scholarly journals Dynamic Simulation Model of Visual and Instrumental Observation of a Point Target by a Cosmonaut-Operator While Flying-By

2019 ◽  
pp. 45-61
Author(s):  
Vyacheslav Mikhailovich Zhukov
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Environmental Parameters ◽  
Simulation Models ◽  
Space Object ◽  
Instrumental Observation ◽  
Point Target ◽  
Dynamic Simulation Model ◽  
Distribution Of Points ◽  
Computer Based

The computer-based dynamic simulation model (DSM) of visual and instrumental observation (VIO) of a point target by a cosmonaut using a pancratic observation device was developed. The DSM is the core model of the simulation models complex (SMC), which calculates the input parameters for it (current ballistic data of rendezvous and environmental parameters). The DSM is based on the hypothesis of the correspondence of the law of the distribution of points of staring to the normal two-dimensional law of the position of a point target in the ellipse of the probabilities of the forecasting position of a space object in orbit.

Ontology-Based Unified Representation of Dynamic Simulation Models in Engineering Design

2018 ◽  
Author(s):  
Jun Yu ◽  
Zhenjun Ming ◽  
Guoxin Wang ◽  
Yan Yan ◽  
Xiaoping Lan
Keyword(s):  
Simulation Model ◽  
Knowledge Base ◽  
Engineering Design ◽  
Dynamic Simulation ◽  
Collaborative Design ◽  
Simulation Models ◽  
Heterogeneous Data ◽  
Automation Systems ◽  
Dynamic Simulation Model ◽  
Definition Of

The development of complex product dynamic simulation models and the integration of design automation systems require knowledge from multiple heterogeneous data sources and tools. Because of the heterogeneity of model data, the integration of tools and data is a time-consuming and error-prone task. The main objective of this study is to provide a unified model of dynamic simulation for engineering design, which serves as a knowledge base to support the development of a dynamic simulation model. The integration of knowledge is realized through (i) definition of the structure and interface during the design phase of the dynamic simulation model, and (ii) definition of a model-driven integrated environment configuration process during the runtime phase. In order to achieve interoperability among the different simulation models in a collaborative design environment, we build a “Demand-Resources-Service-Knowledge-Process (DKRSP)” ontology that formally represents the semantics of dynamic simulation models. Based on the ontology, a knowledge base is created for the management of dynamic simulation knowledge. The efficacy of the ontology and the knowledge base are demonstrated using a transmission design example.

The Study of Automobile Brake Chamber Performance Test System

2014 ◽  
Vol 543-547 ◽  
pp. 1286-1290 ◽  
Author(s):  
Yi Lu ◽  
Qiang Zhu ◽  
Bin Guo
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Performance Test ◽  
Computer Control ◽  
Simulation Models ◽  
Test System ◽  
Static Characteristic ◽  
Control Technology ◽  
Sealing Performance ◽  
Dynamic Simulation Model

To solve the problem of measuring the brake chamber at present, this integrative performance test system for bake chamber was built up by using the computer control technology. It can measure these parameters: dynamic characteristic, static characteristic, sealing performance and return performance. To verify the system accuracy, a multi-parameter dynamic simulation model for the brake chamber was designed based on AMESim. It breaks through the limit which was formerly difficult to analyze the defects of the theoretical parameters for brake chamber. By the simulation models and test system, the influence of the key component parameters to the output characteristic is analyzed .The experiment results show that the integrative performance of brake chamber can be judged very well and the simulation model is accurate and reliable.

scholarly journals Study on improving three-dimensional dynamic simulation model and equation of flexible fabric

2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985284
Author(s):  
Meiliang Wang ◽  
Mingjun Wang ◽  
Xiaobo Li
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Material Properties ◽  
Three Dimensional ◽  
Equation Solving ◽  
Study Results ◽  
Essential Properties ◽  
Dynamic Simulation Model ◽  
Novel Model ◽  
Simulation Equation

The use of the traditional fabric simulation model evidently shows that it cannot accurately reflect the material properties of the real fabric. This is against the background that the simulation result is artificial or an imitation, which leads to a low simulation equation. In order to solve such problems from occurring, there is need for a novel model that is designed to enhance the essential properties required for a flexible fabric, the simulation effect of the fabric, and the efficiency of simulation equation solving. Therefore, the improvement study results will offer a meaningful and practical understanding within the field of garment automation design, three-dimensional animation, virtual fitting to mention but a few.

scholarly journals Climate-related migration and population health: social science-oriented dynamic simulation model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rafael Reuveny
Keyword(s):  
Public Health ◽  
Social Science ◽  
Simulation Model ◽  
Environmental Health ◽  
Dynamic Simulation ◽  
Health Problems ◽  
Ecological Impacts ◽  
Sensitivity Analyses ◽  
Pilot Model ◽  
Dynamic Simulation Model

Abstract Background Social science models find the ecological impacts of climate change (EICC) contribute to internal migration in developing countries and, less so, international migration. Projections expect massive climate-related migration in this century. Nascent research calls to study health, migration, population, and armed conflict potential together, accounting for EICC and other factors. System science offers a way: develop a dynamic simulation model (DSM). We aim to validate the feasibility and usefulness of a pilot DSM intended to serve as a proof-of-concept and a basis for identifying model extensions to make it less simplified and more realistic. Methods Studies have separately examined essential parts. Our DSM integrates their results and computes composites of health problems (HP), health care (HC), non-EICC environmental health problems (EP), and environmental health services (ES) by origin site and by immigrants and natives in a destination site, and conflict risk and intensity per area. The exogenous variables include composites of EICC, sociopolitical, economic, and other factors. We simulate the model for synthetic input values and conduct sensitivity analyses. Results The simulation results refer to generic origin and destination sites anywhere on Earth. The effects’ sizes are likely inaccurate from a real-world view, as our input values are synthetic. Their signs and dynamics are plausible, internally consistent, and, like the sizes, respond logically in sensitivity analyses. Climate migration may harm public health in a host area even with perfect HC/ES qualities and full access; and no HP spillovers across groups, conflict, EICC, and EP. Deviations from these conditions may worsen everyone’s health. We consider adaptation options. Conclusions This work shows we can start developing DSMs to understand climate migration and public health by examining each case with its own inputs. Validation of our pilot model suggests we can use it as intended. We lay a path to making it more realistic for policy analysis.

scholarly journals Dynamic Simulation of Petrochemical Wastewater Treatment Using Wastewater Plant Simulation Software

2018 ◽  
Vol 203 ◽  
pp. 03005
Author(s):  
Idzham Fauzi Mohd Ariff ◽  
Mardhiyah Bakir
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Stable Condition ◽  
Oxygen Demand ◽  
Simulation Software ◽  
Petrochemical Plant ◽  
Dynamic Simulation Model ◽  
Plant Monitoring ◽  
Plant Simulation

A dynamic simulation model was developed, calibrated and validated for a petrochemical plant in Terengganu, Malaysia. Calibration and validation of the model was conducted based on plant monitoring data spanning 3 years resulting in a model accuracy (RMSD) for effluent chemical oxygen demand (COD), ammoniacal nitrogen (NH3-N) and total suspended solids (TSS) of ±11.7 mg/L, ±0.52 mg/L and ± 3.27 mg/L respectively. The simulation model has since been used for troubleshooting during plant upsets, planning of plant turnarounds and developing upgrade options. A case study is presented where the simulation model was used to assist in troubleshooting and rectification of a plant upset where ingress of a surfactant compound resulted in high effluent TSS and COD. The model was successfully used in the incident troubleshooting activities and provided critical insights that assisted the plant operators to quickly respond and bring back the system to normal, stable condition.

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