Projecte llegit
Títol: Modeling the Evolution of Space Debris Populations
Estudiants que han llegit aquest projecte:
POSADA STROCHINSKI, NOAH (data lectura: 16-07-2025)- Cerca aquest projecte a Bibliotècnica

Director/a: TORRES GIL, SANTIAGO
Departament: FIS
Títol: Modeling the Evolution of Space Debris Populations
Data inici oferta: 30-01-2025 Data finalització oferta: 30-09-2025
Estudis d'assignació del projecte:
GR ENG SIST AEROESP
Tipus: Individual | |
Lloc de realització: EETAC | |
Segon director/a (UPC): RADDI, ROBERTO | |
Paraules clau: | |
Space Debris, Orbital Dynamics | |
Descripció del contingut i pla d'activitats: | |
Space debris is becoming an increasingly significant challenge for current and near future space missions. Rocket launches, satellite operations, and reentries must account for the risk of damage caused by space debris. The vast range of sizes, masses, and orbital parameters of debris makes individual analysis impractical.
In this project, we aim to study the ensemble properties of space debris based on given distributions of mass, size, and atmospheric drag coefficients. Using specialized orbit modeling software, we analyze the statistical behavior of debris populations, allowing us to derive key ensemble properties and assess their potential impact on space operations. Moreover, this analysis can also contribute to a better understanding of the outer layers of Earth's atmosphere. |
|
Overview (resum en anglès): | |
Space debris is becoming an increasingly significant challenge for current and near future space missions. Rocket launches, satellite operations, and reentries must account for the risk of damage caused by space debris. The vast range of sizes, masses, and orbital parameters of debris makes individual analysis impractical.
In this project, we aim to study the ensemble properties of space debris based on given distributions of mass, size, and atmospheric drag coefficients. Using specialized orbit modeling software, we analyze the statistical behavior of debris populations, allowing us to derive key ensemble properties and assess their potential impact on space operations. Moreover, this analysis can also contribute to a better understanding of the outer layers of Earth's atmosphere. |