Development Of Simulation Model Research Articles

МОДЕЛИ НЕЗАЯВЛЕННЫХ ИСКОВ В СИСТЕМЕ ОБЩЕГО СТРАХОВАНИЯ

In this work we study linear and nonlinear models of the expected number of unreported claims by the end of a fixed period with a fixed and randomized probability of claims to be reported. According to the developed simulation models, the models with random probability more qualitatively describe the actual data on the occurrence of insured events.

Modeling of the curvilinear motion of a vehicle with all steer wheels

Developed simulation model of the curvilinear motion of the two-axial wheel carrier with all steer wheels. The model includes the motion of the wheel carrier’s center of mass with respect to the moving coordinate system, the matrix of the directional cosines for the transition from a moving to the fixed coordinate system, the bearing and running module for the determination of the reactions in the flat spot of the wheel tire with the bearing surface area, and the mechanism for turning steer wheels. The aim is to study vehicle steerability and dexterity of the two-axial wheel carrier with all steer wheels via modeling in the MATLAB Simulink. Parameters obtained show the application effectiveness of the steering control with all steer wheels for the two-axial wheel carrier. Results obtained can be applied to the constructional design of a vehicles for the determination of the optimal parameters of a steering configuration. Developed simulation model of the vehicle can become a basis for the modeling of vehicles’ motion equipped with the control system of the air pressure in tires, track-type module, adaptive undercarriages with the robotic operating system, etc.

Анализ качества функционирования квадратурных приемников с нелинейной обработкой сигналов АЛСН в условиях воздействия флуктуационной помехи

The fight against interference in channels of continuous automatic locomotive signaling (CALS) remains an urgent task. The article examines the functioning of quadrature receivers with nonlinear processing of CALS signals under the influence of fluctuation interference. The performance quality of the receivers was analyzed using previously developed simulation models using experimentally obtained data. The research results showed that the quadrature receiver and its implementation options with the addition of nonlinear signal conversion blocks are more resistant to the effects of fluctuation interference than a receiver with linear amplitude detection and they are safer in operation.

Design and Development of Bidirectional Converter based on V2G and G2V Operation

The rapid progression of electric vehicles (EVs) in the transportation sector poses a potential challenge of increased peak energy demand on existing grid structures. Consequently, the significance of V2G power conversion technology becomes paramount in managing sudden surges in energy requirements. To address this issue, the authors propose a “Bidirectional Converter Based on V2G and G2V Operation” which focuses on facilitating energy transfer between vehicles and the grid through bidirectional converters, catering to both V2G and G2V operations. In this work, the authors analyzed a bidirectional buck-boost converter interface with an H bridge AC/DC converter together with the related control method in a reduced topology. The efficiency of the developed system is evaluated with the help of a developed simulation model in MATLAB/SIMULINK. The developed model was tested under various conditions and was able to perform effectively.

Integrating the Bi-dimensional-GSOM traffic flow interfaced models with a macroscopic emission model for very large-scale traffic networks

In this study, a coupled macroscopic traffic models and pollutant emission model for a very large-scale traffic networks is proposed. In order to overcome the missing data for large networks a continuum traffic modeling is developed aiming at simulating traffic of very large and dense networks. The present paper aims to merge both macroscopic traffic models (i. e. the Bi-dimensional model, BIDIM) with the generic second order model (GSOM) using real data. These two models will be associated with an emission model. The method consists of proposing an interface node model to ensure the exchange between the BIDIM and the GSOM traffic model. Then a vehicle emission model COPERT was adopted to provide the emission factors based on average speeds, in order to calculate macroscopic emissions for large networks. The dynamic of the developed simulation model reproduces the propagation of the congestion between both models and the evolution of emission pollutant in the networks. Applied to real networks, Marne La Vallée site and the A4 highway in France, the output results are very promising.

Development of a Building Simulation Model for Indoor Temperature Prediction and HVAC System Anomaly Detection

In order to reduce global energy consumption, energy-efficient, green and smart buildings have to be built. In addition to the application of other energy efficiency measures, an effective management of HVAC systems is required. High quality management and control of these systems ensures optimal occupant comfort levels, proper operation, rational energy consumption, and a positive impact on the environment. This is especially important for large buildings with complex systems such as hotels. As a contribution to the creation of appropriate tools for the management and control of HVAC systems in smart buildings, this paper presents the results of the current development of a detailed dynamic simulation model based on data collected from a smart room system in a hotel in Zagreb, Croatia. The smart room system, which is integrated into the hotel's building management system, provides historical data on set and current room temperatures, room occupancy schedule, window opening, fan coil operation status, fan rotation speed, valve opening, and operating mode with a time step of 5 minutes. The simulation model based on the TRNSYS software uses a part of the available data and calculates the current internal room temperatures. A comparison of the predicted and measured temperatures at each time step showed that the deviations are within the acceptable limits. The final objectives of the model development are the identification of anomalies in the operation of the HVAC system and the optimization of its operation with the aim of reducing energy consumption.

Development of a Numerical Simulation Model for Continuous Floating Cryopreservation of Red Blood Cell Concentrate

Development of a Numerical Simulation Model for Continuous Floating Cryopreservation of Red Blood Cell Concentrate

Techno-economic analysis of a hydrogen fuel cell hybrid system and corresponding optimum matching design for hydrogen fuel cell forklifts

Conventional forklifts face serious issues, with internal combustion engine models causing indoor pollution, and lead-acid battery variants having slow charging and reduced power output as the charge diminishes. To address these drawbacks, this paper introduces a 2.5-tonne fuel cell forklift designed for Hong Kong's bustling logistics, warehousing, and transportation needs. It presents the development of dynamic simulation and cycle condition models, incorporating life cycle cost and average efficiency functions. Simulations reveal that selecting a 50-cell stack (rated at 11.8 kW) is the most cost-effective option, reducing hydrogen consumption by 2.3% using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) optimisation. Cycle conditions do not alter the stack's optimal working voltage. However, the stack's voltage is influenced by stack and hydrogen prices, requiring an optimal design based on Hong Kong's actual costs. This study provides a theoretical foundation for future fuel cell forklift design through techno-economic analysis.

Влияние заполнения прослоек малотеплопроводными газами на тепловую защиту оконных блоков с экранами

ISPU scientists have developed energy-saving constructions of window units with heat-reflecting screens, have tested them in a climate chamber, and have carried out simulation modeling of the heat transfer process through these constructions. Despite a large number of scientific papers that consider experimental laboratory studies and numerical simulation of heat transfer processes through translucent constructions, there is no data on the effect of the application of low thermal conductivity gases in the gaps formed by glass and metal elements on increasing the thermal protection of window units with screens. The correct calculation of the reduced heat transfer resistance of window units with screens and low-thermal conductivity gases affects the correctness of the heat balance for premises and, consequently, the quality of the design of energy systems to ensure the indoor microclimate. Thus, the development of models of heat transfer process through a window unit with screens is an urgent task to ensure the indoor microclimate. Simulation numerical modeling is carried out using the finite element method based on the fundamental laws of heat transfer. The authors have developed a two-dimensional simulation model of heat transfer through a window unit with heat-reflecting screens, in which the gaps between the glass and aluminum foil are filled with argon and krypton. The distribution of resistance to heat transfer along the height of a translucent enclosing structure has been studied. The adequacy of the proposed simulation model is confirmed by comparison with data of other scientists and regulatory documentation. Filling the gaps between glass and metal foil with argon makes it possible to increase the zonal heat transfer resistance of a window unit with screens in relation to the base-case scenario (air) by 6–23 %, krypton by 8–58 % (depending on the measurement location and the number of screens). The application of the developed simulation model will make it possible to more accurately determine the potential to use heat-reflecting screens in windows for intermittent heating systems of buildings.

A strategy for modelling sediment distribution along slope lengths of an ephemeral gully through the simulated scouring experiments

Accurately describing the soil erosion process is crucial for improving the accuracy of existing simulation models of ephemeral gully erosion. However, a laboratory experimental strategy for simulating sediment distribution along slope lengths of an ephemeral gully is lacking. This limitation greatly hinders the development of simulation models for ephemeral gully erosion. In this study, we constructed six soil flumes with 12 m in length, 0.1 m in width, and 0.5 m in depth, which were filled with cultivated loess soils. Four flow rates (5.33, 10.67, 21.33, and 42.67 × 10−3 m3 s−1 m−1), four slope gradients (5°, 10°, 15°, and 20°), and six gully lengths (2, 4, 6, 8, 10 and 12 m) were adopted to perform a series of laboratory scouring experiments. The measured sediment concentrations at the outlet ranged from 23.39 kg m−3 to 534.60 kg m−3. The trend of exponential increase in sediment concentrations along slope lengths of an ephemeral gully was similar to that observed in a rill. According to the fitting equation, the maximum sediment concentrations (Ae) ranged from 358.05 kg m−3 to 910.88 kg m−3. The attenuation coefficients (Be) indicated the rate of increase in sediment load with slope length, which ranged from 0.042 m−1 to 0.185 m−1. By combining the measured sediment loads along the slope length (8 m) with the sediment transport capacity, the sediment distribution along slope lengths of an ephemeral gully could be accurately quantified. Moreover, the results confirmed that a flume with a short slope length (4/6 m) could effectively determine the sediment distribution along slope lengths at gentle slope of 5° and 10°. However, a minimum length of 8 m was advisable at steep slope of 15° and 20°. In summary, our experimental strategy provides an efficient method for determining the sediment distribution along slope lengths of an ephemeral gully.

Development of Multi-Physical Simulation Models for Quasi-Static Load Analysis to Predict the Behavior of Li-Ion and Na-Ion Batteries Under Different Mechanical Abuse Loadings

There are lot of studies on understanding the short-circuit phenomena at cell component level and how to address the thermal management at module and pack level to avoid overheating. However, it is also very important, in terms of safety, to evaluate the response and failure of cells during abuse tests as this can promote the thermal runaway event. Safety of metal ion batteries under mechanical loadings is currently one of the most challenging and urgent issues face in the Electric Vehicle (EV) industry. In the battery manufacturing community, the property of strength and resistance of batteries to external loading has never been a design consideration. However, under local mechanical loading, batteries are prone to developing a internal short circuit (ISC), which may lead to the generation of smoke, fire, and possible explosion.This work is focused on the metal ion batteries safety studies (lithium and sodium) including the investigation of predictive models to determine the critical parameters that would lead to potential failure and provide critical insights to understand the mechanical and ISC behaviors of cells under mechanical abuse. Having a numerical model that correctly represents the cells and its response under different abuse tests could allow identifying main issues and helping on the cell design and chemistries to be used. To develop these models using LS-Dyna, it has been necessary to carry out studies of mechanical deformation on cell components and the complete cells. These studies have offered a better knowledge of the deformation of the inner components of the battery, being useful to identify the mechanism that initiate short circuits under mechanical misuse conditions. Building numerical models for batteries requires experimental work that provides not only the data for mechanical behavior of individual components (anode, cathode, separator, etc.), but also validation data for simulations of internal short circuit induced by mechanical abuse. Figure 1

Исследование технологии добычи угля в сложных горно-геологических условиях с использованием математического моделирования

Future development of mining operations along with creation of new mines, will be supported by modernization and reconstruction of existing enterprises. Creation of mechanized coal face systems that ensure complete extraction of coal reserves with the supply of occupational safety is prospective. One of the most effective technologies for the development of high coals is their mining from wall to wall with drawing coal from the roof layer into the under-cutting layer. Research of a new design of mechanized support was carried out using the developed simulation model based on the discrete elements method in the Rocky DEM environment. The amount of coal losses remaining in the mined-out space is determined. The opportunity of using the developed model is demonstrated for analyzing the flows of the coal-bearing mass in the implementation of the technology of coal mining from high flat-lying coal seams to identify new patterns and ways to improve the efficiency of the technology before its implementation in coal mines.

Development and optimization of simulation models and methods for controlling virtual artillery units in game scenarios

In the realm of modern video game development, special attention is given to the simulation of artillery systems, which play a crucial role in various military-themed games. This research presents a mathematical model for simulating the actions of a virtual artillery system. The model is designed to manage the execution of combat tasks, including targeting destruction with a specified number of shells and incorporating the strategic movement between firing positions to minimize detection and attack by enemy forces in the game. The model presumes that all shots are effective and equates the number of firing positions to the number of shots, with a minimum of one shot per position. The model's dynamics do not allow for returning to previous positions, adding a layer of complexity and realism to the gameplay. Movement simulations between positions are designed along virtual roads of varying quality, enhancing the strategic elements of the game. A method for determining the optimal strategy for the artillery system's actions has been developed, introducing the concept of the current structure of combat task execution. This problem-solving approach falls within the realm of Pareto-oriented tasks or dynamic programming challenges. The computational method of the model is based on a general algorithm, underpinned by specialized additional algorithms. Results from this model demonstrate the feasibility of completing combat tasks effectively, with a maximum of two shots per firing position. The research differentiates between defensive and offensive tactics in gameplay, suggesting that while a strategy involving ten shots per target aligns with defensive gameplay, a strategy with four shots per target aligns with offensive actions. Consequently, the "shot-and-scoot" tactic in an offensive context can be aptly termed as “hid-and-shot”.

Development, Validation, and Application of Building Energy Simulation Models for Livestock Houses: A Systematic Review

The need to improve the sustainability of intensive livestock farming has led to an increasing adoption of Building Energy Simulation (BES) models for livestock houses. However, a consolidated body of knowledge specifically dedicated to these models is lacking in literature. This gap represents a significant obstacle to their widespread application and scalability in research and industry. The aim of this work is to pave the way for scaling the adoption of BES models for livestock houses by providing a comprehensive analysis of their application, development, and validation. For this aim, a systematic review of 42 papers—selected from over 795 results from the initial database query—is carried out. The findings underscored a growing body of research that involves BES models for different purposes. However, a common approach in both model development and validation is still lacking. This issue could hinder their scalability as a standard practice, especially in industry, also considering the limitations of BES models highlighted in this work. This review could represent a solid background for future research since provides an up-to-date framework on BES models for livestock houses and identifies future research opportunities. Moreover, it contributes to increasing the reliability of BES models for livestock houses by providing some recommendations for their validation.

Development of a Numerical Simulation Model to Support the Design of a Ship–Satellite Communication System for Autonomous Marine Navigation

In recent years, the concept of autonomous navigation systems has gained substantial significance, with the potential to change the traditional concept of autonomous navigation. The presented numerical simulation investigates the feasibility of a ship’s autonomous navigation system through a laser communication infrastructure handled by a two-degrees-of-freedom (DoFs) acquisition, tracking and pointing (ATP) system able to enable ship–satellite data transmission. The methodology introduced presents the geometrical and kinematic delineation of the model, coupled with the implemented control system, aimed at assessing the pointing accuracy. The minimum requested pointing accuracy is 100 µrad and the analysis highlights the need of using methodologies to reduce the pointing error. Two approaches are investigated to examine a possible improvement of the system, and results show that the pointing phase is influenced less by ship motions and more by errors that occur during the satellite’s positioning and the ship motion acquisition process. A trade-off in choosing parameters to improve the system’s accuracy leads to a satellite’s first targeting time of 0.25 s alongside the probability of hitting the target once every 0.0013 s. The reliability of the system is evaluated through a brief sizing of the optical electromechanical component of the system using the trade-off parameters chosen to improve the pointing phase accuracy.

A new defrosting model for microchannel heat exchanger heat pump system considering the effects of drainage and water retention

Microchannel heat exchangers (MCHX) have been widely used in heat pump systems due to their advantages of higher efficiency and lower refrigerant charge. However, when the MCHX heat pump system works under defrosting conditions, there are problems of poor defrosting performance and long defrosting time. To study the transient characteristics of the MCHX heat pump system during defrosting, a new defrosting model was developed. The defrosting process was divided into five stages based on the variation characteristics of the frost thickness and the water film. The drainage stage was first proposed in the defrosting model to consider the influence of melted frost. In addition, the impact of retained water was also assessed in the dry heating stage. The deviation of the model and experimental data is within the acceptable range, and the transient characteristics can be accurately predicted. The visualization of the frost melt showed that defrosting was an uneven process from the top down, and the frost layer was almost completely melted at 250 s. In this study, indoor air supplied the most energy at 68.8 %. Furthermore, melting frost consumed the largest amount of energy at 33.7 %, and heating ambient air consumed the second largest amount of energy at 29.1 %. Metal energy storage (MES) had a negative impact of −7.5 % on defrosting efficiency due to a large amount of energy required to heat MCHX. Moreover, the negative influence of frost melt water and retained water on defrosting efficiency was −9.5 % and −1.9 %, respectively. It can be concluded that the key measure to improve the defrosting performance of MCHX is to reduce the effect of melted frost. This work can provide helpful insights into the defrosting simulation model development of MCHX and guide defrosting strategy optimization.

Simulation model of a vehicle in the Simulink environment for determining fuel consumption in driving cycles

BACKGROUND: The paper shows that the problem of determining objective indicators of fuel consumption in operation based on calculation methods remains relevant. One of these methods is simulation modeling. Current state of computer technology significantly simplifies building of system simulation models, for example, using the Simulink software by Mathworks. In the process of model development, it is necessary to keep the balance of generalization and detailing, since excessive detailing leads to an unreasonably deep consideration of individual elements of the system and to a significant increase in simulation time.
 AIMS: Search for a reasonable structure of model of the driver car environment system, which makes it possible to simulate the car in driving cycles or other driving scenarios.
 METHODS: The MATLAB/Simulink simulation environment was used in the study. Based on the analysis of the car design and the capabilities of individual Simulink tools, a block diagram to study fuel consumption using the example of a passenger vehicle was synthesized. The obtained model was debugged for the stable motion simulation of the vehicle in various driving cycles using graphical analysis.
 RESULTS: The obtained results show that the developed system simulation model is well behaved. Control systems ensure the vehicle motion according to the mixed driving cycle modes in compliance with the required tolerances. It is possible to register fuel consumption and other simulation results of interest.
 CONCLUSIONS: The model showed the relative simplicity of setting up and the ability of quick update for other vehicles. A minimal amount of vehicle data is required to bring the model to an operable condition. Particular unknown parameters are supposed to be refined using identification methods.

Помехоустойчивость многопользовательских систем MIMO при неидеальной оценке канала и других искажениях

The technology of multi-antenna MIMO (Multiple Input Multiple Output) systems is actively used in modern wireless communication systems. MIMO can enhance the performance of wireless data transmission systems, but their effectiveness depends on the transmission conditions. Ideal conditions are represented as a channel with a large number of possible signal propagation paths and an error-free estimation of its parameters. The estimation error significantly affects the performance of the beamforming algorithms used to mitigate inter-user interference in multi-user MIMO (MU-MIMO) systems. Spatial correlation of the channel results in a decrease in the number of independent information transmission streams. These factors can significantly reduce the performance of multi- antenna systems. For this reason, operating MIMO communication systems under non-ideal conditions is a topical issue. The paper examines the performance of various beamforming algorithms in such conditions. It describes the communication systems with MIMO, beamforming algorithms, and distorting effects. The paper includes a developed simulation model of the communication channel with MU-MIMO accounting for a variety of distorting factors. The results demonstrate the bit-error probability dependences for different simulation scenarios.

Energy Management and Networking for Sensor-based Transmission Line State Monitoring

The transmission line condition monitoring sensor network is large in scale and difficult to maintain. Its long-chain network topology differs from general wireless sensor networks, so it is necessary to develop a self-organizing sensor network with self-energy harvesting. In this regard, a three-layer network model is designed. Three types of node models are constructed. The sensor nodes implement round-robin sleep/wake and energy management mechanisms, powered by self-harvested energy. Additionally, reliable routing between nodes is established. Simulation results show that the developed simulation model is suitable for the application of transmission line condition monitoring. The expected functions of each module have been realized, and the stable and reliable transmission of perceived data of key components of transmission lines has been achieved, thereby providing technical and data basis for the deployment of practical networks.

Development and application of simulation modelling for orthopaedic elective resource planning in England

ObjectivesThis study aimed to develop a simulation model to support orthopaedic elective capacity planning.MethodsAn open-source, generalisable discrete-event simulation was developed, including a web-based application. The model used anonymised patient records...