Modeling and Simulation Behavior Validation Methodology and Extension Model Validation for the Individual Soldier

2015 ◽  
Author(s):  
Adam Haupt ◽  
Thomas Anderson ◽  
William Platte ◽  
Thomas Deveans
Keyword(s):  
Modeling And Simulation ◽  
Model Validation ◽  
Extension Model ◽  
The Individual

Numerical Modeling and Experimental Research of the Perforation Phenomenon of Certain Materials Used for Individual Protection by Bullets

2017 ◽  
Vol 23 (3) ◽  
pp. 174-179
Author(s):  
Florin Ilie ◽  
Nicolae Moro
Keyword(s):  
Numerical Modeling ◽  
Modeling And Simulation ◽  
Experimental Research ◽  
Ballistic Protection ◽  
Different Types ◽  
Individual Protection ◽  
Range Testing ◽  
Materials Used ◽  
The Individual ◽  
The Impact

Abstract The paper captures two aspects related to the phenomenon of impact between bullets and different types of materials used for the individual protection of the militaries, for the same type of ammunition and for the same configuration of the ballistic protection system, both in the case of the activity of experimental shooting range testing, as well as in the case of the modeling and simulation of the impact between the bullet and the protection materials.

scholarly journals A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile

SIMULATION ◽  
2020 ◽  
Vol 96 (8) ◽  
pp. 655-678 ◽  
Author(s):  
Imran Mahmood ◽  
Quair-tul-ain ◽  
Hasan Arshad Nasir ◽  
Fahad Javed ◽  
José A Aguado
Keyword(s):  
Modeling And Simulation ◽  
Energy Demand ◽  
Large Scale ◽  
Electricity Consumption ◽  
Agent Based Modeling ◽  
Energy Planning ◽  
Modeling Framework ◽  
Agent Based ◽  
The Individual ◽  
Domestic Electricity

Analyzing demand behavior of end consumers is pivotal in long term energy planning. Various models exist for simulating household load profiles to cater different purposes. A macroscopic viewpoint necessitates modeling of a large-scale population at an aggregate level, whereas a microscopic perspective requires measuring loads at a granular level, pertinent to the individual devices of a household. Both aspects have lucrative benefits, instigating the need to combine them into a modeling framework which allows model scalability and flexibility, and to analyze domestic electricity consumption at different resolutions. In this applied research, we propose a multi-resolution agent-based modeling and simulation (ABMS) framework for estimating domestic electricity consumption. Our proposed framework simulates per minute electricity consumption by combining large neighborhoods, the behavior of household individuals, their interactions with the electrical appliances, their sociological habits and the effects of exogenous conditions such as weather and seasons. In comparison with the existing energy models, our framework uniquely provides a hierarchical, multi-scale, multi-resolution implementation using a multi-layer architecture. This allows the modelers flexibility in order to model large-scale neighborhoods at one end, without any loss of expressiveness in modeling microscopic details of individuals’ activities at house level, and energy consumption at the appliance level, at the other end. The validity of our framework is demonstrated using a case study of 264 houses. A validated ABMS framework will support: (a) Effective energy planning; (b) Estimation of the future energy demand; (c) and the analysis of the complex dynamic behavior of the consumers.

scholarly journals Energy–Economy Coupled Simulation Approach and Simulator Based on Invididual-Based Model

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2771
Author(s):  
Jisong Zhu ◽  
Zhaoxia Jing ◽  
Tianyao Ji ◽  
Nauman Ali Larik
Keyword(s):  
Modeling And Simulation ◽  
Distributed Simulation ◽  
Simulation Method ◽  
Energy System ◽  
Simulation Approach ◽  
Individual Based Model ◽  
Multi Scale ◽  
Integrated Energy System ◽  
Energy Economy ◽  
The Individual

An integrated energy system, referred to specifically as a heterogeneous energy system that combines cooling, heating, power, etc., is a dynamic system containing continuous as well as discrete behaviors on both technical and economic levels. Currently, the comprehensive utilization of multiple forms of energy and the implementation of the energy market have made the simulation of such a system very complicated, which is reflected in two aspects. First, the simulation model becomes complex and varied. Second, the time-varying characteristics of the models are quite diverse. Therefore, a standard and normative modeling and simulation method is urgently needed. This work aims to obtain a compatible modeling and simulation method for the energy economy coupling system. The individual-based model is widely used to describe organisms in an ecology system that are similar to the energy–economy coupled system. Inspired by this, a general simulation approach based on the individual-based model is proposed in this paper to overcome these existing problems. The standard formal expression model is built, then its structure and elements explained in detail, and multi-scale time simulation supported to model and simulate an integrated energy system that is coupled with markets. In addition, a simulator is designed and implemented based on multi-agent framework and model-view-controller architecture. Finally, a simulation case of a conceived scenario was designed and executed, and the results analysis proved the validity and versatility of the proposed approach. The proposed method has the advantages of model standardization, multi-scale time compatibility, distributed simulation capability, and privacy protection. These advantages support and strengthen each other. Through these studies, a systematic approach was formed that could improve the standardization of modeling and simulation in the energy–economy research area.

Modeling and simulation of swarms for collecting objects

Robotica ◽  
2005 ◽  
Vol 24 (3) ◽  
pp. 315-324 ◽  
Author(s):  
Yangmin Li ◽  
Xin Chen
Keyword(s):  
Modeling And Simulation ◽  
Mathematic Model ◽  
Macroscopic Model ◽  
Global Dynamics ◽  
Individual Based Model ◽  
Framework Model ◽  
Home Area ◽  
The Individual

A mathematic model is established to describe a swarm with multi-behavior. Regarding a swarm designed for cooperative task, we propose a model which includes a macroscopic model and a individual-based model. The macroscopic framework model describes global dynamics of swarms, which is normally expressed by dynamical populations' densities with different behaviors, while the individual-based framework model describes a individual agent's trajectory. Based on these models, we prove that all objects can be collected to the “home” area under conditions of individual agents subject to sensor constraints.

scholarly journals Modeling Wood and Fly Ash Behaviour as Partial Replacement for Cement on Compressive Strength of Self Compacting Concrete

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Eluozo S.N. ◽  
Dimkpa K
Keyword(s):  
Growth Rate ◽  
Experimental Investigation ◽  
Compressive Strength ◽  
Fly Ash ◽  
Modeling And Simulation ◽  
Model Validation ◽  
Concrete Strength ◽  
Partial Replacement ◽  
Self Compacting Concrete ◽  
Compressive Strength Of Concrete

Wood and fly ash were observed to have significant qualities that could improved the strength of self compacting concrete, the material were applied to increase the compressive strength of concrete strength, this material could be the demanding material for partial  replacement for cement, the study observed the behaviour of the material from experts that applied these material through experimental investigation, but the study monitored the behaviour of this material by applied modeling and simulation to determine other effect that could influence the behaviour of this materials in compressive strength, this was to determine the  significant effect on the addictive applied as partial replacement for cement, lots of experts has done works on fly ash through experiment concept, but the application of predictive concept has not be carried out, the  adoption of this concept has expressed other parameters that contributed to the efficiency of  wood and fly ash as partial replacement for cement on self compacting concrete. The study adopting modeling and simulation observed 10 and 20% by weight of cement as it is reflected on its performance in the simulation, from the simulation wood recorded 10% as it was observed from the growth rate of this self compacting concrete reflected from the trend, the simulation for model validation were compared with the works of the studies carried out [20]. And both values developed best fits correlation

Modeling and Simulation Environments for Sustainable Low-Carbon Energy Production – A Review

2016 ◽  
Vol 11 (2) ◽  
pp. 97-124 ◽  
Author(s):  
Aldric Tumilar ◽  
Manish Sharma ◽  
Dia Milani ◽  
Ali Abbas
Keyword(s):  
Modeling And Simulation ◽  
Carbon Capture ◽  
Energy Production ◽  
Process Development ◽  
Process Integration ◽  
Individual Plant ◽  
Low Carbon ◽  
Modeling Software ◽  
The Individual ◽  
Low Carbon Energy

Abstract This paper reviews research trends in modeling for low-carbon energy production. The focus is on two currently significant low-carbon energy processes; namely, bioenergy and post-combustion carbon capture (PCC) processes. The fundamentals of these two processes are discussed and the role of modeling and simulation tools (MSTs) is highlighted. The most popular modeling software packages are identified and their use in the literature is analyzed. Among commercially available packages, it is found that no single software package can handle all process development needs such as, configuration studies, techno-economic analysis, exergy optimization, and process integration. This review also suggests that optimal modeling results reported in literature can be viewed as optimal at the individual plant level, but sub-optimal for plant superstructure level. This review has identified key gaps pertinent to developing hybrid models that describe integrated energy production processes. ASPEN Plus is found to be dominant for modeling both bioenergy and PCC processes for both steady-state and dynamic modes respectively.

scholarly journals Multiscale modeling and simulation of magneto-active elastomers based on experimental data

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Karl A. Kalina ◽  
Alexander Raβloff ◽  
Maximilian Wollner ◽  
Philipp Metsch ◽  
Jörg Brummund ◽  
...  
Keyword(s):  
Experimental Data ◽  
Modeling And Simulation ◽  
Multiscale Modeling ◽  
Constitutive Models ◽  
Elastic Model ◽  
The Finite Element Method ◽  
Effective Response ◽  
General Continuum ◽  
The Individual

AbstractIn this contribution, we present a framework for the multiscale modeling and simulation of magneto-active elastomers (MAEs). It enables us to consider these materials on the microscopic scale, where the heterogeneous microstructure consisting of magnetizable particles and elastomer matrix is explicitly resolved, as well as the macroscopic scale, where the MAE is considered to be a homogeneous magneto-active body. On both scales, a general continuum formulation of the coupled magneto-mechanical boundary value problem is applied and the finite element method is used to solve the governing equations. Starting with an experimental characterization of the individual constituents, i.e. particles and matrix, microscopic constitutive models for both are formulated and adjusted to the experimental data separately. With that, properties of MAEs resulting from the microscopic constitutive behavior can be captured within the presented modeling approach. Secondly, to discuss general macroscopic properties of magnetically soft and hard MAEs, a computational homogenization scheme is used to calculate the composites’ effective behavior for different geometrical arrangements of the particles on the microscale. Finally, the calculated effective response of a magnetically soft composite system is used to identify the parameters of a macroscopic magneto-elastic model. Using the calibrated model, the behavior of macroscopic MAEs is simulated for different sample geometries.

scholarly journals Modeling and Simulation as Tools to Increase the Protection of Critical Infrastructure and the Sustainability of the Provision of Essential Needs of Citizens

2021 ◽  
Vol 13 (11) ◽  
pp. 5898
Author(s):  
Tomáš Loveček ◽  
Lenka Straková ◽  
Katarína Kampová
Keyword(s):  
Modeling And Simulation ◽  
Critical Infrastructure ◽  
Software Tool ◽  
Critical Infrastructure Protection ◽  
Physical Protection ◽  
Malicious Behavior ◽  
Extension Model ◽  
Model Response ◽  
Security Challenges ◽  
Basic Functions

States and their cities are at the forefront of efforts to address many of today’s transnational security challenges. States cannot fulfill their basic functions, which include caring for the all-round development of their territory and the needs of its inhabitants, without the existence of critical infrastructure, which can be damaged, destroyed, or disrupted by malicious behavior. The legislation of EU authorities presents methods for improving the crisis management cycle within critical infrastructure protection. However, these methods are not elaborated. Modeling and simulation using software tools enable more accurate decision-making by security managers during the process of designing and evaluating the physical protection systems of critical infrastructure. This article presents a new software solution to the intrusion of unauthorized persons and its potential mathematical extension. The main innovative benefit of this newly created software tool is the possibility of creating more sophisticated attack scenarios using various 2D maps. Mathematical extension model response scenarios are constructed for various types of intruders, allowing more accurate training of defenders, which leads to more effective resource usage. This combination of software and mathematical solutions should allow physical protection system designers to test various intrusion scenarios of critical infrastructure elements.

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