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Analysis Of Influence Of Internal Erosion On Deformation Of Subway Station Structure, QIN Tianxin, WANG Chen, TAN Xuyan, WEI Shengming, LIANG Fayun 2025 College of Civil Engineering, Tongji University, Shanghai 200092, China

Analysis Of Influence Of Internal Erosion On Deformation Of Subway Station Structure, Qin Tianxin, Wang Chen, Tan Xuyan, Wei Shengming, Liang Fayun

Journal of China & Foreign Highway

Under the long-term effects of disasters such as rainstorms and floods,the soil layer around subway stations may be affected by internal erosion,threatening the structural safety of urban subway stations.To explore the influence of internal erosion on subway station structures,this study conducted isotropic consolidation and triaxial compression tests on gap-graded sand soil.Eroded soil specimens were simulated by adjusting the fine particle content to explore the pattern of variations in physical and mechanical properties caused by internal erosion.Results indicate that internal erosion alters the stress-strain relationship of gap-graded sand soil,increasing compressibility,decreasing shear strength,and weakening dilatancy.Drucker-Prager (DP) cap model parameters for eroded sand …


A Method For Determining Integrity Degree Of Tunnel Surrounding Rock Based On Mobilenet, LIU Houxiang, YANG Caixia 2025 School of Civil and Environmental Engineering ,Changsha University of Science & Technology, Changsha, Hunan 410114, China

A Method For Determining Integrity Degree Of Tunnel Surrounding Rock Based On Mobilenet, Liu Houxiang, Yang Caixia

Journal of China & Foreign Highway

To determine the integrity degree of tunnel surrounding rock more efficiently,a precise determination method for the integrity degree of tunnel surrounding rock based on the lightweight neural network MobileNet-v 2 was proposed.Firstly,the image was grayscaled and denoised,and the edges of cracks were detected.Then,the lightweight neural network MobileNet-v 2 model was pre-trained on the ImageNet dataset,and combined with transfer learning to complete data detection on the training,validation,and testing sets.Finally,a comparative experiment was conducted with traditional neural networks RestNet- 50 and VGG 16.By identifying the area,width,and length of cracks,the crack ratio Ks was introduced as an indicator to evaluate the integrity of …


Settlement Mechanism And Re Inforcement Measure For Large-Diameter And Small-Clearance Parallel P Ipe Jacking Undercrossing Complex Building, TANG Gang, HUANG Wen jie, ZHANG Wenbo, LI Wenjie, LIANG Bin 2025 CCCC-SHB Forth Engineering Co ., Ltd., Luoyang, Henan 471013, China; School of Civil Engineering and Architecture, Henan University of Scien ce and Technology, Luoyang, Henan 471000, China

Settlement Mechanism And Re Inforcement Measure For Large-Diameter And Small-Clearance Parallel P Ipe Jacking Undercrossing Complex Building, Tang Gang, Huang Wen Jie, Zhang Wenbo, Li Wenjie, Liang Bin

Journal of China & Foreign Highway

This study aims to study the settlem ent changes and distribution of various parts of a complex building during the construction of a large-diameter and small-clearance parallel pipe jacking undercrossing complex building.On the basis of the pipe jacking project of water quality guarantee engineering 2# for Tiegang –Shiyan Reservoir in Shenzhen,the settlement mechanism of pipe jacking undercrossing construction was analyzed.Through numerical simulation,the influence of the presence or absence of grouting reinforcement,and parameters such as longitudinal spacing and burial depth of pipe jacking on the variation trend and distribution law of building settlement was analyzed.The theoretically predicted values,numerical simulation values,and on-site …


Quantitative Evaluation Of Tunnel Rock Mass Integrity Based On Mwd Technology, ZHANG Kunmu, PENG Hao, LIANG Ming, HAN Yu, SONG Guanxian 2025 Guangxi Road and Bridge Engineering Group Co ., Ltd., Nanning, Guangxi 530200 ,China

Quantitative Evaluation Of Tunnel Rock Mass Integrity Based On Mwd Technology, Zhang Kunmu, Peng Hao, Liang Ming, Han Yu, Song Guanxian

Journal of China & Foreign Highway

In tunnel construction,the quantitative evaluation of rock mass integrity heavily relies on information from the exposed face,and there are challenges when drilling data is used for integrity evaluation.To this end,this study introduced a novel method for quantitative evaluation of rock mass integrity during drilling,integrating numerical statistics with machine learning.A substantial dataset of digital drilling data was collected,covering three common types of rock mass integrity:relatively intact,relatively fractured,and fractured.Subsequently,a high-performance random forest model for the classification of rock mass integrity was developed through data preprocessing and hyperparameter optimization.The interpretability of the model ’s predictive results was enhanced using Shapley additive explanations (SHAP …


Evaluation Method For Nighttime Visual Space Improvement On Mountain Roads, ZHAO Yan, CHEN Yanli, CHEN Jiale 2025 Xi’an Highway Research Institute Co ., Ltd., Xi’an, Shaanxi 710065, China; Shaanxi Transportation Holding Green Science and Environmental Protection Co ., Ltd., Xi’an, Shaanxi 710100, China

Evaluation Method For Nighttime Visual Space Improvement On Mountain Roads, Zhao Yan, Chen Yanli, Chen Jiale

Journal of China & Foreign Highway

To address issues such as poor visual guidance,narrow field of view,and short sight distance during nighttime driving on mountain roads,this study proposed a visual space enhancement evaluation method applicable to mountainous roads at night.By integrating active and passive traffic safety facilities,a visual space enhancement strategy adapted to the nighttime environment of mountain roads was proposed.A multidimensional evaluation indicator for visual space was established based on co-simulation.The effectiveness of the strategy was verified from the perspectives of visual space expansion and driving safety improvement by taking a trunk highway in the Qinling mountainous region as a case study.The results show that …


Object Detection And Tracking Based On Fusion Of Radar And Camera On Highway Side, ZENG Yongqiang, ZHANG Yonghua, ZHAO Hui, LIU Xin, XU Mingsheng, SHEN Jianwei, HU Zhiwei, CHEN Zhenquan 2025 Putian Management Branch, Fujian Expressway Group Co ., Ltd., Putian, Fujian 351100, China

Object Detection And Tracking Based On Fusion Of Radar And Camera On Highway Side, Zeng Yongqiang, Zhang Yonghua, Zhao Hui, Liu Xin, Xu Mingsheng, Shen Jianwei, Hu Zhiwei, Chen Zhenquan

Journal of China & Foreign Highway

Camera is the most widely used sensor in intelligent transportation systems (ITS),but the decline of detection and positioning accuracy caused by target occlusion and external environment interference has always been an important factor restricting the development of ITS.In order to solve this problem,a multi-mode fusion target detection and tracking method based on millimeter-wave radar (MWR ) and camera on highway side was designed.Compared with cameras,high-resolution MWR had better measurement accuracy and weather robustness,serving as a better complement to camera perception.The proposed method used the center point-based radar and camera fusion algorithm for target detection and adopted the greedy algorithm for …


Construction And Application Of Knowledge Graph For Quality Management In Bridge Pile Engineering, FANG Xiaofeng, DONG Runhao, GU Yanke, PAN Yanran 2025 Guangdong Transportation Industry Investment Co ., Ltd., Guangzhou, Guangdong 510030, China

Construction And Application Of Knowledge Graph For Quality Management In Bridge Pile Engineering, Fang Xiaofeng, Dong Runhao, Gu Yanke, Pan Yanran

Journal of China & Foreign Highway

To enhance the efficiency of quality management in bridge pile foundation construction,this study constructed a knowledge graph applicable to the construction field of bridge pile foundation engineering to enable systematic representation and intelligent organization of knowledge.A methodology combining top-down design and bottom-up design was adopted to develop a framework for constructing a knowledge graph for the quality management of bridge pile foundation construction that encompasses both the schema layer and the data layer.The schema layer was established through ontology modeling,clarifying the concept categories,hierarchical structure,and their attribute relationships.The data layer employed a bidirectional long short-term memory (BiLSTM ) network integrated with …


Bending Capacity And Strengthening Design With Bonding Steel Plates Of Concrete Sections In French Standards, WU Zi 2025 Research and Development Center on International Engineering Standards, CCCC, Wuhan, Hubei 430056, China; CCCC Second Highway Consultant Co ., Ltd., Wuhan, Hubei 430056, China

Bending Capacity And Strengthening Design With Bonding Steel Plates Of Concrete Sections In French Standards, Wu Zi

Journal of China & Foreign Highway

In the French general technical clauses widely used in Francophone African countries,only the calculation principles for the bending capacity of normal concrete sections are provided,with explicit formulas not listed,and the strengthening design of structures is not involved.According to the fundamental principles of concrete structures and French standard regulations,the calculation formulas for the bending capacity of normal concrete sections were derived.On the basis of the assumptions of strengthening design,calculation formulas for strengthening with bonding steel plates were derived.Through practical engineering calculations conducted on the VDN Expressway project in Senegal,the applicability and reliability of the proposed formulas were verified.This study can offer …


Bridge Damage Detection And Bim Localization Methods Based On Image Recognition, LI Yu, GUO Hongjun 2025 Central Southern Safety and Environment Technology Institute Co ., Ltd., Wuhan, Hubei 430071, China

Bridge Damage Detection And Bim Localization Methods Based On Image Recognition, Li Yu, Guo Hongjun

Journal of China & Foreign Highway

To overcome insufficient information of 2D detection data in traditional bridge maintenance,which hinders precise decision-making,this study proposed an automated method based on deep learning and structure from motion (SfM ) technology,which realized the complete process from image recognition to the accurate mapping of damage information in a building information model (BIM ).First,the YOLOv 8 deep learning model was used to automatically detect bridge surface damage.Second,the SfM technology was applied for the local 3D reconstruction of the damage area and to determine the 3D coordinates of the damage.Then,the least squares method was used to align the local coordinate system with the …


Testing For Dice Control At Craps, Stewart N. Ethier 2025 University of Utah

Testing For Dice Control At Craps, Stewart N. Ethier

UNLV Gaming Research & Review Journal

Dice control involves “setting” the dice and then throwing them carefully, in the hope of influencing the outcomes and gaining an advantage at craps. How does one test for this ability? To specify the alternative hypothesis, we need a statistical model of dice control. Two have been suggested in the gambling literature, namely the Smith–Scott model and the Wong–Shackleford model. Both models are parameterized by θ ∈ [0, 1], which measures the shooter’s level of control. We propose and compare four test statistics: (a) the sample proportion of 7s; (b) the sample proportion of pass-line wins; (c) the sample mean …


A Temporal Extension Of Tasselnet With Uncertainty Quantification Using Bayesian Latent Autoregressive Model, Gayara Demini Fernando Muthunama Gonnage 2025 University of Nebraska-Lincoln

A Temporal Extension Of Tasselnet With Uncertainty Quantification Using Bayesian Latent Autoregressive Model, Gayara Demini Fernando Muthunama Gonnage

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Manual counting of maize tassels remains a time-consuming and labor-intensive process. Automating tassel counting using maize field images has received significant interest, with researchers exploring methods to streamline this task. Accurate tassel detection can substantially reduce both time and labor costs, offering a practical solution for large-scale agricultural management. Current studies in this area predominantly focus on training object detection algorithms to enhance prediction accuracy and efficiency. Images for this task are often captured in sequences, meaning they capture the exact location of the maize fields over time. However, existing tassel detection and counting methods typically ignore this sequential nature, …


Changepoint Detection As Model Selection: A General Framework, Michael A. Grantham 2025 University of Nebraska-Lincoln

Changepoint Detection As Model Selection: A General Framework, Michael A. Grantham

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation presents a general framework for changepoint detection based on ℓ0 model selection. The core method, Iteratively Reweighted Fused Lasso (IRFL), improves upon the generalized lasso by adaptively reweighting penalties to enhance support recovery and minimize criteria such as the Bayesian Information Criterion (BIC). The approach allows for flexible modeling of seasonal patterns, linear and quadratic trends, and autoregressive dependence in the presence of changepoints.

Simulation studies demonstrate that IRFL achieves accurate changepoint detection across a wide range of challenging scenarios, including those involving nuisance factors such as trends, seasonal patterns, and serially correlated errors. The framework is …


Flexible Spatial Priors In Bayesian Neuroimaging: Gmrf, Nngp, And Deep Gmrf, Boyoung Hur 2025 Clemson University

Flexible Spatial Priors In Bayesian Neuroimaging: Gmrf, Nngp, And Deep Gmrf, Boyoung Hur

All Dissertations

Structural neuroimaging is essential for understanding neurological disorders such as Alzheimer’s disease, enabling accurate delineation of brain regions through image segmentation. Among various segmentation methods, multi-atlas-based approaches like label fusion have become leading techniques. In statistics, Bayesian hierarchical models for label fusion are increasingly favored for their ability to incorporate uncertainty and prior knowledge. Also, a key challenge in modeling neuroimaging data is spatial dependence among image voxels, making the choice of spatial prior critical—particularly in high-resolution settings where segmentation accuracy and computational efficiency are both essential.

This dissertation proposes fully Bayesian spatial hierarchical models that explore two flex- ible …


[Kyda] Biologically Grounded Surrogate-Driven Parameter Inference For Sparsely Observed Dynamical Systems, Joshua C. Macdonald 2025 Johns Hopkins University

[Kyda] Biologically Grounded Surrogate-Driven Parameter Inference For Sparsely Observed Dynamical Systems, Joshua C. Macdonald

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Spatiotemporal Modeling Of Maternal Mortality In South Carolina 2018-2023, Leah Wood, Ray Bai, Emily Mann 2025 University of South Carolina - Columbia

Spatiotemporal Modeling Of Maternal Mortality In South Carolina 2018-2023, Leah Wood, Ray Bai, Emily Mann

Senior Theses

Maternal death serves as a public health indicator due to fact that it is considered preventable with the availability of modern biomedicine, however, it persists broadly throughout the United States. Current literature outlines national trends in maternal mortality with complicating, preexisting conditions, and structural upstream factors often cited as being the largest contributors to increased risk. This study utilizes publicly available, county-level data for maternal death in addition to demographic and descriptive data in order to estimate maternal mortality rates in each of South Carolina’s 46 counties from 2018 to 2023. In order to address sparsity in the outcome variable …


Comparative Evaluation Of Estimation Techniques For Purchasing Power Parity In African Countries Using The Country-Product-Dummy Regression Framework, Rokibat Adeola Tijani, Taiwo Abideen Lasisi, Dahud Kehinde Shangodoyin, Olasunkanmi James Oladapo 2025 Department of Statistics, Faculty of Pure and Applied Science, Ladoke Akintola University of Technology, Ogbomoso Oyo State, Nigeria.

Comparative Evaluation Of Estimation Techniques For Purchasing Power Parity In African Countries Using The Country-Product-Dummy Regression Framework, Rokibat Adeola Tijani, Taiwo Abideen Lasisi, Dahud Kehinde Shangodoyin, Olasunkanmi James Oladapo

Al-Bahir

Purchasing Power Parity (PPP) is a popular macroeconomic analysis metric used to compare economic productivity and standards of living between countries. This study examines the estimation of PPP within the International Comparison Program (ICP) at Basic Heading (BH) level stage and leverages on the data from the 2011 ICP round. Focusing on five BHs out of 12 BHs across 50 Africa countries, to empirically evaluate the validity of the classical Ordinary Least Square (OLS) assumptions in the estimation of Country Product Dummy (CPD) regressions. Given the widespread use of OLS for BH level PPP computation, a rigorous examination of these …


Comparing Ordinary Least Squares And Quantile Regression: A Causal-Comparative Approach To Modeling Conditional Relationships, Samuel Nnorom 2025 University of Denver

Comparing Ordinary Least Squares And Quantile Regression: A Causal-Comparative Approach To Modeling Conditional Relationships, Samuel Nnorom

Electronic Theses and Dissertations

Ordinary Least Squares (OLS) regression has traditionally been the preferred quantitative method for estimating linear relationships. However, it assumes that the effect of a predictor variable remains constant across the entire outcome distribution, which can miss important insights when data are heterogeneous. Quantile Regression (QR), on the other hand, offers a more detailed analysis by focusing on the full response variable distribution, thereby revealing different relationship patterns at various quantiles within the outcome. This study compares how OLS and QR perform in modeling conditional relationships within a causal-comparative framework based on ex post facto research. Using the mortality data from …


Settlement Calculation Method For Composite Foundations Reinforced With Geo-Encased Stone Columns, LONG Jun, TAN Jingpeng 2025 Hunan Yanhu Construction Engineering Co ., Ltd., Yueyang , Hunan 414002 , China

Settlement Calculation Method For Composite Foundations Reinforced With Geo-Encased Stone Columns, Long Jun, Tan Jingpeng

Journal of China & Foreign Highway

Geo-encased stone columns (GESCs ),known for their cost-effectiveness and simple construction,are widely employed in the reinforcement of soft soil foundations in practical engineering,and the analysis of their settlement serves as a crucial foundation for the design process.However,existing research mainly focuses on experimental and numerical methods,with relatively limited progress in theoretical calculations.Based on the load transfer mechanism of GESC-reinforced composite foundations and the bulging deformation of the pile body within a certain depth of the pile top under vertical loading,the reinforced zone was divided into a bulging section and a non-bulging section,and the total settlement of the pile was regarded as …


Study On Deformation Characteristics Induced By Deep Foundation Pit Excavation Sharing Diaphragm Wall With Existing Subway Station, LING Tonghua, ZOU Nanwei, ZHOU Kun, FENG Wei, WU Xing, ZHANG Liang 2025 School of Civil and Environmental Engineering , Changsha University of Science & Technology , Changsha , Hunan 410114 , China

Study On Deformation Characteristics Induced By Deep Foundation Pit Excavation Sharing Diaphragm Wall With Existing Subway Station, Ling Tonghua, Zou Nanwei, Zhou Kun, Feng Wei, Wu Xing, Zhang Liang

Journal of China & Foreign Highway

To investigate the deformation induced by deep foundation pit excavation sharing a diaphragm wall with an existing subway station,this study took the foundation pit project of Gongming Square Station of Shenzhen Metro as an example.A three-dimensional numerical model was established by FLAC3D software to analyze the deformation characteristics of the surrounding ground surface,retaining structures,and the subway station during the excavation process.In addition,field monitoring was conducted to measure the vertical and horizontal displacements of the pit sidewall and the subway station sharing the diaphragm wall.The results show that after excavation,the ground surface settlement behind the retaining wall exhibits an approximately elliptical …


Application Of Grouted Steel Pipe Micropile Composite Structure In Highway Landslide Treatment, WU Bing, LIANG Yao, LI Jie, ZHAO Honghu 2025 Sichuan Communication Surveying & Design Institute , Co., Ltd., Chengdu , Sichuan 610017 , China

Application Of Grouted Steel Pipe Micropile Composite Structure In Highway Landslide Treatment, Wu Bing, Liang Yao, Li Jie, Zhao Honghu

Journal of China & Foreign Highway

To optimize the calculation methods and application schemes for reinforcing landslides using grouted steel pipe micropile composite structures,the composition of single-pile composite structures and the combination forms of pile group structures were described.By taking the Bishop method as an example,a stability analysis method and the anti-sliding principle of side (sliding ) slopes reinforced with grouted steel pipe micropile composite structures were proposed,and a calculation formula for the allowable shear resistance of the composite pile was derived.By taking a landslide case from a section of Lijiang‒Panzhihua Expressway as an example,landslide stability analysis and landslide thrust calculation were carried out.The grouted steel …


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