traffic prediction model can help traffic managers to take proactive actions to optimize traffic flow. However, the majority of data-driven traffic prediction models suffer from limited applicability as they are …

Novel Nanomaterial-Based Platforms For Bio-Electrochemical Sensing And Photocatalytic Treatment Of Contaminants Of Emerging Concern In Water, Jonghyun Baik

Graduate Thesis and Dissertation post-2024

This dissertation presents the development of novel nanomaterial-based platforms for bio-electrochemical sensing and photocatalytic treatment of contaminants of emerging concern (CECs) in water, including heavy metals, polycyclic aromatic hydrocarbons (PAHs), per- and polyfluoroalkyl substances (PFAS), and microcystin toxins. Conventional detection and remediation methods are often costly, time-consuming, and impractical for field use. To overcome these limitations, in this dissertation, five distinct platforms were designed, developed, and evaluated under various water conditions.

First, a microbial fuel cell (MFC)-based biosensor was developed for detecting heavy metals (Cu²⁺ and Hg²⁺) and PAHs (benzene and xylene). The system exhibited rapid, linear …

Quantifying Surrogate Safety Measures And Traffic Delays At Mid-Block Pedestrian Crossings Using Video-Based Data Analytics, Md Jamil Ahsan

Graduate Thesis and Dissertation post-2024

This study presents a comprehensive evaluation of midblock pedestrian crossings in terms of safety and traffic efficiency, with a particular focus on the newly implemented Mid-Block Pedestrian Signal (MPS) systems. Extensive CCTV video data were collected across Florida and processed using advanced computer vision techniques, specifically the RT-DETR model for object detection and the ByteTrack algorithm for object tracking, to analyze vehicle-pedestrian interactions in detail. Since there is limited post-implementation crash data available for all locations, Surrogate Safety Measures (SSMs) were employed to assess safety outcomes. Conflict Modification Factors (CoMFs) were estimated using Cross-Sectional (CS), Comparison Group (CG), and Empirical …

Development Of A Data-Driven Decision Support System For Intelligent Traffic Management At Intersections, B M Tazbiul Hassan Anik

Graduate Thesis and Dissertation post-2024

Intersections are complex traffic environments where frequent vehicle and pedestrian interactions can lead to safety- and mobility-critical (SMC) conditions. Identifying these conditions promptly is crucial, as delays may result in missed interventions, thereby heightening crash risk, and diminishing operational efficiency. This dissertation introduces a data-driven, real-time decision support framework for the identification and mitigation of SMC conditions using High-Resolution Traffic Controller Data (HTCD) collected via Automated Traffic Signal Performance Measures (ATSPM) system and Connected Vehicle (CV) data from Signal Analytics. First, an end-to-end analytical pipeline was developed to transform HTCD into actionable safety and mobility measures. A Bayesian beta-binomial framework, …

Considerations Of Undrained Behavior Of Compacted Clay Embankments Under Extreme Wetting-Drying Cycles, Ghada Ellithy, John F. Peters

Publications

Many geotechnical analyses, including slope stability, involve unsaturated soils or soils in thevadose zone. Undrained loading happens when the increase in driving forces occurs quicker thanthe ability of the soil to dissipate its pore-water pressure (PWP). During undrained loading forcompacted clay embankments, in which the material is typically unsaturated, it has beenestablished that the increase in shear strength caused by an increase in confining pressure is largerthan the reduction in shear strength due to a decrease in matric suction. This concept is not wellestablished in engineering practice because the conventional understanding is that the strength ofunsaturated soils is larger than …

Gfrp Reinforced Bridge Barriers: Experiment Testing, Manish Kumar Gadhe

Masters Theses

This study focused on evaluating the performance of concrete bridge barriers reinforced with Glass Fiber Reinforced Polymer (GFRP) compared to those reinforced with conventional mild steel. Four full-scale barriers were constructed, three using GFRP bars as the reinforcement and one with mild steel reinforcement. These were cast on two concrete slabs to ensure consistent support conditions. The use of GFRP aims to address durability concerns associated with steel reinforced concrete (RC), particularly corrosion of these bars in harsh environments.

To simulate real-world impact scenarios, a weighted cart was launched at each barrier using a guided sled system. Sensors, including load …

Prioritizing Amd Impaired Watersheds For Watershed-Scale Restoration Using Multi-Criteria Decision Analysis, James Nicholas Marino

Graduate Theses, Dissertations, and Problem Reports (ETD)

Acid Mine Drainage (AMD) remains a significant environmental challenge in coal-mining and hard rock regions like West Virginia, degrading water quality and ecosystem health. Traditional site-specific remediation efforts often prove inefficient in addressing AMD at large scale. This study explores watershed-scale restoration as a more effective solution, leveraging centralized treatment facilities and multi-source pollution management. This study will follow Multi-criteria Decision Analysis (MCDA), specifically the Analytical Hierarchy Process (AHP), to develop a structured rubric for grading watersheds. The process involves identifying critical criteria, organizing them into a hierarchy, and generating weights for clusters of criteria through collaboration with decision makers. …

Citizen-Centric Building Energy Retrofits: Understanding And Supporting Citizens As Occupants, Participants, Decision-Makers, And Learners In Home Energy Retrofits, Nikhil Singh Yaduvanshi

Civil Engineering Dissertations - Archive

Residential building retrofits remain significantly under-adopted despite substantial technological advances, economic incentives, and policy efforts, creating a critical gap between technical potential and actual implementation in achieving climate goals. Assessment of citizen involvement in building retrofit processes plays a critical role in formulating effective home retrofit program designs to ensure maximum adoption rates and avoid energy waste. Although, existing retrofit programs and decision-making models recognize the importance of citizen involvement, the extent of citizen capabilities and the effects of citizen-centered approaches on retrofit adoption and building performance has not been comprehensively examined. The adoption and success of retrofit programs depends …

Assessment Of The Feasibility Of Utilizing Plastic Waste In Infrastructure To Promote Circular Economy In Bangladesh, Md Lutfor Rahman

Civil Engineering Dissertations - Archive

This study presents a comprehensive assessment of municipal solid waste (MSW) and plastic waste characterization across Bangladesh, with a focus on circular economy opportunities and the long-term economic viability of plastic road. Using on-site waste characterization data for 13 major cities from four geographic zones of Bangladesh —Northwest, Northeast, Southwest, and Southeast—the research identifies food waste as the dominant component of the national waste stream (67.3%), followed by plastic (12.4%), textiles (7.8%), and paper (4.7%). Among plastics, low-density polyethylene (LDPE) overwhelmingly dominates (89.7%), highlighting the continued prevalence of single-use flexible plastics.

A life cycle cost analysis (LCCA) was conducted comparing …