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A Practical Intrusion Detection Approach For Arp Spoofing And Mitm In Local Area Networks, Hiba Bazzi, Ali Nassar, Mustafa El Bizri, Ali M. Haidar Prof. Dec 2024

A Practical Intrusion Detection Approach For Arp Spoofing And Mitm In Local Area Networks, Hiba Bazzi, Ali Nassar, Mustafa El Bizri, Ali M. Haidar Prof.

BAU Journal - Science and Technology

In modern network environments, the increasing sophistication of cyberattacks poses significant risks, particularly through Address Resolution Protocol (ARP) spoofing and Man-in-the-Middle (MITM) attacks, which exploit vulnerabilities in local area networks. Existing tools often focus on detection or protection at the client side, leaving network-wide detection and response largely unaddressed. This paper presents a novel intrusion detection tool specifically designed to identify ARP spoofing and MITM attacks in real-time within local area networks. The system leverages Python and Scapy for low-level packet analysis and Flask for an intuitive web-based dashboard. Key features include network monitoring, attack detection through ARP table comparisons, …


Online Learning Transition: An Analysis Of Proactive Institutional Assistance In Reducing Difficulties During The Covid-19 Pandemic, Mohammed Yahya Alghamdi Dec 2024

Online Learning Transition: An Analysis Of Proactive Institutional Assistance In Reducing Difficulties During The Covid-19 Pandemic, Mohammed Yahya Alghamdi

BAU Journal - Science and Technology

The COVID-19 pandemic caused major changes in the education system, with a shift to online learning, and experience has shown that transitioning from face-to-face instruction is difficult. This study involved 80 academic staff members from Al-Baha University in Saudi Arabia to learn about the benefits, limitations, and institutional support of online education in the setting of an epidemic. The study answers two primary questions: The first study question was, What difficulties did instructors face when they switched to online instruction? While the second research question was, How did institutional support influence the transition to online instruction? The study’s research methodology …


Adopting Association Rule Learning For Detecting And Ranking Influential Users On Hashtags, Layal Abu Daher, Islam Elkabani, Rashed Zantout Dec 2024

Adopting Association Rule Learning For Detecting And Ranking Influential Users On Hashtags, Layal Abu Daher, Islam Elkabani, Rashed Zantout

BAU Journal - Science and Technology

Social Media platforms are networks of relationships in which users are considered as nodes in a graph and relationships between users are considered edges. These graphs symbolize online groups or communities. It has been a challenge for researchers to study the evolution of such communities due to their rapid and dynamic development. The contribution of our work is twofold: (i) studying the effectiveness of a set of Direct and Indirect Influence Measures that identify the factors that urges users to participate in certain communities; (ii) proposing an Association Rule Mining technique to identify influential users on a dataset of a …


Electrochemical-Method-Induced Strong Metal-Support Interaction In Pt-Cnt@Sno2 For Co-Tolerant Hydrogen Oxidation Reaction, Shen-Zhou Li, Zi-Jie Lin, Qi-An Chen, Zhao Cai, Qing Li Dec 2024

Electrochemical-Method-Induced Strong Metal-Support Interaction In Pt-Cnt@Sno2 For Co-Tolerant Hydrogen Oxidation Reaction, Shen-Zhou Li, Zi-Jie Lin, Qi-An Chen, Zhao Cai, Qing Li

Journal of Electrochemistry

Inducing the classic strong metal-support interaction (SMSI) is an effective approach to enhance the performance of supported metal catalysts by encapsulating the metal nanoparticles (NPs) with supports. Conventional thermal reduction method for inducing SMSI processes is often accompanied by undesirable structural evolution of metal NPs. In this study, a mild electrochemical method has been developed as a new approach to induce SMSI, using the cable structured core@shell CNT@SnO2 loaded Pt NPs as a proof of concept. The induced SnOx encapsulation layer on the surface of Pt NPs can protect Pt NPs from the poisoned of CO impurity in …


Development Of An Effective Container Design That Reliably Provides Isolation Of Water Inflow And Elimination Of Well Flooding, Tolib Olimovich Komilov Suffix, Sherali Hallokovich Umedov, Anvarkhoja Akbarkhodjayevich Rakhimov Dec 2024

Development Of An Effective Container Design That Reliably Provides Isolation Of Water Inflow And Elimination Of Well Flooding, Tolib Olimovich Komilov Suffix, Sherali Hallokovich Umedov, Anvarkhoja Akbarkhodjayevich Rakhimov

Technical science and innovation

Currently, the hydrocarbon extraction industry is one of the most high-tech and rapidly developing sectors globally. The primary priority of this industry is to improve the technical and economic indicators of drilling and well operation. A particularly pressing issue is reducing well waterlogging and effectively isolating water flows, which contributes to optimizing hydrocarbon resource development. The introduction of modern equipment into production processes increases the demand for hydrocarbon resources, further complicating the challenges faced by the industry. This article highlights the relevance of applying innovative technologies to address well complications. Specifically, a new technology for isolating water flows and eliminating …


Development Of The Principles Of Forming A Database For Geoinformation Mapping Of Tourism (As An Example Of Bostanlyk District Of Tashkent Region), Lola Xoji-Akbarovna Gulyamova, Risolat Raximjon Qizi Nizomova Dec 2024

Development Of The Principles Of Forming A Database For Geoinformation Mapping Of Tourism (As An Example Of Bostanlyk District Of Tashkent Region), Lola Xoji-Akbarovna Gulyamova, Risolat Raximjon Qizi Nizomova

Technical science and innovation

When creating tourist assessment maps for the purpose of tourist mapping, special attention is paid to determining the criteria for the formation of a database. To assess tourism opportunities in terms of natural conditions, ecology and socio-economic factors, data collection, their characteristics and requirements for them were studied. In order to improve the quality of sources of tourist assessment maps, parables of working with the internet and real-time removable data, creating a map based on social network data were considered. Proposals were made to create, manage and maintain a big data base. The ArcGIS program analyzed the possibilities of describing …


Enriched Microbial Consortia From Natural Environments Reveal Core Groups Of Microbial Taxa Able To Degrade Terephthalate And Terphthalamide, Laura G. Schaerer, Sulihat Aloba, Emily Wood, Allison Olson, Isabel B. A. Valencia, Rebecca Ong, Stephen Techtmann Dec 2024

Enriched Microbial Consortia From Natural Environments Reveal Core Groups Of Microbial Taxa Able To Degrade Terephthalate And Terphthalamide, Laura G. Schaerer, Sulihat Aloba, Emily Wood, Allison Olson, Isabel B. A. Valencia, Rebecca Ong, Stephen Techtmann

Michigan Tech Publications

Millions of tons of polyethylene terephthalate (PET) are produced each year, however only ~30% of PET is currently recycled in the United States. Improvement of PET recycling and upcycling practices is an area of ongoing research. One method for PET upcycling is chemical depolymerization (through hydrolysis or aminolysis) into aromatic monomers and subsequent biodegradation. Hydrolysis depolymerizes PET into terephthalate, while aminolysis yields terephthalamide. Aminolysis, which is catalyzed with strong bases, yields products with high osmolality, which is inhibitory to optimal microbial growth. Additionally, terephthalamide, may be antimicrobial and its biodegradability is presently unknown. In this study, microbial communities were enriched …


Influence Mechanisms Of Dynamic Metamorphism On The Evolution Of Micro/Nano Pore Structures In Tectonically Deformed Coals, Liu Hewu, Lyu Xiaoxue, Hou Chenliang, Xiong Zuopeng Dec 2024

Influence Mechanisms Of Dynamic Metamorphism On The Evolution Of Micro/Nano Pore Structures In Tectonically Deformed Coals, Liu Hewu, Lyu Xiaoxue, Hou Chenliang, Xiong Zuopeng

Coal Geology & Exploration

Objective Micro/nano pore structures in coals act as a significant space for gas occurrence. Exploring the evolutionary mechanisms of micro/nano pore structures in tectonically deformed coals (TDCs) under the influence of dynamic metamorphism assists in gaining a deep understanding of the mechanisms underlying coal and gas outbursts. Methods Using CO2 adsorption experiments, Fourier transform infrared (FTIR) spectroscopy, and molecular dynamics simulations, this study investigated the evolutionary characteristics and mechanisms of micro/nano pore structures in different TDCs occurring within the No.72 coal seam of the Qi’nan Coal Mine in Suzhou Province. Results and Conclusions The results indicate that with enhanced …


Microscopic Fracture Characterization And Permeability Evolutionary Patterns Of Granites Under Cyclic Thermal Shock, He Jiangfu, Ren Chengcheng, He Kun, Yu Qihang, Li Xinru, Deng Xu Dec 2024

Microscopic Fracture Characterization And Permeability Evolutionary Patterns Of Granites Under Cyclic Thermal Shock, He Jiangfu, Ren Chengcheng, He Kun, Yu Qihang, Li Xinru, Deng Xu

Coal Geology & Exploration

Objective This study aims to reveal the microscopic damage characteristics and permeability evolutionary patterns of high-temperature granite reservoirs fractured under cyclic thermal shock produced by low-temperature fluids like drilling fluids and circulating heat recovery media in the exploitation process of the enhanced geothermal systems (EGSs). Methods Using experiments on the fracturing characteristics of high-temperature granites under the conditions of varying cooling methods, numbers of thermal shock cycles, and cooling temperatures, this study determined microstructural characteristic parameters such as compressional wave (P-wave) velocity, pore volumetric fraction, and fractal dimension of granites across a temperature range of 25 to 700 ℃ under …


Digital Twin And Cybersecurity In Additive Manufacturing, Lidong Wang Dec 2024

Digital Twin And Cybersecurity In Additive Manufacturing, Lidong Wang

Journal of Cybersecurity Education, Research and Practice

Additive manufacturing (AM) has been applied to automotive, aerospace, medical sectors, etc., but there are still challenges such as parts’ porosity, cracks, surface roughness, intrinsic anisotropy, and residual stress because of the high level of thermal gradient. It is significant to conduct the modeling and simulation of the AM process and achieve quality products. Digital Twin (DT) can help AM with forecasting defects/errors through simulation and real-time process monitoring. DT is a concept of Industry 4.0, and its digital structure reflects the real-time behaviors of a cyber-physical or physical system. This paper introduces the progress of DT applications in AM, …


Development Strategies For Grid-Connected Utility-Scale Solar Photovoltaic To Increase Renewable Energy Penetration, Surya Budi Ariyadi, Widodo W Purwanto Dec 2024

Development Strategies For Grid-Connected Utility-Scale Solar Photovoltaic To Increase Renewable Energy Penetration, Surya Budi Ariyadi, Widodo W Purwanto

CSID Journal of Infrastructure Development

The government of Indonesia has launched programs to decarbonize its power systems by replacing fossil fuel-based plants with renewable energy. Solar photovoltaic (PV) deployment faces economic and technical barriers despite abundant solar irradiance. This study evaluates techno-economic strategies for 10 MW grid-connected solar PV systems, comparing two scenarios: without Battery Energy Storage System (BESS) and with BESS to reduce grid reliance. Key interventions were analyzed for their economic impacts, including tariff adjustments, carbon tax implementation, and competitive auction schemes. The results show that without BESS, the project achieves an Internal Rate of Return (IRR) of 21.30%, making it highly feasible. …


Physics-Informed Heterogeneous Spatiotemporal Graph Neural Network For Reservoir Simulation, Ahmed A.M.A. Abdullah Dec 2024

Physics-Informed Heterogeneous Spatiotemporal Graph Neural Network For Reservoir Simulation, Ahmed A.M.A. Abdullah

LSU Master's Theses

Reservoir simulation is the state-of-the-art method for predicting the flow of petroleum reservoir fluids in porous media. It provides an accurate and unbiased prediction of the performance of petroleum reservoirs under different operating conditions. Despite its advantages, reservoir simulation is computationally expensive; with typical full-field simulation models running for several hours. This limitation is worsened when simulating reservoirs with several equations for each cell, such as multiphysics or compositional reservoir simulation. The goal of this research is to provide a fast and accurate spatiotemporal machine-learning model that incorporates discretized governing mass balance equations for training. To achieve this, we propose …


Microwell Fabrication For Impedance And Ac Measurements Of Isolated Ventricular Cardiomyocytes, Fallon Wenck Dec 2024

Microwell Fabrication For Impedance And Ac Measurements Of Isolated Ventricular Cardiomyocytes, Fallon Wenck

Multidisciplinary Studies Theses and Dissertations

Electrophysiological behavior of human hearts have been extensively studied for hundreds of years. Even with elucidation of not just biological function, but also time and frequency-dependent current flow, the sheer intricacy of in vivo cardiac tissue function remains somewhat enigmatic. All while heart disease has been the leading cause of death in the United States for over a century, with its rates of occurrence still increasing annually [1]. Thus, new research techniques and tools to quantify cardiac function are still being pursued at smaller and smaller scales to decrease research/innovation time, cost, and diagnostic ambiguity. In fact, it remains incredibly …


A Comparison Of Polymers By Layer Deposition And Open Molding Additive Processes Through Fused Granulate Fabrication, Alexander Ray Gibson Dec 2024

A Comparison Of Polymers By Layer Deposition And Open Molding Additive Processes Through Fused Granulate Fabrication, Alexander Ray Gibson

Theses and Dissertations

Additive manufacturing (AM) continues to offer new possibilities in both production and economics. Various industries have quickly adopted AM to rapidly produce parts that would be difficult or cost prohibitive otherwise. Despite ongoing innovations that expand the technology's capabilities, significant limitations persist. Most AM processes are restricted by materials available, an inability to produce large parts, or by not achieving material deposition speeds and volumes to allow for certain products feasible. In addition, tight tolerances for features and surfaces cannot be produced without substantial post processing. Some of the post-processing techniques can even affect the material properties of the finished …


Tensile Strain Validation Of Welded Wire Reinforcement, Alvaro Montes Dec 2024

Tensile Strain Validation Of Welded Wire Reinforcement, Alvaro Montes

Theses and Dissertations

There have been historical concerns regarding the ductility of welded wire reinforcement (WWR). Recent changes in ACI 318-19 now require all grades of A615 and Grade 100 A706 nonprestressed steel reinforcement to have a ratio of tensile strength to yield strength greater than 1.10 and 1.17 respectively. Although this code requirement does not currently apply to WWR, this preemptive study investigated the current state of the art of WWR manufactured in North America in preparation for such a possibility. This project included the tensile-testing of approximately 365 WWR material specimens of various cross-sectional sizes to determine the ratio of tensile-to-yield …


An Intelligent System Using Deep Learning For Healthcare Monitoring In Light Of The Covid-19 And Future Pandemics Based On Iot, Sara Salman Qasim, Rajaa J. Khanjar, Jamal Nasir Hasoon, Baesher Abdullateff Abad, Ali Hussein Fadil, Shajan.M. Alsowaidi Dec 2024

An Intelligent System Using Deep Learning For Healthcare Monitoring In Light Of The Covid-19 And Future Pandemics Based On Iot, Sara Salman Qasim, Rajaa J. Khanjar, Jamal Nasir Hasoon, Baesher Abdullateff Abad, Ali Hussein Fadil, Shajan.M. Alsowaidi

Al-Esraa University College Journal for Engineering Sciences

Recently, the Internet of Things has become a compelling research field as a new topic of research in various disciplines, particularly in the field of healthcare, because the Internet of Things is rebuilding modern healthcare systems by integrating technology, economics, and social perspectives. The development of healthcare systems from traditional to more personalized systems in which patients can be easily diagnosed, monitored and treated and many people can be helped. People are treated and cared for remotely and this is what some people need in the crisis the world has been through like COVID-19. This epidemic is caused by the …


Investigation Of The Use Of Nanotechnology In Food Packaging, Ollie-May Woodland Dec 2024

Investigation Of The Use Of Nanotechnology In Food Packaging, Ollie-May Woodland

The Plymouth Student Scientist

This review discusses topics related to the use and development of nanotechnology and nanomaterials in food packaging applications. The accelerated use of these technologies brings about relevant safety, environmental, ethical and legislative/ regulatory concerns and as such the aim of this work is to assess the viability of the use of current commercialised nano-enabled packaging and to evaluate the potential future trends in the progression of these technologies against public opinion and potential risk(s). The data for this report was collected through comprehensive research of nanotechnology and its applications, specifically the packaging industry in the food sector. An online survey …


Discrete Element Method For Mining Industrial Applications: Solving The Clumping Problem Caused By Bulk Cohesive Particles In An Iron Ore Beneficiation Process, Shuang Liu Dec 2024

Discrete Element Method For Mining Industrial Applications: Solving The Clumping Problem Caused By Bulk Cohesive Particles In An Iron Ore Beneficiation Process, Shuang Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

The discrete element method (DEM) is a widely used numerical approach for simulating and analyzing the behavior of granular materials in various applications. This research focuses on the iron ore beneficiation process, addressing the clumping issue in cohesive iron ores from existing crushing processes through a novel double-layered disperser design. The significance of this study lies in its potential to enhance the efficiency of the existing crushing phase and improve the linkage to subsequent purification stages that target smaller-sized iron ore pellets, thereby enhancing the overall efficiency of the ore beneficiation process and achieving significant energy savings. This research adopts …


Discrete Element Method For Mining Industrial Applications: Solving The Clumping Problem Caused By Bulk Cohesive Particles In An Iron Ore Beneficiation Process, Shuang Liu Dec 2024

Discrete Element Method For Mining Industrial Applications: Solving The Clumping Problem Caused By Bulk Cohesive Particles In An Iron Ore Beneficiation Process, Shuang Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

The discrete element method (DEM) is a widely used numerical approach for simulating and analyzing the behavior of granular materials in various applications. This research focuses on the iron ore beneficiation process, addressing the clumping issue in cohesive iron ores from existing crushing processes through a novel double-layered disperser design. The significance of this study lies in its potential to enhance the efficiency of the existing crushing phase and improve the linkage to subsequent purification stages that target smaller-sized iron ore pellets, thereby enhancing the overall efficiency of the ore beneficiation process and achieving significant energy savings. This research adopts …


Enhancing Concrete Sustainability With Self-Healing Technologies, Al Shimaa Abdullatif Dec 2024

Enhancing Concrete Sustainability With Self-Healing Technologies, Al Shimaa Abdullatif

Theses and Dissertations

Thanks to its strength, durability and affordability, Portland cement concrete is the most commonly used building material worldwide. However, concrete cracking is inevitable due to numerous factors including shrinkage, exposure to external chemicals, internals reactions, excessive loads, to name but a few. Self-healing is a promising technique that can enable concrete to autogenously heal cracks and alleviate much of the damage. Such healing can without a doubt extend the service life with less need for external repair works therefore it contributes to sustainability. Over the years, several means of self-healing agents have been explored including bio-based procedures and the incorporation …


Post-Processing National Water Model Long-Range Forecasts With Random Forest Regression In The Cloud To Improve Forecast Accuracy For Decision-Makers And Water Managers, Jacob Matthew Anderson Dec 2024

Post-Processing National Water Model Long-Range Forecasts With Random Forest Regression In The Cloud To Improve Forecast Accuracy For Decision-Makers And Water Managers, Jacob Matthew Anderson

Theses and Dissertations

Post-processing bias correction of streamflow forecasts can be useful in the hydrologic modeling workflow to fine-tune forecasts for operations, water management, and decision-making. Hydrologic model runoff simulations include errors, uncertainties, and biases, leading to less accuracy and precision for applications in real-world scenarios. We used random forest regression to correct biases and errors in streamflow predictions from the U.S. National Water Model (NWM) long-range streamflow forecasts, considering U.S. Geological Survey (USGS) gauge station measurements as a proxy for true streamflow. We used other features in model training, including watershed characteristics, time fraction of year, and lagged streamflow values, to help …


Local Food System Planning On Multiple Governance Scales: A Grounded Theory Analysis, Decker Ure Dec 2024

Local Food System Planning On Multiple Governance Scales: A Grounded Theory Analysis, Decker Ure

Theses and Dissertations

Local food systems (LFS) comprise the people, policies, infrastructure and practices of food production, distribution, and consumption in localized areas. LFS are becoming an increasingly important part of urban sustainable development and have recently gained significant traction in the urban planning and sustainable community spheres. Worldwide shocks to global food systems such as the COVID-19 pandemic and the Ukraine-Russia war have further elevated global interest in LFS, bringing local food to the forefront of many communities as they try to insulate themselves and their food supply from future risk. However, despite this growing interest in and policy momentum for local …


Kinetic Modeling Of Bacteria Removal From Suspensions By Magnetic Nanoparticle Capture And Magnetic Separation, Bowen J. Houser Dec 2024

Kinetic Modeling Of Bacteria Removal From Suspensions By Magnetic Nanoparticle Capture And Magnetic Separation, Bowen J. Houser

Theses and Dissertations

This thesis investigates the kinetic modeling of bacteria removal from suspensions using magnetic nanoparticle (MNP) capture and magnetic separation. Functionalized magnetic nanoparticles, especially those coated with polydopamine (pDA), were employed to bind with various bacterial species in phosphate-buffered saline (PBS), apple juice, whole blood, and its components. By analyzing the capture efficiency and kinetics of capture across different bacterial species and mediums, we developed mathematical models describing the capture kinetics of bacteria by the pDA-MNPs. Experimental results demonstrated that pDA-coated MNPs achieved high capture efficiency with certain Gram-positive species like Staphylococcus aureus, and one Gram-negative species, Neisseria perflava; however, capture …


A Computational And Mathematical Approach To The Preclinical Development Of Alpha Emitting Radiopharmaceutical Therapies, Abdulaziz Said Dec 2024

A Computational And Mathematical Approach To The Preclinical Development Of Alpha Emitting Radiopharmaceutical Therapies, Abdulaziz Said

McKelvey School of Engineering Graduate Student Theses & Dissertations

Numerous candidate nuclides have been undergoing rigorous preclinical development in the pursuit of novel targeted therapies. Successful development of these drugs relies on the understanding of physiological impacts at the macro and micro scales, in addition to a scalable process for their production. Here, mathematical and computerized approaches have been developed to guide this preclinical development. In this report, two alpha emitting nuclides Pb-212 and Ra-223 are modeled. Radium-223 dichloride citrate a newly approved ion indicated for treatment of bone metastatic castrate resistant prostate cancer, irradiates lesions through targeted uptake in bone at sites of disease. We have undertaken the …


Phosphorus Adsorption Capacity Of Volcanic Scoria, Easton Jeffrey Perkins Dec 2024

Phosphorus Adsorption Capacity Of Volcanic Scoria, Easton Jeffrey Perkins

Theses and Dissertations

Phosphorus (P) pollution in stormwater runoff poses a significant threat to water quality, contributing to eutrophication and ecosystem degradation. This research evaluates the potential of volcanic scoria (VSco), an abundant and cost-effective resource in Utah, USA, to influence P concentrations in urban stormwater systems. Batch adsorption experiments examined the behavior of VSco across three particle sizes—fine (<0.841 mm), medium (0.841–2 mm), and granular (2.38–9.5 mm)—under conditions mimicking stormwater scenarios. The results reveal that fine VSco exhibited higher adsorption efficiency than medium and granular sizes, achieving notable P removal at higher concentrations. However, at lower concentrations, fine VSco showed potential for P release due to desorption of pre-existing P. Medium and granular VSco showed minimal adsorption capacity and, in some cases, acted as P sources, highlighting a dual potential depending on stormwater conditions. Adsorption isotherms indicate that the adsorption behavior of fine VSco aligns with the Langmuir model, with a finite and relatively low adsorption capacity. Calculated distribution coefficient (Kd) values for fine VSco ranged from 0.04 to 0.005 L/g, indicating weak adsorption efficiency compared to materials like activated carbon (1–10 L/g) or soils with moderate adsorption capacity (0.1–0.5 L/g). Loss-on-ignition tests confirmed that VSco’s performance is driven by its physical and chemical properties, particularly its calcium content, rather than organic matter. The study emphasizes caution in applying fine VSco for stormwater remediation due to its potential to release P under typical runoff conditions. However, fine VSco may still be viable in specific scenarios where P levels are higher, such as in stormwater hotspots or localized areas with elevated concentrations, allowing for targeted remediation. The research underscores the need for further testing to refine VSco’s applications, particularly in low-impact development (LID) practices, such as infiltration basins and rain gardens, to effectively manage P levels while supporting ecological and aesthetic goals. These findings contribute to understanding the complex role of VSco in urban stormwater systems, offering insights for sustainable water quality management and nutrient cycling in urban landscapes.


Influence Factors Of Carbonization Of Tunnel Segment Structure And Life Prediction Analysis, Li Dongbiao, Miao Miao, Shen Caihua, Chen Wei Dec 2024

Influence Factors Of Carbonization Of Tunnel Segment Structure And Life Prediction Analysis, Li Dongbiao, Miao Miao, Shen Caihua, Chen Wei

Journal of China & Foreign Highway

There are many factors that affect the carbonization life of concrete segments in underwater tunnels,and the prediction methods are not uniform.In this paper,combined with actual engineering,the influencing factors and laws of carbonization of concrete segments in underwater tunnels were analyzed,and three methods for predicting the life of concrete segments were established with the crack limit as the control target.The prediction results of the three methods were compared.The results show that the influence of the temperature and CO2 concentration in the tunnel predicted by the three methods on the life of the tunnel lining structure is basically consistent with the existing …


Developing A New Liquefaction Ejecta Prediction Model Considering Soil Properties Of Non-Liquifiable Surface Layers Using New Large Database From The 2012 Emilia Romagna, Italy Earthquakes, Jonah Bradley Dundas Dec 2024

Developing A New Liquefaction Ejecta Prediction Model Considering Soil Properties Of Non-Liquifiable Surface Layers Using New Large Database From The 2012 Emilia Romagna, Italy Earthquakes, Jonah Bradley Dundas

Theses and Dissertations

The presence of a non-liquefied crust overlying a liquefied layer has been found to have a significant effect on sand ejecta and surficial liquefaction damage, as observed by Ishihara (1985). Following the 2010-2011 Canterbury seismic sequence in New Zealand, almost no foundation deformation occurred in areas with liquefaction susceptible soils overlain by at least a 3 meter thick crust [1]. In contrast, the 2012 Emilia-Romagna earthquake in Italy provided surface evidence of liquefaction despite 6+ meter thick crusts. Several researchers have proposed liquefaction prediction models [e.g. LPI [2], Ishihara Curves [3], LSN [4], LPIISH [5] and the methods proposed by …


Synthesis Of Activated Carbon From Coconut Shell And Recycled Styrofoam Nanofiber For Water Filtration, Rahma Dani, Ismet Ismet, Leni Marlina, Rona Alisya, Muhamad Abel Kirana Aldi, Anggi Ludiansyah, Lintang Auliya Kurdiati, Meutia Kamilatun Nuha Ap Idjan, Agung Mataram, Muhammad Rama Almafie, Ida Sriyanti Dec 2024

Synthesis Of Activated Carbon From Coconut Shell And Recycled Styrofoam Nanofiber For Water Filtration, Rahma Dani, Ismet Ismet, Leni Marlina, Rona Alisya, Muhamad Abel Kirana Aldi, Anggi Ludiansyah, Lintang Auliya Kurdiati, Meutia Kamilatun Nuha Ap Idjan, Agung Mataram, Muhammad Rama Almafie, Ida Sriyanti

Makara Journal of Science

Water pollution affects life sustainability; hence, several efforts have been exerted to overcome this problem. For ex-ample, nanofiber membrane technology is introduced to retain solutes while allowing only water molecules to pass through the system. Therefore, this study aimed to maximize the technology for water filtration using the electrospin-ning method by combining Styrofoam waste-based polymer with activated carbon from coconut shell waste (ACCS). The nanofiber diameter produced ranged from 590 nm to 610 nm with porous characteristics and without beads. The carbon content varied from 68.04% to 69.84%, according to the energy dispersive X-ray measurement, demonstrating the composite’s effectiveness. The …


Assessing Coincidence Of Satellite Acquisitions And Flood Events To Predict Suitability For Flood Map Synthesis, Lyle Dale Prince Dec 2024

Assessing Coincidence Of Satellite Acquisitions And Flood Events To Predict Suitability For Flood Map Synthesis, Lyle Dale Prince

Theses and Dissertations

Flooding is a global problem that impacts people, communities, and governments every year. Better understanding of flooding in an area can enable improved emergency response before a flood hits. Flood maps are a crucial tool to translate what for most is an abstract flow, into a more understandable and actionable representation of who and what are at risk. Satellite based flood maps are a useful tool that has potentially global applications. We developed methods to determine which areas are suitable for generating satellite-based synthetic flood maps. For our processes we used Forecasting Inundation Extents using REOF analysis (FIER): a data-driven …


A Comparison Of Rfssw And Rsw For Automotive Manufacturing, Damon Michael Gale Dec 2024

A Comparison Of Rfssw And Rsw For Automotive Manufacturing, Damon Michael Gale

Theses and Dissertations

Historically, automotive body panels have been made of steel and joined by a process called resistance spot welding (RSW). However, in efforts to reduce vehicle weight to improve the energy efficiency of the vehicle, automotive manufactures have begun substituting aluminum in place of steel. While aluminum can be joined with RSW, a myriad of challenges arise from doing so. These challenges result in less consistent weld quality and accelerated electrode wear. Refill friction stir spot welding (RFSSW) is an emerging joining technology that could replace RSW as it is believed to be capable of creating superior joints in thin sheet …