Description
After polluting oceans, deserts and Antarctica, mankind is saturating the near Space with satellite and rocket junk. The effect of human activities on remote places is mostly ignored by people not directly involved in monitoring and cleaning. Those who are lucky enough to holiday on remote islands in the Indian Ocean or the Caribbean may realise our impact when they see plastic bottles floating in the sea, but what about space junk? This talk introduced the topic of space debris re-entering Earth’s atmosphere, and guide the audience through the basic quantification of associated risks.| Period | 15 May 2018 |
|---|---|
| Event title | Pint of Science Festival: Drink, taste, and community: what pubs do for us |
| Event type | Other |
| Location | Glasgow, United KingdomShow on map |
Documents & Links
Related content
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Research output
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HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC
Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Low-fidelity modelling for aerodynamic characteristics of re-entry objects
Research output: Chapter in Book/Report/Conference proceeding › Chapter
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FOSTRAD: An advanced open source tool for re-entry analysis
Research output: Contribution to conference › Paper
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Sensitivity analysis and probabilistic re-entry modeling for debris using high dimensional model representation based uncertainty treatment
Research output: Contribution to journal › Article › peer-review
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Analysis of the de-orbiting and re-entry of space objects with high area to mass ratio
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
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Aero-thermal re-entry sensitivity analysis using DSMC and a high dimensional model representation-based approach
Research output: Contribution to conference › Paper › peer-review
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Uncertainty treatment in the GOCE re-entry
Research output: Contribution to conference › Paper › peer-review
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DSMC-based correction factor for low-fidelity hypersonic aerodynamics of re-entering objects and space debris
Research output: Contribution to conference › Paper
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Debris re-entry modeling using high dimensional derivative based uncertainty quantification
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
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Projects
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Stardust-R (Stardust Reloaded) H2020 MCSA ITN 2018
Project: Research
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EXPRO+ Benchmarking re-entry prediction uncertainties
Project: Research