Statistical Methodology Commons^™

Supplemental Bibliographic Details. From 2001 Mars Odyssey To Earth’S Climate Crisis: Integrating Gamma Spectroscopy, Martian Soil Simulants, And Plant Genomes For Agroecology, Anchored In Sri Lanka’S Mars-Context Serpentinites, Suniti Karunatillake, Maheshi Dassanayake, Carlos Gary Bicas

Planetary Science Lab

Bibliographic details follow to supplement hyperlinked citations in the multinational GANGOTRI-supporting project conceived by Karunatillake, Dassanayake, and Gary-Bicas

Interpretable Sample Uncertainty Measures For Ranked-Choice Election Polls, Jason Liang

CMC Senior Theses

Polling results from traditional single-choice plurality elections are readily interpretable. Simple frequentist population parameters are estimated, including each candidate’s total support and the size of the front runner's lead. If the point estimate for the size of the front runner's lead exceeds the margin of error of the lead, we can conclude that the poll shows a statistically significant front runner. However, the interpretability of these population statistics disappears when applied to ranked-choice voting elections. Because ballots rank multiple candidates and candidates are eliminated in rounds, simple population-wide parameters are not well-defined. In RCV elections, a candidate’s ability to win …

Bayesian Analysis Of Nominal Outcomes With Missing Values Using Multinomial And Multivariate Multinomial Probit Models, Suwash Silwal

Dissertations, Master's Theses and Master's Reports

Nominal outcomes frequently arise in health sciences, transportation, economics, market research, and related fields. These data often contain missing values, while longitudinal and panel studies generate multiple correlated nominal responses. Bayesian estimation of multinomial probit (MNP) and multivariate multinomial probit (MMNP) models provides a flexible framework for analyzing such data but remains computationally challenging due to high-dimensional likelihood integration, restrictive covariance identification constraints, and poor mixing of Markov chain Monte Carlo (MCMC) algorithms, particularly in the presence of missing data. This dissertation develops parameter-expanded data augmentation (PX-DA) methods for MNP and MMNP models with missing nominal outcomes by incorporating parameter …

Modeling Housing Prices: Which Features Matter Most?, Alex Ruvolo

Williams Honors College, Honors Research Projects

This paper attempts to find the biggest factors and traits that influence the cost of housing. This will include the lot size, type of street, utilities, neighborhood, year built, heating, electrical, yard size, number of different rooms, age, condition, and others. I will attempt to answer the question of whether the prices of houses have changed within the last 5 to 10 years, and obviously this is an easy question to answer. However, the bigger question beyond this is are the main factors affecting housing prices all important in explaining this relationship? Is one factor more important than the rest …

Hybrid Patchtst And Physics-Based Framework For Predicting Lithium-Ion Battery State Of Health, Pavan Ravuri

Honors Undergraduate Theses

Accurately forecasting the state of health of lithium-ion batteries is critical for improving performance, reliability and lifetime in energy storage applications. Battery capacity degrades into a nonlinear pattern over cycling due to electrochemical processes where neither purely data driven nor physics-based models can capture alone. This study looks at a hybrid framework combining that PatchTST patch-based transformer architecture with physics-based features derived from the solid electrolyte interphase and pseudo two-dimensional models. Physics inspired proxy features were computed from cycling data and concatenated with electrochemical measurements as added input channels before patch segmentation. There are five model configurations that were evaluated …

Machine Learning-Based Spatio-Temporal Modeling Of Climate Dynamics And Desertification In The Sahara–Sahel Region, Stephen M. Tivenan

Theses and Dissertations

Arid climate classifications are threshold-dependent and easily interpretable mappings that are widely used in ecological, agricultural, and climate-related studies. These classifications inform scientific understanding, support policy and land management decisions, and provide an intuitive summary of environmental conditions. Despite their usefulness, traditional arid climate classifications often fail to quantify uncertainty, incorporate spatial context, or account for complex relationships among relevant environmental variables. Existing approaches to uncertainty assessment have largely relied on comparing classifications across multiple datasets or alternative formulas, but these methods generally overlook important spatial dependence and latent structure in the data.

This dissertation develops three machine learning-based statistical …

Statistical Quality Control: A Bayesian Framework, Jakia Jaber Tunal

College of Graduate Studies: Theses & Dissertations

In many industries, it is important to assess whether a machine or system is operating within acceptable limits or has gone out of control. This project applies Bayesian statistics to monitor a process over time and detect changes in its behavior. First, initial data are collected to understand the system’s typical performance and to form a starting prior distribution. As new observations arrive over time, the prior is updated through Bayesian inference, combining past information with incoming data. This iterative updating creates a continuous monitoring framework that adapts as more evidence becomes available. When the updated results suggest that the …

A Geospatial Assessment Of Groundwater Salinization In A Multi-Aquifer System: Durango, Mexico, Juan Lopez-Sierra

Graduate Theses/Dissertations

Groundwater salinization poses a critical environmental concern for water resource sustainability in arid and semi-arid regions. This study evaluates spatial and temporal patterns of groundwater salinity across the state of Durango, Mexico, using total dissolved solids (TDS), sodium adsorption ratio (SAR), as salinity indicators and nitrate-nitrogen (NO₃–N) as an anthropogenic indicator. Groundwater quality data were obtained from (CONAGUA), a Mexican water agency. To assess salinity variations with respect to time, while minimizing interannual sampling bias, two multi-year sampling periods were selected: 2012-2013, and 2020-2021. Final datasets consisted of 122 wells for 2012–2013 and 131 wells for 2020–2021. The wells were …

An Integrated Data-Driven Framework For Arctic Shipping: Analyzing Vessel Speed, Environmental And Ecological Factors Through Innovative Statistical Spatio-Temporal Methods, Inverse Optimization And Machine Learning, Mauli Pant

Theses and Dissertations

This dissertation develops an integrated data-driven framework to analyze vessel navigation and ecological risk in the United States Arctic from 2010 to 2019. As environmental change and maritime activity increase in the region, understanding how vessels respond to dynamic conditions and how those responses interact with marine ecosystems has become increasingly important. A central theme of this dissertation is the treatment of vessel speed as both an observed outcome and a decision variable reflecting trade- offs among operational, environmental, and ecological factors. The first chapter develops a predictive framework for vessel speed over ground (SOG) using Gaussian Process Boosting (GPBoost), …

Major And Institution Transfer Path Combinations And The Relaxed Lasso Method: Parsimonious Prediction Of Vertical Transfer Student Success, David Wutchiett, A. W. Logue, Martin Kurzweil, Colin Chellman

Publications and Research

The majors, institutions, and their combinations, which characterize transfer between higher education institutions relate to student success but introduce high-dimensionality and multicollinearity to statistical modeling. Relaxed lasso regression, a procedure blending regularized lasso models with unregularized refit models, selects variables and facilitates unbiased coefficient estimation in high-dimensional settings. Using a large sample of students transferring from associate to bachelor’s programs (n=28,166), we compared lasso and ridge regression parsimonious models predicting bachelor’s graduation and posttransfer GPA improvement, evaluating associations using unregularized parsimonious predictive models. Relaxed lasso parsimonious optimal models outperformed standard lasso and ridge regression models while including few of 702 …

Flavor, Transverse Momentum, And Azimuthal Dependence Of Charged Pion Multiplicities In Semi-Inclusive Deep-Inelastic Scattering With 10.6 Gev Electrons, P. Bosted, H. Bhatt, S. Jia, W. Armstrong, D. Dutta, R. Ent, D. Gaskell, E. Kinney, H. Mkrtchyan, S. Ali, R. Ambrose, D. Androic, C. Ayerbe Gayoso, A. Bandari, V. Berdnikov, D. Bhetuwal, D. Biswas, M. Boer, E. Brash, A. Camsonne, M. Cardonna, J. P. Chen, J. Chen, M. Chen, E. M. Christy, S. Covrig, S. Danagoulian, M. Diefenthaler, B. Duran, C. Elliot, H. Fenker, E. Fuchey, J. O. Hansen, F. Hauenstein, T. Horn, G. M. Huber, M. K. Jones, M. L. Kabir, A. Karki, B. Karki, S. J. D. Kay, C. Keppel, V. Kumar, N. Lashley-Colthirst, W. B. Li, D. Mack, S. Malace, P. Markowitz, M. Mccaughan, E. Mcclellan, D. Meekins, R. Michaels, A. Mkrtchyan, C. Morean, G. Niculescu, I. Niculescu, B. Pandey, S. Park, E. Pooser, B. Sawatzky, G. R. Smith, H. Szumila-Vance, A. S. Tadepalli, V. Tadevosyan, R. Trotta, H. Voskanyan, S. A. Wood, Z. Ye, C. Yero, X. Zheng, Hall C Sidis Collaboration

Physics Faculty Publications

Measurements of semi-inclusive deep-inelastic scattering multiplicities for 𝜋⁺ and 𝜋⁻ from proton and deuteron targets are reported on a grid of hadron kinematic variables 𝑧, 𝑃𝑇, and 𝜙* for leptonic kinematic variables in the range 0.3< 𝑥< 0.6 and 3< 𝑄²< 5GeV². Data were acquired in 2018 and 2019 at Jefferson Lab Hall C with a 10.6 GeV electron beam impinging on 10-cm-long liquid hydrogen and deuterium targets. Scattered electrons and charged pions were detected in the High Momentum Spectrometer and Super High Momentum Spectrometer, respectively. The multiplicities were fitted for each bin in (𝑥,𝑄²,𝑧,𝑃_𝑡) to extract the 𝜙*—independent 𝑀₀ and the azimuthal modulations ⟨cos⁡(𝜙*)⟩ and ⟨cos⁡(2⁢𝜙*)⟩. The 𝑃_𝑡 dependence of the 𝑀₀ results was found to be remarkably consistent for the four cases studied: 𝑒⁢𝑝→𝑒⁢𝜋⁺⁢𝑋, 𝑒⁢𝑝→𝑒⁢𝜋^−⁢𝑋, 𝑒⁢𝑑→𝑒⁢𝜋⁺⁢𝑋, 𝑒⁢𝑑→𝑒⁢𝜋^−⁢𝑋 over the range 0GeV< 𝑃_𝑡< 0.4GeV, as were the multiplicities evaluated near 𝜙*=180∘ over the extended range 0GeV< 𝑃_𝑡< 0.7GeV. The Gaussian widths of the 𝑃𝑡 dependence exhibit a quadratic increase with 𝑧. The cos⁡(𝜙*) modulations were found to be consistent with zero for 𝜋⁺, in agreement with previous world data, while the 𝜋⁻ moments were, in many cases, significantly greater than zero. The cos⁡(2⁢𝜙*) modulations …

A Comparative Evaluation Of Data Imbalance Handling Techniques In Machine Learning Models For One-Year Mortality Prediction In Liver Cirrhosis, Sumiya Hasan Trisha

UNF Graduate Theses and Dissertations

Liver cirrhosis is associated with substantial morbidity and mortality, making one-year mortality prediction a clinically relevant problem. Using a liver cirrhosis dataset as the motivating application, this thesis evaluates five machine learning classifiers—Logistic Regression, Random Forest, XGBoost, LightGBM, and CatBoost—under five class-imbalance handling strategies: Baseline learning, Random Oversampling, SMOTE-NC, ADASYN, and Cost-Sensitive Learning. Hyperparameter tuning was conducted using randomized search, and predictive performance was assessed over 200 iterations of Monte Carlo Cross-Validation using Accuracy, Precision, Recall, Fl-score, and ROC-AUC.

The results suggest that imbalance-handling strategies can materially affect predictive performance, particularly recall. Because the outcome of interest is death within …

Variance Shrinkage In Dunnett-Type Multiple Comparisons With Missing Data, Md Habibullah

UNF Graduate Theses and Dissertations

Dunnett’s procedure is widely used for comparing multiple treatments with a control, but its application becomes challenging in the presence of missing data and multiple com- parisons. An improved Dunnett-type procedure addresses this by using multiple imputation under Rubin’s framework and constructing unified confidence intervals based on a multi- variate t distribution, allowing valid simultaneous inference while controlling the family-wise error rate (FWER). This work further extends the method by incorporating shrinkage-based variance estimation. Specifically, individual group variances are shrunk toward a common value to improve stability. This approach is particularly effective when group variances are similar or moderately different, …

Ridit-Based Adaptive Allocation In Two-Stage Clinical Trials With Binary Outcomes, Dewan Fahim

UNF Graduate Theses and Dissertations

This study explores better ways to assign patients to treatments in clinical trials with binary outcomes, such as success or failure. Adaptive methods are used to learn from early results and adjust treatment assignments during the trial, helping more patients receive better performing treatments while maintaining reliable conclusions. We focus on trials comparing multiple treatments using a two-stage design. In the first stage, several treatments are tested to identify the most promising one; in the second stage, that treatment is compared with a control. Unlike traditional equal assignment, we use adaptive allocation in the second stage to make better use …

A Comparative Study Of Classification Methods For Healthcare Analytics, Xueting Zhao

UNF Graduate Theses and Dissertations

This thesis presents a comparative study of logistic regression, Linear Discriminant Analy- sis (LDA), and Quadratic Discriminant Analysis (QDA) for binary classification in healthcare analytics, integrating theoretical derivation, simulation, and real-data application. A facto- rial simulation study crosses the covariance structure (equal vs. unequal), predictor correla- tion (ρ ∈ {0, 0.5, 0.9}), dimensionality (p ∈ {2, 5, 10}) and sample size (n ∈ {50, 100, 200}) across 54 scenarios with 1,000 Monte Carlo replicates each. Three main findings emerge. Logistic regression and LDA are nearly interchangeable when the assumption of equal-covariance holds. QDA achieves substantially better discrimi- nation when class-specific …

Two-Stage Response-Adaptive Randomization Designs For Multi-Arm Trials With Normal Outcome, Tanjin Tamanna Happy

UNF Graduate Theses and Dissertations

This study focuses on improving how clinical trials compare new treatments with a standard treatment, when the response is quantitative (normally distributed). In a common two-stage design, several new treatments are first evaluated, and the best-performing one is selected if it appears better than the standard. In the second stage, this selected treatment is compared again with the standard using additional data to confirm its effectiveness. This approach is known to be efficient in terms of accuracy and sample size savings. We extend this design by introducing an adaptive method for assigning patients to treatments in the second stage. Instead …

Numerical Simulation Analysis On Support Performance Of Inclined-Vertical Combined Double-Row Interlocked Steel Pipe Piles, Zhou Yi, Zhang Ning, Wang Yanhua, Zhou Dequan

Journal of China & Foreign Highway

To select appropriate support structures in foundation pit engineering of underground tunnels for the Hong Kong International Airport (HKIA ),this paper proposed the use of inclined-vertical combined interlocked steel pipe piles,which are beneficial for support,water isolation,and recovery.Numerical simulations were conducted using finite element software Midas GTS NX to analyze the effect of different combination types and inclination angles on the engineering response of the inner-row piles of inclined-vertical combined double-row interlocked steel pipe piles.The results show that the inclined-vertical combined double-row piles reduce the horizontal displacement at the top of the inner-row piles by approximately 50% and decrease the peak …

Influence Mechanism Of Static And Dynamic Loading On Adsorbed Bound Water And Deformation In High Liquid Limit Soils, Fang Zhongwang, Zhou Shiji E, Xiao Yupeng, Peng Xin, Zhang Rui

Journal of China & Foreign Highway

In order to reveal the evolution law of adsorbed bound water and the deformation characteristics of high liquid limit soil under static and dynamic loading,Hainan high liquid limit soil and Hunan clayey sand were selected as comparative samples.Through consolidation,consolidation-creep,and dynamic triaxial tests,the deformation patterns of high liquid limit soil under different loading conditions were obtained.By combining nuclear magnetic resonance tests,the variation pattern of adsorbed bound water content in specimens before and after the consolidation and dynamic triaxial tests was studied.The results show that under static loading,the compression coefficient of high liquid limit soil meets the requirements of the Specifications for …

Utilization Technology And Compaction Quality Control Of Hardened Layer In Beam Yard Of Rock-Filled Roadbed, Cheng Xiaoliang, Tian Wendi, Gao Mengke, Zhou Xujia

Journal of China & Foreign Highway

To investigate the utilization technology and compaction quality control of hardened layers in the beam yard of rock-filled roadbed,the optimization design and construction control methods for rock-filled roadbed under different conditions were proposed based on a highway project in Guangdong Province.When the elevation of the hardened layer was lower than the top surface elevation of the roadbed and the top surface bending and settlement value of the hardened layer was less than that of the rock-filled roadbed,the gravel material could be filled directly on the hardened layer to the top surface elevation of the roadbed,and acceptance and pavement design could …

Shaking Table Test And Numerical Simulation Of Seismic Response Characteristics Of Rock Slope With Muddy Interlayer, Duan Chenggang, Fang Yanlin, Tian Yeqing, Zhou Zhijun

Journal of China & Foreign Highway

In order to study the seismic macroscopic failure process and dynamic response characteristics of rock slope with muddy interlayer and reveal the influence of muddy interlayer on slope stability,a similar slope model with concave and convex slope types was designed,and shaking table test was carried out;finite element analysis was used for numerical modeling analysis,and the results obtained by the two models were compared.The results show that:① The macroscopic deformation and failure process of the model slope is divided into three stages.Muddy interlayer dislocates,and cracks occur;mud interlayer slips,and cracks expand;slope collapses;② The seismic load has a decisive influence on the stability …

Study On Creep Mechanical Properties And Constitutive Models Of Silty Clay With Different Compaction Degrees, Li Mingchao, Wu Gangrong

Journal of China & Foreign Highway

In order to ensure the smooth construction and long-term stable operation of silty clay sections in the Zhoukou –Pingdingshan highway project,this paper conducted one-dimensional creep tests on silty clay samples with different compaction degrees under different stress levels and studied the effect law of compaction degree on its long-term creep mechanical properties.By establishing the corresponding creep constitutive models,a theoretical basis was provided for the prevention and control of creep failure in silty clay subgrades in engineering practice.Research results show that:① Under the same stress level,with the increase of compaction degree,the instantaneous strain,creep strain,and total strain of the samples all decrease …

Reflection Cracking Resistance And Fatigue Performance Of Super-Flexible Fma Mixture, Lan Yong, Deng Xinghe, Zhang Zida, Wu Kuanghuai, Ding Weizhe, Guan Xuebing, Peng Tiekun

Journal of China & Foreign Highway

To investigate the fatigue performance and reflection cracking resistance of super-flexible fluid mastic asphalt (FMA ) mixtures,this study designed a super-flexible FMA- 13 mixture by the mastic flow for filling (MaFF ) method.The effects of temperature and maximum horizontal tensile displacement on the cracking resistance of both FMA- 13 and GAC- 13 (as the control ) mixtures were explored via the Overlay Tester.Additionally,small-scale accelerated pavement loading tests were conducted to analyze the effect of load cycles on the rebound modulus of the FMA- 13 mixture.A nonlinear fatigue damage model was employed to predict the fatigue life of both mixtures.The results …

Research On Pavement Roughness Evaluation Method Based On Smartphones, Siriguleng Bai, Yili Guoqi, A Rong, Guo Guoying, Wang Jing

Journal of China & Foreign Highway

To address the low efficiency and high cost of current detection methods,as well as the insufficient accumulation of pavement damage data on rural low-grade roads,this study developed a vehicle vibration data acquisition application based on smartphones and proposed a conversion method for calculating an index equivalent to the international roughness index (IIRI).Vertical acceleration signals collected during vehicle travel were proposed through high-pass filtering and denoising to calculate the vertical displacement,from which a converted I'IRI was derived.Experimental results show that although the data collected by smartphones has slightly lower accuracy than that collected by professional detection equipment,the proposed I'IRI exhibits a …

Study On Thermal Corrosion Resistance Of Asphalt Modified By Phase Change Materials, Li Ping, Wang Zhijian, Zheng Zhipeng, Yi Chengxi, Zhou Dexiang

Journal of China & Foreign Highway

In order to address the degradation issues faced by asphalt mixtures in airport runways and highway pavement,particularly focusing on thermal stability and thermal corrosion under high-temperature conditions,this paper investigated the impact of phase change materials (PCMs ) on the thermal corrosion resistance of asphalt.Three types of PCMs were utilized to jointly modify SBS-modified asphalt,and a series of tests were conducted to systematically analyze the performance of the modified asphalt,including thermogravimetric-differential scanning calorimetry (TG-DSC ) analysis,heat storage and release performance evaluation,laboratory thermal corrosion simulation of asphalt,three-index testing,and dynamic shear rheometer (DSR ) testing.The results indicate that PCMs can effectively regulate asphalt …

Sound Attenuation Characteristics In Relation To Compaction Degree In Sandy Soil, Liu Junbin, Long Shiguo

Journal of China & Foreign Highway

In order to investigate the effect of water content and compaction degree on the attenuation characteristics of sound waves in sandy soil,this paper first determined the particle gradation of the soil through a sieving test and identified its optimal water content through a compaction test.Then,six sets of ring knife specimens of sandy soil with different water contents and nine sets with varying compaction degrees were prepared.Ultrasonic testing was carried out using the acoustic transmission method,and the received acoustic signals were subjected to time-frequency analysis to extract acoustic characteristic parameters indicative of the compaction degree.Finite element simulation was employed to explore …

Road Performance And Water-Softening Characteristics Of Stabilized Soil Under Cyclic Loading, Hu Hong, Li Zongheng, Feng Yong, Cao Zhigang, Liu Yaoxing

Journal of China & Foreign Highway

To effectively deal with waste soil and reduce environmental pollution,this paper took a road engineering project in Shaoxing as the research object and conducted a cyclic triaxial incremental loading test on the undisturbed lime soil under undrained conditions to study the effects of confining pressure,cyclic stress ratio,and water immersion on its performance.The results show that when the cyclic stress ratio increases from 1 to 4,the cumulative strain and resilient strain increase rapidly in the initial loading stage,showing a trend of “stepwise” increase.The cumulative strain produced at a cyclic stress ratio of 2 is about twice that at the cyclic stress …

Study On Mechanical Properties Of Improved High Liquid Limit Soil Based On Solid Waste, Zhang Yafei, Qin Yalan, Wu Jiacheng, Zhang Rui, Gao Yingli, Zhu Zhanghuang, Li Lu

Journal of China & Foreign Highway

To improve the application of the solid waste polymer-modified high liquid limit soil as filler in the upper embankment or road bed work area,this study prepared colloidal polymer and improved materials of traditional cement by using industrial solid waste (fly ash,steel slag,etc.) and compared them with the improved high liquid limit soil to investigate its mechanical properties and economic benefits.The mechanical properties of high liquid limit soil improved by the colloidal polymer of solid waste,as well as its stability and durability when immersed in water were studied through a liquid-plastic limit test,a laboratory compaction test,a shrinkage test,a California bearing ratio …

Workability And Compressive Strength Of Steel Slag Powder-Cement-Based Self-Compacting Iron Tailings Mortar, Yang Zaiqing, Jin Shengji, Zhang Xiaogang, Sheng Guohua

Journal of China & Foreign Highway

Steel slag and iron tailings are typical industrial solid waste.Their large-scale stockpiling occupies a significant amount of land and has a negative impact on the environment.To respond to the Guiding Opinions on the Comprehensive Utilization of Bulk Solid Waste in the 14th Five Year Plan and expand the use of steel slag powder and iron tailings sand as concrete admixtures and aggregates,this study prepared steel slag powder-cement-based self-compacting iron tailings mortar.The workability index of mortar was determined through two tests:the flow expansion test and the V-shaped funnel test.Additionally,the compressive strength of the mortar was measured using a servo press.The results …

Effect Of Lithium Slag Dosage On Strength And Dry Shrinkage Properties Of Cement Stabilized Recycled Macadam, Zhao Ziyu, Gan Xianyong

Journal of China & Foreign Highway

To improve the mechanical properties and dry shrinkage properties of cement stabilized bases formed by cold in-place recycling of cement concrete pavements,lithium slag was mixed into the recycled mixture in mass ratios of 0%,6%,9%,and 12%.The effects of lithium slag dosage on the mechanical,dry shrinkage,and water stability properties of the recycled base were analyzed through the unconfined compressive strength,splitting,dry shrinkage,and water stability tests,and the mechanism underlying the improving effect of lithium slag on the cement stabilized base formed by cold in-place recycling of the cement concrete pavement was analyzed by X-ray diffraction (XRD ) and scanning electron microscopy (SEM ).The results …

Mechanical Properties Of Transition Section Of Cable-Stayed Bridge With Kilometer-Scale Steel-Uhpc Composite Girders, Li Qiu, Zhi Haitao, Peng Yanqing, Peng Jianxin, Yuan Qin, Wu Xuewei

Journal of China & Foreign Highway

To study the mechanical properties of the steel-concrete composite section between steel box girders and steel-ultra-high performance concrete (UHPC ) composite girders,the Guanyinsi Yangtze River Bridge with a main span of 1 160 m was used as the background.Through refined finite element modeling,the stress characteristics under the most unfavorable load conditions and transmission mechanism of the steel-concrete composite section were analyzed,and the main factors affecting the stress of the composite section were discussed.The results indicate that under the most unfavorable load conditions,the stress of each component in the steel-concrete composite section is within 160.4 MPa,which is lower than the material …