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Articles 16501 - 16530 of 195926
Full-Text Articles in Engineering
Developing And Testing Low-Cost Air Cleaners For Safer Spaces During Wildfires, Brett W. Stinson, Elliott T. Gall
Developing And Testing Low-Cost Air Cleaners For Safer Spaces During Wildfires, Brett W. Stinson, Elliott T. Gall
Mechanical and Materials Engineering Faculty Publications and Presentations
Air cleaning reduces indoor exposure to fine particulate matter (PM2.5) during wildfire smoke events. However, resource and cost constraints may limit access to air cleaning during such an event, as both commercial devices and the higher-rated MERV filters that do-it-yourself (DIY) assemblies typically rely upon tend to be expensive and in short supply. With these constraints in mind, we developed and evaluated several configurations of a novel, DIY air cleaner that uses common household fabrics as filtration media. Clean air delivery rates (CADRs) of the devices were experimentally evaluated in two ways: first, with independent measurements of flowrates and single …
A Case Study On Optimizing Industrial Air Conditioning With Thermal Solar Energy In Egypt, Tamer Adel Mohamed, Hesham Safwat, Mohammed A. Ebaid
A Case Study On Optimizing Industrial Air Conditioning With Thermal Solar Energy In Egypt, Tamer Adel Mohamed, Hesham Safwat, Mohammed A. Ebaid
Mechanical Engineering
This study investigates the feasibility of implementing a solar-assisted adsorption chiller in an industrial building at the Oriental Weavers International factory located in 10th of Ramadan City, Cairo, Egypt. The objective is to replace an inefficient split air conditioning system currently used to cool the Jacquard units during carpet manufacturing. The research begins by analyzing the performance of the existing cooling system to establish a baseline. It then explores the potential energy savings achievable by replacing the current system with a solar-assisted adsorption chiller. The existing oversized boiler will serve as an auxiliary heater for the new system. TRNSYS simulation …
Synthesis, Characterization, And Antibacterial Activity Of Graphene Oxide/Zinc Hydroxide Nanocomposites, Jo Ann Sanchez, Luis A. Materon, Jason Parsons, Mataz Alcoutlabi
Synthesis, Characterization, And Antibacterial Activity Of Graphene Oxide/Zinc Hydroxide Nanocomposites, Jo Ann Sanchez, Luis A. Materon, Jason Parsons, Mataz Alcoutlabi
Mechanical Engineering Faculty Publications
Graphene and graphene oxide have shown good antibacterial activity against different bacterial species due to their unique physicochemical properties. Graphene oxide (GO) has been widely used to load metallic and metal oxide nanoparticles (NPs) to minimize their surface energy during processing and preparation, hence reducing their aggregation. In this work, GO was effectively synthesized and coated with different concentrations of zinc hydroxide Zn (OH)x using the precipitation method to prepare a GO/Zn (OH)x hybrid composite. The Zn (OH)x NPs and GO/Zn (OH)x nanocomposites were synthesized and characterized using various methods such as scanning electron microscopy (SEM), X-ray diffraction (XRD), and …
Computational Fluid Dynamics Visualization For Unmanned Aerial Systems In Bridge Inspections, Kristoffer B. Borgen, John Mott
Computational Fluid Dynamics Visualization For Unmanned Aerial Systems In Bridge Inspections, Kristoffer B. Borgen, John Mott
Journal of Aviation Technology and Engineering
Bridge inspections are an expensive and time-consuming process, varying significantly with a bridge’s style, height, width, and length. Inspections create interruptions that interfere with bridge use, as the examination requires partial or total closure, causing traffic delays. Unmanned aerial system (UAS) use has increased significantly over the past decade, including assistance and coordination during bridge inspections. However, the impact on a UAS from high winds and turbulent airflows induced by a bridge’s structure can decrease flight safety during inspections. Visualization of these hazards is difficult for UAS operators; therefore, a process to estimate the velocity and locations of these hazardous …
Energy Safety Management: A Training Model To Improve Flight Safety, Juan R. Merkt, Matthijs H. J. Amelink, David G. Sizoo
Energy Safety Management: A Training Model To Improve Flight Safety, Juan R. Merkt, Matthijs H. J. Amelink, David G. Sizoo
Journal of Aviation Technology and Engineering
Failing to properly manage an airplane’s energy state can be unforgiving. Mismanagement of mechanical energy (altitude and/or airspeed) is a contributing factor to three common types of fatal accidents in aviation: loss of control in flight, approach and landing accidents, and controlled flight into terrain. Recognizing the importance of energy management, the Federal Aviation Administration has incorporated new elements into the Airman Certification Standards, emphasizing knowledge of energy management concepts and the consequences of mishandling an airplane’s energy state. Unfortunately, no adequate guidance has been available in terms of defining key energy management concepts or suggesting how these should be …
Exploring Co2-Eor Miscibility Flooding Potential For Horus Oil Field, Western Desert, Egypt: A Simulation-Based Investigation, Attia Attia, Adel Salem Prof., Rehab El-Maghraby, Mohamed Youssef Prof.
Exploring Co2-Eor Miscibility Flooding Potential For Horus Oil Field, Western Desert, Egypt: A Simulation-Based Investigation, Attia Attia, Adel Salem Prof., Rehab El-Maghraby, Mohamed Youssef Prof.
Petroleum Engineering and Gas
Carbon dioxide (CO2) miscible flooding is becoming increasingly vital in enhanced oil recovery (EOR) not only for residual oil extraction but also for holding a potential for environmental protection, given its association with global warming. This paper explores the impact of EOR using miscible continuous gas injection on enhancing the oil productivity of the aging Horus oil field in Egypt's Western Desert. Horus field faces declining production rates and a significant water cut, with only eight wells out of 24 wells actively producing. Currently, the field maintains a stabilized oil production plateau of 1050 barrels per day, accompanied by a …
Optoelectronic And Morphological Surface Resistance Evaluation Of Laser-Induced Graphene Counter Electrodes For Potential Applications In Cesium Lead Halide Perovskite Solar Cells, Ziad Khalifa, Sameh Osama Abdellatif, Rami Ghannam
Optoelectronic And Morphological Surface Resistance Evaluation Of Laser-Induced Graphene Counter Electrodes For Potential Applications In Cesium Lead Halide Perovskite Solar Cells, Ziad Khalifa, Sameh Osama Abdellatif, Rami Ghannam
Chemical Engineering
This study investigates the physicochemical, optical, and electrical characterization of laser-induced graphene (LIG) samples for integration as counter electrodes in cesium lead halide perovskite solar cells. The impact of laser processing parameters on electrode performance is explored, including laser power, laser speed, and beam defocus. Density functional theory (DFT) computational modeling is employed for atomistic investigation and work function estimation, demonstrating the density of states (DOS), quantum capacitance of the graphene sheets, and energy work function. NiO is utilized as a hole transport layer, and the energy work function of LIG is tuned accordingly. SEM measurements estimate thin film porosity, …
Direct Evaporative Cooling For Sustainability And Environmental Conservation, Hesham Safwat, Iman El-Mahallawi
Direct Evaporative Cooling For Sustainability And Environmental Conservation, Hesham Safwat, Iman El-Mahallawi
Mechanical Engineering
This work presents the results of experimental work on cellulose cooling pads with honeycomb structure to study their evaporative cooling effect which is one of the partial solutions for achieving the SDG goals 2030. The paper outlines vari ous types of evaporative cooling materials, highlighting their distinctions and potential applications. Furthermore, it offers a comparative analysis of the cooling effects between wide hole and narrow hole cellulose cooling pads, both individually and in combination. The experimental setup results are thoroughly examined to provide insights into the performance of the cooling pads. Results showed up that direct evaporative cooling have a …
Development And Evaluation Of An Expedited System For Creation Of Single Walled Carbon Nanotube Platforms, Ivon Acosta Ramirez, Omer Sadak, Wali Sohail, Xi Huang, Yongfeng Lu, Nicole M. Iverson
Development And Evaluation Of An Expedited System For Creation Of Single Walled Carbon Nanotube Platforms, Ivon Acosta Ramirez, Omer Sadak, Wali Sohail, Xi Huang, Yongfeng Lu, Nicole M. Iverson
Department of Electrical and Computer Engineering: Faculty Publications
Single-walled carbon nanotubes (SWNT) have a strong and stable near-infrared (nIR) fluorescence that can be used to selectively detect target analytes, even at the single molecule level, through changes in either their fluorescence intensity or emission peak wavelength. SWNTs have been employed as NIR optical sensors for detecting a variety of analytes. However, high costs, long fabrication times, and poor distributions limit the current methods for immobilizing SWNT sensors on solid substrates. Recently, our group reported a protocol for SWNT immobilization with high fluorescence yield, longevity, fluorescence distribution, and sensor response, unfortunately this process takes 5 days to complete. Herein …
Introduction To Computer Technology: Build Your Own Computer, Michael Deredita, Orit D. Gruber
Introduction To Computer Technology: Build Your Own Computer, Michael Deredita, Orit D. Gruber
Open Educational Resources
The students will work on a project to specify, shop, and build a desktop computer (using a budget ~ $1,750), according to their needs and applications. Students will use Newegg (https://www.newegg.com) and/or Microcenter (https://www.microcenter.com/) to browse and select (parts), and will record the specifications of the selected components; including the make/model/item number of each part.
The Role Of Furan Moieties On The Thermal Decomposition And Char Formation Of Intrinsically Fire-Resistant Epoxy Thermosets For Composites, Amy E. Honnig Bassett
The Role Of Furan Moieties On The Thermal Decomposition And Char Formation Of Intrinsically Fire-Resistant Epoxy Thermosets For Composites, Amy E. Honnig Bassett
Theses and Dissertations
Fire-retardant chemicals added to epoxy thermosets used as coatings, adhesives, and fiber-reinforced polymer composites (FRPCs) negatively impact performance and the environment. This dissertation takes a novel approach to mitigate the flammability of these systems by designing intrinsically fire-resistant epoxies via the incorporation of furan moieties. Glycidyl amines based on furfuryl amine and judiciously selected derivatives of furfuryl amine were synthesized to produce furan-based di-epoxies (FDEs) that were cured by anionic polymerization and with amine curing agents. The furan ring was found to impart additional reactivity for cross-linking and to induce char-forming reactions at higher temperatures. More importantly, the placement of …
Annual Progress In Global Carbon Capture, Utilization, And Storage In 2023, Siyuan Fang, Yun Hang Hu
Annual Progress In Global Carbon Capture, Utilization, And Storage In 2023, Siyuan Fang, Yun Hang Hu
Michigan Tech Publications
Since the industrial revolution, global anthropogenic CO2 emissions have surged dramatically to unsustainable levels, resulting in severe issues, such as global warming, extreme weather events, and species extinction. In response to this critical situation, extensive efforts have been undertaken across academia, industry, and policymaking sectors to deploy carbon capture, utilization, and storage (CCUS) technologies. Here, we present the annual summary of global CCUS for the year 2023. We begin by discussing the trends of anthropogenic CO2 emissions and atmospheric CO2 concentrations, and then offer an up-to-date summary of progress in academia, industry, and policy, respectively. In academia, we analyze the …
Analysis Of The Potential For Enhancing The Efficiency Of A Floating Photovoltaic (Fpv) System, How-Ping Wu, Ching-Yi Tseng, Chuan-Chung Jen, Yuan-Ching Chiang, Sih-Li Chen
Analysis Of The Potential For Enhancing The Efficiency Of A Floating Photovoltaic (Fpv) System, How-Ping Wu, Ching-Yi Tseng, Chuan-Chung Jen, Yuan-Ching Chiang, Sih-Li Chen
Journal of Marine Science and Technology–Taiwan
This study examined the power generation capabilities of FPV systems and the advantages of employing active cooling on floating solar panels. Floating solar panels exhibit improved efficiency due to operating at lower temperatures facilitated by the cooling effect of water evaporation. Additionally, the high availability of water renders the application of the active cooling technique economically viable. This study developed a comprehensive simulation of a floating solar system, integrating a mathematical model to validate experimental findings and a temperature model derived from an energy equation specific to floating solar panels. This model calculates the heat transfer among the three different …
Examining The Oxidation States Of Metals In Aerosols Emitted By Electronic Cigarettes, Kashala Fabrice Kapiamba, Stephen Yaw Owusu, Yangtao Wu, Yue-Wern Huang, Yi Jiang, Yang Wang
Examining The Oxidation States Of Metals In Aerosols Emitted By Electronic Cigarettes, Kashala Fabrice Kapiamba, Stephen Yaw Owusu, Yangtao Wu, Yue-Wern Huang, Yi Jiang, Yang Wang
Biological Sciences Faculty Research & Creative Works
Electronic cigarettes (ECs) emit many toxic substances, including metals, that can pose a threat to users and the environment. The toxicity of the emitted metals depends on their oxidation states. Hence, this study examines the oxidation states of metals observed in EC aerosols. X-ray photoelectron spectroscopy analysis of the filters that collected EC aerosols identified the oxidation states of five primary metals (based on surface sample analysis), including chromium(III) (close to 100%) under low power setting while a noticeable amount of chromium(VI) (15%) at higher power settings of the EC, and copper(II) (100%), zinc(II) (100%), nickel(II) (100%), lead(II) (65%), and …
Effective Position Intelligent Decision Method Based On Model Fusion And Generative Network, Liqiang Guo, Liang Ma, Hui Zhang, Jing Yang, Lianfeng Li, Yaqi Zhai
Effective Position Intelligent Decision Method Based On Model Fusion And Generative Network, Liqiang Guo, Liang Ma, Hui Zhang, Jing Yang, Lianfeng Li, Yaqi Zhai
Journal of System Simulation
Abstract: Military intelligence technology is currently the most dynamic frontier and the inevitable trend for the development of unmanned equipment in the future. Aiming at the dual requirements of reliability and real-time performance of unmanned platform autonomous decision-making in complex environments and the shortcomings of existing combat simulation technology based on rule reasoning in terms of dynamics and flexibility, a research method of principle analysis and experimental verification is adopted. Based on the shooting experiment dataset of an unmanned platform, the effective position recognition link of attack decision-making is transformed into a binary classification problem with imbalanced categories in the …
Digital Twin Modeling And Control Of Robots For Intelligent Manufacturing Scenarios, Ying Li, Lan Gao, Zhisong Zhu
Digital Twin Modeling And Control Of Robots For Intelligent Manufacturing Scenarios, Ying Li, Lan Gao, Zhisong Zhu
Journal of System Simulation
Abstract: The introduction of Industry 4.0 and the Made in China 2025 development policy has accelerated the transformation of the manufacturing industry from automation to intelligence. Industrial robots, as the representative equipment of intelligent manufacturing, will also become more intelligent. Based on digital twin technology, digital modeling, and simulation debugging are conducted for such problems as interference and collision, tedious operation, and low efficiency of industrial robot spot welding debugging in production. Process Simulate from TECNOMATIX software is utilized to digitally model the robot spot welding station and define its motion, and TIA Portal and S7-PLCSIM Advanced are applied to …
Research On Learnable Wargame Agent Driven By Battle Scheme, Yifeng Sun, Zhi Li, Jiang Wu, Yubin Wang
Research On Learnable Wargame Agent Driven By Battle Scheme, Yifeng Sun, Zhi Li, Jiang Wu, Yubin Wang
Journal of System Simulation
Abstract: To enable the agent to cope with complex battle scenarios and objectives in wargame, a learnable wargame agent architecture driven by a battle scheme is proposed. By analyzing the "attachment characteristics" and "loose coupling characteristics" of the agent to wargame system, the learnable requirements of the agent are obtained. In the design of the agent framework, battle schemes are used to reduce the learning range of the agent. The finite state machine corresponds to the knowledge of the operational phase in the battle scheme, and the decision-making space of the agent is determined according to the framework of the …
A Deep Fuzzy Classifier Based On Feature Transform And Reconstruction, Rui Yin, Wei Lu, Jianhua Yang
A Deep Fuzzy Classifier Based On Feature Transform And Reconstruction, Rui Yin, Wei Lu, Jianhua Yang
Journal of System Simulation
Abstract: To obtain a classifier with good classification accuracy and interpretability, a deep fuzzy classifier based on feature transform and reconstruction (FR-DFC) is proposed. In FR-DFC, several fuzzy systems (FT_FS) for feature transform and a multi-prototype fuzzy classification system (MPRFD_FS) are stacked together to realize the classification process of the model, based on the hierarchically stacked thought originated from deep learning. Specifically, the stacked FT_FSs explore the hidden features in the data by transferring data from the original data space to the high-level feature space. MPRFD_FS, on the other hand, implements classification based on multiple prototypes that characterize the distribution …
Adaptive Particle Swarm Optimization Algorithm Based On Trap Label And Lazy Ant, Wei Zhang, Yuefeng Jiang
Adaptive Particle Swarm Optimization Algorithm Based On Trap Label And Lazy Ant, Wei Zhang, Yuefeng Jiang
Journal of System Simulation
Abstract: Many existing strategies for improving particle swarm optimization (PSO) fall short in assisting particles trapped in local optima and experiencing premature convergence to recover optimization performance. In response, an adaptive particle swarm optimization algorithm based on trap label and lazy ant (TLLA-APSO) is proposed. Firstly, the trap label strategy dynamically adjusts particle velocities, enabling the particle swarm to escape from local optima. Secondly, the lazy ant optimization strategy is employed to diversify particle velocity and enhance population diversity. Finally, the inertia cognition strategy introduces historical position into velocity updates, promoting path diversity and particle exploration while effectively mitigating the …
Simulation Optimization Of Airport Baggage Import System Based On Multi-Objective Wolf Pack Algorithm, Yifei Tao, Xiaopeng Ding, Junbin Luo, Xiao Fu, Jiaxing Wu, Yirong Li
Simulation Optimization Of Airport Baggage Import System Based On Multi-Objective Wolf Pack Algorithm, Yifei Tao, Xiaopeng Ding, Junbin Luo, Xiao Fu, Jiaxing Wu, Yirong Li
Journal of System Simulation
Abstract: Aiming at the problems of long waiting time for passenger baggage import and high system energy consumption during the operation of the baggage import system in civil aviation airports, a simulation optimization framework for solving this problem is proposed by comprehensively considering the influence of key control parameters on the operation efficiency of the baggage import system in airports, including the virtual window control mode, the operation speed of the collection belt conveyor, the length of the virtual window and the number of check-in counters opened at the same time. By analyzing the actual operating conditions of the airport …
Task Analysis Methods Based On Deep Reinforcement Learning, Xue Gong, Pengfei Peng, Li Rong, Yalian Zheng, Jun Jiang
Task Analysis Methods Based On Deep Reinforcement Learning, Xue Gong, Pengfei Peng, Li Rong, Yalian Zheng, Jun Jiang
Journal of System Simulation
Abstract: In response to the high coupling of task interaction and many influencing factors in task analysis, a task analysis method based on sequence decoupling and deep reinforcement learning (DRL) is proposed, which can achieve task decomposition and task sequence reconstruction under complex constraints. The method designs an environment for deep reinforcement learning based on task information interaction, while improving the SumTree algorithm based on the difference between the loss functions of the target network and the evaluation network, achieving the priority evaluation among tasks. The activation function operation mechanism is introduced into the deep reinforcement learning network, followed by …
Modeling And Verification Of Cooperative Vehicle Infrastructure System At Unsignalized Intersection Based On Time Automata, Wei Liu, Qirui Xiao, Xinhai Chen, Chang Rao, Yu Zhang, Bosi Wang
Modeling And Verification Of Cooperative Vehicle Infrastructure System At Unsignalized Intersection Based On Time Automata, Wei Liu, Qirui Xiao, Xinhai Chen, Chang Rao, Yu Zhang, Bosi Wang
Journal of System Simulation
Abstract: Cooperative vehicle infrastructure system (CVIS) is one of the advanced solutions to enhance intersection vehicle passage safety. Due to the lack of clear specifications and standards regarding the dynamic timing and transition processes of system object state interaction in existing CVIS technologies, ensuring the safety of passage control logic is challenging. This study utilizes formal language to describe the functional logic of CVIS in unsignalized intersections, verifying the safety of system object state interaction and control logic to improve vehicle passage safety at unsignalized intersections. Simulations are conducted for scenarios including single-vehicle non-conflict, dual-vehicle conflict, and multi-vehicle conflict to …
Real-Time Non-Photorealistic Rendering Method For Black And White Comic Style In Games And Animation, Yan Hu, Lizhe Chen, Hanna Xie, Yuyao Ge, Shun Zhou, Xingquan Cai
Real-Time Non-Photorealistic Rendering Method For Black And White Comic Style In Games And Animation, Yan Hu, Lizhe Chen, Hanna Xie, Yuyao Ge, Shun Zhou, Xingquan Cai
Journal of System Simulation
Abstract: To address the issues of high resource consumption and lengthy workflow in general nonphotorealistic, this paper proposes a real-time non-photorealistic rendering method for black and white comic style in games and animation. A specialized lighting model is designed to highlight the main environmental light and the grayscale grading of diffuse reflection based on the analysis of the lighting model effect. The pre-processing of the scene is achieved by merging the various components of the lighting model. A screen space three-phase edge detection method is proposed to sequentially perform depth edge detection, normal edge detection, and color edge detection on …
Simulation System For Carrier-Based Aircraft Ammunition Support Scheduling, Zhe Liu, Jiafeng Chen, Junfei Ma, Songhua Ma
Simulation System For Carrier-Based Aircraft Ammunition Support Scheduling, Zhe Liu, Jiafeng Chen, Junfei Ma, Songhua Ma
Journal of System Simulation
Abstract: For inefficient scheduling of carrier-based aircraft ammunition support on the flight deck of aircraft carriers, a Unity3D-based 3D virtual demonstration method for carrier-based aircraft ammunition scheduling is proposed, and a 3D virtual simulation system for carrier-based aircraft ammunition scheduling on the flight deck of aircraft carriers is constructed. A problem model targeted at carrierbased aircraft ammunition transportation and loading scheduling process as well as processing rules for path determination, sequence constraint, and loading position compensation are established based on the defining system. An optimal solution for the scheduling process is realized by using the improved discrete grey wolf optimizer …
Framework And Methodology For Risk-Based Bridge And Tunnel Asset Management: Objective Risk Assessment And Network Level Evaluation, David Y. Yang, Arash Khosravifar, Diane Moug, Avinash Unnikrishnan
Framework And Methodology For Risk-Based Bridge And Tunnel Asset Management: Objective Risk Assessment And Network Level Evaluation, David Y. Yang, Arash Khosravifar, Diane Moug, Avinash Unnikrishnan
Civil and Environmental Engineering Faculty Publications and Presentations
This report presents the results of the project on establishing a general framework and methodology for risk-based bridge and tunnel asset management. The research was carried out at Portland State University in collaboration with engineers and officials at Oregon Department of Transportation (ODOT) and Federal Highway Administration (FHWA). The primary goal of the research is to achieve risk-based transportation asset management based on (a) objective and consistent risk assessment and (b) effective prioritization and optimization of intervention strategies. Volume I of this report presents methods and findings in the base phase (Phase I) of the project, which is focused on …
Blast Wave Simulator For Laminated Glass Panels Experimental Evaluation, Mahmoud T. Nawar, Ayman El-Zohairy, Alaa El-Sisi, Hani Salim
Blast Wave Simulator For Laminated Glass Panels Experimental Evaluation, Mahmoud T. Nawar, Ayman El-Zohairy, Alaa El-Sisi, Hani Salim
Faculty Publications
The study of blast loads on structures is important due to the potential of significant consequences in various scenarios. From terrorist attacks to industrial accidents, comprehending how structures respond to blast waves is critical for ensuring public safety and designing resilient structures. Studying these effects typically involves two main methods: free-field tests with live explosives and shock tube tests. Although shock tube testing offers certain advantages, both approaches are costly and demand significant space. This research aims to develop a cost-effective and straightforward technique for generating stress waves that closely replicate the progressive and spatial characteristics of free-field or shock …
Coupled Monte Carlo And Adjoint Depletion Sensitivity Coefficient Methods, Benjamin R. Murphy
Coupled Monte Carlo And Adjoint Depletion Sensitivity Coefficient Methods, Benjamin R. Murphy
Nuclear Engineering ETDs
Recent advances in adjoint-based, continuous-energy Monte Carlo generalized perturbation theory (GPT) sensitivity coefficients are combined with adjoint-based depletion perturbation theory (DPT) sensitivities to obtain fully coupled depletion sensitivity coefficients in OpenMC. These depletion sensitivity coefficients are compared with direct perturbation results and found to have generally good agreement, though discrepancies exist. Some shortfalls of the DPT method include the inefficient initial numeric integration scheme for calculating the DPT sensitivities and the lack of stochastic uncertainty estimates for the DPT sensitivities. However, despite these shortcomings, the methodology provides the means to obtain high fidelity depletion sensitivity coefficients. With refinements to the …
Evaluation Of Dotd’S Aggregate Sources Friction Using Laboratory And Accelerated Testing, Sudhir Bharati
Evaluation Of Dotd’S Aggregate Sources Friction Using Laboratory And Accelerated Testing, Sudhir Bharati
LSU Master's Theses
Roadway safety is of utmost importance to the state transportation agencies. One of the major factors of roadway safety that agencies have control over is pavement friction which is affected by aggregate and mixture type. The Louisiana Department of Transportation and Development (DOTD) currently uses Polished Stone Values (PSV) obtained from the British Pendulum Device to rate its aggregates. These ratings determine the applicability of aggregates for various projects. However, the ratings are inconsistent, posing significant safety and financial risks. The first part of the thesis compares the currently adopted British Wheel Polisher-based Standard Practice for the Accelerated Polishing of …
Uav Path Planning Based On Improved Harris Hawk Algorithm And B-Spline Curve, Zhifeng Huang, Yuanhua Liu
Uav Path Planning Based On Improved Harris Hawk Algorithm And B-Spline Curve, Zhifeng Huang, Yuanhua Liu
Journal of System Simulation
Abstract: Aiming at the global path planning problem of unmanned aerial vehicles (UAVs) in dynamic environments, this paper proposes an improved Harris Hawk optimization algorithm. To address the problem of insufficient search performance in the later stage of the algorithm, an adaptive chaos and core population dynamic partitioning strategy is proposed to improve the searchability of the algorithm in the later stage. The Harris Hawk update formula is modified, and the golden sine strategy is introduced to improve the search efficiency of the algorithm. Then, an adaptive dynamic cloud optimal solution perturbation strategy is integrated to improve the ability of …
Optimal Scheduling Of Vehicle-Network Interaction Based On Interval Stackelberg Game Of Virtual Power Plant, Weiliang Liu, Qianwen Yan, Qiliang Zhang, Shuai Liu, Changliang Liu, Jiayao Kang, Xin Wang
Optimal Scheduling Of Vehicle-Network Interaction Based On Interval Stackelberg Game Of Virtual Power Plant, Weiliang Liu, Qianwen Yan, Qiliang Zhang, Shuai Liu, Changliang Liu, Jiayao Kang, Xin Wang
Journal of System Simulation
Abstract: To better exploit the regulation potential of electric vehicles (EVs), resolve the conflicts of interest among the stakeholders in vehicle-to-grid (V2G) interactions, and overcome the uncertainty of distributed energy sources and load, this paper proposes a two-level optimization scheduling model for V2G interactions based on the interval Stackelberg game of a virtual power plant (VPP). The VPP aggregator is considered as the upper level, and the EV users as the lower level. The upper level model uses interval numbers to describe the uncertainty of sources and loads, with the aim of minimizing the operating cost of the VPP aggregator, …