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Articles 781 - 810 of 1556
Full-Text Articles in Civil and Environmental Engineering
Optimizing Speed Profiles For Sustainable Train Operation With Wayside Energy Storage Systems, Leon A. Allen
Optimizing Speed Profiles For Sustainable Train Operation With Wayside Energy Storage Systems, Leon A. Allen
Dissertations
Large hauling capability and low rolling resistance has put rail transit at the forefront of mass transportation mode sustainability in terms of congestion mitigation and energy conservation. As such, rail vehicles are one of the least energy-intensive modes of transportation and least environmentally polluting. Despite, these positives, improper driving habits and wastage of the braking energy through dissipation in braking resistors result in unnecessary consumption, extra costs to the operator and increased atmospheric greenhouse gas emissions.
This study presents an intelligent method for the optimization of the number and locations of wayside energy storage system (WESS) units that maximize the …
Planning Methodology For Alternative Intersection Design And Selection, Liran Chen
Planning Methodology For Alternative Intersection Design And Selection, Liran Chen
Dissertations
The recent publication of the 6th Edition of the Highway Capacity Manual included a chapter on Ramp Terminals and Alternative Intersections that introduces various alternative intersection designs and assesses the performance of Median U-turn, Restricted crossing U-turn and Displaced left-turn intersections. Missing from the literature is an alternative intersection selection tool for identifying whether an alternative intersection would be successful under local conditions. With limited information of organized alternative intersection research, most planners must rely heavily on their personal judgement while selecting the most suitable intersection designs. As appealing as alternative intersections are, there is no comprehensive methodology for planners …
A Self-Learning Intersection Control System For Connected And Automated Vehicles, Ardeshir Mirbakhsh
A Self-Learning Intersection Control System For Connected And Automated Vehicles, Ardeshir Mirbakhsh
Dissertations
This study proposes a Decentralized Sparse Coordination Learning System (DSCLS) based on Deep Reinforcement Learning (DRL) to control intersections under the Connected and Automated Vehicles (CAVs) environment. In this approach, roadway sections are divided into small areas; vehicles try to reserve their desired area ahead of time, based on having a common desired area with other CAVs; the vehicles would be in an independent or coordinated state. Individual CAVs are set accountable for decision-making at each step in both coordinated and independent states. In the training process, CAVs learn to minimize the overall delay at the intersection. Due to the …
Understanding The Interfacial Processes Of Reactive Nanobubbles Toward Agricultural Applications, Xiaonan Shi
Understanding The Interfacial Processes Of Reactive Nanobubbles Toward Agricultural Applications, Xiaonan Shi
Dissertations
There is a growing interest in nanobubble (NB) technology because of its diverse applications (e.g., detergent-free cleaning, water aeration, ultra-sound imaging and intracellular drug delivery, and mineral processing). NBs have a higher efficiency of mass transfer compared to bulk scale bubbles due to the high specific surface areas. The high specific surface also facilitates physical adsorption and chemical reactions in the gas liquid interface. Furthermore, the collapse of NBs creates shock waves and the formation of hydroxyl radicals (OH).
However, it remains elusive why or how NBs are stabilized in water and particularly, the states of internal pressures of NBs …
Reactive Iron Mineral Coatings In Redox Transition Zones Of A Site With Historical Contamination: Abiotic Attenuation, Xin Yin
Dissertations
Reactive iron mineral coatings are found throughout reduction-oxidation (redox) transition zones and play a significant role in contaminant transformation processes. In this study, an 18.3-meter core is collected, subsampled, and preserved under anoxic conditions to maintain its original redox state. Screening analyses are conducted at sampling increments of 5.08 cm in depth for the following: elemental concentrations with X-ray fluorescence (XRF), sediment pH, sediment oxidation-reduction potential (ORP), total volatile organic carbon (TVOC) in the sample headspace, and abundant bacteria (16S rRNA sequencing). Using the Fe and S gradients correlated with microbial data, five RTZs are delineated. To characterize iron mineral …
The Impact Of Material And Environmental Properties On The Ettringite - Metaettringite Thermochemical Reaction, Aaron Strand
The Impact Of Material And Environmental Properties On The Ettringite - Metaettringite Thermochemical Reaction, Aaron Strand
Dissertations
The use of energy is an essential need for people, with demand constantly increasing due to an increasing population and an increase in living and comfort standards. Since 1965, world energy consumption has quadrupled. During peak utilization, the strain on the grid infrastructure can be immense. As energy demand fluctuates during different times of the day and year, the energy production needs to scale accordingly This creates inefficiencies within the system such as over building generation capacity or losses from start up or ramping up production. This can be alleviated through load leveling where excess energy generated during low demand …
Integrating Deep Learning And Hydrodynamic Modeling To Improve The Great Lakes Forecast, Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang
Integrating Deep Learning And Hydrodynamic Modeling To Improve The Great Lakes Forecast, Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang
Michigan Tech Publications, Part 1
The Laurentian Great Lakes, one of the world’s largest surface freshwater systems, pose a modeling challenge in seasonal forecast and climate projection. While physics-based hydrodynamic modeling is a fundamental approach, improving the forecast accuracy remains critical. In recent years, machine learning (ML) has quickly emerged in geoscience applications, but its application to the Great Lakes hydrodynamic prediction is still in its early stages. This work is the first one to explore a deep learning approach to predicting spatiotemporal distributions of the lake surface temperature (LST) in the Great Lakes. Our study shows that the Long Short-Term Memory (LSTM) neural network, …
Partial Systems' Analysis Of Traffic Noise Reduction In Tarik Al Jadidah, Beirut, Ibtihal Y. El-Bastawissi, Nour El Baba, Shireen Khalil, Nour El Hage, Rouba Joumblat, Franz Gatzweiler
Partial Systems' Analysis Of Traffic Noise Reduction In Tarik Al Jadidah, Beirut, Ibtihal Y. El-Bastawissi, Nour El Baba, Shireen Khalil, Nour El Hage, Rouba Joumblat, Franz Gatzweiler
BAU Journal - Creative Sustainable Development
Traffic noise is considered one of the main pollutants in an urban space and has multiple side effects regarding the physical and mental health of the human being. Tarik Al Jadidah, one of the most densely populated neighborhoods in Beirut City- Lebanon, is selected as urban area for a project-based initiative and the focal point of different studies in BAU Urban Lab. The area suffers from various urban problems, but prominently traffic noise that highly damages the urban residents' quality of life due to its high levels of traffic noise that surpasses the World Health Organization (WHO) guidelines.
BAU Urban …
Northern Sea Route As An Emerging Option For Global Transport Networks: A Policy Perspective, Stavros Karamperidis, Nikolaos Valantasis Kanellos
Northern Sea Route As An Emerging Option For Global Transport Networks: A Policy Perspective, Stavros Karamperidis, Nikolaos Valantasis Kanellos
Articles
The Northern Sea Route (NSR) is an emerging alternative route to the Suez Canal; however, inconclusive research exists on its benefits and viability. This paper uses a two-stage Delphi approach to collect qualitative data from experts, on what actions Nordic countries[1] can undertake to prepare themselves to enter NSR and capture potential benefits deriving from trading in global transport networks. By conceptually developing a framework based on First Movers Advantage (FMA) and Dynamic Capabilities Theory (DCT), this paper empirically identifies a path to develop capabilities that could allow stakeholders to reduce logistics costs through collaborations in NSR. Our paper …
An Injury Severity Prediction-Driven Accident Prevention System, Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho
An Injury Severity Prediction-Driven Accident Prevention System, Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho
College of Science & Mathematics Departmental Research
Traffic accidents are inevitable events that occur unexpectedly and unintentionally. Therefore, analyzing traffic data is essential to prevent fatal accidents. Traffic data analysis provided insights into significant factors and driver behavioral patterns causing accidents. Combining these patterns and the prediction model into an accident prevention system can assist in reducing and preventing traffic accidents. This study applied various machine learning models, including neural network, ordinal regression, decision tree, support vector machines, and logistic regression to have a robust prediction model in injury severity. The trained model provides timely and accurate predictions on accident occurrence and injury severity using real-world traffic …
Enhancement Of Cement Paste With Carboxylated Carbon Nanotubes And Poly(Vinyl Alcohol), Yuyang Zhao, Jinrui Zhang, Gang Qiao, Dongshuai Hou, Biqin Dong, Hongyan Ma
Enhancement Of Cement Paste With Carboxylated Carbon Nanotubes And Poly(Vinyl Alcohol), Yuyang Zhao, Jinrui Zhang, Gang Qiao, Dongshuai Hou, Biqin Dong, Hongyan Ma
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Cement has been a major consumable material for construction in the world since its invention, but its low flexural strength is the main defect affecting the service life of structures. To adapt cement-based materials to a more stringent environment, carboxylated carbon nanotubes (CNTs-COOH) and poly(vinyl alcohol) (PVA) are proposed to enhance the mechanical properties of cement paste. This study systematically verifies the synergistic effect of CNTs-COOH/PVA on the performance of cement paste. First, UV-Vis spectroscopy and FTIR spectroscopy prove that CNTs-COOH can provide attachment sites for PVA and PVA can improve the dispersion and stability of CNTs-COOH in water, which …
Assessing The Effectiveness Of Problem-Based Learning Across Two Concrete Construction Courses, Anthony Torres, Jiong Hu, Vedaraman Sriraman, Araceli Martínez-Ortiz, Jorge Membrillo-Hernández
Assessing The Effectiveness Of Problem-Based Learning Across Two Concrete Construction Courses, Anthony Torres, Jiong Hu, Vedaraman Sriraman, Araceli Martínez-Ortiz, Jorge Membrillo-Hernández
Department of Civil and Environmental Engineering: Faculty Publications
The goal of this study is to assess the effectiveness of a Problem-Based Learning (PBL) pedagogy that was implemented in two different concrete construction courses. Both courses are a part of an industry focused four-year undergraduate concrete degree program. One of the classes focused on concrete problems, diagnosis, and repair of existing concrete, while the other class focused on handling and management methods of various concrete mixtures. In both courses, a PBL pedagogy was implemented such that students were self-learning and discovering the knowledge through an action-research case study. The action-research case study was specific to the course outcomes relevant …
Casm-Amfmnet: A Network Based On Coordinate Attention Shuffle Mechanism And Asymmetric Multi-Scale Fusion Module For Classification Of Grape Leaf Diseases, Jiayu Suo, Jialei Zhan, Guoxiong Zhou, Aibin Chen, Yaowen Hu, Weiqi Huang, Weiwei Cai, Yahui Hu, Liujun Li
Casm-Amfmnet: A Network Based On Coordinate Attention Shuffle Mechanism And Asymmetric Multi-Scale Fusion Module For Classification Of Grape Leaf Diseases, Jiayu Suo, Jialei Zhan, Guoxiong Zhou, Aibin Chen, Yaowen Hu, Weiqi Huang, Weiwei Cai, Yahui Hu, Liujun Li
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Grape disease is a significant contributory factor to the decline in grape yield, typically affecting the leaves first. Efficient identification of grape leaf diseases remains a critical unmet need. To mitigate background interference in grape leaf feature extraction and improve the ability to extract small disease spots, by combining the characteristic features of grape leaf diseases, we developed a novel method for disease recognition and classification in this study. First, Gaussian filters Sobel smooth de-noising Laplace operator (GSSL) was employed to reduce image noise and enhance the texture of grape leaves. A novel network designated coordinated attention shuffle mechanism-asymmetric multi-scale …
Final Report - Climbing Robots With Automated Deployments Of Sensors And Nde Devices For Steel Bridge Inspection, Hung La, Son Nguyen
Final Report - Climbing Robots With Automated Deployments Of Sensors And Nde Devices For Steel Bridge Inspection, Hung La, Son Nguyen
Project AS-2
Automated solutions for infrastructure inspection are desirable. However, arduous engineering is delaying our progress. A complete system needs to deal with three main problems: (1) locomotive performance for high complexity of steel bridges including differential curvatures, transitions between beams and obstacles; (2) data collection capability, inclusive of visible and invisible damages, in-depth information such as vibration, coat, and material thickness, etc.; and (3) working condition made up of gust wind. To have such a complete system, this technical report presents novel developments in inspection-climbing robots. Four different robot versions are designed to look for the simplest and most effective configuration …
Evaluating And Incorporating Site Variability In Different Geotechnical Engineering Applications, Md Habibur Rahman
Evaluating And Incorporating Site Variability In Different Geotechnical Engineering Applications, Md Habibur Rahman
LSU Doctoral Dissertations
Site investigation and characterization of subsurface soil conditions are crucial for geotechnical engineering design and analysis. Geotechnical properties vary inherently from one point to another within the same site. This study focused on evaluating the site variability from cone penetration tests (CPT) and soil boring data, and its implementation into the Load and Resistance Factor Design (LRFD) formulation. The total Coefficient of Variation (COVR,total) for each site was estimated from COVR,spatial (Spatial Coefficient of Variation) and COVR,method (Method Coefficient of Variation) which were then used to calibrate the resistance factors (ϕspatial, ϕtotal) …
Our Streets: Increasing Equity In Active Transportation Planning Through Community Outreach, Jordan Hoy
Our Streets: Increasing Equity In Active Transportation Planning Through Community Outreach, Jordan Hoy
Master's Projects and Capstones
ABSTRACT Significant research has demonstrated that active transportation infrastructure is essential for the growth and livability of San Francisco: it increases access to economic opportunities, promotes overall improved public health, encourages mobility without contributing to roadway congestion, prevents traffic injuries and fatalities, and supports the sustainability goals of the city. Despite the fact that communities of color will benefit the most from active transportation infrastructure development, historical disenfranchisement in tandem with a lack of diverse representation within public participation contributes to an inequitable distribution of walking and biking investments throughout the city of San Francisco. While research shows that Black …
Hydrodynamic Limitations To Mangrove Seedling Retention In Subtropical Estuaries, Kelly M. Kibler, Christian Pilato, Linda Walters, Melinda Donnelly, Jyotismita Taye
Hydrodynamic Limitations To Mangrove Seedling Retention In Subtropical Estuaries, Kelly M. Kibler, Christian Pilato, Linda Walters, Melinda Donnelly, Jyotismita Taye
Flow-biota Interaction and Natural Infrastructure Design
Mangrove forest sustainability hinges upon propagule recruitment and seedling retention. This study evaluates biophysical limitations to mangrove seedling persistence by measuring anchoring force of two mangrove species (Rhizophora mangle and Avicennia germinans). Anchoring force was measured in 362 seedlings via lateral pull-tests administered in mangrove forests of two subtropical estuaries and in laboratory-based experiments. Removal mechanism varied with seedling age: newly-established seedlings failed due to root pull-out while seedlings older than 3 months failed by root breakage. Anchoring force of R. mangle seedlings was consistently and significantly greater than A. germinans (GLM: p = 0.002), however force to …
A Review Of Current Construction Guidelines To Inform The Design Of Rammed Earth Houses In Seismically Active Zones, David Thompson, Charles Augarde, Juan Pablo Osorio
A Review Of Current Construction Guidelines To Inform The Design Of Rammed Earth Houses In Seismically Active Zones, David Thompson, Charles Augarde, Juan Pablo Osorio
Articles
Sustainability in the materials we use for construction is a prime concern, focusing on reducing the embodied energy and carbon footprints of the materials used. The cement used in concrete products is responsible for a significant proportion of Man's CO2 emissions and its production requires substantial energy input, as do fired clay products. For this reason, products formed from unfired earthen materials are of increasing interest and the current challenges include devising means of robust design for strength and to address durability concerns. One form of earthen construction that employs an in-situ method is rammed earth, and it is a …
Experimental And Numerical Investigation Of 3d-Printed Viscoelastic Dampers, Mohammed Jaradat
Experimental And Numerical Investigation Of 3d-Printed Viscoelastic Dampers, Mohammed Jaradat
Civil Engineering ETDs
Elastomeric materials are extensively used in energy dissipation applications to mitigate large lateral displacements and attenuate vibrations. One way of exploiting the capabilities of elastomeric materials is using shear-damping mechanisms such as viscoelastic damping devices (VEDs).
In this research the freedom of design offered by additive manufacturing technology is utilized to produce 3D printed elastomeric parts that act as the viscoelastic layer in an energy damping device. A mechanically interlocked viscoelastic damper (MIVED) with a jigsaw-like interlocking mechanism was designed and manufactured. MIVED is composed of a rigid and soft phase. It operates in two modes, modes I and II, …
A Circular Economy Approach To Improve E-Waste Recycling In California: Economic Potential And Policy Options, Kripa Shah
Master's Projects and Capstones
The higher consumption rates of electronic devices along with their short life cycles and few repair options poses a huge challenge for E-waste industries to manage them effectively. E-waste comprises of hazardous materials and toxic constituents that can affect the environment and public health through improper disposal. However, they also contain few valuable materials that, if recovered, can reduce the dependence on virgin raw materials. Circular economy has the potential to utilize these valuable materials and gain environment and socio-economic benefits. The research explains how the adoption of a circular economy approach can help improve the E-waste recycling in California …
A Segmentation-Guided Deep Learning Framework For Leaf Counting, Xijian Fan, Rui Zhou, Tardi Tjahjadi, Sruti Das Choudhury, Qiaolin Ye
A Segmentation-Guided Deep Learning Framework For Leaf Counting, Xijian Fan, Rui Zhou, Tardi Tjahjadi, Sruti Das Choudhury, Qiaolin Ye
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Deep learning-based methods have recently provided a means to rapidly and effectively extract various plant traits due to their powerful ability to depict a plant image across a variety of species and growth conditions. In this study, we focus on dealing with two fundamental tasks in plant phenotyping, i.e., plant segmentation and leaf counting, and propose a two-steam deep learning framework for segmenting plants and counting leaves with various size and shape from two-dimensional plant images. In the first stream, a multi-scale segmentation model using spatial pyramid is developed to extract leaves with different size and shape, where the fine-grained …
Towards A Cybersecurity Testbed For Agricultural Vehicles And Environments, Mark Freyhof, George Grispos, Santosh Pitla, Cody Stolle
Towards A Cybersecurity Testbed For Agricultural Vehicles And Environments, Mark Freyhof, George Grispos, Santosh Pitla, Cody Stolle
Department of Agricultural and Biological Systems Engineering: Faculty Publications
In today’s modern farm, an increasing number of agricultural systems and vehicles are connected to the Internet. While the benefits of networked agricultural machinery are attractive, this technological shift is also creating an environment that is conducive to cyberattacks. While previous research has focused on general cybersecurity concerns in the farming and agricultural industries, minimal research has focused on techniques for identifying security vulnerabilities within actual agricultural systems that could be exploited by cybercriminals. Hence, this paper presents STAVE – a Security Testbed for Agricultural Vehicles and Environments – as a potential solution to assist with the identification of cybersecurity …
Intelligent Work Zone Using Automatic Queue Detection Systems, Li Zhao, Laurence Rilett, Ernest Tufuor
Intelligent Work Zone Using Automatic Queue Detection Systems, Li Zhao, Laurence Rilett, Ernest Tufuor
Nebraska Department of Transportation: Research Reports
This report documents the the evaluation of the effectiveness of the Advanced Queue Detection (AQD) systems installed on Interstate work zones in Nebraska. Specifically, (1) the system performance was verified by examining whether the messages displayed on the portable dynamic message signs (PDMS) were consistent with the underlying AQD logic; (2) the system efficacy was measured by determining whether driver speeds were reduced when warning messages were provided on the PDMS; and (3) the system safety impact was modeled using statistical models. It was found that overall, the AQD systems had an error rate of 0.7% – 2.3%. Drivers reduced …
Investigation Of Elastic Parameters And Pavement Modeling With Eps Geofoam, Engda Kassahun Temesgen
Investigation Of Elastic Parameters And Pavement Modeling With Eps Geofoam, Engda Kassahun Temesgen
Dissertations - ALL
Models using EPS geofoam rely on input elastic parameters derived from compression tests on small size samples. Young's modulus and Poisson's ratio are parameters required to model isotropic and homogenous material behavior. For the most widely used EPS density grade of 20 Kg/m3 (1.25 pcf), Young's modulus of 4 MPa and Poisson's ratio of 0.1 are commonly used. Use of these values in models led to unreasonable long term deformation predictions that contradicted with field observations. Tests on small samples are prone to edge effects. Edge effects in turn result in underestimation of input elastic parameters. Alternative tests and sensing …
Transformational Leadership And The Adoption Of Sustainability And Asset Management Practices In Ground Transportation Organizations, Mohammad M. Bushahri
Transformational Leadership And The Adoption Of Sustainability And Asset Management Practices In Ground Transportation Organizations, Mohammad M. Bushahri
Dissertations - ALL
The unprecedented challenges the infrastructure domain has been facing for the past few decades are forcing the authorities and owners of relevant organizations, particularly within the ground transportation sector, to introduce more innovative measures and to mitigate risks by embracing and adopting sustainability and asset management practices. This study examined the relationship between transformational leadership and the embracing and adopting of sustainability and asset management practices in the U.S. ground transportation sector. Further, this study assessed the mediation effect of organizational innovation on the relationship between transformational leadership style and the leaders' perception in terms of adaptation of sustainability and …
Urban Air Mobility: Envisioning Uam As An Integrated Form Of Future Transport - A Las Vegas Case Study, Osarodion Victory Igbinobaro
Urban Air Mobility: Envisioning Uam As An Integrated Form Of Future Transport - A Las Vegas Case Study, Osarodion Victory Igbinobaro
Hospitality Design Graduate Student Capstones
Rapid urbanization has resulted in more people moving to cities to live and work. By 2030, an estimated 5 billion people will live in urban areas representing about 60% of the world's population. This increase in population growth brings forth new mobility challenges and opportunities for city planners, importantly, the challenge of transporting people and goods to their destinations in the most efficient, safe, quick and sustainable manner.
Traffic congestion, greenhouse gas emissions from vehicles, the cost of maintaining existing and building new transportation infrastructure are among several reasons why many cities seek sustainable alternatives to compliment their existing transport …
A Model For The Sustainable Achievement Of The Optimum Return For Crops In Greenhouses, Eman Elnahas
A Model For The Sustainable Achievement Of The Optimum Return For Crops In Greenhouses, Eman Elnahas
Theses and Dissertations
This study provides a tool for accurate estimation of the irrigation water needs for various crop combinations under different environmental conditions; and employs a genetic optimization algorithm to reach optimum combinations. In the interest of sustainability, the source of energy required to drive the pumps is selected to be a renewable source, namely solar energy, which is converted to electricity employing photovoltaic (PV) modules. Having a single crop will lead to an uneconomical system because the PV installed capacity will not be exploited most of the time.
This research was conducted by establishing the required database, generating different scenarios, assessing …
Equity Of Urban Neighborhood Infrastructure: A Data-Driven Assessment, Zheng Li
Equity Of Urban Neighborhood Infrastructure: A Data-Driven Assessment, Zheng Li
Civil and Environmental Engineering Theses and Dissertations
Neighborhood infrastructure, such as sidewalks, medical facilities, public transit, community gathering places, and tree canopy, provides essential support for safe, healthy, and
resilient communities. This thesis proposes, develops, and implements an innovative approach to thoroughly examine the presence and condition of neighborhood infrastructure.
It demonstrates the necessity of considering multiple infrastructure types when studying
neighborhood infrastructure and its equity. This thesis provides an automated assessment
framework as well as case studies among four major metropolitan cities across the United
States, which expands the research opportunities for future infrastructure-related research.
Modeling Framework And Solution Methodologies For On-Demand Mobility Services With Ridesharing And Transfer Options, Sepide Lotfi
Modeling Framework And Solution Methodologies For On-Demand Mobility Services With Ridesharing And Transfer Options, Sepide Lotfi
Civil and Environmental Engineering Theses and Dissertations
The growing complexity of the urban travel pattern and its related traffic congestion, along with the extensive usage of mobile phones, invigorated On-Demand Mobility Services (ODMS) and opened the door to the emergence of Transportation Network Companies (TNC). By adopting the shared economy paradigm, TNCs enable private car owners to provide transportation services to passengers by providing user-friendly mobile phone applications that efficiently match passengers to service providers. Considering the high level of flexibility, convenience, and reliability of ODMS, compared to those offered by traditional public transportation systems, many metropolitan areas in the United States and abroad have reported rapid …
Mechanical Property Relationships Of Cement Or Lime Stabilized Soils Throughout A Pavement's Life, Leigh E.W. Ayers
Mechanical Property Relationships Of Cement Or Lime Stabilized Soils Throughout A Pavement's Life, Leigh E.W. Ayers
Theses and Dissertations
Soil-cement is an integral part of pavement design, especially in areas that are aggregate deprived, such as Mississippi. Current designs are reliant on the relationship of unconfined compressive strength (UCS) to other mechanical properties. The other properties discussed in this dissertation are Modulus of Elasticity (E), Indirect Tensile Strength (St), and Modulus of Rupture (MOR). This dissertation includes a comprehensive review of past design methods and mechanical property relationships. While some mechanical property relationships were shown to be well understood (i.e. St to UCS), others were not as accurate, especially for the later life mechanical properties (i.e. MOR to UCS …