TY - GEN
T1 - MULTI-SCALE DISCRETE-EVENT SIMULATION FRAMEWORK FOR DYNAMIC COMBAT EFFECTIVENESS ASSESSMENT
AU - Ndindabahizi, Irene
AU - Vancaeyzeele, Tom
AU - Lauwens, Ben
AU - Gallant, Johan
N1 - Publisher Copyright:
© 2024 Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Simulation is a widely used tool in the development of weapon systems. It is a cost-effective alternative to expensive testing campaign and also allows exploration of a larger design space. In this paper, a multi-scale discrete-event simulation framework for weapon effectiveness analysis is presented. The proposed discrete-event modelling approach is a flexible and composable framework with interchangeable models. Physical models are implemented as black boxes within specialised modules and are invoked as state transition functions to update state variables. In this way, high and low resolution modelling can be combined as required. High resolution non-deterministic simulations are required for parameters’ uncertainty propagation along the projectile’s path. Sampling methods are integrated into the framework, wherein, parameters are defined using probabilistic distributions. As an illustration, the framework is used to evaluate the effectiveness of a tank weapon system against a fleet of drones. In this case study, Monte Carlo methods are used, more efficient sampling methods can be used.
AB - Simulation is a widely used tool in the development of weapon systems. It is a cost-effective alternative to expensive testing campaign and also allows exploration of a larger design space. In this paper, a multi-scale discrete-event simulation framework for weapon effectiveness analysis is presented. The proposed discrete-event modelling approach is a flexible and composable framework with interchangeable models. Physical models are implemented as black boxes within specialised modules and are invoked as state transition functions to update state variables. In this way, high and low resolution modelling can be combined as required. High resolution non-deterministic simulations are required for parameters’ uncertainty propagation along the projectile’s path. Sampling methods are integrated into the framework, wherein, parameters are defined using probabilistic distributions. As an illustration, the framework is used to evaluate the effectiveness of a tank weapon system against a fleet of drones. In this case study, Monte Carlo methods are used, more efficient sampling methods can be used.
KW - Discrete Event Simulations
KW - Julia
KW - Monte Carlo
KW - Uncertainty Quantification
UR - http://www.scopus.com/inward/record.url?scp=85210253755&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85210253755
T3 - Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024
SP - 161
EP - 168
BT - Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024
A2 - Nunez-Gonzalez, Jose David
A2 - Grana Romay, Manuel
A2 - Geril, Philippe
PB - EUROSIS
T2 - 38th Annual European Simulation and Modelling Conference, ESM 2024
Y2 - 23 October 2024 through 25 October 2024
ER -