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Articles 1201 - 1230 of 21777
Full-Text Articles in Engineering
Hanford Low-Activity Waste Vitrification: A Review, José Marcial, Brian J. Riley, Albert A. Kruger, Charmayne E. Lonergan, John D. Vienna
Hanford Low-Activity Waste Vitrification: A Review, José Marcial, Brian J. Riley, Albert A. Kruger, Charmayne E. Lonergan, John D. Vienna
Materials Science and Engineering Faculty Research & Creative Works
This Paper Summarizes the Vast Body of Literature (Over 200 Documents) Related to Vitrification of the Low-Activity Waste (LAW) Fraction of the Hanford Tank Wastes. Details Are Provided on the Origins of the Hanford Tank Wastes that Resulted from Nuclear Operations Conducted between 1944 and 1989 to Support Nuclear Weapons Production. Waste Treatment Processes Are Described, Including the Baseline Process to Separate the Tank Waste into LAW and High-Level Waste Fractions, and the LAW Vitrification Facility Being Started at Hanford. Significant Focus is Placed on the Glass Composition Development and the Property-Composition Relationships for Hanford LAW Glasses. Glass Disposal Plans …
Tough Monolayer Silver Nanowire-Reinforced Double-Layer Graphene, Yanxiao Li, Congjie Wei, Steven E. Kooi, David Veysset, Chuanrui Guo, Yuxiang Gan, Ying Zhuo, Genda Chen, Mohammad Naraghi, Keith A. Nelson, Chenglin Wu
Tough Monolayer Silver Nanowire-Reinforced Double-Layer Graphene, Yanxiao Li, Congjie Wei, Steven E. Kooi, David Veysset, Chuanrui Guo, Yuxiang Gan, Ying Zhuo, Genda Chen, Mohammad Naraghi, Keith A. Nelson, Chenglin Wu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Mixed-dimensional nanomaterials composed of one-dimensional (1D) and two-dimensional (2D) nanomaterials, such as graphene-silver nanowire (AgNW) composite sandwiched structures, are promising candidates as building blocks for multifunctional structures and materials. However, their mechanical behavior and failure mechanism have not yet been fully understood. In this work, we have performed integrated experimental, theoretical, and numerical studies to explore the performance and failure modes of graphene-AgNW composite under tensile and impact loading conditions. In situ tensile tests using a nano indenter, implemented with a push-to-pull device and a laser-induced projectile impact test system, are used to shed light on load-bearing mechanisms in graphene-AgNW …
Identifying And Exploring Construction Pm Evolution And Research Directions, Jeffrey S. Russell, Islam H. El-Adaway, Ramy Khalef, Fareed Salih, Gasser Ali
Identifying And Exploring Construction Pm Evolution And Research Directions, Jeffrey S. Russell, Islam H. El-Adaway, Ramy Khalef, Fareed Salih, Gasser Ali
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Project Management (PM) Is The Process Of Organization, Allocation, And Control Of Resources To Achieve A Specific Goal. Previously, PM Focused On Planning And Executing Projects According To Predetermined Objectives, But It Has Evolved To Include The Use Of Technology To Aid In Managing And Delivering Projects. However, No Research Has Provided A Comprehensive Analysis Of This PM Evolution. To Fill This Gap, This Data-Driven Study Conducted A Scientometric Analysis, Using PM-Related Research Papers, To Identify The PM Evolution Along The Holistic Life Cycle Of Its Knowledgebase. The Findings Of This Study Identify Four Distinct PM Phases: PM 1.0, PM …
The Hydration, Microstructure, And Mechanical Properties Of Vaterite Calcined Clay Cement (Vc³), Yaqiang Li, Yue Li, Hongyan Ma, Jiaqi Li
The Hydration, Microstructure, And Mechanical Properties Of Vaterite Calcined Clay Cement (Vc³), Yaqiang Li, Yue Li, Hongyan Ma, Jiaqi Li
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Limestone (calcite) calcined clay cement (LC3) is a promising low-CO2 binder, but the low activity of calcite cannot compensate the reduction in clinker factor, resulting in low one-day strength and limiting its broad applications. As recent carbon capture and utilization technologies allow scalable production of vaterite, a more reactive CaCO3 polymorph, we overcome the challenge by introducing vaterite calcined clay cement (VC3), inspired by the vaterite-calcite phase change. In the present study, VC3 exhibits higher compressive strengths and faster hydration than LC3. Compared to hydrated LC3, hydrated VC3 exhibits increased amount of hemi- and mono-carboaluminate formation and decreased amount of …
Defects Detection Of Concrete Bridge Decks Using Uav-Based Infrared Thermography, H. B. Zhang, Z. Zhou, G. Chen
Defects Detection Of Concrete Bridge Decks Using Uav-Based Infrared Thermography, H. B. Zhang, Z. Zhou, G. Chen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Concrete bridges are vulnerable to both natural and man-made disasters, as well as aging and deterioration processes throughout their lifespan. Timely detection of defects in concrete structures is crucial for repair and decision-making purposes. However, traditional methods like visual inspection are time-consuming and expensive. Unmanned aerial vehicles (UAVs) equipped with infrared thermography (IRT) offer an efficient and cost-effective solution for detecting defects in concrete structures. This study presents passive and active IRT techniques for detecting common concrete defects, such as delamination and cracks. Principle and methods for quantifying these defects and evaluating the extent of damage are introduced. Experiments are …
A Fuzzy Model And Decision-Support Tool For Assessing And Predicting The Probability Of Bankruptcy Of Construction Companies, Rayan H. Assaad, Ghiwa Assaf, Islam H. El-Adaway
A Fuzzy Model And Decision-Support Tool For Assessing And Predicting The Probability Of Bankruptcy Of Construction Companies, Rayan H. Assaad, Ghiwa Assaf, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Construction firms face considerable risks that might lead to business bankruptcy. Failed construction companies leave behind unfinished projects, which leads to huge losses to project owners. While previous studies were conducted to understand the factors that contribute to the bankruptcy of construction organizations, little to no research was performed to quantitatively assess the risk of construction business bankruptcy. Hence, this paper addresses this knowledge gap by developing a fuzzy model for predicting the probability of business bankruptcy of construction companies. First, the following six failure warning signs were considered: financial management system, borrowed credit, estimating and job-cost reporting, project management, …
Analyzing The Impact Of Db Versus Dbb On Cost Performance In Airport Development: A Data-Driven Approach, Ramy Khalef, Islam H. El-Adaway
Analyzing The Impact Of Db Versus Dbb On Cost Performance In Airport Development: A Data-Driven Approach, Ramy Khalef, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The Construction Of Airport Projects Can Be Complex And Costly Due To The Many Stakeholders Involved And Associated Strict Timelines. Traditional Delivery Methods, Such As Design-Bid-Build (DBB), Employed In Airport Projects Often Result In Major Cost Overruns Due To Multiple Facets. Design-Build (DB) Is A Construction Method That Combines Design And Construction Under A Single Entity, And It Has The Potential To Improve Cost Performance. None Have Evaluated DB From A Cost Perspective In The Airport Sector. This Research Fills This Gap. First, The Data Is Collected And Assessed For Validity. Second, Risk Ratings For Cost Performance Are Computed. Finally, …
Data-Driven Analysis Of Progressive Design Build In Water And Wastewater Infrastructure Projects, Fareed Salih, Radwa Eissa, Islam H. El-Adaway
Data-Driven Analysis Of Progressive Design Build In Water And Wastewater Infrastructure Projects, Fareed Salih, Radwa Eissa, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The United States has invested heavily in water and wastewater infrastructure projects to address growing demand and aging systems. To ensure the effective delivery of these projects, agencies are shifting toward alternative delivery methods such as progressive design build (PDB), which has demonstrated accelerated schedule and enhanced cost performance across the literature as well as multiple projects compared to traditional DB. This has raised a need for evaluating PDB's state of adoption and performance in the water and wastewater sector. To this end, the authors: (1) conducted descriptive and statistical analyses of the 21 PDB water and wastewater projects available …
A Holistic Approach To Exploring The Root Factors Of Work Zone Accidents, Bahaa Chammout, Muaz O. Ahmed, Islam H. El-Adaway, William Lieser
A Holistic Approach To Exploring The Root Factors Of Work Zone Accidents, Bahaa Chammout, Muaz O. Ahmed, Islam H. El-Adaway, William Lieser
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Work zones are crucial for infrastructure maintenance and improvement. However, ongoing projects within work zones sometimes can place workers and drivers in dangerous situations. Despite safety regulations, work zone accidents persist with notable severity and frequency. Previous research has explored work zone accident causation, but it has not provided a comprehensive understanding of the factors that impact work zone safety. This paper addresses this research gap by following a multistep methodology. First, a systematic literature review (SLR) was conducted to identify a comprehensive list of 37 factors impacting work zone safety. Second, social network analysis (SNA) was employed to analyze …
Inspire Newsletter Spring 2024, Missouri University Of Science And Technology Inspire - University Transportation Center
Inspire Newsletter Spring 2024, Missouri University Of Science And Technology Inspire - University Transportation Center
INSPIRE Newsletters
No abstract provided.
Prediction Of Surfactant Performance From Surfactant Huff-Puff In Carbonate Reservoirs Using A Data-Driven Approach And Desktop Application Development, Y. Yao, Mingzhen Wei, Y. Cui, M. Ali, J. Leng, Y. Qiu
Prediction Of Surfactant Performance From Surfactant Huff-Puff In Carbonate Reservoirs Using A Data-Driven Approach And Desktop Application Development, Y. Yao, Mingzhen Wei, Y. Cui, M. Ali, J. Leng, Y. Qiu
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Surfactants have been widely used to alter the wettability of carbonate rocks from oil-wetness to water-wetness and enhanced oil recovery. One of primary methods implemented in filed applications for enhanced oil recovery is surfactant huff-puff. Currently, a large number of surfactant treatments are conducted in laboratories prior to field applications to optimize the design of surfactant huff-puff, test the performance of surfactants, and minimize failure risk. This process is time-consuming since a treatment could last from several days to more than 300 days. Moreover, a fraction of treatments could not improve oil recovery as reported in the literature. In this …
A Vehicle-Bridge Interaction Model Considering Contact Patch Size And Vehicle Self-Generated Excitation – A Theoretical Study, Zhenhua Shi, Yahya M. Mohammed, Nasim Uddin, Genda Chen
A Vehicle-Bridge Interaction Model Considering Contact Patch Size And Vehicle Self-Generated Excitation – A Theoretical Study, Zhenhua Shi, Yahya M. Mohammed, Nasim Uddin, Genda Chen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This paper presents an improved theoretical damped single-axle vehicle-bridge dynamic interaction model to consider the effect of the contact patch size and motor-induced vehicle excitation. The contact patch issue is critical as it determines the minimum time step for simulation and maximum identifiable frequency, while the inclusion of the motor-induced vehicle excitation benefits the design of autonomous self-driven rather than towed vehicles. Estimations of the contact patch size for both the pneumatic tire and solid wheel scenarios are discussed. The contact patch responses, which degenerate into contact point responses when the contact patch size is assumed to be infinitely small, …
Quantifying The Role Of Insurance In Tornado-Impacted Community Recovery: A Survey And Simulation-Based Approach, Jie Zhao, Ji Yun Lee, Guirong Grace Yan, Fangjiao Ma
Quantifying The Role Of Insurance In Tornado-Impacted Community Recovery: A Survey And Simulation-Based Approach, Jie Zhao, Ji Yun Lee, Guirong Grace Yan, Fangjiao Ma
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Insurance against disasters plays a critical role in community recovery by providing policyholders with reliable and timely payments for repairing or reconstructing damaged houses. By allowing homeowners to transfer risk, insurance enables homeowners to address house without experiencing significant financial burdens. Although historical events have highlighted the importance of insurance, its quantitative impact on community recovery, particularly in tornado-impacted communities, is understudied. This study focuses on advancing our understanding of whether sufficiently insured houses can have a positive impact on the recovery of tornado-impacted communities (i.e., the main research question). This paper proposes a two-stage simulation framework to quantitatively evaluate …
Two-Group Drift-Flux Model For Dispersed Gas-Liquid Flow In Large-Diameter Pipes, Hossein Barati, Takashi Hibiki, Joshua P. Schlegel, Naofumi Tsukamoto
Two-Group Drift-Flux Model For Dispersed Gas-Liquid Flow In Large-Diameter Pipes, Hossein Barati, Takashi Hibiki, Joshua P. Schlegel, Naofumi Tsukamoto
Nuclear Engineering and Radiation Science Faculty Research & Creative Works
Interfacial Heat and Mass Transfer Are Prevalent in Industrial Processes. the Interfacial Transfer Rate Can Be Obtained by the Product of their Fluxes and Interfacial Area Concentration (IAC) Calculated by the Interfacial Area Transport Equation (IATE). Bubbles Show Different Behavior According to their Sizes. Hence, Bubbles Are Classified into Two Groups. Consequently, Two-Group IATE is Required Causing to Use of Two Gas Momentum Equations Leading to More Complexity. the Present Study Suggests a New Reliable Two-Group Drift-Flux Modeling to Reduce the Two Gas Momentum Equations to One Gas Mixture Momentum Equation for Gas-Liquid Flow in Large-Diameter Pipes. the Model is …
Risk-Reward Allocation Among Integrated Project Delivery Method Stakeholders: A Gamified Cooperative Data Simulation Approach, Radwa Eissa, Mohamad Abdul Nabi, Islam H. El-Adaway
Risk-Reward Allocation Among Integrated Project Delivery Method Stakeholders: A Gamified Cooperative Data Simulation Approach, Radwa Eissa, Mohamad Abdul Nabi, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Integrated project delivery (IPD) method is associated with numerous benefits, including enhanced project performance, collaboration, and information sharing among project stakeholders. However, the lack of adequate incentive and reward mechanisms is still considered as the main reason for slowing down the adoption of IPD. As such, the goal of this paper is to identify a fair and efficient risk pool distribution among IPD project stakeholders. The adopted methodology included (1) assigning the risks associated with each stakeholder, (2) computing valuations for all possible subset coalitions among IPD project stakeholders that reflect their risk control capabilities as well as their coordination …
Understanding Of Risky Determinants Affecting The Success Of Design-Build Airport Projects Using Computational Clustering Techniques, Ramy Khalef, Islam El-Adaway
Understanding Of Risky Determinants Affecting The Success Of Design-Build Airport Projects Using Computational Clustering Techniques, Ramy Khalef, Islam El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The current delivery practices of airport projects are traditionally outdated, lacking innovative and modern techniques which provide overall better cost, schedule, among other performance metrics. Design-build (DB) is an alternative and viable option for the effective delivery of airport projects. Previous studies have lacked in focusing on studying the determinants that affect the success of DB airport projects. This study aims to fill this gap. The goal of this research is to explore these determinants by computationally analyzing the perception of relevant experts. This goal is achieved by: (1) developing a survey to gather valid data on the likelihood of …
Exploring The Influences On Construction Bidding Decisions: Insights From Literature And Industry Experts, Muaz O. Ahmed, Islam H. El-Adaway
Exploring The Influences On Construction Bidding Decisions: Insights From Literature And Industry Experts, Muaz O. Ahmed, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Decision-Making In Construction Bidding Is One Of The Complicated Processes. In Determining Related Decisions, Contractors Weigh Various Bidding Factors To Assess The Expected Benefits Of A Construction Project. Various Studies Have Identified Factors That Impact Construction Bidding-Related Decisions. However, There Is A Lack Of Research That Examines The Alignment Between Industry And Literature As Related To The Perception Of The Importance Of Bidding Factors On Bidding Decisions. This Paper Fills This Area Of Research Need. First, The Authors Performed A Content Analysis Of 124 Construction Bidding-Related Journal Papers, And Accordingly, 43 Bidding Factors Were Identified And Mapped With Analyzed Journal …
Studying Contribution Of Associated Stakeholders In Risk Control Of Modularized Construction Under Different Project Delivery Methods: A Graph-Restricted Cooperative Games Approach, Mohamad Abdul Nabi, Islam H. El-Adaway
Studying Contribution Of Associated Stakeholders In Risk Control Of Modularized Construction Under Different Project Delivery Methods: A Graph-Restricted Cooperative Games Approach, Mohamad Abdul Nabi, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Modularization is associated with various project benefits including cost savings, schedule reduction, improved quality, among others. However, successful implementation of modular projects requires early collaboration and proactive management of various associated risks. Both project communication structures and early engagement of all project stakeholders have a great impact on risk mitigation efficiency in modular construction. The goal of this paper is to study the stakeholders' contribution in risk control of modular construction projects under different delivery methods. To this end, the authors followed a multistep methodology including (1) literature analysis to assign 17 modular risks among the various project stakeholders; (2) …
Improving Aggregate Abrasion Resistance Prediction Via Micro-Deval Test Using Ensemble Machine Learning Techniques, Alireza Roshan, Magdy Abdelrahman
Improving Aggregate Abrasion Resistance Prediction Via Micro-Deval Test Using Ensemble Machine Learning Techniques, Alireza Roshan, Magdy Abdelrahman
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Aggregate is the most extracted material from the world's mines and widely used in civil and construction projects. The Micro-Deval abrasion test (MD) is one of the most important tests that provides characteristics of crushed aggregates that show their resistance against mechanical abrasive factors such as repeated impact loading. The impact of various factors on abrasive resistance properties of aggregates has led researchers to seek correlations, often focusing on limited data samples, leading to reduced accuracy. This study employs machine learning (ML) methods to predict MD abrasion values, considering diverse aggregate properties. Various ensemble ML methods were applied, revealing the …
Effect Of Concrete Mix Design Factors On Static Yield Stress Changes Due To Vibration, Ahmed Abd El Fattah, Dimitri Feys, Kyle Riding, Syed Imran
Effect Of Concrete Mix Design Factors On Static Yield Stress Changes Due To Vibration, Ahmed Abd El Fattah, Dimitri Feys, Kyle Riding, Syed Imran
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Digital fabrication of concrete structures has gained substantial research traction over the last decade, enabling efficient material use and adding more architectural freedom. Current research focuses on chemical and mineral admixtures, as well as manipulating the cement hydration reaction to control the yield stress evolution with time in the cement paste. Instead of providing yield stress through the concrete fluid properties, a high yield stress can be provided by interparticle friction from the use of high aggregate volumes and large nominal maximum aggregate size, with flow enhanced for material extrusion by vibration. Granular physics was applied to concrete mixture design …
An Accurate-Pricing Estimate Game-Theoretic Model For Determining Price Escalations In Construction Projects During Economic Uncertainties, Yasser Jezzini, Rayan H. Assaad, Islam H. El-Adaway, Mohamad Abdul Nabi
An Accurate-Pricing Estimate Game-Theoretic Model For Determining Price Escalations In Construction Projects During Economic Uncertainties, Yasser Jezzini, Rayan H. Assaad, Islam H. El-Adaway, Mohamad Abdul Nabi
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Economic Market Uncertainties, Such As Those Experienced During The COVID-19 Pandemic, Can Make Determining Accurate Prices Estimate For Construction Materials A Challenging Task. While Previous Research Focused On The Contractual Aspect Of This Issue By Studying Price Escalation Clauses, There Is Still A Gap In The Literature When It Comes To Proposing An Accurate Pricing Model. Thus, This Study Develops An Accurate Pricing-Estimate Game-Theoretical Model That Can Efficiently And Competitively Account For Escalations In Construction Materials Prices During Uncertain Market Conditions. First, Data On Past Producer Price Indexes (PPIs) Of Different Construction Materials Were Collected. Second, The Percentage Changes In …
Freyr⁺: Harvesting Idle Resources In Serverless Computing Via Deep Reinforcement Learning, Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung Jong Park
Freyr⁺: Harvesting Idle Resources In Serverless Computing Via Deep Reinforcement Learning, Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung Jong Park
Computer Science Faculty Research & Creative Works
Serverless computing has revolutionized online service development and deployment with ease-to-use operations, auto-scaling, fine-grained resource allocation, and pay-as-you-go pricing. However, a gap remains in configuring serverless functions - the actual resource consumption may vary due to function types, dependencies, and input data sizes, thus mismatching the static resource configuration by users. Dynamic resource consumption against static configuration may lead to either poor function execution performance or low utilization. This paper proposes Freyr+, a novel resource manager (RM) that dynamically harvests idle resources from over-provisioned functions to accelerate under-provisioned functions for serverless platforms. Freyr+ monitors each function's resource utilization in real-time …
Inspire Newsletter Fall 2024, Missouri University Of Science And Technolgy Inspire - University Transportation Center
Inspire Newsletter Fall 2024, Missouri University Of Science And Technolgy Inspire - University Transportation Center
INSPIRE Newsletters
No abstract provided.
Distributed Solar Generation: Data Analytics Of The Existing Literature For Guiding Future Prospects, Gasser Ali, Islam H. El-Adaway
Distributed Solar Generation: Data Analytics Of The Existing Literature For Guiding Future Prospects, Gasser Ali, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Distributed Solar Generation (DSG) Systems Are Small-Scale Units That Are Located At Or Near End-Consumers Such As Residential Rooftop Photo-Voltaic (PV) Systems. DSG Has Driven A Plethora Of Multidisciplinary Research With Various Interrelated Topics And Perspectives. A Broad Understanding Of Research Directions And Potential Gaps In Knowledge Can Be Elusive. Accordingly, The Goal Of This Paper Is To Investigate The Research Trends Related To DSG And Explore Research Opportunities. This Is Achieved By Performing A Data-Driven Keyword Search And Network Analysis On A Large Dataset Of Publications Related To DSG To Quantify Topics Related To DSG And The Interconnectivity Between …
Cav-Ad: A Robust Framework For Detection Of Anomalous Data And Malicious Sensors In Cav Networks, Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
Cav-Ad: A Robust Framework For Detection Of Anomalous Data And Malicious Sensors In Cav Networks, Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
Computer Science Faculty Research & Creative Works
The adoption of connected and automated vehicles (CAVs) has sparked considerable interest across diverse industries, including public transportation, underground mining, and agriculture sectors. However, CAVs' reliance on sensor readings makes them vulnerable to significant threats. Manipulating these readings can compromise CAV network security, posing serious risks for malicious activities. Although several anomaly detection (AD) approaches for CAV networks are proposed, they often fail to: i) detect multiple anomalies in specific sensor(s) with high accuracy or F1 score, and ii) identify the specific sensor being attacked. In response, this paper proposes a novel framework tailored to CAV networks, called CAV-AD, for …
Prediction Of Carbonation Capacity Of Scms Using Ensemble Learning Method, Kangyi Cai, Jian Liu, Edward Mwanza, Mahelet G. Fikru, Hongyan Ma, Donald C. Wunsch
Prediction Of Carbonation Capacity Of Scms Using Ensemble Learning Method, Kangyi Cai, Jian Liu, Edward Mwanza, Mahelet G. Fikru, Hongyan Ma, Donald C. Wunsch
Economics Faculty Research & Creative Works
The utilization of supplementary cementitious materials (SCMs) subjected to carbonation processing represents a viable strategy to mitigate anthropogenic CO2 emissions associated with concrete production, potentially contributing to the achievement of carbon neutrality. However, existing studies have limitations in effectively predicting the varying carbonation capacities of different SCMs, a gap that this research aims to address. Recent research efforts focused on the carbonation of waste-material-sourced SCMs are reviewed, along with a comparative discussion on diverse carbonation methods. A detailed data set encapsulating the properties of SCMs, and carbonation configurations was compiled. At the same time, six ensemble learning models were …
Pattern Recognition For Wettability Alteration With Surfactants In Carbonate Reservoirs By Using Machine Learning, Y. Yao, Mingzhen Wei, M. Ali, Y. Qiu, Y. Cui, J. Leng
Pattern Recognition For Wettability Alteration With Surfactants In Carbonate Reservoirs By Using Machine Learning, Y. Yao, Mingzhen Wei, M. Ali, Y. Qiu, Y. Cui, J. Leng
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Surfactants Are Widely Applied Agents to Interact with the Adsorbates on Carbonate Rock Surface, Which Could Alter Wettability from Oil-Wetness to Water-Wetness and Thus Enhance Oil Recovery. Surfactant Huff-Puff is Often Conducted to Achieve Wettability Alteration and Has Been Applied under Various Conditions. Currently, Many Investigations Have Been Reported to Apply Conventional Data Analysis Methods to Analyze Different Sets of Surfactant Huff-Puff Projects. Yet the Application of Machine Learning Algorithms to Reveal the Inherent Patterns is Rarely Reported. in This Study, We Integrate Principal Component Analysis (PCA) with Hierarchical Clustering Algorithm (HCA) to Uncover the Hidden Patterns Embedded in Global …
Thermo-Mechanical Stability Analysis Of Hollow Cellular Concrete Block Air Convection Embankments For Cold Regions, H. Wu, X. Zhang, J. Liu
Thermo-Mechanical Stability Analysis Of Hollow Cellular Concrete Block Air Convection Embankments For Cold Regions, H. Wu, X. Zhang, J. Liu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Crushed-rock air convection embankment (ACE), as a highly open-graded porous medium, has been used to mitigate the thaw settlement of pavement structures in permafrost regions. Previous studies have revealed that cellular concrete has significant potential as a cost-effective material for ACE to solve the problem of crushed rock shortage in interior Alaska and improved the thermal stability of pavement structures in cold climates. the design configurations of the hollow cellular concrete block ACE were further designed to maximize the performance benefits and facilitate future implementation and field construction. However, the mechanical behaviors of the proposed structures and ice-rich subgrade were …
Prediction Of Stratified Ground Consolidation Via A Physics-Informed Neural Network Utilizing Short-Term Excess Pore Water Pressure Monitoring Data, Weibing Gong, Linlong Zuo, Lin Li, Hui Wang
Prediction Of Stratified Ground Consolidation Via A Physics-Informed Neural Network Utilizing Short-Term Excess Pore Water Pressure Monitoring Data, Weibing Gong, Linlong Zuo, Lin Li, Hui Wang
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Predicting stratified ground consolidation effectively remains a challenge in geotechnical engineering, especially when it comes to quickly and dependably determining the coefficient of consolidation ((Formula presented.)) for each soil layer. This difficulty primarily stems from the time-intensive nature of the consolidation process and the challenges in efficiently simulating this process in laboratory settings and using numerical methods. Nevertheless, the consolidation of stratified ground is crucial because it governs ground settlement, affecting the safety and serviceability of structures situated on or in such ground. In this study, an innovative method utilizing a physics-informed neural network (PINN) is introduced to predict stratified …
Assessing The Potential Of Uav-Based Multispectral And Thermal Data To Estimate Soil Water Content Using Geophysical Methods, Yunyi Guan, Katherine R. Grote
Assessing The Potential Of Uav-Based Multispectral And Thermal Data To Estimate Soil Water Content Using Geophysical Methods, Yunyi Guan, Katherine R. Grote
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Knowledge of the soil water content (SWC) is important for many aspects of agriculture and must be monitored to maximize crop yield, efficiently use limited supplies of irrigation water, and ensure optimal nutrient management with minimal environmental impact. Single-location sensors are often used to monitor SWC, but a limited number of point measurements is insufficient to measure SWC across most fields since SWC is typically very heterogeneous. To overcome this difficulty, several researchers have used data acquired from unmanned aerial vehicles (UAVs) to predict the SWC by using machine learning on a limited number of point measurements acquired across a …