Application Of Simulation Method Research Articles

Managing the kinetic energy of descending greywater in tall buildings and converting them into a valuable source

Harnessing energy from descending greywater (GW) in tall buildings (TBs) is an innovative concept that combines water management with renewable energy generation and applying simulation methods. This study proposes a novel approach to enhancing sustainable energy recovery in TBs by capitalizing on the kinetic energy inherent in descending GW. Greywater, derived from non-toilet fixtures such as showers, bathroom sinks, and washing machines, offers a readily accessible source of potential energy due to its gravity-driven flow through the plumbing system. This gravitational potential energy could feasibly be converted into useable electricity through the incorporation of specialized energy-recovery mechanisms, such as turbines, hydroelectric generators, and piezoelectric devices. The study addresses the technical, economic and environmental aspects of implementing this idea in TBs. It describes the challenges of system integration, maintenance requirements and adherence to regulatory standards, as well as the potential benefits in terms of water conservation and reduced reliance on conventional energy sources, through a comprehensive analysis encompassing modeling, experimental validation and feasibility assessments. The research offers insights into the potential viability of harnessing downward-flowing GW as an alternative and sustainable green energy resource.

Simulating surveys for graduate researcher development.

Recognizing the value of experiential education in social/behavioral science research training, we designed and offered a simulation of a survey research project for doctoral students in education. Through three phases of the project, from instrument design through scale investigation and quantitative analyses, students are developed as researchers in a realistic and authentic way. In this paper, we highlight the advantages, challenges, and outcomes from applying simulation methods within graduate research methods courses, with a specific focus on survey methodology and quantitative skill development.

Application of Neural Network Models with Ultra-Small Samples to Optimize the Ultrasonic Consolidation Parameters for 'PEI Adherend/Prepreg (CF-PEI Fabric)/PEI Adherend' Lap Joints.

The aim of this study was to optimize the ultrasonic consolidation (USC) parameters for 'PEI adherend/Prepreg (CF-PEI fabric)/PEI adherend' lap joints. For this purpose, artificial neural network (ANN) simulation was carried out. Two ANNs were trained using an ultra-small data sample, which did not provide acceptable predictive accuracy for the applied simulation methods. To solve this issue, it was proposed to artificially increase the learning sample by including additional data synthesized according to the knowledge and experience of experts. As a result, a relationship between the USC parameters and the functional characteristics of the lap joints was determined. The results of ANN simulation were successfully verified; the developed USC procedures were able to form a laminate with an even regular structure characterized by a minimum number of discontinuities and minimal damage to the consolidated components.

Performance analysis and comparison study of liquid cooling-based shell-and-tube battery thermal management systems

To meet the temperature control requirements of lithium-ion batteries (LIBs) under high rate discharge conditions, this study designed two structurally similar shell-and-tube battery thermal management (BTM) schemes, namely air-cooled/liquid cooled coupling scheme and phase change material (PCM)/liquid cooled coupling scheme. By applying simulation methods to analyze and compare the battery temperature control performance of two schemes under different working conditions, and adopting structural optimization and heat dissipation strategies to decrease the maximum temperature and temperature difference of the battery. It can be concluded that the maximum temperature of the batteries in both cooling schemes remains below 333 K after the number of baffle plates is increased from 2 to 6 during 5C discharge. Among them, the PCM/liquid cooling scheme demonstrates superior temperature control capabilities. However, the air cooling/liquid cooling scheme can also effectively reduce the temperature difference of the battery pack to 4.7 K by frequently switching the ventilation direction. The temperature difference of the battery can be further reduced by enhancing the thermal conductivity of composite phase change materials (CPCM). It is worth noting that increasing the liquid cooling flow rate to 2.5 m/s no longer improves the cooling effect of the battery. Additionally, during each discharge stage of cyclic charging and discharging, intermittently turning off the water pump for 9 min results in the battery exhibiting favorable temperature cycling characteristics.

A Mathematical Solution to the Computational Fluid Dynamics (CFD) Dilemma

Turbulent flows of practical relevance are often characterized by high Reynolds numbers and solid boundaries. The need to account for flow separation seen in such flows requires the use of (partially) resolving simulation methods on relatively coarse grids. The development of such computational methods is characterized by stagnation. Basically, only a few methods are regularly applied that are known to suffer from significant shortcomings: such methods are often characterized by the significant uncertainty of the predictions due to a variety of adjustable simulation settings, their computational cost can be essential because performance shortcomings need to be compensated by a higher resolution, and there are questions about their reliability because the flow resolving ability is unclear; hence, all such predictions require justification. A substantial reason for this dilemma is of a conceptual nature: the lack of clarity about the essential questions. The paper contrasts the usually applied simulation methods with the minimal error simulation methods presented recently. The comparisons are used to address essential questions about the required characteristics of the desired simulation methods. The advantages of novel simulation methods (including their simplicity, significant computational cost reductions, and controlled resolution ability) are pointed out.

THE STUDY OF STRESS-STRAIN STATE ELEMENTS OF THE TRUCK SEMI-TRAILER BODY BOTTOM

Research on the influence of geometric parameters of body bottom elements on the stress-strain state (SSS) of the truck with the general application of computer simulation methods was conducted. The nature of the change in static stress and displacement depending on the change in the proportions of the cross-section of the channel at fixed geometric dimensions of the workpiece and the thickness of the workpiece and the bottom material of the body has been studied. Analytical, numerical and experimental methods were used in the study of the stress-strain state of the metal structure of car bodies. Its weight minimization is an important aspect of a truck body design. Because an excess weight leads to increased production costs, reduced payload and reduced fuel efficiency. According to the concept of weight reduction with the provision of a given strength, the body model with variable parameters of the bottom elements is modelled and analyzed. CAD - body models and analysis of the stress-strain state of the channels of the bottom of the bodies have been performed using the software package SolidWorks.

Simulation Method: A Breakthrough to Improve Understanding of Fiqih Materials

The purpose of this study was to identify and analyze the application of simulation methods in Fiqh Learning for students at MAN Purwakarta, which included the application of simulation methods in fiqh learning for students, the process of simulation methods carried out by teachers, effective simulation methods used by teachers, using qualitative methods. In analyzing the data, the researcher used qualitative analysis techniques with the process of reducing data, presenting data and drawing conclusions. From the results of this study: That the application of the simulation method in learning fiqh to students at MAN Purwakarta is very effectively applied, because the application of the simulation method improves students' understanding and learning outcomes in fiqh learning. The simulation method is very effectively applied in fiqh learning, this is reflected in the attitude of students who are very enthusiastic about the application of simulation methods and the application of simulation methods in fiqh learning is more helpful for students in understanding the implementation of worship.

Application of simulation methods on vibration analysis of a bus driver seat using the quarter car 3DOF model subjected under harmonic excitation

Vibration of bus driver's seat subjected under harmonic excitation, 3DOF (3 degrees of freedom) dynamic model is employed to carry out the calculation by 3 simulation methods. Mathematical model - numerical using Matlab programming language (Numerical model), Multi Body Dynamics (MBD) using Matlab Simmechanics tool (MBD model) and finite element model using Ansys APDL (FEM model) are employed. The strengths and limitations of each method are analyzed through the process of building models and retrieving the resulting data. The evaluation indexes include the response of driver's seat acceleration, response of the seat suspension's relative displacement and the seat suspension's vibration isolation ability according to two investigated cases of natural frequency and damping ratio. The obtained results from all 3 methods have no difference and the evaluation indexes are suitable according to the studies on vehicle vibration response. The Numerical model method requires the user to perform complex mathematical modeling. The MBD model method using Matlab Simmechanics is simpler, using built-in function blocks, requiring declarations to establish the exact initial equilibrium position of the mass elements. The FEM model method using Ansys APDL with keypoints and lines describing the model elements requires precise setting of the displacement of each keypoint. However, both the MBD and FEM model methods are only effective when investigating the response in the time domain for a particular instance of the excitation frequency. When analyzing the response in the frequency domain, which requires accessing and synthesizing data of many cases in the investigated frequency range, these two methods have many limitations in the calculation process, specifically, in performing complex computations with many loops and variables. Solving problems also takes longer than numerical method using mathematical model. The obtained results are analyzed in the time domain, frequency domain, and the value domain of the driver's seat suspension parameters. This result serves as a basis for developing the design of the driver's seat suspension system with nonlinear spring and shock absorber, and the selection of a calculation method suitable for each problem in the field of vehicle vibration.

An Investigation of Best Measurement Conditions for Calculating Reading CBM Slope in Monitoring Progress for Students with Learning Disabilities: An Application of Simulation Method

학습장애분야에서 CBM의 기울기는 중재전략의 효과성을 평가하는 지표로 활용되고 있지만 CBM 기울기의 측정학적 적합성을 검증하는 연구는 여전히 충분치 않은 상황이다. 본 논문에서는 특별히 측정학적으로 적합한 CBM 기울기를 산출할 수 있는 측정조건을 조사하는 연구목적을 갖고 있었다. CBM 기울기를 산출하는 최적의 측정조건을 조사하기 위해서 본 연구에서는 2가지의 독립변인(오차의 크기와 측정횟수)과 4가지의 종속변인(신뢰도, 타당도, RMSE, MSE)을 각각 설정하였다. 본 연구의 분석결과에 따르면 측정학적으로 우수한 CBM 기울기를 산출하기 위해서는 오차가 적은 CBM 자료의 수집과 함께 최소 12주 이상의 측정주기가 필요한 것으로 나타났다. 끝으로 본 연구에서 도출한 연구결과의 시사점과 향후 연구주제를 논의하였다.

An analysis of operating profit margin: a valuable tool for New Zealand dairy farmers

Operating profit margin (OPM) is a well-supported and easily interpretable parameter from the DuPont framework for understanding firm performance. It has not been widely applied in the dairy industry, despite its role in driving profitability, resilience and debt serviceability in low subsidy export-oriented farming systems. We analyse the drivers of OPM in depth for the first time on New Zealand dairy farms. We utilise a 10-year panel dataset developed by applying simulation methods to sample and population data, giving a representative picture of the industry. We group farms into quartiles of their long-run OPM performance and perform non-parametric Games-Howell testing to investigate differences between the groups. We then estimate individual and time fixed effects panel regression models for the entire sample and each quartile separately to examine the factors driving changes in OPM over time. We add to the limited literature on the factors driving changes in OPM over time.

Application of Simulation Method and Regression Analysis to Optimize Car Operations in Carsharing Services: A Case Study in South Korea

A carsharing service is a form of public transportation that enables a group of people to share vehicles based at certain stations by making reservations in advance. One of the common problems of carsharing is that companies can have difficulty optimizing the number of vehicles in operation. This paper reports on investigations of the relationship between the number of cars and the number of reservations per day with either the acceptance ratio or utilization ratio based on the commercially-operational dataset of a carsharing company in Korea. A discrete event simulation is run to analyze a round-trip service for every possible number of cars and number of reservations with the output acceptance ratio and utilization ratio. The simulation data revealed that increasing the number of reservations with respect to a certain number of cars will decrease the acceptance ratio, thus increasing the percentage of the utilization ratio. Based on the simulation data results, a rational regression model can achieve high precision when predicting the acceptance ratio or the utilization ratio compared to other prediction algorithms such as the Multi-Layer Perceptron (MLP) and the Radial Basis Function (RBF) models. K-means clustering was used to understand the pattern and provide additional policies for carsharing companies. Consequently, opening a carsharing business is very promising in terms of profit, escalating the level of customer satisfaction. In addition, a small reduction in the utilization ratio by operators will create a large increase in the acceptance ratio.

Sound Field Modeling Method and Key Imaging Technology of an Ultrasonic Phased Array: A Review

An ultrasonic phased array consists of multiple ultrasonic probes arranged in a certain regular order, and the delay time of the excitation signal sent to each array element is controlled electronically. The testing system model based on ultrasonic propagation theory is established to obtain a controllable and focused sound field, which has theoretical and engineering guiding significance for the calculation and analysis of ultrasonic array sound fields. Perfecting array theory and exploring array imaging methods can obtain rich acoustic information, provide more intuitive and reliable research results, and further the development of ultrasonic phased-array systems. This paper reviews the progress of research on the application of ultrasound arrays for non-destructive testing (NDT) and brings together the most relevant published work on the application of simulation methods and popular imaging techniques for ultrasonic arrays. It mainly reviews the modeling approaches, including the angular spectrum method (ASM), multi-Gaussian beam method (MGB), ray tracing method, finite element method (FEM), finite difference method (FDM), and distributed point source method (DPSM), which have been used to assess the performance and inspection modality of a given array. In addition, the array of imaging approaches, including the total focusing method (TFM), compression sensing imaging (CSI), and acoustic nonlinearity imaging (ANI), are discussed. This paper is expected to provide strong technical support in related areas such as ultrasonic array testing theory and imaging methods.

IDENTIFICATION OF THE IMPACT OF THE SIMULATION LEARNING MODEL IN IMPROVING LEARNING ACTIVITIES AND ACHIEVEMENTS IN STRATEGY AND LEARNING PLANNING COURSES


 
 
 
 This study aims to improve the activeness and learning achievement of students by applying simulation methods in Strategy and Planning of Studying courses. This research is a class action research. The research setting was regular semester VI students, totaling 50 students who took Strategy and Planning of Studying courses. The research design involves the lecturer as the main researcher and at the same time the perpetrators of the action, the observer lecturer and students as the subject of the students. The way the research is carried out through: 1. planning, 2. implementation of class actions, 3. monitoring and evaluation, 4. analysis and reflection, 5. summarizing results. Data collection uses observation, interviews, documentation and questionnaires: Test the validity of the data using triangulation of methods and sources.Research this action by applying simulation methods in Strategy and Planning of Studying courses. The results of this action research are 1) The application of simulation learning methods can increase student activities. An increase in learning activities from cycle I to cycle II, and from cycle II to cycle III. 2) Application of simulation learning methods can optimize student learning achievement. Student learning achievement has increased from learning achievement cycle I to cycle II, and from cycle II to cycle III.
 
 
 
 

The Effect of Simulation Game Learning on Increasing Entrepreneurship Values and Children's Independence

Entrepreneurship programs can be used as a method of career guidance for early childhood. This study aims to determine the effect of Simulation Game Learning on Increasing Entrepreneurship Values and Children's Independence. Through this program, it has indirectly introduced the types of careers to children. This research is a type of quantitative research, with a quasi-experimental research method. The population in this study were the children of group B at Batik Kwadengan Barat Kindergarten and Dharma Wanita Persatuan Lemahputro TK as many as 40 students, class B TK Batik Kwadengan Barat amounted to 20 students as the experimental class and class B TK Dharma Wanita Persatuan Lemahputro amounted to 20 students as control class. Determination of the sample from the population using non-probability sampling. The collected data was then analyzed using statistical analysis to determine the effect of the independent variable on the dependent variable in the 2 groups with treatment only given to the experimental group. The statistical analysis in this study was carried out in 3 stages, namely: Instrument testing consisting of validity and reliability tests, Classical Assumption Test consisting of normality and homogeneity tests followed by hypothesis testing. Based on the test results, it is known that the instrument is valid and reliable and the data is normally distributed and homogeneous. The test results show that there is an effect of Learning Simulation Games on Increasing Entrepreneurship Values and Children's Independence. This is indicated by the significant difference in entrepreneurial development between the control group and the experimental group . As a reference, kindergarten teachers can apply simulation methods to develop children's entrepreneurial abilities and independence.

Key CO2 capture technology of pure oxygen exhaust gas combustion for syngas-fueled high-temperature fuel cells

Integrated gasification fuel cells (IGFCs) integrating high-temperature solid oxide fuel cell technology with CO2 capture processes represents highly-efficient power systems with negligible CO2 emissions. Flame burning with pure oxygen is an ideal method for fuel cell exhaust gas treatment, and this report describes experimental and numerical studies regarding an oxy-combustor for treating the exhaust gas of a 10 kW IGFC system anode. The applied simulation method was verified based on experiments, and the key performance indices of the combustor were studied under various conditions. It was determined that 315 K was the ideal condensation temperature to obtain flame stability. Under these pure oxygen flame burning conditions, CO was almost completely converted, and the dry mole fraction of CO2 after burning was ≥ 0.958 when there was up to 5% excess O2. Overall, 5% excess O2 was recommended to maximize CO2 capture and promote other environmental considerations. Additionally, the optimal tangential fuel jet angle to control the liner temperature was approximately 25°. The total fuel utilization had to be high enough to maintain the oxygen flame temperature of the anode exhaust gas below 1800 K to ensure that the system was environmentally friendly. The results presented herein have great value for designing IGFCs coupled with CO2 capture systems.

Primjena procesa Markova za procjenu pouzdanosti složenog termoenergetskog sistema

Determining the reliability of a thermal power plant as a whole or in its individual components often requires long and very expensive tests under special operating modes on a very large number of samples or gathering the required exploitation data, which is even more difficult because of the choice of a general mathematical method (different forms of curves which quantitatively define reliability with different failure density functions and the high dependence of such curves on changes in the operating modes of components and environmental conditions). The introduction of approximate calculations, in order to overcome these problems, gives an insight into the basic reliability characteristics of the observed system as a whole, but also insufficiently exact final parameters, due to a whole series of larger or smaller approximations, as well as the inability to take into account all existing influences (development of new technologies, specifics newly developed disorders, etc.). Calculating the reliability of a complex system is only the first initial phase of verifying quantitative characteristics, that is, the hypothesis itself that we have more or less confidence in. Their final acceptance or rejection is a verification of reliability through the control of certain quantitative system indicators for the given technical conditions of operation. For these reasons, alternative terms are often used to verify reliability in the literature, such as reliability control or hypothesis testing. Designing a reliability model, through the application of simulation methods, to select the best parameters for the functioning of components and systems as a whole, in technological terms, should be supported by appropriate experimental methods (using collected data and stored data from the past). This paper provides an analysis of the application of the Markov process to assess the reliability of a complex thermal power system, with the aim of scheduling appropriate decisions on maintenance actions based on the required level of reliability. The optimum timing of replacement / repair of parts of a complex thermal power system is defined before its failure or the need to act correctively. Also, these models serve to provide a level of reliability by carrying out adequate maintenance actions on complex units within the thermal power plant.

Temperature Changes Effect on the Inner Product Vector Method and its Application to Structural Health Monitoring of Aircraft Industry

The purpose of the paper is to study the effect of temperature change on the theory of inner product vector (IPV). The IPV method can be used to detect structural damage. This study evaluates the IPV method ability to detect damage of an Airbus A320 slat-track, which is in the form of a longitudinal crack. The results show that the IPV method is able to detect defects in the structure as well as its location, with close approximation. Then, the Airbus A320 slat-track was investigated for the effect of changes in temperature on the IPV method, evaluated over a temperature between –73 and 260 °C. The effect of temperature on the performance of IPV damage detection method has not been investigated so far. The results of the IPV method show a spurious defect in the structure as the temperature changes; therefore, the IPV method is temperature-sensitive. Also, this study highlighted the importance of applying simulation methods to develop vibration-based damage detection (VBDD) techniques, especially for evaluating the effect of changes in environmental temperature when the structure is complex.

Application of Simulation Methods in Cervical Spine Dynamics.

Neck injury is one of the most frequent spine injuries due to the complex structure of the cervical spine. The high incidence of neck injuries in collision accidents can bring a heavy economic burden to the society. Therefore, knowing the potential mechanisms of cervical spine injury and dysfunction is significant for improving its prevention and treatment. The research on cervical spine dynamics mainly concerns the fields of automobile safety, aeronautics, and astronautics. Numerical simulation methods are beneficial to better understand the stresses and strains developed in soft tissues with investigators and have been roundly used in cervical biomechanics. In this article, the simulation methods for the development and application of cervical spine dynamic problems in the recent years have been reviewed. The study focused mainly on multibody and finite element models. The structure, material properties, and application fields, especially the whiplash injury, were analyzed in detail. It has been shown that simulation methods have made remarkable progress in the research of cervical dynamic injury mechanisms, and some suggestions on the research of cervical dynamics in the future have been proposed.

The Implementation of Practice Based Simulation of New Nurse Toward Self Confidence: A Literature Review

Background: To enhance the quality of nursing service at hospital, it needs learning process (education and training) using clinical skills facility. It gives ideal place for the development of nurse’s confident before entering the real world of work. Problem based learning approach is able to use simulation learning method or Practice Based Simulation Model can enhance new nurse’s confidence. Objective: This study aimed at investigating the literature for of the practice based simulation that may be expected to enhance new nurse’s self confidenceMethod: This research used Literature Review. Source of the research was taken from some database. Searching was conducted in December 2018 through database of PubMed of 3016 articles, Google Scholar of 13.5000 articles, Science Direct of 3466 articles, Pro Quest of 256 articles using combination of key words “self confidence” and practice based simulation+new graduates nursing. From all database, there were only 7 which fulfilled inclusion criteria.Result: based on the result of literature review from 7 articles, it was found that applying simulation method to new nurse can enhance self confidence. New nurse would be more independent, able to make decision and conduct nursing care and be more calm while working.Conclusion: the aim of this literature review obtains the result that application of practice based simulation can increase self confidence of nurse.

Model of Organizational Behavior in a Hierarchical Structure

Interaction between persons performing operational activities within hierarchical organizational structures depends upon their mutual perception. Since certain aspects of mutual perception are poorly measurable, it is required to apply simulation methods. The purpose of this study is to elaborate an agent-based model of the hierarchical structure involving persons, whose behavior is described in the concept of mutual perception previously formulated by the author, but also to carry out a simulation exercise that determines the correlation between mutual perception of agents and group productivity of operational activities.The simulation exercise also concluded that provisions of the concept of mutual perception within the hierarchy remain valid, namely, those stipulating that behavior of agents is consistent with phenomena specific to organizational behavior: if operational commands are being issued on the basis of mutually positive relationships between superiors and subordinates, group productivity increases.The tool developed (an agent-based model with its code and documents that are publicly available) can be used in further studies on organizational behavior within hierarchical structures.