Rautela, M and Mirfarah, M and Silva, CE and Dyke, S and Maghareh, A and Gopalakrishnan, S (2023) Real-time rapid leakage estimation for deep space habitats using exponentially-weighted adaptively-refined search. In: Acta Astronautica, 203 . pp. 385-391.
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Abstract
The recent accelerated growth in space-related research and development activities makes the near-term need for long-term extraterrestrial habitats evident. Such habitats must operate under continuous disruptive conditions arising from extreme environments like meteoroid impacts, extreme temperature fluctuations, galactic cosmic rays, destructive dust, and seismic events. Loss of air or atmospheric leakage from a habitat poses safety challenges that demand proper attention. Such leakage may arise from micro-meteoroid impacts, crack growth, bolt/rivet loosening, and seal deterioration. In this paper, leakage estimation in deep space habitats is posed as an inverse problem. A forward pressure-based dynamical model is formulated for atmospheric leakage. Experiments are performed on a small-scaled pressure chamber where different leakage scenarios are emulated and corresponding pressure values are measured. An exponentially-weighted adaptively-refined search (EWARS) algorithm is developed and validated for the inverse problem of real-time leakage estimation. It is demonstrated that the proposed methodology can achieve real-time estimation and tracking of constant and variable leaks with accuracy. © 2022 IAA
| Item Type: | Journal Article |
|---|---|
| Publication: | Acta Astronautica |
| Publisher: | Elsevier Ltd |
| Additional Information: | The copyright for this article belongs to the Authors. |
| Keywords: | Cosmology; Deterioration; Ecosystems; Uncertainty analysis, Adaptively-refined search; Deep space; Deep space habitat; Exponential weighting; Leakage estimation; Meteoroid impacts; Real- time; Real-time inversion; Space habitat; Time inversions, Inverse problems |
| Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
| Date Deposited: | 27 Jan 2023 08:42 |
| Last Modified: | 27 Jan 2023 08:42 |
| URI: | https://eprints.iisc.ac.in/id/eprint/79535 |
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