{"id":126,"date":"2020-10-20T16:01:17","date_gmt":"2020-10-20T20:01:17","guid":{"rendered":"https:\/\/carleton.ca\/atarg\/?page_id=126"},"modified":"2020-10-26T14:27:29","modified_gmt":"2020-10-26T18:27:29","slug":"urban-wakefield-simulation","status":"publish","type":"page","link":"https:\/\/carleton.ca\/atarg\/urban-wakefield-simulation\/","title":{"rendered":"Urban Wakefield Simulation"},"content":{"rendered":"<p style=\"text-align: center;\">Due to the inherent difficulties with flight testing, simulation tools can provide valuable proving grounds.\u00a0 Small, and thus light, uninhabited vehicles flying within the confines of urban environments can often find the associated wind patterns generated by urban structures challenging to navigate.\u00a0 Therefore, <a href=\"https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/mission3_path1_topoverview_3D.jpg\">a database of common urban structures and their associated wakes<\/a> has been developed which can be used to generate wakefields for various windspeeds and angles.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-130 aligncenter\" src=\"https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/3les-240x197.png\" alt=\"\" width=\"384\" height=\"315\" srcset=\"https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/3les-240x197.png 240w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/3les-400x328.png 400w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/3les-160x131.png 160w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/3les-768x630.png 768w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/3les-360x295.png 360w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/3les.png 1492w\" sizes=\"(max-width: 384px) 100vw, 384px\" \/><\/p>\n<p style=\"text-align: center;\">Using both Reynolds Averaged Navier-Stokes Simulations (RANS) and Large Eddy Simulations (LES), these wakefields are used to evaluate their effect on the autonomous flight of a small quadcopter.\u00a0 Results using both RANS and LES for a quadcopter hovering within the wake of a building <a href=\"https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/hover.png\">can vary by as much as two orders of magnitude<\/a>.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-129 aligncenter\" src=\"https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/ransles-240x174.png\" alt=\"\" width=\"431\" height=\"312\" srcset=\"https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/ransles-240x174.png 240w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/ransles-400x290.png 400w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/ransles-160x116.png 160w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/ransles-768x556.png 768w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/ransles-360x261.png 360w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/ransles.png 1422w\" sizes=\"(max-width: 431px) 100vw, 431px\" \/><\/p>\n<p style=\"text-align: center;\">Indeed, while hovering within a building wake a RANS simulation will predict position variations on the order of plus\/minus 1 body length compared to +12\/-4 body lengths if the building wake is represented by an LES simulation.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-132 aligncenter\" src=\"https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/risemission-240x222.png\" alt=\"\" width=\"385\" height=\"356\" srcset=\"https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/risemission-240x222.png 240w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/risemission-400x369.png 400w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/risemission-160x148.png 160w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/risemission-768x709.png 768w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/risemission-1536x1418.png 1536w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/risemission-360x332.png 360w, https:\/\/carleton.ca\/atarg\/wp-content\/uploads\/risemission.png 1590w\" sizes=\"(max-width: 385px) 100vw, 385px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Due to the inherent difficulties with flight testing, simulation tools can provide valuable proving grounds.\u00a0 Small, and thus light, uninhabited vehicles flying within the confines of urban environments can often find the associated wind patterns generated by urban structures challenging to navigate.\u00a0 Therefore, a database of common urban structures and their associated wakes has been [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Urban 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