Usporedba simulacija utjecaja konstantnog stohastičkog vjetra na nevođenu raketu uz korištenje različitih distribucija vjerojatnosti

master's thesis

• Title (english): Simulations comparison of constant stohastic wind effects on an unguided rocket using different probability distributions
• Author: Antonia Galić
• Mentor: Milan Vrdoljak (mentor)
• Mentor: Zvonko Trzun (komentor)
• Committee member: Tatjana Gazivoda Kraljević (predsjednik povjerenstva)
• Committee member: Zvonko Trzun (član povjerenstva)
• Committee member: Milan Vrdoljak (član povjerenstva)
• Granter: University of Zagreb; (Croatian Defence Academy "Dr. Franjo Tuđman"); Zagreb
• Defense date and country: 2023-07-03, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Security and Defense Science
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Aviation, Rocket and Space Technology

Abstract

Ovaj rad istražuje utjecaj vjetra na preciznost gađanja nevođene rakete pomoću Monte Carlo
simulacija.
Cilj rada je usporediti utjecaj različitih distribucija vjerojatnosti na disperziju padnih točaka
rakete pod utjecajem konstantnog stohastičkog vjetra. U tu svrhu, za slučajno generiranje pravca
i intenziteta vjetra, koriste se dvije najčešće distribucije: Gaussova distribucija i Rayleighova
distribucija.
Nakon provedenih simulacija, dobiveni rezultati se analiziraju i uspoređuju. Grafički su
prikazane padne točke za obje distribucije vjerojatnosti, uz naglasak na njihovu raspodjelu,
rasipanje i udaljenost od cilja. Iz dobivenih rezultata proizlazi da Gaussova distribucija pruža
manje rasipanje padnih točaka oko cilja u usporedbi s Rayleighovom distribucijom.
S obzirom da vjetar, od svih atmosferskih uvjeta, najviše utječe na poremećaj putanje projektila
te rasipanje padnih točaka, bitno je njegovo poznavanje prilikom analize i planiranja gađanja
nevođenih raketa. Razumijevanje utjecaja vjetra na putanju projektila može pomoći u donošenju
boljih odluka u vezi s preciznošću i sigurnošću gađanja.

Abstract (english)

This paper explores the impact of wind on the accuracy of unguided rockets through Monte
Carlo simulations. The aim of the study is to compare the impact of different probability
distributions on the dispersion of rocket impact points under the influence of constant stochastic
wind. For this purpose, two common distributions are used for randomly generating the direction
and intensity of the wind: the Gaussian distribution and the Rayleigh distribution.
After conducting the simulations, the obtained results are analyzed and compared. The impact
points for both probability distributions are graphically represented, with emphasis on their
distribution, dispersion, and distance from the target. The results indicate that the Gaussian
distribution provides less dispersion of impact points around the target compared to the Rayleigh
distribution.
Given that wind, among all atmospheric conditions, has the greatest impact on the disturbance of
the projectile's trajectory and the dispersion of impact points, its understanding is essential
during the analysis and planning of unguided rocket attacks. Understanding the influence of
wind on the projectile's path can help make better decisions regarding the accuracy and safety in
targeting.

• Keywords: nevođena raketa; stohastički vjetar; utjecaj vjetra; putanja projektila; distribucija vjerojatnosti; Gaussova distribucija; Rayleighova distribucija; simulacija; disperzija padnih točaka; preciznost gađanja
• Keywords (english): unguided rocket; stochastic wind; wind impact; projectile trajectory; probability distribution; Gaussian distribution; Rayleigh distribution; simulation; dispersion of impact points; accuracy of firing
• Language: croatian
• URN:NBN: urn:nbn:hr:249:129109
• Study programme: Title: Military Engineering; Study programme type: university; Study level: graduate; Academic / professional title: MAGISTAR/MAGISTRA INŽENJER/INŽENJERKA VOJNOG INŽENJERSTVA (MAGISTAR/MAGISTRA INŽENJER/INŽENJERKA VOJNOG INŽENJERSTVA)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-01-22 08:29:43