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Articles 2131 - 2160 of 27367

Full-Text Articles in Engineering

Compressive Deformations And Energy Dissipation Characteristics Of Broken Rock Masses Under Lateral Confinement, Tian Yu, Lin Haifei, Li Shugang, Shuang Haiqing, Xu Peiyun, Liu Sibo, Ji Pengfei, Cui Mingwei Oct 2025

Compressive Deformations And Energy Dissipation Characteristics Of Broken Rock Masses Under Lateral Confinement, Tian Yu, Lin Haifei, Li Shugang, Shuang Haiqing, Xu Peiyun, Liu Sibo, Ji Pengfei, Cui Mingwei

Coal Geology & Exploration

Objective This study aims to investigate the deformation and energy dissipation characteristics of broken rock masses in the caving zones of goafs during compression and to reveal their impacts on the movement and failure of overlying strata and surface subsidence. Using a self-developed experimental system, this study conducted compression experiments on broken rock masses under lateral confinement under different Talbot index values and axial stresses. Then, it analyzed variations in axial displacement, void ratio, relative breakage index, fractal dimension, and strain energy density of the broken rock masses during compression. Accordingly, this study quantified variation patterns of strain energy density …

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Mechanisms And Risk Criteria For Water Inrushes Caused By Mining-Induced Propagation Of Concealed Faults In A Coal Seam Floor, Zhang Wenquan, Shao Jianli, Shi Junwei, Li Liangning Oct 2025

Mechanisms And Risk Criteria For Water Inrushes Caused By Mining-Induced Propagation Of Concealed Faults In A Coal Seam Floor, Zhang Wenquan, Shao Jianli, Shi Junwei, Li Liangning

Coal Geology & Exploration

Background Concealed faults in a coal seam floor, characterized by random distribution, are prone to induce water inrushes, which are difficult to prevent and control. Objective and Method This study aims to investigate the mechanisms behind water inrushes induced by concealed faults in a coal seam floor under the influence of coal mining. Through a theoretical analysis, this study established the mechanical models of the initial cracking and wing crack propagation of concealed faults under seepage pressure. By analyzing the maximum propagation height of concealed faults in the floor and the post-propagation safe thickness of aquicludes, this study proposed criteria …

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Overview And Prospects Of Plain Reservoir Construction And Utilization In Coal Mining-Induced Subsidence Areas With High Water Tables In The Lower Reaches Of The Yellow River, Chen Shaojie, Jiang Ning, Zhang Genwang, Jiang Chunlin, Gao Qun Oct 2025

Overview And Prospects Of Plain Reservoir Construction And Utilization In Coal Mining-Induced Subsidence Areas With High Water Tables In The Lower Reaches Of The Yellow River, Chen Shaojie, Jiang Ning, Zhang Genwang, Jiang Chunlin, Gao Qun

Coal Geology & Exploration

Background Coal mining-induced subsidence areas with high water tables in the lower reaches of the Yellow River are encountered with pronounced contradictions between large-area water accumulation and issues including urban water scarcity, groundwater contamination, ecological degradation, and low farmland reclamation rates. These contradictions severely restrict the green, low-carbon transformation of cities with coal mines and hinder the high-quality development of the Yellow River basin. This study aims to explore the construction of plain reservoirs in these subsidence areas as a critical approach to the intensive utilization of water and land resources in the subsidence areas, as well as the ecological …

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Discussion On Multi-Sphere Responses And Damage Reduction-Oriented Geological Guarantees In Coal Mining, Wang Shuangming, Sun Qiang, Li Shibo, Hu Xin, Gu Chao, Geng Jishi, Zhou Shutao, Yuan Shihao, Song Shijie, Niu Chao, Wu Yun, Chen Yang Oct 2025

Discussion On Multi-Sphere Responses And Damage Reduction-Oriented Geological Guarantees In Coal Mining, Wang Shuangming, Sun Qiang, Li Shibo, Hu Xin, Gu Chao, Geng Jishi, Zhou Shutao, Yuan Shihao, Song Shijie, Niu Chao, Wu Yun, Chen Yang

Coal Geology & Exploration

Objective Coals serve as a cornerstone for ensuring the energy security of China. However, coal mining activities break the original in situ stress equilibrium, triggering multi-sphere damage conduction and coupling responses in the lithosphere, hydrosphere, pedosphere, biosphere, and atmosphere from underground to the surface, involving rock mass structure, groundwater, and surface environment. Consequently, the original structural relationships, occurring elements, and functions of these spheres will be changed. Presently, investigating the multi-sphere structural evolution, conservation, and utilization in coal mining to underpin the role of coals as an energy cornerstone is significant for resolving the contradiction between the high-quality development of …

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Table Of Contents, The Editors Oct 2025

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

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Influence Mechanisms Of Soil Layer Reconstruction And Fungal Inoculation On Plant Water Use In Waste Dumps, Bi Yinli, Li Zhongqing, Ke Zengming, Peng Suping Oct 2025

Influence Mechanisms Of Soil Layer Reconstruction And Fungal Inoculation On Plant Water Use In Waste Dumps, Bi Yinli, Li Zhongqing, Ke Zengming, Peng Suping

Coal Geology & Exploration

Objective In the mining areas of open-pit coal mines in the arid and semi-arid regions in western China, water scarcity severely restricts ecological restoration. As preliminary ecological effects have been achieved through soil layer reconstruction and bioremediation-based reclamation technologies in waste dumps of the mining areas, there is an urgent need to investigate the effects of both technologies on the water use and growth of representative plants. This will provide a scientific basis for accelerating ecological restoration in the mining areas. Methods In a waste dump of the Heidaigou open-pit coal mine in Inner Mongolia, four experimental program for soil …

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Influence Patterns Of Coal Mining-Induced Subsidence On Economic Losses From Soil Erosion Of Loess Slopes In The Middle Reaches Of The Yellow River, Song Shijie, Li Yuanhong, Wang Yi, Liu Lu, Tian Yu, Tan Qingyu Oct 2025

Influence Patterns Of Coal Mining-Induced Subsidence On Economic Losses From Soil Erosion Of Loess Slopes In The Middle Reaches Of The Yellow River, Song Shijie, Li Yuanhong, Wang Yi, Liu Lu, Tian Yu, Tan Qingyu

Coal Geology & Exploration

Background Quantitative assessment of economic losses from soil erosion on subsidence slopes in coal mining-induced subsidence areas can offer a critical basis for formulating scientific economic compensation standards while also laying a solid foundation for efficient governance.Methods This study investigated the subsidence slopes with different morphologies in the typical loess area subjected to coal mining-induced subsidence in northern Shaanxi Province. Using methods including field sampling, laboratory tests, and environmental economics analysis, this study constructed an index system for the quantitative assessment of economic losses from soil erosion on coal mining-induced subsidence slopes and revealed the variation patterns of such …

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Mechanisms Behind Consolidation-Induced Water Release From Effective Impermeable Soil Layers And Mine Water Inflow Prediction In Coal Mining, Li Tao, Gao Ying, Fan Limin, Yang Junwei Oct 2025

Mechanisms Behind Consolidation-Induced Water Release From Effective Impermeable Soil Layers And Mine Water Inflow Prediction In Coal Mining, Li Tao, Gao Ying, Fan Limin, Yang Junwei

Coal Geology & Exploration

Background In the Yushen mining area, coal mining is gradually shifting toward areas with thick soil layers. This leads to continuous water release from the saturated soils above the hydraulically conductive fracture zones, thereby significantly increasing the burden of mine water drainage. Focusing on the Yushuwan Coal Mine in northern Shaanxi, this study investigated the mechanisms behind mining-induced water release from effective impermeable soil layers and predicted mine water inflow. Methods Using conventional hydrochemistry, isotopic hydrochemistry, and a high-throughput microbial sequencing method, this study conducted qualitative and quantitative identification of the primary water sources of a mine in the Yushuwan …

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Numerical Simulations Of The Influence Of Vegetation Configuration On Dust Migration In Open-Pit Coal Mines, Han Li, Li Renjie, Bi Yinli Oct 2025

Numerical Simulations Of The Influence Of Vegetation Configuration On Dust Migration In Open-Pit Coal Mines, Han Li, Li Renjie, Bi Yinli

Coal Geology & Exploration

Background Dust pollution emerges as a major environmental challenge in the open-pit mining of coal mines. Ecological restoration has found widespread applications in mining areas as a crucial measure. However, there is a lack of systematic studies on the role of vegetation configuration in dust migration. Methods Using the computational fluid dynamics (CFD) method for numerical simulation, this study constructed a comprehensive simulation framework incorporating wind field reconstruction, dust migration, and the dust retention capacity of vegetation. By setting different particle sizes and wind speeds, this study systematically analyzed dust migration patterns. Furthermore, vegetation configuration was introduced into the simulation …

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Links Of Intensification Chemical Weathering And Nickel Enrichment With Volcanism In The North China Plate Around The Permian-Triassic Boundary, Wang Ye, Ye Chengzhuo, Zhang Tong, Yang Minfang, Zhou Kai, Zhang Peixin, Yang Yuzhu, Zhang Chu, Lu Jing Oct 2025

Links Of Intensification Chemical Weathering And Nickel Enrichment With Volcanism In The North China Plate Around The Permian-Triassic Boundary, Wang Ye, Ye Chengzhuo, Zhang Tong, Yang Minfang, Zhou Kai, Zhang Peixin, Yang Yuzhu, Zhang Chu, Lu Jing

Coal Geology & Exploration

Objective The North China Plate serves as a pivotal region for deciphering the mechanisms underlying the links of volcanism and paleoenvironmental-climatic upheavals around the Permian-Triassic Boundary (PTB). The dramatic environmental perturbations during this period are closely linked to large-scale volcanic eruptions of the Siberian Traps Large Igneous Province (STLIP). These eruptions triggered global warming, extreme chemical weathering events, and mass extinctions, marking a significant turning point in the evolution of the Earth system.Methods This study investigated the Sunjiagou and Liujiagou formations in the WY-U-01H borehole in the Qinshui Basin, North China Plate. Using the chemical index of alteration (CIA), …

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Mechanisms Underlying The Impacts Of Reservoir Pore Structures On Near-Well Salt Precipitation In Co2 Geological Storage, Deng Chenguang, Sun Xiaolong, Liu Keyu, An Senyou, Yuan Guanghui, Wang Yuxiang Oct 2025

Mechanisms Underlying The Impacts Of Reservoir Pore Structures On Near-Well Salt Precipitation In Co2 Geological Storage, Deng Chenguang, Sun Xiaolong, Liu Keyu, An Senyou, Yuan Guanghui, Wang Yuxiang

Coal Geology & Exploration

Objective and Method High CO2 injectivity in reservoirs is essential for high-quality sites of CO2 geological storage (CGS). Salt precipitation in the vicinity of injection wells due to brine dissolution in CO2 emerges as a critical factor impairing CO2 injectivity. To explore the differences in the mechanisms behind salt precipitation and damage degree across various reservoirs, this study conducted salt precipitation simulation experiments on sandstone samples with distinct pore structures using a high-temperature and high-pressure fluid displacement system. By combining methods such as cast thin section observations, scanning electron microscopy and resulting spectra, micro-X-ray fluorescence (micro-XRF) …

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A Method For Detecting Weathered And Oxidized Zones In Shallowly Buried Coal Seams Integrating Logging And Dense Microtremor Array Technology, Ma Zhi, He Weisheng, Hu Qiuping, Guo Zhengxue, Zhou Jinju, Chen Tongjun, Yang Le, Yuan Zhichao Oct 2025

A Method For Detecting Weathered And Oxidized Zones In Shallowly Buried Coal Seams Integrating Logging And Dense Microtremor Array Technology, Ma Zhi, He Weisheng, Hu Qiuping, Guo Zhengxue, Zhou Jinju, Chen Tongjun, Yang Le, Yuan Zhichao

Coal Geology & Exploration

Objective The central and western regions of China hold abundant shallowly buried coal resources. However, the accurate exploration and safe, efficient development of coal seams in these regions are confronted with serious challenges due to weathering and oxidation. To achieve the cost-effective delineation of weathered and oxidized zones in shallowly buried coal seams, this study proposed a novel exploration method that integrated logging and dense microtremor array technology based on differences in physical properties and geophysical responses between weathered and oxidized zones and normal strata. Methods Initially, based on the analysis of the laws of variations in the physical properties …

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Global Representative Metallogenic Models And Geophysical Exploration Methods Of Sylvite: Current Research Status And Prospects, Qu Ping, Yue Hangyu, Huang Xiaobing, Song Jiong Oct 2025

Global Representative Metallogenic Models And Geophysical Exploration Methods Of Sylvite: Current Research Status And Prospects, Qu Ping, Yue Hangyu, Huang Xiaobing, Song Jiong

Coal Geology & Exploration

Background Sylvite serves as a strategic mineral resource that plays a significant role in ensuring food safety and sustainable agricultural development, with approximately 90% of global potash resources used for potassium fertilizer production. However, developing countries such as China have long faced the challenges of heavy dependence on potash imports and insufficient potash resource continuity. Such a supply and demand framework causes China to speed up research on potash metallogenic patterns and technical innovations in potash exploration. This will help overcome resource bottlenecks. Objective This study presented a systematic summary of global potash metallogenic models and investigated the approaches of …

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Neutrosophic Set Model For Effective Earthquake Disaster Risk Management: Results And Discussion, Emadaldeen Hassan Alomar, Abdullah Ali Salamai Oct 2025

Neutrosophic Set Model For Effective Earthquake Disaster Risk Management: Results And Discussion, Emadaldeen Hassan Alomar, Abdullah Ali Salamai

Neutrosophic Systems with Applications

Secondary effects including landslides, tsunamis, and fires can cause significant damage and fatalities following an earthquake. Effective disaster risk management has been predicted to be built on regional fire-following earthquake (FFE) risk. Specifically, a target region’s building and geographical factors might impact the fire danger and spread. The percentage of fire-resistant building types as building characteristics and the distribution of building densities as regional characteristics were the primary factors used in this study to determine FFE risk. This study develops a decision-making methodology for risk management in the FFE. We use the single valued neutrosophic set (SVNS) to overcome uncertainty. …

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Neutrosophic Algebraic Structures For Precise Uncertainty Quantification In Outcome-Based Education Systems: A Rigorous Case Study Analysis, Mona Gharib, Imran Siddique, Miin Shen Yang Oct 2025

Neutrosophic Algebraic Structures For Precise Uncertainty Quantification In Outcome-Based Education Systems: A Rigorous Case Study Analysis, Mona Gharib, Imran Siddique, Miin Shen Yang

Neutrosophic Systems with Applications

Outcome-Based Education (OBE) emphasizes measurable learning results, yet the evaluation of professional talent training in physical education often involves uncertain, incomplete, or even contradictory indicators. Traditional assessment models are limited in capturing these indeterminacies. To address this challenge, we propose a novel neutrosophic algebraic framework that integrates neutrosophic probability, measure, and algebraic structures with OBE evaluation. This study introduces a neutrosophic evaluation framework that captures both determinate and indeterminate aspects of brand competitiveness. A case study on physical education professional training demonstrates how the proposed model captures hidden uncertainty and provides a more balanced assessment than classical methods. The results …

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Sustainable Assessing Cross-Border Renewable Energy Alliances Using Neutrosophic Numbers With Long-Term Energy Transition Planning, Kamal Alieyan, Amr A. Abd El-Mageed Oct 2025

Sustainable Assessing Cross-Border Renewable Energy Alliances Using Neutrosophic Numbers With Long-Term Energy Transition Planning, Kamal Alieyan, Amr A. Abd El-Mageed

Neutrosophic Systems with Applications

This paper proposes a decision-making methodology for Sustainable assessing cross-border renewable energy alliances. We used two decision-making methods such as Entropy and MABAC methods. Entropy method is used to compute the criteria weights. The MABAC method is used to rank the alternatives. Two methods are used under the neutrosophic number to solve uncertainty in the decision making. Three stages of the proposed approach are conducted. In the first stage, we compute the criteria weights. In the second stage, we rank the alternatives. In the third stage, we conducted the sensitivity analysis to show the stability of the ranks. The results …

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Neutrosophic Decision Making Methodology For Sustainable Diabetic Diet: Balancing Health And Environment, Rayan Hussein Oct 2025

Neutrosophic Decision Making Methodology For Sustainable Diabetic Diet: Balancing Health And Environment, Rayan Hussein

Neutrosophic Systems with Applications

Sustainable diabetic diet for balancing health and environment is a decision-making problem and contain uncertainty affect negatively in different decisions. So, this paper proposes a decision-making methodology with the neutrosophic set to solve uncertainty in this decision-making problem. We use the MOOSRA method to rank the alternatives. The criteria weights are computed using the average method. Case study with nine criteria and 16 alternatives are proposed for sustainable diabetic diet. The sensitivity analysis is conducted in this case study to show the stability of the ranks. Nine cases are proposed in this study. The results show the ranks of alternatives …

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Invisible Aircraft In U.S. Airspace: Regulatory Gaps And Mid-Air Collision Risk For Part 121 Operators, Philip Vandette Oct 2025

Invisible Aircraft In U.S. Airspace: Regulatory Gaps And Mid-Air Collision Risk For Part 121 Operators, Philip Vandette

International Journal of Aviation, Aeronautics, and Aerospace

Scheduled air carrier aircraft operate at large and small commercial airports across the U.S. National Airspace System. These turbine-powered aircraft fly at high speeds during departure and approach, yet many commercial airports are not covered by regulations requiring general aviation aircraft to transmit their positions, and some remain exempt from existing requirements. This regulatory gap forces airline pilots to rely on see-and-avoid methods that are impractical at turbine aircraft speeds. This study conducts a quantitative exploratory analysis of three data sources, using a PRISMA-style flow diagram, to examine the frequency of near mid-air collisions involving airline and general aviation aircraft …

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A Rock Engineering System Model For Predicting Fragment Size Of Muck-Pile Using Geometric Parameters And Rock Mass Properties, Patrick Adeniyi Adesida, Victor Abioye Akinbinu, Babatunde Adebayo Oct 2025

A Rock Engineering System Model For Predicting Fragment Size Of Muck-Pile Using Geometric Parameters And Rock Mass Properties, Patrick Adeniyi Adesida, Victor Abioye Akinbinu, Babatunde Adebayo

Journal of Sustainable Mining

This study aimed to evaluate rock fragmentation risk indexes and develop a predictive model for the median size of fragment (X50) using the Rock Engineering System (RES). The methodology includes the analysis of 15 significant parameters of rock properties and blast design, which are considered to be important to rock fragmentation from 30 selected blast sites. These parameters include rock type, hardness, blast-hole diameter, charge weight, blast pattern, and others that control fragmentation results. Statistical analysis was performed to validate the RES-based model developed from these parameters. The model exhibited a strong predictive capacity, evidenced by a …

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Shifted Frequency Analysis Hybrid Simulation Algorithm Based On Multi-Rate Asynchronous Coordination, Yankan Song, Libin Wen, Ying Chen, Jinji Xi, Haoyuan Zhang, Li Xiong Oct 2025

Shifted Frequency Analysis Hybrid Simulation Algorithm Based On Multi-Rate Asynchronous Coordination, Yankan Song, Libin Wen, Ying Chen, Jinji Xi, Haoyuan Zhang, Li Xiong

Journal of System Simulation

Abstract: Large-scale AC/DC power systems exhibit complex dynamics across multiple time scales, and existing hybrid simulations suffer from interface delays and frequency losses during multi-rate coordination, compromising accuracy. To address this issue, a multi-rate asynchronous coordination method was proposed to construct hybrid simulations using shifted frequency analysis (SFA). Within the multi-area Thevenin equivalence (MATE) framework, the algorithm introduced an interpolation-based asynchronous coordination mechanism, effectively eliminating interface delays; by extending SFA theory and designing a universal interface model, it achieved lossless data exchange between partitions with different rates and model types. Case studies on an AC/DC test system demonstrate that …

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Soft Sensor Modeling Based On Improved Transformer In Dual-Stream Framework, Hao Gu, Jiayu Wang, Weili Xiong Oct 2025

Soft Sensor Modeling Based On Improved Transformer In Dual-Stream Framework, Hao Gu, Jiayu Wang, Weili Xiong

Journal of System Simulation

Abstract: Industrial process information is highly nonlinear and dynamic, with long-term dependencies between data, making it difficult to adequately extract time-series features. To address this issue, an improved Transformer-based soft sensor model in a dual-stream framework was proposed. The data were segmented and expanded. The features were extracted in parallel using a dual-stream structure combining a convolutional neural network with a self-attention mechanism and the improved Transformer model. The dual-stream features were fused for soft sensor regression. Residual connections were further introduced to accelerate the convergence speed of the model, and an orthogonal random features-based improved multi-head attention mechanism was …

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Path Planning Of Improved Rrt Algorithm Based On Deep Reinforcement Learning, Xiuman Liang, Ziliang Liu, Zhendong Liu Oct 2025

Path Planning Of Improved Rrt Algorithm Based On Deep Reinforcement Learning, Xiuman Liang, Ziliang Liu, Zhendong Liu

Journal of System Simulation

Abstract: To address the low planning efficiency, poor safety, and limited practicability of the RRT algorithm in global path planning within complex three-dimensional environments, which fail to meet the requirements of planning the safe flight path of UAVs, an improved SAC-RRT algorithm was proposed, which fused SAC deep reinforcement learning algorithm and RRT algorithm. A target point bias strategy and a dynamic step size based on the SAC decision-making network were designed to reduce the blindness of RRT. A random point correction process was designed to optimize the position of random points based on actions from the decision network and …

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Low-Energy Multi-Robot Path Planning Algorithm Under Hca* Framework, Ning Wang, Jianlin Mao, Dayan Li, Chengyuan Fang, Chengze Qian Oct 2025

Low-Energy Multi-Robot Path Planning Algorithm Under Hca* Framework, Ning Wang, Jianlin Mao, Dayan Li, Chengyuan Fang, Chengze Qian

Journal of System Simulation

Abstract: To address the energy optimization problem in multi-robot path planning, this paper proposed a multi-robot path planning algorithm based on the energy-guided hierarchical cooperative A* (E-HCA*) algorithm. To address the issue of robot oscillations caused by mutual avoidance at bottlenecks and narrow passages in multi-robot systems, a node expansion method with path length as a secondary feature was introduced, and a greedy suppression strategy under the cooperative A* framework was proposed. A differential-drive robot energy consumption model was established, and an energy-guided heuristic function was constructed by integrating energy metrics into the underlying A* algorithm to guide low-energy path …

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Multi-Objective Optimization Of Signal Timing At Intersections Considering Tailpipe Emissions, Xinhuan Ding, Huaqing Wang, Xu Dang Oct 2025

Multi-Objective Optimization Of Signal Timing At Intersections Considering Tailpipe Emissions, Xinhuan Ding, Huaqing Wang, Xu Dang

Journal of System Simulation

Abstract: In order to alleviate urban road congestion and improve the traffic and environmental benefits at intersections, a multi-objective timing optimization model with total delay time, total number of stops, capacity, and total tailpipe emission at intersections as optimization objectives was developed. The model incorporated tailpipe emissions into a mathematical optimization model and quantified the mathematical relationship between traffic efficiency indicators and tailpipe emissions by constructing a specific power-based algorithm for measuring total tailpipe emissions. According to the intersection delay time and the number of stops, the total tailpipe emissions could be estimated. Both the NDX crossover operator and the …

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Multisource Information Fusion Method For Human Gait Perception, Guiliang Chen, Guowei Liu, Yongchao Li, Chao Cai, Zihao Li, Dong Yang Oct 2025

Multisource Information Fusion Method For Human Gait Perception, Guiliang Chen, Guowei Liu, Yongchao Li, Chao Cai, Zihao Li, Dong Yang

Journal of System Simulation

Abstract: In response to the insufficient gait perception capability during lower limb exoskeleton assistance, a human lower limb gait phase optimization classification model was proposed. A wireless transmission gait information collection system was designed for collecting the required gait phase feature information. Human joint angles were accurately calculated by fusing acceleration and angular velocity information using extended Kalman filtering. Additionally, kernel principal component analysis was applied to reduce dimensionality in conjunction with plantar pressure data. The LSSVM algorithm was employed to classify gait data, and the PSO algorithm was utilized to find the optimal classification parameters. Experimental results demonstrate that …

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Optimal Scheduling Of Integrated Energy Systems Considering Source-Load Uncertainty And Linear Carbon Trading, Huaping Zhong, Yubo Fan, Jijun Shui, Danhao Wang, Daogang Peng Oct 2025

Optimal Scheduling Of Integrated Energy Systems Considering Source-Load Uncertainty And Linear Carbon Trading, Huaping Zhong, Yubo Fan, Jijun Shui, Danhao Wang, Daogang Peng

Journal of System Simulation

Abstract: In order to overcome the impact of source-load uncertainty on the scheduling of integrated energy systems (IES) and reflect the flexibility of the carbon trading price with the change in trading volume, an optimal scheduling method for integrated energy systems considering source-load uncertainty and linear carbon trading was proposed. The equipment within the IES was modeled, and nonparametric kernel density estimation was used to obtain the probability density function for each time period, generating the set of scenes through Monte Carlo simulation and calculating the probability of each scene. For the time shift of wind and solar output peaks …

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Simulation Of Three-Degree-Of-Freedom Internal Mode Sliding Mode Control For Non-Ideal Single-Inductor Dual-Output Boost Converter, Bingli Liu, Jiarong Wu, Lin Yang, Dinglin Yan Oct 2025

Simulation Of Three-Degree-Of-Freedom Internal Mode Sliding Mode Control For Non-Ideal Single-Inductor Dual-Output Boost Converter, Bingli Liu, Jiarong Wu, Lin Yang, Dinglin Yan

Journal of System Simulation

Abstract: To reduce the cross-interference in the single-inductor dual-output (SIDO) Boost converter and to enhance the output accuracy and stability of the system, the parasitic resistances of the circuit components were considered, and a three-degree-of-freedom internal model sliding mode control strategy was proposed for the non-ideal SIDO Boost converter. An affine nonlinear mathematical model of the non-ideal SIDO Boost converter was established, and the nonlinear system was linearized and decoupled into two linear subsystems based on the differential geometry theory. The linear subsystem was designed as a three-degree-of-freedom internal model controller and a sliding mode controller, respectively. The robustness …

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An Improved Virtual Terrain Generation Method Based On Simplex Noise, Bo Shen, Jianqin Zhang, Shuaibao Ma, Zheng Wen Oct 2025

An Improved Virtual Terrain Generation Method Based On Simplex Noise, Bo Shen, Jianqin Zhang, Shuaibao Ma, Zheng Wen

Journal of System Simulation

Abstract: To address the issues of high computational complexity, slow generation speed, and insufficient realism present in traditional virtual terrain generation methods, this study proposed an improved virtual terrain generation method based on Simplex noise. This method leveraged the advantages of Simplex noise, such as high computational efficiency, low hardware overhead, and more natural randomness, to construct a basic terrain template. A fractal algorithm was introduced to enhance the level of terrain details through the superposition of noises with multiple frequencies and amplitudes. With the integration of a turbulence algorithm, random perturbations and complexity were added to further improve the …

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Research On Constrained Programming Of Manipulator Using Rrt* Algorithm And Ellipse Prior, Zhen Yang, Li Su, Zhiyu Cheng Oct 2025

Research On Constrained Programming Of Manipulator Using Rrt* Algorithm And Ellipse Prior, Zhen Yang, Li Su, Zhiyu Cheng

Journal of System Simulation

Abstract: There are problems in the traditional RRT* algorithm using a uniform sampling strategy applied in constrained programming problems, such as inaccurate turning guidance of sampling points and unnecessary node cost comparisons, which lead to an increase in additional time costs. To address these issues, an improved RRT* algorithm was proposed. This algorithm leveraged a heuristic function cost of the projected sampling points to make an ellipse prior judgment on the sampling points. Based on the ellipse prior, the sampling points were judged to determine whether they could optimize the path and shorten the programming time. The geodesics were used …

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Robust Identification Of Dual-Rate Sampled Nonlinear Systems Based On Salr Network, Wenbin Jiang, Yuqing Cao, Li Xie, Huizhong Yang Oct 2025

Robust Identification Of Dual-Rate Sampled Nonlinear Systems Based On Salr Network, Wenbin Jiang, Yuqing Cao, Li Xie, Huizhong Yang

Journal of System Simulation

Abstract: A robust identification algorithm based on the self-join adjacent-feedback loop reservoir (SALR) network was proposed for dual-rate sampled nonlinear systems with complex nonlinear characteristics and measurement outputs containing outliers. The SALR network was applied to describe the nonlinear characteristics of the target system, and wavelet neurons were injected into the reservoir to enhance its memory and nonlinear description capabilities. The identification problem of the nonlinear system was transformed into the identification problem of the network's output weight matrix. The Huber loss function was used to construct the criterion function, and an error threshold was introduced to improve the robustness …

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