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Optimization Of Infill Concrete Dimension In Composite Girder Box Based On Igrnn, Wang Yafeng, Liu Jian, Ke Hongjun

Journal of China & Foreign Highway

The mechanical performance of the negative bending moment zone of steel-concrete composite continuous girders has always been a focus of attention in bridge engineering.Existing research mainly proposes improvement measures for the tension of concrete bridge decks,while paying little attention to the common phenomenon of steel girders bearing pressure.The steel girders in steel-concrete composite girders,especially the steel bottom plate in the negative bending moment area of the pier top,bear the highest compressive stress of the entire bridge.Therefore,by taking a steel-concrete composite girder bridge in Zhejiang Province as the engineering background,it is proposed to partially fill the interior of the box girder …

Experimental Study On Bending And Shear Performance Of Joint With Looped Reinforcement In Prefabricated Components, Liu Zhiquan, Hu Ke, Shi Xuefei, Zhong Yuzhuo

Journal of China & Foreign Highway

A joint with looped reinforcement is a type of steel bar connection structure with wet joints characterized by quick construction.In order to study the bending and shear stress performance and load-bearing capacity characteristics of the wet joints,four bearing capacity tests for bending and shear were designed and conducted for common application scenarios.The load,strain,and displacement changes of the specimens during the test process were tested,and the failure characteristics,load–displacement changes,and ultimate bearing capacity of this type of wet joint were analyzed.The results show that the wet joint with looped reinforcement has good ductility and conforms to the design principles of reinforced concrete.The …

Bending Moment Calculation And Reinforcement Recommendations For Cast-In-Place Cover Slabs In Slab Culverts, Li Yukun, Wan Kecheng, Fu Fulin

Journal of China & Foreign Highway

To address the complexity and lack of practical methods for calculating bending moments of cast-in-place cover slabs in slab culverts,the slabs were simplified as one-way slabs with a pair of opposing edges simply supported and the other pair of edges free.Theoretical formulas for calculating the bending moments within the slabs under uniformly distributed loads were derived using elastic theory.The accuracy of the theoretical formulas was validated through case studies via finite element software.Various combinations of length,width,and fill heights exist in highway projects,making the use of theoretical formulas for bending moment calculations cumbersome.Therefore,a simplified method for calculating maximum bending moments in …

Research On Cable Force Optimization Of Long-Span Cable-Stayed Bridges Based On Rbfnn+Improved Parti Cle Swarm Optimization Algorithm, Deng Da, He Bowen, Liu Guokun

Journal of China & Foreign Highway

In view of the cable force optimization problem of long-span cable-stayed bridges,a cable force optimization method considering the reliability index of stay cables was proposed based on the response surface fitted by the radial basis function neural network (RBFNN ).The RBFNN-based response surface model for solving the reliability index was established by fitting the structural implicit function through RBFNN training.The improved particle swarm optimization algorithm was used to search for the optimal solution of the cable force optimization model considering the reliability index.The research results show that RBFNN can accurately predict the structural responses and fit the structural implicit performance …

Design Optimization And Experimental Study Of Cfrp Plate Anchorage With Clip-Extension Type, Qi Yijia, Xiao Dan, Wang Zhongqiang

Journal of China & Foreign Highway

Existing anchorage is prone to damaging the carbon-fiber reinforced polymer (CFRP ) plate due to the “notch effect ” and uneven distribution of clamping stress.This study proposed a new clip-extension type anchorage for the CFRP plate.This design utilized the ductility of steel for stress diffusion and guided the compressive stress zone in the CFRP plate away from the notched end,realizing a smooth transition of the clamping force of the CFRP plate at the clip port and effectively reducing the “notch effect ”.The design also reduced the strain difference between the carbon fibers,resulting in a more synchronized lateral deformation of the …

Research On Whole-Hole Testing Technology For Under-Anchor Tension In Prestressed Concrete Girders, Zhu Jianzhao, Dong Hao, Gu Jungang, Feng Lu, Li Shuyang, Zhang Shoulong, Chen Chaung

Journal of China & Foreign Highway

This study aims to propose a new testing method,namely whole-hole back-pull testing technology,to reduce costs and increase efficiency in under-anchor tension testing,effectively addressing the engineering challenges of large testing volume and tight schedules.Based on the principle of the traditional back-pull method,the mechanism of whole-hole back-pull testing technology was explained through theoretical analysis and formula derivation.Technical optimization was carried out in conjunction with experimental research,and a complete application method was proposed.A feasibility analysis was carried out.The study obtained the simplified mechanical model and typical test curves of the whole-hole back-pull testing technology and proposed a formula and application method for determining …

Research And Applicat Ion Of Ultra Large-Scale Consolidated Under-Reamed Drilled Shaft Technology Under Special Environmental And Geological Conditions, Ding Yi, Yu Kun, Shi Haiyang, Pei Xiaofeng, Zhu Bo

Journal of China & Foreign Highway

This article aims to add ress the poor economic efficiency of large-diameter and ultra-long piles,the high risk of hole collapse in thick sandy soil,and the limited space across the canal faced by the Bridge over Yellow River Diversion to Qindao Canal on Zhanhua ‒ Linyi Expressway.According to the comparison of conventional drilled cast-in-place piles with combined pile-end and pile-side post-grouting,the industry ’s under-reamed drilled shaft foundation with the largest disc diameter (4.5 m) and the largest single-pile volume (456 m3) was proposed and designed.At the same time,supporting devices such as three-arm rotary cutting drill bits and long arm borehole diameter …

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

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

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

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

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

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

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

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

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 …

3d Point Cloud Analysis With Classification, Segmentation And Few-Shot Learning, Jiajing Chen

Dissertations - ALL

Deep learning for 3D point cloud analysis has made significant progress, yet several critical challenges, including the following, remain underexplored: (1) traditional max-pooling operations discard a substantial portion of learned features, resulting in information loss and inefficient use of computational resources; (2) existing few-shot point cloud classification models lack robustness when faced with occlusion, missing points, and limited training data; (3) semantic segmentation methods often fail to fully exploit background–foreground interactions, leading to reduced accuracy. Moreover, in domains such as gait recognition and visual program synthesis, research has been largely dominated by 2D-based approaches, leaving the potential of point cloud …

Robust Security Assurance In Cyber-Physical Systems: From Attack Diagnosis To Attack Resilience, Zifan Wang

Dissertations - ALL

Cyber-Physical Systems (CPS) have become integral to critical infrastructure, from autonomous vehicles to industrial control systems. However, their increased connectivity and sophistication introduce new vulnerabilities, making security a paramount concern. This dissertation presents a comprehensive pipeline for enhancing CPS security, focusing on accurate diagnosis of trustworthy time frames and subsystems, followed by system resilience measures to restore safe states. The foundation of system resilience lies in an advanced checkpointing protocol for real-time multi-process systems. A novel three-step approach uniquely addresses both logical and timing correctness, which are crucial for modern CPS applications. By partitioning processes into directed acyclic graphs, implementing …

Model Inference And Sparse Network Analysis: Machine Learning In The Gene Regulatory Network Framework, Youchuan Wang

Dissertations - ALL

This thesis explores sparse network inference from high-dimensional, noisy, and underdetermined data—a fundamental challenge in many scientific domains. We focus on the development of evolutionary computation methods for discovering underlying network structures that are both interpretable and biologically plausible. Our methods are applied to the domain of Gene Regulatory Network (GRN) inference, where sparsity, indirect interactions, and limited observations pose significant hurdles. The framework models both steady-state and time-series gene expression data, with particular emphasis on biological sparsity and regulatory dynamics. We approach the problem from three perspectives: (1) edge-level analysis using transitive reduction to distinguish direct from indirect regulation; …

Microtubule Self-Organization With Active And Passive Crosslinkers, Prashali Chauhan

Dissertations - ALL

Humans have always been trying to unravel principles that guide how things around us function, all the way from galactic ovements to basic building blocks of matter. The physical and chemical properties of ‘biological’ systems govern processes all the way from molecular interactions of proteins to the form and function of individual living organisms. In this work, I focus on the proteins which help give shape and structure to the smallest building block of life, the cell and associated mechanisms of building fundamental cellular architectures, like the mitotic spindle. Mitosis takes place by microtubules aligning themselves in anti-parallel fashion with …

Developing Best Practice Fabrication For Niobium Superconducting Devices, Jadrien Timothy-Henke Paustian

Dissertations - ALL

Superconducting qubits are a leading platform for scalable quantum computation. This platform offers high gate speeds and can make use of readily scalable complementary metal-oxide semiconductor (CMOS) fabrication techniques. However, superconducting qubits are susceptible to a variety of losses that arise in systems with superconductors, such as due to ubiquitous two-level systems, quasiparticles, and more. Designing fabrication processes to mitigate and manage these loss sources is critical to achieving scalable quantum computation. However, many of these loss sources are set during fabrication processing, of which there can be many different steps, each with its own parameter space. Exploring this space …

Balancing Robustness And Practicality In Model Compression, Personalization, And Healthcare Interventions, Sawinder Kaur

Dissertations - ALL

Advances in machine learning have enabled significant progress in generating robust solutions. However, designing solutions that balance robustness while meeting the practical constraints of diverse applications, such as limited resources and data, remains a challenge. We explored three key aspects of this interplay: verified robust compressed neural networks, context-wise robust personalization, and reliable counterfactual interventions for healthcare. First, we introduce VeriCompress, a novel framework to streamline the synthesis of compressed neural networks with formal guarantees of adversarial robustness. This enables the deployment of reliable and efficient models in resource-constrained environments, such as smartphones. Second, we developed CRoP (Context-wise Robust Static …

On Detecting Change-Points Of A Segmented Logistic Regression Model, Jingwen Li

Dissertations - ALL

This dissertation investigates the problem of change-point detection in segmented logistic regression models, where the total number of change-points is unknown. We consider both unconstrained models, which allow discontinuities at change-points, and constrained models, which impose continuity across change-points. The central challenge is to determine the number of change-points and to accurately estimate their locations, while ensuring valid statistical inference for the associated regression coefficients. We begin by introducing a set of regularity assumptions that underlie the theoretical analysis throughout this work. For a given number of change-points, we present algorithms to estimate their locations and obtain the maximum likelihood …

Mapping Research Trends On Mental Health Literacy Among University Students: A Bibliometric Systematic Review, Eko Pramudya Laksana, Muslihati Muslihati, Arbin Janu Setiyowati, Salsabila Kholifahtun Nisa, Muhammad Nur Hudha, Margaret Kehinde Soetan

Jurnal Kajian Bimbingan dan Konseling

Mental health is a global issue that has received increasing attention, particularly among university students. Mental health literacy (MHL) is an important factor in promoting students' psychological well-being through knowledge, attitudes, and the ability to recognize and address mental health problems. This study aims to map the developmental trends of MHL research among university students in order to provide a comprehensive overview of the direction and focus of studies in this field. This research employed a bibliometric literature review approach by analyzing 48 journal articles indexed in the Scopus database and published between 2021 and 2025. The findings indicate that …

Evaluating The Impact Of A Community-Based Prostate Cancer Screening Program, Amy Leader, Kristine Pham, Nicola Cianci, Hannah Knapp, Fatuma Doka, Suzanne Barron, Oleksandr Kolesnikov, Jordan Dehoratius, Katie Bradley, Le'ann Robles, Robert Giamboy, Olivia Dahlgren, Leonard G. Gomella

Kimmel Cancer Center Faculty Papers

BACKGROUND: One out of eight men in the U.S. will be diagnosed with prostate cancer during his lifetime. Black men are more likely to be diagnosed with and die from prostate cancer than other males, contributing to significant prostate cancer disparities. Early detection, often by routine screening, allows for more options for treatment and an increased chance of survival. Barriers to screening contribute to prostate cancer disparities, particularly among those who lack regular access to health care. Community based screening programs may overcome barriers to prostate cancer screening.

METHODS: An urban, NCI-designated cancer center collaborated with a national prostate cancer …

Comparing The Antibacterial Efficiency Of Chitosan And Dextran As Nanocomposites Against Escherichia Coli, Saja Sachit, Alaa Al-Taie

Baghdad Science Journal

Nanoparticles (NPs) are widely used in many different fields and applications. In this study, Silver (Ag) NPs and Titanium dioxide (TiO₂) NPs were generated using the laser ablation method by using Q-switched Nd: YAG laser. In addition, Chitosan (CS) and Dextran nanopolymers were chosen to prepare the nanocomposites by combining the two types of nanopolymers with the generated NPs in different ratios to obtain the samples: CS and Dextran as a control, CS-Ag, CS-TiO₂, CS Ag-TiO₂, Dextran-Ag, Dextran-TiO₂, and Dextran Ag-TiO₂. Several tests were carried out on these nanocomposites such …

Adaptive Generation In Evolutionary Robotics: From Adversarial Objects To Guided Optimization, Unknown Akshay

Dissertations - ALL

Evolution-inspired algorithms have proven effective for complex optimization problems butsuffer from computational inefficiency due to their reliance on random variation operators. This is problematic in domains where fitness evaluation depends on expensive procedures such as training a neural network or running a robot, either in simulation or on hardware. This dissertation presents novel approaches for evolutionary robotics that replace stochastic evolutionary operations with learned, adaptive strategies using reinforcement learning (RL), significantly improving search efficiency while maintaining population diversity.The first contribution is a voxel-based evolutionary framework for generating adversarial objects that challenge robotic grasping systems. By evolving objects with controlled similarity …

Computationally Efficient Methods For Calculation Of Light-Matter Interaction In Large Semiconductor Quantum Dots, Chandler Martin

Dissertations - ALL

Quantum dots are a class of materials in the nanometer scale that have unique optical and electronic properties due to the quantum confinement effect. Traditional electronic structure computational techniques used for calculating these properties fall to scalability issues as the size of the quantum dot increases, or introduce significant errors into the final result. This makes using computational methods to predict new materials, or verify properties of existing materials, challenging to use for experimental applications of quantum dots. This gap between experiment and computation is due to large basis sets, expensive integrals, and storage and manipulation of tensors that grow …

Twas-Ctl: A Robust And Efficient Method For Multi-Tissue Transcriptome-Wide Association Studies Using Cross-Tissue Learners, Md Mutasim Billah, Hairong Wei, Fengzhu Sun, Kui Zhang

Michigan Tech Publications

The advent of transcriptome-wide association studies (TWAS) has expanded the classical genome-wide association study (GWAS) framework by integrating gene expression with genetic variation to identify trait-associated variants. While multi-tissue TWAS approaches improve statistical power over single-tissue models, existing methods often lose information during result aggregation and require intensive computation. Here, we present TWAS-CTL (Cross-Tissue Learner), a novel framework that leverages heterogeneous gene expression across tissues by adaptively reweighting and optimizing multiple single-tissue learners. Simulations demonstrate that TWAS-CTL achieves higher statistical power than the leading method, UTMOST, while maintaining proper type I error control and reducing computational time by over half. …

Performance Of Digital Economic Indicators During The Covid-19 Pandemic: Payment System Case Of Indonesia, Darjana Darjana, Yanti Rusmawati

Bulletin of Monetary Economics and Banking

We explore the performance of digital payment system instruments during both the pre-COVID-19 period and during the pandemic. We focus on four main digital economic indicators in Indonesia; namely, electronic money, Automated Teller Machine (ATM), digital banking, and Real Time Gross Settlement (RTGS) transactions. Using monthly data covering the period 2013:01 to 2023:04 obtained from Bank Indonesia, we employ the Difference-in-Differences method to assess the impact of the pandemic on digital economic indicators. The results show that during the pandemic, generally, the transaction value of electronic money, digital banking and RTGS are continuously upward trending, while the number of electronic …