Excavation of artificial caverns inside asteroids by leveraging rotational self-energy
نویسندگان
چکیده
Future space ventures will likely require exploitation of near-Earth asteroid resources. Moreover, it can be envisaged that asteroids may host habitats in their interiors. In fact, a cavern inside an would natural radiation shield against cosmic and also serve as confined environment for storage mined material such water ice or other processed volatiles propellants. To this end, paper proposes to leverage the rotational self-energy remove from interiors create spherical cavern, by means orbital siphon concept. The is chain tether-connected payload masses (the material), which exploits rotation delivery mass escape. Under certain conditions initiated ensure self-sustained flow A net effect generated connecting new payloads at bottom while releasing upper payloads. Key parameters are discussed, required dimension maximum size internal cavity excavated, function period. assuming elastic behaviour, closed-form expression stress tensor found failure criterion used identify regions subjected larger stresses. It shown relaxed radius void increases.
منابع مشابه
Collisional and Rotational Disruption of Asteroids
Asteroids are leftover pieces from the era of planet formation that help us understand conditions in the early Solar System. Unlike larger planetary bodies that were subject to global thermal modification during and subsequent to their formation, these small bodies have kept at least some unmodified primordial material from the solar nebula. However, the structural properties of asteroids have ...
متن کاملArtificial Neural Network Classification of Asteroids
There are currently only a few thousand asteroids with known classifications. Our aim is to increase this number to over 20,000 by classifying asteroids identified in the Sloan Digital Sky Suvey (SDSS) Moving Object Catalogue using an artificial neural network that has been developed using the Neural Network Toolbox in Matlab. With this neural network, we are able to provide classifications for...
متن کاملMultirobot Lunar Excavation and ISRU Using Artificial-Neural-Tissue Controllers
Automation of site preparation and resource utilization on the Moon with teams of autonomous robots holds considerable promise for establishing a lunar base. Such multirobot autonomous systems would require limited human support infrastructure, complement necessary manned operations and reduce overall mission risk. We present an Artificial Neural Tissue (ANT) architecture as a control system fo...
متن کاملEnsemble-Trees: Leveraging Ensemble Power Inside Decision Trees
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and variance. On the other hand, decision trees show a tendency to lack stability given small changes in the data, whereas interpreting an ensemble of trees is challenging to comprehend. We propose the technique of Ensem...
متن کاملOrbital Simulations for Directed Energy Deflection of Near-Earth Asteroids
Directed energy laser ablation at the surface of an asteroid or comet produces an ejection plume that will impart a thrust on the asteroid. This thrust can mitigate a threatened collision with the Earth. This technique uses the asteroid itself as the deflection propellant. The DESTAR laser system is designed to produce a sufficiently intense spot on the surface of an asteroid to accomplish this...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Space Research
سال: 2021
ISSN: ['0273-1177', '1879-1948']
DOI: https://doi.org/10.1016/j.asr.2021.02.021