Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 21661 - 21690 of 294406

Full-Text Articles in Physical Sciences and Mathematics

New Chapters In An Old Book: New Discoveries In Transferrin's Blood Stream Modulators And Analytical Methods, Shelby Thomas Harris Dec 2024

New Chapters In An Old Book: New Discoveries In Transferrin's Blood Stream Modulators And Analytical Methods, Shelby Thomas Harris

Theses and Dissertations

Human serum transferrin is a 79 kDa glycoprotein responsible for the safe transport of iron throughout the blood stream. Transferrin binds up to two ferric ions in two domains known as the N-lobe and C-lobe respectively. Thus, there are four transferrin metalloforms: apo-Tf (with no iron bound), FeN-Tf (with one iron bound in the N-lobe), FeC-Tf (with one iron bound in the C-lobe) and holo-Tf(with two iron ions bound, one in each of the lobes). The two domains are homologous but feature differences in the kinetics and thermodynamics of iron binding and release. The two lobes are also different in …


Racial And Ethnic Differences In Outcomes Of Neonates Born At Less Than 30 Weeks' Gestation, 2018-2022, Nansi S. Boghossian, Marco Geraci, Erika M. Edwards, Jeffrey D. Horbar Dec 2024

Racial And Ethnic Differences In Outcomes Of Neonates Born At Less Than 30 Weeks' Gestation, 2018-2022, Nansi S. Boghossian, Marco Geraci, Erika M. Edwards, Jeffrey D. Horbar

Faculty Publications

Importance: Previous research has examined outcomes among very preterm newborns by the birthing parent's race and ethnicity, but knowledge about these trends during the COVID-19 pandemic is limited. Objective: To examine trends in outcomes among Black, Hispanic, and Asian preterm newborns compared with White preterm newborns. Design, Setting, and Participants: This cohort study (2018-2022) took place at 774 neonatal intensive care units in the Vermont Oxford Network. Participants were newborns born at 22 to 29 weeks' gestation. Exposure: Race and ethnicity. Main Outcomes and Measures: The primary outcomes were mortality and complications, including respiratory distress syndrome, necrotizing enterocolitis (NEC), early-onset …


Integrating Criminological Theories In Cybersecurity Risk Assessment: A Study Of The Traci Framework's Application To Critical Infrastructure, Connor S. Martin Dec 2024

Integrating Criminological Theories In Cybersecurity Risk Assessment: A Study Of The Traci Framework's Application To Critical Infrastructure, Connor S. Martin

Doctoral Dissertations and Projects

This dissertation explores the application of the Taxonomy for Risk Assessment of Cyberattacks on Critical Infrastructure (TRACI) framework, a tool designed to systematically evaluate cybersecurity threats against critical infrastructure. TRACI integrates principles from Routine Activity and Rational Choice Theories to provide a detailed and comprehensive understanding of cybersecurity risks. This integration facilitates an in-depth analysis not only of how cyberattacks occur but also of the underlying reasons they are initiated, by categorizing and assessing risks based on factors such as attacker motivations and systemic vulnerabilities. By employing ANOVA to assess variations in risk assessment scores across TRACI's designated categories—Assets, Risk …


Unquantifiable: The Impacts Of Len Vacher, Victor J. Ricchezza, Nathan D. Grawe Dec 2024

Unquantifiable: The Impacts Of Len Vacher, Victor J. Ricchezza, Nathan D. Grawe

Numeracy

This article celebrates H.L. (Len) Vacher, the founding editor of Numeracy. While many readers of this journal are no doubt familiar with Len’s contributions here and to quantitative literacy as a practice and habit of mind, fewer are intimately familiar with Len’s history and impacts as a professor and colleague. This paper analyzes Len's contributions to the advancement of quantitative literacy through his scholarship in the journal and through the careers of former students and colleagues at the University of South Florida. The former observations originate in interview data originally collected as part of research on Len’s computational geology course …


Time Reversal Delivery Of Long Duration Noise To A Targeted Location: Achieving Higher Amplitude While Maintaining A Desired Spectral Shape And Maximizing The Spatial Extent, Rylee Scott Russell Dec 2024

Time Reversal Delivery Of Long Duration Noise To A Targeted Location: Achieving Higher Amplitude While Maintaining A Desired Spectral Shape And Maximizing The Spatial Extent, Rylee Scott Russell

Theses and Dissertations

Time Reversal (TR) is a signal processing technique that can be used to focus acoustic waves to a specific location in space, with most applications aiming to create an impulsive focus. This study instead aims to focus long-duration noise signals using TR. This thesis seeks to generate higher amplitude noise at a desired location over an existing method of broadcasting equalized noise. Additionally, this thesis explores various characteristics associated with focusing long duration noise using TR. The dependence of the focal amplitude on the duration of the focused signal is explored as well as the implications of using multiple sources …


Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Reduction Works (Brw) Phase Ii Interim Demolition Plan Construction Drawings And Floodplain Encroachment Analysis (Dated November 27, 2024), Emma Rott Dec 2024

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Reduction Works (Brw) Phase Ii Interim Demolition Plan Construction Drawings And Floodplain Encroachment Analysis (Dated November 27, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Feasibility Of Large Language Models For Ceus Li-Rads Categorization Of Small Liver Nodules In Patients At Risk For Hepatocellular Carcinoma, Jiayan Huang, Rui Yang, Xiaotong Huang, Keyu Zeng, Yan Liu, Jun Luo, Andrej Lyshchik, Qiang Lu Dec 2024

Feasibility Of Large Language Models For Ceus Li-Rads Categorization Of Small Liver Nodules In Patients At Risk For Hepatocellular Carcinoma, Jiayan Huang, Rui Yang, Xiaotong Huang, Keyu Zeng, Yan Liu, Jun Luo, Andrej Lyshchik, Qiang Lu

Department of Radiology Faculty Papers

BACKGROUND: Large language models (LLMs) offer opportunities to enhance radiological applications, but their performance in handling complex tasks remains insufficiently investigated.

PURPOSE: To evaluate the performance of LLMs integrated with Contrast-enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) in diagnosing small (≤20mm) hepatocellular carcinoma (sHCC) in high-risk patients.

MATERIALS AND METHODS: From November 2014 to December 2023, high-risk HCC patients with untreated small (≤20mm) focal liver lesions (sFLLs), were included in this retrospective study. ChatGPT-4.0, ChatGPT-4o, ChatGPT-4o mini, and Google Gemini were integrated with imaging features from structured CEUS LI-RADS reports to assess their diagnostic performance for sHCC. …


Synthesis Of Higher-Order Catenanes And Catenane-Based Materials, Gray Harlan Dec 2024

Synthesis Of Higher-Order Catenanes And Catenane-Based Materials, Gray Harlan

Arts & Sciences Graduate Student Theses and Dissertations

Catenanes are a subset of mechanically interlocked molecules (MIMs) and are composed of interlocked rings that can be oriented linearly, radially, or branched. A defining feature of all MIMs is that they are bound through their architectures consisting of mechanical bonds, leading to unique topologies. Catenanes have attracted interest due to their stimuli-responsive behavior and the degrees of freedom afforded by the mechanical bond, a feature which is absent with standard covalent bonds. The stimuli responsiveness of catenanes arises from their templated syntheses, where two or more pre-macrocycles are brought together by a driving force. Various templation strategies rely on …


Using Bivalves As An Indicator For Fecal Bacteria, Kamala Chuss Dec 2024

Using Bivalves As An Indicator For Fecal Bacteria, Kamala Chuss

Honors Scholar Theses

This project focuses on the integration of fecal bacteria from warm-blooded animals into bivalve tissue, and the utilization of bivalves as an indicator for fecal bacteria in waterways. Bivalves may give a more representative long-term average of fecal bacteria in water as compared to direct water testing. The primary objective is to create a standard operating procedure to use bacterial testing of bivalves as a proxy for bacteria concentration in the water. This method can be used in places where bivalves do not already exist by adding them to a body of water, or by collecting bivalves that already exist …


Grain Boundary Solute Segregation Across The 5d Space Of Crystallographic Character, Lydia Harris Serafin Dec 2024

Grain Boundary Solute Segregation Across The 5d Space Of Crystallographic Character, Lydia Harris Serafin

Theses and Dissertations

Solute segregation in materials with grain boundaries (GBs) has emerged as a popular method to thermodynamically stabilize nanocrystalline structures. However, the impact of varied GB crystallographic character on solute segregation has never been thoroughly examined. This work examines Co solute segregation in a dataset of 7272 Al bicrystal GBs that span the 5D space of GB crystallographic character. Considerable attention is paid to verification of the calculations in the diverse and large set of GBs. In addition, the results of this work are favorably validated against similar bicrystal and polycrystal simulations. As with other work, we show that Co atoms …


A Search Using Geo600 For Gravitational Waves Coincident With Fast Radio Bursts From Sgr 1935+2154, A. G. Abac, R. Abbott, I. Abouelfettouh, Teviet Creighton, Mario C. Diaz, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Wenhui Wang Dec 2024

A Search Using Geo600 For Gravitational Waves Coincident With Fast Radio Bursts From Sgr 1935+2154, A. G. Abac, R. Abbott, I. Abouelfettouh, Teviet Creighton, Mario C. Diaz, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

The magnetar SGR 1935+2154 is the only known Galactic source of fast radio bursts (FRBs). FRBs from SGR 1935+2154 were first detected by the Canadian Hydrogen Intensity Mapping Experiment (CHIME)/FRB and the Survey for Transient Astronomical Radio Emission 2 in 2020 April, after the conclusion of the LIGO, Virgo, and KAGRA Collaborations' O3 observing run. Here, we analyze four periods of gravitational wave (GW) data from the GEO600 detector coincident with four periods of FRB activity detected by CHIME/FRB, as well as X-ray glitches and X-ray bursts detected by NICER and NuSTAR close to the time of one of the …


Schedulability Analysis Of Multi-Phase Limited-Preemption Tasks, Benjamin Standaert Dec 2024

Schedulability Analysis Of Multi-Phase Limited-Preemption Tasks, Benjamin Standaert

McKelvey School of Engineering Graduate Student Theses & Dissertations

This work addresses hard real-time systems, in which tasks must be scheduled so that they are guaranteed to meet deadlines. In particular, when tasks execute across multiple domains with high preemption costs, the combined cost of these preemptions can cause the system to become unschedulable. The number of preemptions must therefore be bounded to limit the overall task execution time, while ensuring that task blocking times are small enough to allow the system to be schedulable. Prior work introduces the Multi-Phase Secure model, which describes a more exact version of this scenario, and an algorithm to determine schedulability of sporadic …


Safety And Optimality Monitors For Learning-Enabled Systems Using Conformal Prediction, Jackson Cox Dec 2024

Safety And Optimality Monitors For Learning-Enabled Systems Using Conformal Prediction, Jackson Cox

McKelvey School of Engineering Graduate Student Theses & Dissertations

The use of machine learning to create data-driven plant models and controllers has led to an increased need for safety and optimality monitors for model-based systems. System plant models are subject to uncertainty due to learning constraints such as unseen data and overfitting or physical constraints such as unknown dynamics and noise. This uncertainty is detrimental to safety-critical systems and must be properly regulated. To curb this uncertainty, we create prediction sets using the guarantees provided by Conformal Prediction. With a user-specified high probability, these prediction sets contain the true plant system states for an entire prediction horizon, which we …


Capacity-Weighted Figures-Of-Merit For Battery Transport Metrics, Cj Sturgill, Christopher Sutton, Julian Schwenzel, Morgan Stefik Dec 2024

Capacity-Weighted Figures-Of-Merit For Battery Transport Metrics, Cj Sturgill, Christopher Sutton, Julian Schwenzel, Morgan Stefik

Faculty Publications

New battery materials with improved transport are needed. Typical measurements yield widely varying voltage-dependent diffusivities and reporting practices are diverse. Some materials (e.g. first-order phase change) have most redox occur at a specific voltage and may be sufficiently represented by singular transport metrics. Many rapid intercalation materials, however, exhibit second-order phase transitions with redox over a broad voltage range. How should such cases be compared? The use of capacity-weighted average values is suggested where voltage-dependent metrics are consolidated into representative descriptors as figures-of-merit. Examples are elaborated where differential capacity (dQ/dV) is used to derive a …


Invasion Stress Mitigates Climate Stress In A Brackish Marsh Amphipod, Lorna E. Haworth, Sarah Nancollas, Susie N. Landa, Anne E. Todgham, Richelle L. Tanner Dec 2024

Invasion Stress Mitigates Climate Stress In A Brackish Marsh Amphipod, Lorna E. Haworth, Sarah Nancollas, Susie N. Landa, Anne E. Todgham, Richelle L. Tanner

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

  1. Organisms in coastal brackish ecosystems face not only highly variable environmental conditions, but the intensity and stochasticity of these environmental conditions are anticipated to increase due to climate change. While environmental changes are often presented unilaterally as stressors, there are some anthropogenic environmental transformations, such as the introduction of habitat forming plant species, that may mitigate physiological stress imposed by warming. In Suisun Marsh in the California Delta, native plant canopies allow light and heat to penetrate to the understory yet the canopies of the introduced Phragmites australis reed block out sunlight and heat for organisms living below.
  2. We set …


Sensitivity And Application Of Frequency Domain High-Density Diffuse Optical Tomography (Fd Hd-Dot), Weihao Fan Dec 2024

Sensitivity And Application Of Frequency Domain High-Density Diffuse Optical Tomography (Fd Hd-Dot), Weihao Fan

Arts & Sciences Graduate Student Theses and Dissertations

Functional near-infrared spectroscopy (fNIRS) is a non-invasive imaging technique that measures hemodynamic responses in the brain, similar to functional magnetic resonance imaging (fMRI) but with distinct advantages. By utilizing near-infrared light, fNIRS can penetrate biological tissues and detect changes in oxygenated and deoxygenated hemoglobin. Additionally, fNIRS is portable, noninvasive and inexpensive. Within the realm of fNIRS, several measurement techniques exist, including Continuous Wave (CW), Frequency Domain (FD), and Time Domain (TD) methods. In this dissertation, we focused on the effects, fundamental principles and applications of FD designs. We provided the introduction in Chapter 1, and discussed the background theory and …


On The Power Series Method For Solitons And Peakons Of Nonlinear Pde, Erika Olivares, Vesselin Vatchev Dec 2024

On The Power Series Method For Solitons And Peakons Of Nonlinear Pde, Erika Olivares, Vesselin Vatchev

School of Mathematical & Statistical Sciences Faculty Publications

In this paper we discuss the power series method to obtain traveling wave solutions of nonlinear PDE in one space variable. The method, including a recursive procedure for the coefficients and error estimate for the partial sums, is presented for the Camassa-Holm equation. Numerical examples of approximate single soliton and single peakon solutions are included.


A Topological Route To Engineering Robust And Bright Supersymmetric Laser Arrays, Soujanya Datta, Mohammad Alizadeh Fard, Ramy El-Ganainy, Krishanu Roychowdhury Dec 2024

A Topological Route To Engineering Robust And Bright Supersymmetric Laser Arrays, Soujanya Datta, Mohammad Alizadeh Fard, Ramy El-Ganainy, Krishanu Roychowdhury

Michigan Tech Publications

In recent years, several proposals that leverage principles from condensed matter and high-energy physics for engineering laser arrays have been put forward. The most important among these concepts are topology, which enables the construction of robust zero-mode laser devices, and supersymmetry (SUSY), which holds the potential for achieving phase locking in laser arrays. In this work, we show that the relation between supersymmetric coupled bosonic and fermionic oscillators on one side, and bipartite networks (and hence chiral symmetry) on another side can be exploited together with non-Hermitian engineering for building one- and two-dimensional laser arrays with in-phase synchronization. To demonstrate …


Understanding Gravitational Lensing Using General Relativity, Sophia Macqueen Pooler Dec 2024

Understanding Gravitational Lensing Using General Relativity, Sophia Macqueen Pooler

Honors Program Theses and Projects

Gravitational lensing is typically modelled using thin-lens approximations which assume that the effect of the gravitational field of the intervening mass can be adequately described by the physics of an optical lens. In this project we derived equations to model how spacetime curvature alters geodesics available to light rays directly from the principles of general relativity and used these results to produce visualizations of these effects. We began with the Robertson-Walker metric to define a flat, unperturbed space time and determined a suitable mass density model for the galaxy cluster that will act as our gravitational lens. Employing this metric …


The Chinese Room And Creating Consciousness: How Recent Strides In Ai Technology Revitalize A Classic Debate, Thomas Held Dec 2024

The Chinese Room And Creating Consciousness: How Recent Strides In Ai Technology Revitalize A Classic Debate, Thomas Held

Departmental Honors & Graduate Capstone Projects

Since 1950, when Alan Turing first posed the question of whether a machine could think, the possibility of artificial consciousness has sparked intense and ongoing debate, and strong positions have been staked out on each side of the argument. On the one hand, the historically popular functionalist school of thought claims that any system capable of producing suitably “conscious” behavior in a given environment should be considered conscious. On the other hand, John Searle’s famous “Chinese Room” argument insists that this cannot be the case, and that consciousness is in all likelihood not artificially reproducible. However, both positions have issues—the …


Artificial Intelligence-Based Methodologies For Early Diagnostic Precision And Personalized Therapeutic Strategies In Neuro-Ophthalmic And Neurodegenerative Pathologies, Rahul Kumar, Ethan Waisberg, Joshua Ong, Phani Paladugu, Dylan Amiri, Jeremy Saintyl, Jahnavi Yelamanchi, Robert Nahouraii, Ram Jagadeesan, Alireza Tavakkoli Dec 2024

Artificial Intelligence-Based Methodologies For Early Diagnostic Precision And Personalized Therapeutic Strategies In Neuro-Ophthalmic And Neurodegenerative Pathologies, Rahul Kumar, Ethan Waisberg, Joshua Ong, Phani Paladugu, Dylan Amiri, Jeremy Saintyl, Jahnavi Yelamanchi, Robert Nahouraii, Ram Jagadeesan, Alireza Tavakkoli

SKMC Student Presentations and Publications

Advancements in neuroimaging, particularly diffusion magnetic resonance imaging (MRI) techniques and molecular imaging with positron emission tomography (PET), have significantly enhanced the early detection of biomarkers in neurodegenerative and neuro-ophthalmic disorders. These include Alzheimer's disease, Parkinson's disease, multiple sclerosis, neuromyelitis optica, and myelin oligodendrocyte glycoprotein antibody disease. This review highlights the transformative role of advanced diffusion MRI techniques-Neurite Orientation Dispersion and Density Imaging and Diffusion Kurtosis Imaging-in identifying subtle microstructural changes in the brain and visual pathways that precede clinical symptoms. When integrated with artificial intelligence (AI) algorithms, these techniques achieve unprecedented diagnostic precision, facilitating early detection of neurodegeneration and …


Method For Measuring The Rate Of Improvement In Survival Times Of Cancer Patients, Thobani Chaduka Dec 2024

Method For Measuring The Rate Of Improvement In Survival Times Of Cancer Patients, Thobani Chaduka

Theses and Dissertations

In clinical settings, technological advancements have facilitated health care improvements in data analytics, artificial intelligence, telemedicine, health information systems, etc. This has furthered our understanding of cancer biology and treatment mechanisms. In this study, we aim to understand whether Moore’s law-like models may derive from historical cancer survival data, and how they can predict survival statistics for newly diagnosed cancer patients. Historically these predictions have previously been done with the diagnosis year as the independent variable and the survival as a dependent variable. In this study we use death year data as an independent variable and from that, we derive …


Microservice Architecture For Social Media Data Collection, Analysis, And Dashboarding, Sai Ram Manohar Koya Dec 2024

Microservice Architecture For Social Media Data Collection, Analysis, And Dashboarding, Sai Ram Manohar Koya

Theses and Dissertations

This research presents a novel methodology for the collection, processing, and analysis of social media data using a microservices-based architecture. The proposed system integrates multiple data streams from various social media platforms, transforming this information into a unified, JSON-based DataObject model for seamless processing and analysis. Unlike monolithic architectures, the microservices approach offers scalability and flexibility, allowing the system to handle the high velocity, variety, and volume of unstructured social media data, including text, images, and videos. By leveraging NoSQL databases like MongoDB, the methodology efficiently manages data in a semi-structured format, supporting real-time analytics such as sentiment analysis, toxicity …


Exploration Of The Gap Between The Secure Web Application Development Competencies Needed By Industry And Those Competencies Provided By Graduates Of U.S. Undergraduate Software Engineering Programs, Gary Allen Harris Dec 2024

Exploration Of The Gap Between The Secure Web Application Development Competencies Needed By Industry And Those Competencies Provided By Graduates Of U.S. Undergraduate Software Engineering Programs, Gary Allen Harris

Theses and Dissertations

Literature demonstrates that threats and attacks on computer systems and networks have been around since the beginning of computing, and the number, severity, sophistication, and costs of attacks and data breaches are continuing to grow. Several studies suggest that one of the most common causes of data breaches is insecure web applications that contain vulnerable application code. These studies suggest that poor secure web application development practices are a prime cause of the susceptible web applications. Additionally, studies suggest that higher education is not meeting industry’s secure software/web application development needs. Employers have reported that they are not getting the …


Existence And Uniqueness Of Solutions Of Fourth Order Iterative Boundary Value Problems, Zach Whaley Dec 2024

Existence And Uniqueness Of Solutions Of Fourth Order Iterative Boundary Value Problems, Zach Whaley

Theses and Dissertations

In this dissertation, we study the fourth-order iterative differential equation \begin{displaymath} x^{(4)}(t) = \f(t, x(t), x^{[2]}(t), \dots, x^{[m]}(t)) \end{displaymath} where $x^{[2]}(t) = x(x(t))$ and $x^{[j]}(t) = x(x^{[j - 1]}(t))$ for $j > 2$. We consider the above equation with multiple sets of boundary conditions, and we state results on the existence and uniqueness of solutions for each set of boundary conditions. In Chapter 2, the boundary conditions are conjugate boundary conditions, \begin{align*} &x(-a) = -a, \ x'(-a) = b, \ x''(-a) = c, \ x(a) = a \\ &x(-a) = -a, \ x(a) = a, \ x'(a) = b, \ x''(a) …


Berkeley Pit Geochemical And Limnological Evaluation Pre-Design Investigation (Pdi) Work Plan, Josh Bryson Dec 2024

Berkeley Pit Geochemical And Limnological Evaluation Pre-Design Investigation (Pdi) Work Plan, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Brain Endothelial Permeability, Transport, And Flow Assessed Over 10 Orders Of Magnitude Using The In Situ Brain Perfusion Technique, Quentin R. Smith, Haritha Mandula, Jagan Mohan R. Parepally, Jun Oki, Fancy Thomas, Helen R. Thorsheim, Abraham J. Al‑Ahmad, Thomas J. Abbruscato, Per Ask, David S. Hage, Peter J. Robinson Dec 2024

Brain Endothelial Permeability, Transport, And Flow Assessed Over 10 Orders Of Magnitude Using The In Situ Brain Perfusion Technique, Quentin R. Smith, Haritha Mandula, Jagan Mohan R. Parepally, Jun Oki, Fancy Thomas, Helen R. Thorsheim, Abraham J. Al‑Ahmad, Thomas J. Abbruscato, Per Ask, David S. Hage, Peter J. Robinson

David Hage Publications

Background Cerebral blood flow normally places a limit on the magnitude of brain vascular permeability (P) that can be measured in vivo. At normal cerebral blood flow, this limit falls at the lower end of lipophilicity for most FDAapproved CNS drugs. In this study, we report on two methods that can be used to overcome this limitation and measure brain vascular permeability values that are up to ~1000 times higher using the in situ brain perfusion technique.

Methods Rat brain was perfused with physiological saline at increased flow rate and in the presence of various concentrations of plasma protein, serum …


Optimization Of Construction Scheme Of Ultra‑Large Special‑Shaped Foundation Pit Adjacent To Existing Station And Temporary Steel Bridge, Chen Dengwei Dec 2024

Optimization Of Construction Scheme Of Ultra‑Large Special‑Shaped Foundation Pit Adjacent To Existing Station And Temporary Steel Bridge, Chen Dengwei

Journal of China & Foreign Highway

With the intensifying development density of urban underground space in China,the impact of ultra-large foundation pit construction on the normal operation of adjacent structures cannot be ignored.Relying on the Huangmugang Comprehensive Transportation Hub Project in Shenzhen,this paper studied the deformation of the envelope structure and soil caused by the excavation of the ultra-large special-shaped foundation pit,as well as the structural response of the deformation of the adjacent existing station and the temporary steel bridge.The paper optimized the construction scheme of the special-shaped foundation pit excavation.The results show that the deformation trend of the envelope structure on the north and south …


Comparison Analysis Of Different Settlement Prediction Models Under Small Post‑ Constructio N Load On Soft Foundation, Han S Hanpeng, Fu Wei, Zhang Junhui, Lin Chen Dec 2024

Comparison Analysis Of Different Settlement Prediction Models Under Small Post‑ Constructio N Load On Soft Foundation, Han S Hanpeng, Fu Wei, Zhang Junhui, Lin Chen

Journal of China & Foreign Highway

Settlement deformatio n is a key conc ern in soft foundation construction.Since there is still a small load applied after the filling of soft foundation in the actual project,based on the settlement monitoring data of the high-fill section of Zhaoyang West Ring Expressway in Zhaotong City,Yunnan Province,three settlement prediction methods,namely the hyperbolic method,the three-point method,and the Hoshino method,were used to predict,compare,and analyze the settlement of the fill foundation,and the fitting characteristics of each model were summarized.By comparing the fitting curves and the actual settlement curves,it was found that the loading on the roadbed will cause large errors in the prediction …


Experimental Study On Deformation Characteristics Of High Liquid Limit Soil Considering The Effect Of Temperature, Li Bangwu, Shen Xuning, Zhang Rui, Chen Yanrong Dec 2024

Experimental Study On Deformation Characteristics Of High Liquid Limit Soil Considering The Effect Of Temperature, Li Bangwu, Shen Xuning, Zhang Rui, Chen Yanrong

Journal of China & Foreign Highway

In order to study the influence of temperature on the absorbed bound water and deformation characteristics of high liquid limit soil,the high liquid limit soil in Hunan and Hainan provinces were selected for test.The influence of temperature on the content of bound water was measured by a temperature-controlled water bath volumetric flask test.The consolidation test was carried out on the samples with a one-dimensional temperature-controlled consolidometer,and the variation law of high liquid limit soil deformation affected by temperature was analyzed under the modified pore ratio considering the bound water content.The results show that the absorbed bound water in the high …