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2024

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Articles 3241 - 3270 of 9242

Full-Text Articles in Engineering

Optimal Trajectory Of Full-Duplex Uav Relaying Over Hybrid Probability Channels, Tao Wang, Ji Xiaodong Jun 2024

Optimal Trajectory Of Full-Duplex Uav Relaying Over Hybrid Probability Channels, Tao Wang, Ji Xiaodong

Journal of System Simulation

Abstract: A fixed-wing UAV being the full-duplex moving relay, and a hybrid probability channel being the source to send data to the destination, through the flight optimal trajectory design. On the basis of ensuring the total data amount of source-destination communication, the energy consumption of the system is minimized. Two optimization problems of runway shape and mixed trajectory are established, which are non-convex and are difficult to get the closed-form solution. The hybrid probability channels gains are replaced by the average channel gains, and the lower bounds of the received data at the UAV and the destination are calculated by …

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Arterial Coordination Optimization Method Based On Vehicle Speed Guidance And Inductive Control, Mingjun Deng, Xinxia Hu, Xiang Li, Liping Xu Jun 2024

Arterial Coordination Optimization Method Based On Vehicle Speed Guidance And Inductive Control, Mingjun Deng, Xinxia Hu, Xiang Li, Liping Xu

Journal of System Simulation

Abstract: Arterial signal coordination is usually based on fixed belt speeds and time-of-day statistical flows. Actually, vehicle speeds and traffic flows are fluctuating, which causes to the mismatch between the signal scheme and the actual optimal belt speeds and traffic flow demands, and affects the intersection's traffic efficiency. Based on the vehicle infrastructure cooperation, by applying Maxband model and the maximum green wave bandwidth, the minimum number of arterial vehicle delays, arterial stops and the minor direction delays being the optimization objectives, a multi-objective optimization model for arterial signal coordination is established. Through using an improved multi-objective particle swarm algorithm …

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Curriculum Learning-Based Simulation Of Uav Air Combat Under Sparse Rewards, Jingyu Zhu, Hongli Zhang, Minchi Kuang, Heng Shi, Jihong Zhu, Zhi Qiao, Wenqing Zhou Jun 2024

Curriculum Learning-Based Simulation Of Uav Air Combat Under Sparse Rewards, Jingyu Zhu, Hongli Zhang, Minchi Kuang, Heng Shi, Jihong Zhu, Zhi Qiao, Wenqing Zhou

Journal of System Simulation

Abstract: To address the limited exploration capabilities and sparse rewards of conventional reinforcement learning methods in air combat environment, a curriculum learning distributed proximal policy optimization (CLDPPO) reinforcement learning algorithm is proposed. A reward function informed by professional empirical knowledge is integrated, a discrete action space is developed, and a global observation and local value and decision network featuring separated global and local observations is established. A methodology for unmanned aerial vehicles UAVs is presented to acquire combat expertise through a sequence of fundamental courses that progressively intensify in their offensive, defensive, and comprehensive content. The experimental results show that …

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Repair And Surface Functionalization Of Fiber Reinforced Polymer Composites By Cold Spray, Ibnaj Anamika Anni Jun 2024

Repair And Surface Functionalization Of Fiber Reinforced Polymer Composites By Cold Spray, Ibnaj Anamika Anni

Theses and Dissertations

Fiber-reinforced polymer composites are widely used in industries and applications such as energy, automotive, defense, and aerospace. This study investigates the application of polymer cold spray, an emerging additive manufacturing process, for coating and repair of fiber-reinforced polymer (FRP) composites. The research starts with feasibility studies focused on the cold spray deposition of thermoplastic nylon-6 particles on woven glass fiber-reinforced composites (GFRP). A parametric study determines critical process parameters window, ensuring successful deposition and bonding without compromising the macroscale mechanical behavior. These findings indicate that the cold spray process does not adversely affect the fiber integrity or surface quality of …

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Chemotherapy Drug Release From Hollow Core Polyethyleneimine Nanoparticles, Brian Boyle Jun 2024

Chemotherapy Drug Release From Hollow Core Polyethyleneimine Nanoparticles, Brian Boyle

Theses and Dissertations

Novel anticancer delivery vehicles are arising from engineered nanostructured materials. This work involved the synthesis, characterization, and release of novel hollow core polymeric nanoparticles (HCPNPs) for controlled drug delivery. Polyethyleneimine (PEI) was bound to AuNPs, forming polymer-shell nanoparticles with dissolution of the gold core via iodine forming HCPNPs with drug intercalated DNA bound to the surface. A high density (85 molecules/particle) of DNA intercalated with daunorubicin was conjugated. Particles were spherical with an average diameter of 105.7 ± 17.3 nm and zeta potential of 20.4 ± 3.54 mV. We hypothesize the DNA backbone electrostatically condensed to the primary amines on …

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Python Tooth–Inspired Fixation Device For Enhanced Rotator Cuff Repair, Iden Kurtaliaj, Ethan D. Hoppe, Yuxuan Huang, David Ju, Jacob A. Sandler, Donghwan Yoon, Lester J. Smith, Silvio Torres Betancur, Linda Effiong, Thomas Gardner, Liana Tedesco, Sohil Desai, Victor Birman, William N. Levine Jun 2024

Python Tooth–Inspired Fixation Device For Enhanced Rotator Cuff Repair, Iden Kurtaliaj, Ethan D. Hoppe, Yuxuan Huang, David Ju, Jacob A. Sandler, Donghwan Yoon, Lester J. Smith, Silvio Torres Betancur, Linda Effiong, Thomas Gardner, Liana Tedesco, Sohil Desai, Victor Birman, William N. Levine

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Rotator cuff repair surgeries fail frequently, with 20 to 94% of the 600,000 repairs performed annually in the United States resulting in retearing of the rotator cuff. The most common cause of failure is sutures tearing through tendons at grasping points. To address this issue, we drew inspiration from the specialized teeth of snakes of the Pythonoidea superfamily, which grasp soft tissues without tearing. To apply this nondamaging gripping approach to the surgical repair of tendon, we developed and optimized a python tooth–inspired device as an adjunct to current rotator cuff suture repair and found that it nearly doubled repair …

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Ultrasound Based Dynamic Reference Reflection Technique For Simultaneous Specific Gravity And Temperature Estimation, Jose Paul Jun 2024

Ultrasound Based Dynamic Reference Reflection Technique For Simultaneous Specific Gravity And Temperature Estimation, Jose Paul

USF Tampa Graduate Theses and Dissertations

This work is driven by the need for a noninvasive density estimation device for pipeline infrastructure due to the increased risk of volatility in the high energy density fuels that are available in the market. Ultrasound based techniques have proved to be a viable alternative to traditional u tube resonance or nuclear techniques due to their robustness and safety offering. The major update that this work intends to make to the existing technology is development of a system wherein the transducer or the electronic components remain isolated from the flow field.As a result, this work dives headfirst into the fundamentals …

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Assessing The Social, Economic, And Environmental Impacts Of A Multifunctional Crop: The Case Of Moringa Oleifera, Yoel Gebrai Jun 2024

Assessing The Social, Economic, And Environmental Impacts Of A Multifunctional Crop: The Case Of Moringa Oleifera, Yoel Gebrai

USF Tampa Graduate Theses and Dissertations

Multifunctional crops have the potential to support societal goals toward more sustainable production of food, feed, and fuel. The production and processing of multifunctional crops, with their numerous uses and coproducts, is accompanied by social, economic, and environmental impacts that need to be systematically evaluated to avoid unintended consequences from widespread adoption. Complexity emerges in the presence of multifunctionality, and counterintuitive system responses can occur. As a result, this dissertation has sought to enhance and apply frameworks to assess multifunctional crop sustainability holistically. Systems thinking and life cycle approaches are applied to a multifunctional crop case study, Moringa oleifera (MO). …

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Hybrid Flow Shop Scheduling With Limited Buffers Considering Energy Consumption And Transportation, Tingxin Wen, Tingyu Guan Jun 2024

Hybrid Flow Shop Scheduling With Limited Buffers Considering Energy Consumption And Transportation, Tingxin Wen, Tingyu Guan

Journal of System Simulation

Abstract: Aiming at the untimely production scheduling and excessive energy consumption during processing, a limited buffer hybrid flow shop scheduling optimization model is constructed. To minimize the makespan and total energy consumption of the workshop, the transport time, generalized energy consumption and buffer capacity being the constraints, and the on/off energy saving strategy applied to reduce the standby energy consumption, the feasibility of the optimization model are verified. A lion swarm optimization algorithm is designed, in which a population initialization method combining random generation and greedy selection is used to improve the initial solution quality and solution efficiency, the lion …

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Development And Application Of Simulation Platform For Aquatic Movement Of An Amphibious Armored Vehicle, Mingzhe Chen, Yunzheng Song, Pei Wang, Lei Zhang Jun 2024

Development And Application Of Simulation Platform For Aquatic Movement Of An Amphibious Armored Vehicle, Mingzhe Chen, Yunzheng Song, Pei Wang, Lei Zhang

Journal of System Simulation

Abstract: In order to design and verify the fire control system(FCS) algorithm of amphibious assault vehicle under heavy wind and wave conditions, a real-time simulation platform is developed. The traditional single rigid body dynamic model can't describe the body-turret-barrel dynamic coupling relationship and it is not suitable for FCS simulation with high dynamic characteristics. Twist-wrench method is used to establish the multiple rigid body dynamic model of vehicle, the buoyancy and the hydrodynamic calculation is carried out according to the body and the moving relationship between visual generated waves, and the hydrodynamic coefficient is obtained by the computational fluid dynamic …

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Tuning Polymer Glass Formation Behavior And Understanding Time-Temperature Superposition Breakdown With Oligomeric Additives, Peijing Yue Jun 2024

Tuning Polymer Glass Formation Behavior And Understanding Time-Temperature Superposition Breakdown With Oligomeric Additives, Peijing Yue

USF Tampa Graduate Theses and Dissertations

The glass transition of polymer melts has been investigated for over a century. Even so, there are still many unanswered questions about the underlying physics. Countless theories were proposed to explain and define glass transition temperatures. More specifically, both the origins of the glass transition and underlying classification of glass as a state of matter remain unresolved. Time-temperature superposition (TTS) is one of the most widely used techniques to characterize the viscoelastic behavior of a material and the mechanical behavior and is employed to reduce the measuring time during characterization. Despite the widespread use of TTS, many authors have reported …

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Application Of Driving Simulation Technology In Calibration Of Traffic Simulation Parameters, Shikun Liu, Yi Tang, Yonghong Liu Jun 2024

Application Of Driving Simulation Technology In Calibration Of Traffic Simulation Parameters, Shikun Liu, Yi Tang, Yonghong Liu

Journal of System Simulation

Abstract: To address the insufficient accuracy in traffic simulation modeling due to the lack of in-depth consideration of complex driving behaviors, a calibration method for traffic simulation parameters based on driving simulation technology is proposed. The reconstruction and expansion project of Shenzhen Bao'an International Airport Expressway is selected as the case. Using VISSIM simulation software, a comprehensive traffic simulation model of the entire route is constructed, and UC-winRoad software is employed to create the highly realistic driving simulation scenarios. Driving simulation experiments are conducted to extract the typical driving behavior characteristics in complex scenarios. Calibration functions for simulation parameters are …

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Surface Structures And Properties Of High-Voltage Licoo2: Reviews And Prospects, Jian-Jun Fang, Yu-Hao Du, Zi-Jian Li, Wen-Guang Fan, Heng-Yu Ren, Hao-Cong Yi, Qing-He Zhao, Feng Pan Jun 2024

Surface Structures And Properties Of High-Voltage Licoo2: Reviews And Prospects, Jian-Jun Fang, Yu-Hao Du, Zi-Jian Li, Wen-Guang Fan, Heng-Yu Ren, Hao-Cong Yi, Qing-He Zhao, Feng Pan

Journal of Electrochemistry

Nowadays, the development of high-voltage LiCoO2 (lithium cobalt oxide, LCO) cathodes has attracted the widespread attention from both the academic and industry fields. Among the multiple concerns, researches on the surface issues would provide the most effective performance optimization pathway for the synthesis of high-voltage LCO. In this work, the issues of high-voltage LCO, including the phase transitions and crack formation, the oxygen redox related issues and side reactions, as well as the surface structure degradation, have been systematically reviewed. Then, we further clarify the surface modulations, and the interplay between the surface modulation and electrolyte tuning. Finally, we …

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Unraveling The Versatility And Impact Of Multi-Objective Optimization: Algorithms, Applications, And Trends For Solving Complex Real-World Problems, Noor A. Rashed, Yossra H. Ali, Tarik A. Rashid, A. Salih Jun 2024

Unraveling The Versatility And Impact Of Multi-Objective Optimization: Algorithms, Applications, And Trends For Solving Complex Real-World Problems, Noor A. Rashed, Yossra H. Ali, Tarik A. Rashid, A. Salih

Journal of Soft Computing and Computer Applications

Multi-Objective Optimization (MOO) techniques have become increasingly popular in recent years due to their potential for solving real-world problems in various fields, such as logistics, finance, environmental management, and engineering. These techniques offer comprehensive solutions that traditional single-objective approaches fail to provide. Due to the many innovative algorithms, it has been challenging for researchers to choose the optimal algorithms for solving their problems. This paper examines recently developed MOO-based algorithms. MOO is introduced along with Pareto optimality and trade-off analysis. In real-world case studies, MOO algorithms address complicated decision-making challenges. This paper examines algorithmic methods, applications, trends, and issues in …

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Optimization Of Resources Allocation Using Evolutionary Deep Learning, Sanaa Ali Jabber, Soukaena H. Hashem, Shatha H. Jafer Jun 2024

Optimization Of Resources Allocation Using Evolutionary Deep Learning, Sanaa Ali Jabber, Soukaena H. Hashem, Shatha H. Jafer

Journal of Soft Computing and Computer Applications

The Bidirectional Long Short-Term Memory (Bi-LSTM) network structure enables data analysis, enhances decision-making processes, and optimizes resource allocation in cloud computing systems. However, achieving peak network performance relies heavily on choosing the hyperparameters for configuring the network. Enhancing resource allocation improves the Service Level Agreement (SLA) by ensuring efficient utilization and allocation of computational resources based on dynamic workload demands. This paper proposes an approach that integrates a Multi-Objective Evolutionary Algorithm (MOEA) with deep learning techniques to address this challenge. This approach combines the optimization capabilities of MOEA with the learning predictive models to establish a framework for resource allocation …

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Face Mask Detection Based On Deep Learning: A Review, Shahad Fadhil Abbas, Shaimaa Hameed Shaker, Firas. A. Abdullatif Jun 2024

Face Mask Detection Based On Deep Learning: A Review, Shahad Fadhil Abbas, Shaimaa Hameed Shaker, Firas. A. Abdullatif

Journal of Soft Computing and Computer Applications

The coronavirus disease 2019 outbreak caused widespread disruption. The World Health Organization has recommended wearing face masks, along with other public health measures, such as social distancing, following medical guidelines, and thermal scanning, to reduce transmission, reduce the burden on healthcare systems, and protect population groups. However, wearing a mask, which acts as a barrier or shield to reduce transmission of infection from infected individuals, hides most facial features, such as the nose, mouth, and chin, on which face detection systems depend, which leads to the weakness of these systems. This paper aims to provide essential insights for researchers and …

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Strangeness Detection From Crowded Video Scenes By Hand-Crafted And Deep Learning Features, Ali A. Hussan, Shaimaa H. Shaker, Akbas Ezaldeen Ali Jun 2024

Strangeness Detection From Crowded Video Scenes By Hand-Crafted And Deep Learning Features, Ali A. Hussan, Shaimaa H. Shaker, Akbas Ezaldeen Ali

Journal of Soft Computing and Computer Applications

Video anomaly detection is one of the trickiest issues in intelligent video surveillance because of the complexity of real data and the hazy definition of anomalies. Since abnormal occurrences typically seem different from normal events and move differently. The global optical flow was determined with the maximum accuracy and speed using the Farneback approach for calculating the magnitudes. Two approaches have been used in this study to detect strangeness in the video. These approaches are Deep Learning (DL) and manuality. The first method uses the activity map's development of entropy to detect the oddity in the video using a particular …

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A Comprehensive Analysis Of Deep Learning And Swarm Intelligence Techniques To Enhance Vehicular Ad-Hoc Network Performance, Hussein K. Abdul Atheem, Israa T. Ali, Faiz A. Al Alawy Jun 2024

A Comprehensive Analysis Of Deep Learning And Swarm Intelligence Techniques To Enhance Vehicular Ad-Hoc Network Performance, Hussein K. Abdul Atheem, Israa T. Ali, Faiz A. Al Alawy

Journal of Soft Computing and Computer Applications

The primary elements of Intelligent Transportation Systems (ITSs) have become Vehicular Ad-hoc NETworks (VANETs), allowing communication between the infrastructure environment and vehicles. The large amount of data gathered by connected vehicles has simplified how Deep Learning (DL) techniques are applied in VANETs. DL is a subfield of artificial intelligence that provides improved learning algorithms able to analyzing and process complex and heterogeneous data. This study explains the power of DL in VANETs, considering applications like decision-making, vehicle localization, anomaly detection, traffic prediction and intelligent routing, various types of DL, including Recurrent Neural Networks (RNNs), and Convolutional Neural Networks (CNNs) are …

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A Novel Approach To Generate Dynamic S-Box For Lightweight Cryptography Based On The 3d Hindmarsh Rose Model, Ala'a Talib Khudhair, Abeer Tariq Maolood, Ekhlas Khalaf Gbashi Jun 2024

A Novel Approach To Generate Dynamic S-Box For Lightweight Cryptography Based On The 3d Hindmarsh Rose Model, Ala'a Talib Khudhair, Abeer Tariq Maolood, Ekhlas Khalaf Gbashi

Journal of Soft Computing and Computer Applications

In lightweight cryptography, the absence of an S-Box in some algorithms like speck, Tiny Encryption Algorithm, or the presence of a fixed S-Box in others like Advanced Encryption Standard can make them more vulnerable to attacks. This study introduces an innovative method for creating a dynamic 6-bit S-Box (8×8) in octal format. The generating process of S-Box passes through two phases. The first is the number initialization phase. This phase involves generating sequence numbers 1, sequence numbers 2, and sequence numbers 3 depending on Xi, Yi, and Zi values generated using the 3D Hindmarsh …

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The Robust Digital Video Watermarking Methods: A Comparative Study, Ebtehal Talib, Abeer Salim Jamil, Nidaa Flaih Hassan, Muhammad Ehsan Rana Jun 2024

The Robust Digital Video Watermarking Methods: A Comparative Study, Ebtehal Talib, Abeer Salim Jamil, Nidaa Flaih Hassan, Muhammad Ehsan Rana

Journal of Soft Computing and Computer Applications

Digital data such as images, audio, and video have become widely available since the invention of the Internet. Due to the ease of access to this multimedia, challenges such as content authentication, security, copyright protection, and ownership determination arose. In this paper, an explanation of watermark techniques, embedding, and extraction methods are provided. It further discusses the utilization of artificial intelligence methods and conversion of host media from the spatial domain to the frequency domain; these methods aim to improve the quality of watermarks. This paper also included a classification of the basic characteristics of the digital watermark and the …

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Foxann: A Method For Boosting Neural Network Performance, Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid, S. Vimal Jun 2024

Foxann: A Method For Boosting Neural Network Performance, Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid, S. Vimal

Journal of Soft Computing and Computer Applications

Artificial neural networks play a crucial role in machine learning and there is a need to improve their performance. This paper presents FOXANN, a novel classification model that combines the recently developed Fox optimizer with ANN to solve ML problems. Fox optimizer replaces the backpropagation algorithm in ANN; optimizes synaptic weights; and achieves high classification accuracy with a minimum loss, improved model generalization, and interpretability. The performance of FOXANN is evaluated on three standard datasets: Iris Flower, Breast Cancer Wisconsin, and Wine. The results presented in this paper are derived from 100 epochs using 10-fold cross-validation, ensuring that all dataset …

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Surveying Machine Learning In Cyberattack Datasets: A Comprehensive Analysis, Azhar F. Al-Zubidi, Alaa Kadhim Farhan, El-Sayed M. El-Kenawy Jun 2024

Surveying Machine Learning In Cyberattack Datasets: A Comprehensive Analysis, Azhar F. Al-Zubidi, Alaa Kadhim Farhan, El-Sayed M. El-Kenawy

Journal of Soft Computing and Computer Applications

Cyberattacks have become one of the most significant security threats that have emerged in the last couple of years. It is imperative to comprehend such attacks; thus, analyzing various kinds of cyberattack datasets assists in constructing the precise intrusion detection models. This paper tries to analyze many of the available cyberattack datasets and compare them with many of the fields that are used to detect and predict cyberattack, like the Internet of Things (IoT) traffic-based, network traffic-based, cyber-physical system, and web traffic-based. In the present paper, an overview of each of them is provided, as well as the course of …

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Effect Of Hydrothermal Coupling Aging On Performance Of Rubber Modified Asphalt, Chen Zhenwei, Wu Xuewen, Xiao Xuan, Li Ping, Liu Shende Jun 2024

Effect Of Hydrothermal Coupling Aging On Performance Of Rubber Modified Asphalt, Chen Zhenwei, Wu Xuewen, Xiao Xuan, Li Ping, Liu Shende

Journal of China & Foreign Highway

To study the effect of hydrothermal coupling aging on the performance of rubber modified asphalt,this article simulated thermal aging and hydrothermal coupling aging tests and investigated the effect of different aging environments on the high-temperature and low-temperature performance of asphalt from macroscopic and microscopic levels through conventional index tests,dynamic shear rheology tests,and gel chromatography tests,as well as the effect of different aging environments on the interfacial properties through low-temperature adhesion tests of asphalt and aggregates.The results show that the effects of hydrothermal coupling aging on the ductility and softening point of rubber modified asphalt are more significant than those of …

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Fatigue Performance Of Qingchuan Rock Modified Asphalt Mixture Under Accelerated Loading Test, Li Zhi, Hao Yan, Yuan Xiaoman, Zhuang Chuanyi Jun 2024

Fatigue Performance Of Qingchuan Rock Modified Asphalt Mixture Under Accelerated Loading Test, Li Zhi, Hao Yan, Yuan Xiaoman, Zhuang Chuanyi

Journal of China & Foreign Highway

To evaluate the fatigue performance of Qingchuan rock modified asphalt mixture,a dynamic wheel-load three-point bending loading fatigue test device based on an accelerated loading test system of 1∶3 scale pavement was designed.The three-point bending repeated loading fatigue test of a composite rutting specimen of double-layer asphalt mixture under tire rolling was carried out.Through the MTS bending fatigue test of a small beam specimen of asphalt mixture,the improvement effects of Qingchuan rock modified asphalt and composite modified asphalt on the fatigue performance of the asphalt mixture were evaluated.The results show that Qingchuan rock modified asphalt can improve the ability of asphalt …

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Analytical Method For Deformation And Internal Force Of Suspension Bridge Under Concentrated Live Load, Zhao Haixia, Wang Tao Jun 2024

Analytical Method For Deformation And Internal Force Of Suspension Bridge Under Concentrated Live Load, Zhao Haixia, Wang Tao

Journal of China & Foreign Highway

As a flexible structure,the response of suspension bridges under live load has been the focus of research for a long time.This paper presented an analytical calculation method for structural deformation and internal force of suspension bridges under concentrated live load.Based on the known bridge state parameters and live load parameters,the deformation of the main cable,the deformation of the main beam,the relationship between the main cable and the main beam,and the deformation of the bridge tower were analyzed successively.Then,four kinds of governing equations were established,involving the conserved unstrained length of each main cable,the coordinated force and deformation of each suspender,the closed …

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Influence Of Crosswind On Traffic Operation Safety Of Long‑Span Bridges, Shen Quanjun, Wang Zijian, Xing Xiaoliang, Zhang Yu, Gao Lixiao, Chen Liang Jun 2024

Influence Of Crosswind On Traffic Operation Safety Of Long‑Span Bridges, Shen Quanjun, Wang Zijian, Xing Xiaoliang, Zhang Yu, Gao Lixiao, Chen Liang

Journal of China & Foreign Highway

Crosswind has a great influen ce on the operation safety of vehicles on long-span bridges.To explore the relationship between the characteristic parameters of the crosswind and the traffic operation safety of the long-span bridge,the Yellow River Bridge with frequent crosswinds was taken as the experimental section,and the relationship between traffic accidents and the distribution of crosswinds on the bridge was analyzed.A fitting relationship model of traffic operation coordination of the long-span bridge under the action of the crosswind was established.The study shows that the occurrence of crosswinds in each season is highly discrete.The crosswind is the main cause of vehicle …

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Fatigue Analysis Method Through Load Spectrum Considering Cyclic Characteristics For Highway Bridges, Sun Liangfeng, Zheng Xianglong, Shen Mingjiang Jun 2024

Fatigue Analysis Method Through Load Spectrum Considering Cyclic Characteristics For Highway Bridges, Sun Liangfeng, Zheng Xianglong, Shen Mingjiang

Journal of China & Foreign Highway

No abstract provided.

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Characteristics And Safety Of Weaving Areas Of Trunk Roads Based On Traffic Conflicts, Wang Ziming, Li Shubin, Cui Shuai Jun 2024

Characteristics And Safety Of Weaving Areas Of Trunk Roads Based On Traffic Conflicts, Wang Ziming, Li Shubin, Cui Shuai

Journal of China & Foreign Highway

This paper selected a weaving area on Jingshi Road in Jinan,China as the investigation object to study the characteristics of traffic conflicts and the safety level of each lane in the weaving area between the entrance of an urban trunk road and a signal-controlled intersection.In this research,a signal period was set as the investigation interval,traffic conflicts were identified as the research basis,and the collision time (TTTC) was selected as the index.Severity thresholds of traffic conflicts were established by using the cumulative frequency method,and a model was constructed to represent the relationship among the overall traffic volume,traffic density,and the number of …

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Stress And Deformation Of Retaining Structure In Narrow And Long Foundation Pit Based On Steel Braces, Xu Liwu, Chen Zhuoyi, Qiu Lijie Jun 2024

Stress And Deformation Of Retaining Structure In Narrow And Long Foundation Pit Based On Steel Braces, Xu Liwu, Chen Zhuoyi, Qiu Lijie

Journal of China & Foreign Highway

Based on a large deep foundation pit project,the deformation characteristics of the pit support enclosure system,force characteristics,and changing trend of surrounding ground surface settlement during the excavation process of the narrow and long deep foundation pit with steel braces were studied through automated monitoring and numerical simulation.Midas GTS was used to establish the pit model,and the effects of the horizontal spacing of the steel brace,the distance of the third steel brace from the bottom of the pit,the preloaded axial force of the steel brace,and the change of the pile diameter of the pit enclosure on the deformation and force of …

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Correlation Analysis Of Highway Traffic Accidents Based On Improved Apriori Algorithm, Qiu Wenli, Yang Haifeng, Zhang Shaobo, Qiu Yu, Zhao Jiao Jun 2024

Correlation Analysis Of Highway Traffic Accidents Based On Improved Apriori Algorithm, Qiu Wenli, Yang Haifeng, Zhang Shaobo, Qiu Yu, Zhao Jiao

Journal of China & Foreign Highway

In order to explore the as sociation characteristics between influencing factors of accidents from existing traffic data and provide precise and fine-grained decision support information for highway operation and management departments,a constrained improved Apriori algorithm was established to mine the association rules affecting highway traffic accidents by considering four dimensions:driver,environment,road,and vehicle.On the basis of the traditional Apriori algorithm,the improvement of antecedent and consequent constraints of the rule may increase the accuracy and efficiency of mining association rules.Based on the analysis of 3 178 highway traffic accident data,it is shown that the improved Apriori algorithm reduces the number of invalid association …

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