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These are the user uploaded subtitles that are being translated: 1 00:00:06,710 --> 00:00:10,550 You’re on an airplane when you feel a sudden jolt. 2 00:00:10,550 --> 00:00:13,260 Outside your window nothing seems to be happening, 3 00:00:13,260 --> 00:00:17,320 yet the plane continues to rattle you and your fellow passengers 4 00:00:17,320 --> 00:00:21,460 as it passes through turbulent air in the atmosphere. 5 00:00:21,460 --> 00:00:23,929 Although it may not comfort you to hear it, 6 00:00:23,929 --> 00:00:28,339 this phenomenon is one of the prevailing mysteries of physics. 7 00:00:28,339 --> 00:00:31,353 After more than a century of studying turbulence, 8 00:00:31,353 --> 00:00:34,473 we’ve only come up with a few answers for how it works 9 00:00:34,473 --> 00:00:36,823 and affects the world around us. 10 00:00:36,823 --> 00:00:39,283 And yet, turbulence is ubiquitous, 11 00:00:39,283 --> 00:00:44,143 springing up in virtually any system that has moving fluids. 12 00:00:44,143 --> 00:00:47,313 That includes the airflow in your respiratory tract. 13 00:00:47,313 --> 00:00:49,663 The blood moving through your arteries. 14 00:00:49,663 --> 00:00:53,073 And the coffee in your cup, as you stir it. 15 00:00:53,073 --> 00:00:55,313 Clouds are governed by turbulence, 16 00:00:55,313 --> 00:01:00,893 as are waves crashing along the shore and the gusts of plasma in our sun. 17 00:01:00,893 --> 00:01:04,043 Understanding precisely how this phenomenon works 18 00:01:04,043 --> 00:01:07,933 would have a bearing on so many aspects of our lives. 19 00:01:07,933 --> 00:01:09,313 Here’s what we do know. 20 00:01:09,313 --> 00:01:12,813 Liquids and gases usually have two types of motion: 21 00:01:12,813 --> 00:01:15,933 a laminar flow, which is stable and smooth; 22 00:01:15,933 --> 00:01:21,253 and a turbulent flow, which is composed of seemingly unorganized swirls. 23 00:01:21,253 --> 00:01:23,723 Imagine an incense stick. 24 00:01:23,723 --> 00:01:29,503 The laminar flow of unruffled smoke at the base is steady and easy to predict. 25 00:01:29,503 --> 00:01:30,936 Closer to the top, however, 26 00:01:30,936 --> 00:01:33,896 the smoke accelerates, becomes unstable, 27 00:01:33,896 --> 00:01:38,426 and the pattern of movement changes to something chaotic. 28 00:01:38,426 --> 00:01:40,336 That’s turbulence in action, 29 00:01:40,336 --> 00:01:44,766 and turbulent flows have certain characteristics in common. 30 00:01:44,766 --> 00:01:48,556 Firstly, turbulence is always chaotic. 31 00:01:48,556 --> 00:01:50,596 That’s different from being random. 32 00:01:50,596 --> 00:01:55,386 Rather, this means that turbulence is very sensitive to disruptions. 33 00:01:55,386 --> 00:01:57,854 A little nudge one way or the other 34 00:01:57,854 --> 00:02:01,514 will eventually turn into completely different results. 35 00:02:01,514 --> 00:02:05,094 That makes it nearly impossible to predict what will happen, 36 00:02:05,094 --> 00:02:09,814 even with a lot of information about the current state of a system. 37 00:02:09,814 --> 00:02:12,242 Another important characteristic of turbulence 38 00:02:12,242 --> 00:02:16,562 is the different scales of motion that these flows display. 39 00:02:16,562 --> 00:02:21,192 Turbulent flows have many differently-sized whirls called eddies, 40 00:02:21,192 --> 00:02:25,572 which are like vortices of different sizes and shapes. 41 00:02:25,572 --> 00:02:28,837 All those differently-sized eddies interact with each other, 42 00:02:28,837 --> 00:02:31,227 breaking up to become smaller and smaller 43 00:02:31,227 --> 00:02:34,887 until all that movement is transformed into heat, 44 00:02:34,887 --> 00:02:38,457 in a process called the “energy cascade." 45 00:02:38,457 --> 00:02:40,817 So that’s how we recognize turbulence– 46 00:02:40,817 --> 00:02:42,557 but why does it happen? 47 00:02:42,557 --> 00:02:46,657 In every flowing liquid or gas there are two opposing forces: 48 00:02:46,657 --> 00:02:48,757 inertia and viscosity. 49 00:02:48,757 --> 00:02:52,167 Inertia is the tendency of fluids to keep moving, 50 00:02:52,167 --> 00:02:54,167 which causes instability. 51 00:02:54,167 --> 00:02:56,817 Viscosity works against disruption, 52 00:02:56,817 --> 00:02:59,877 making the flow laminar instead. 53 00:02:59,877 --> 00:03:01,917 In thick fluids such as honey, 54 00:03:01,917 --> 00:03:04,687 viscosity almost always wins. 55 00:03:04,687 --> 00:03:09,687 Less viscous substances like water or air are more prone to inertia, 56 00:03:09,687 --> 00:03:14,210 which creates instabilities that develop into turbulence. 57 00:03:14,210 --> 00:03:17,310 We measure where a flow falls on that spectrum 58 00:03:17,310 --> 00:03:19,980 with something called the Reynolds number, 59 00:03:19,980 --> 00:03:24,230 which is the ratio between a flow’s inertia and its viscosity. 60 00:03:24,230 --> 00:03:25,940 The higher the Reynolds number, 61 00:03:25,940 --> 00:03:29,200 the more likely it is that turbulence will occur. 62 00:03:29,200 --> 00:03:31,792 Honey being poured into a cup, for example, 63 00:03:31,792 --> 00:03:34,512 has a Reynolds number of about 1. 64 00:03:34,512 --> 00:03:39,762 The same set up with water has a Reynolds number that’s closer to 10,000. 65 00:03:39,762 --> 00:03:43,265 The Reynolds number is useful for understanding simple scenarios, 66 00:03:43,265 --> 00:03:46,595 but it’s ineffective in many situations. 67 00:03:46,595 --> 00:03:50,595 For example, the motion of the atmosphere is significantly influenced 68 00:03:50,595 --> 00:03:55,335 by factors including gravity and the earth’s rotation. 69 00:03:55,335 --> 00:04:00,024 Or take relatively simple things like the drag on buildings and cars. 70 00:04:00,024 --> 00:04:03,886 We can model those thanks to many experiments and empirical evidence. 71 00:04:03,886 --> 00:04:08,686 But physicists want to be able to predict them through physical laws and equations 72 00:04:08,690 --> 00:04:13,790 as well as we can model the orbits of planets or electromagnetic fields. 73 00:04:13,790 --> 00:04:17,935 Most scientists think that getting there will rely on statistics 74 00:04:17,935 --> 00:04:20,049 and increased computing power. 75 00:04:20,049 --> 00:04:23,869 Extremely high-speed computer simulations of turbulent flows 76 00:04:23,869 --> 00:04:27,869 could help us identify patterns that could lead to a theory 77 00:04:27,869 --> 00:04:33,479 that organizes and unifies predictions across different situations. 78 00:04:33,479 --> 00:04:37,291 Other scientists think that the phenomenon is so complex 79 00:04:37,291 --> 00:04:41,951 that such a full-fledged theory isn’t ever going to be possible. 80 00:04:41,951 --> 00:04:43,775 Hopefully we’ll reach a breakthrough, 81 00:04:43,775 --> 00:04:47,896 because a true understanding of turbulence could have huge positive impacts. 82 00:04:47,896 --> 00:04:50,546 That would include more efficient wind farms; 83 00:04:50,546 --> 00:04:53,966 the ability to better prepare for catastrophic weather events; 84 00:04:53,966 --> 00:04:57,836 or even the power to manipulate hurricanes away. 85 00:04:57,836 --> 00:05:03,017 And, of course, smoother rides for millions of airline passengers.7314

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