Turbulence One of the great unsolved mysteries of physics Toms Chor

You’re on an airplane
when you feel a sudden jolt.

Outside your window nothing
seems to be happening,

yet the plane continues to rattle
you and your fellow passengers

as it passes through turbulent air
in the atmosphere.

Although it may not comfort
you to hear it,

this phenomenon is one of the
prevailing mysteries of physics.

After more than a century
of studying turbulence,

we’ve only come up with a few
answers for how it works

and affects the world around us.

And yet, turbulence is ubiquitous,

springing up in virtually any system
that has moving fluids.

That includes the airflow
in your respiratory tract.

The blood moving through your arteries.

And the coffee in your cup,
as you stir it.

Clouds are governed by turbulence,

as are waves crashing along the shore
and the gusts of plasma in our sun.

Understanding precisely how this
phenomenon works

would have a bearing on so many
aspects of our lives.

Here’s what we do know.

Liquids and gases usually have
two types of motion:

a laminar flow, which is stable
and smooth;

and a turbulent flow, which is composed
of seemingly unorganized swirls.

Imagine an incense stick.

The laminar flow of unruffled smoke
at the base is steady and easy to predict.

Closer to the top, however,

the smoke accelerates, becomes unstable,

and the pattern of movement changes
to something chaotic.

That’s turbulence in action,

and turbulent flows have certain
characteristics in common.

Firstly, turbulence is always chaotic.

That’s different from being random.

Rather, this means that turbulence
is very sensitive to disruptions.

A little nudge one way or the other

will eventually turn into
completely different results.

That makes it nearly impossible
to predict what will happen,

even with a lot of information
about the current state of a system.

Another important characteristic of
turbulence

is the different scales of motion
that these flows display.

Turbulent flows have many
differently-sized whirls called eddies,

which are like vortices of
different sizes and shapes.

All those differently-sized eddies
interact with each other,

breaking up to become smaller and smaller

until all that movement is
transformed into heat,

in a process called the “energy cascade."

So that’s how we recognize turbulence–

but why does it happen?

In every flowing liquid or gas there
are two opposing forces:

inertia and viscosity.

Inertia is the tendency of fluids
to keep moving,

which causes instability.

Viscosity works against disruption,

making the flow laminar instead.

In thick fluids such as honey,

viscosity almost always wins.

Less viscous substances like water or air
are more prone to inertia,

which creates instabilities that
develop into turbulence.

We measure where a flow falls
on that spectrum

with something called the Reynolds number,

which is the ratio between a flow’s
inertia and its viscosity.

The higher the Reynolds number,

the more likely it is that
turbulence will occur.

Honey being poured into a cup,
for example,

has a Reynolds number of about 1.

The same set up with water has a Reynolds
number that’s closer to 10,000.

The Reynolds number is useful for
understanding simple scenarios,

but it’s ineffective in many situations.

For example, the motion of the atmosphere
is significantly influenced

by factors including gravity and the
earth’s rotation.

Or take relatively simple things
like the drag on buildings and cars.

We can model those thanks to many
experiments and empirical evidence.

But physicists want to be able to predict
them through physical laws and equations

as well as we can model the orbits
of planets or electromagnetic fields.

Most scientists think that getting there
will rely on statistics

and increased computing power.

Extremely high-speed computer simulations
of turbulent flows

could help us identify patterns that could
lead to a theory

that organizes and unifies predictions
across different situations.

Other scientists think that the phenomenon
is so complex

that such a full-fledged theory
isn’t ever going to be possible.

Hopefully we’ll reach a breakthrough,

because a true understanding of turbulence
could have huge positive impacts.

That would include more
efficient wind farms;

the ability to better prepare for
catastrophic weather events;

or even the power to manipulate
hurricanes away.

And, of course, smoother rides
for millions of airline passengers.

当你感到突然颠簸时,你正在飞机上。

在您的窗外似乎什么都没有
发生,

但是当飞机穿过大气中的湍流空气时,它继续让
您和您的其他乘客

感到不安

虽然听到它可能不会
让你感到安慰,但

这种现象是
物理学中普遍存在的谜团之一。

在研究了一个多世纪
的湍流之后,

我们只是想出了一些
关于它如何工作

并影响我们周围世界的答案。

然而,湍流无处不在,

几乎在任何
有流动流体的系统中都会出现。

这包括
呼吸道中的气流。

血液流经你的动脉。

还有你杯子里的咖啡,
当你搅拌它的时候。

云受到湍流的

支配,沿着海岸撞击的海浪
和太阳中的等离子阵风也是如此。

准确了解这种
现象的运作方式

将对我们生活的许多方面产生影响。

这是我们所知道的。

液体和气体通常有
两种运动方式

:层流,
稳定流畅;

以及由
看似无组织的漩涡组成的湍流。

想象一根香棒。 底部

的平顺烟雾层流
稳定且易于预测。

然而,靠近顶部时,

烟雾会加速,变得不稳定,

并且运动模式
会变得混乱。

这就是行动中的湍流,

湍流具有某些
共同特征。

首先,动荡总是混乱的。

这与随意不同。

相反,这意味着湍流
对中断非常敏感。

以一种或另一种方式轻轻推动

最终会变成
完全不同的结果。

这使得几乎
不可能预测会发生什么,

即使有很多
关于系统当前状态的信息。 湍流的

另一个重要特征

是这些流动表现出的不同运动尺度

湍流有许多
不同大小的漩涡,称为涡流,

它们就像
不同大小和形状的漩涡。

所有这些不同大小的涡流
相互影响,

分解变得越来越小,

直到所有运动都
转化为热量,

在一个称为“能量级联”的过程中。

这就是我们识别湍流的方式——

但为什么会发生呢?

在每一种流动的液体或气体中,
都有两种相反的力:

惯性和粘度。

惯性是
流体保持运动的趋势,

这会导致不稳定性。

粘度对抗破坏,

使流动变成层流。

在蜂蜜等稠稠流体中,

粘度几乎 总是赢。

像水或空气这样粘性较小的物质
更容易产生惯性,

这会产生不稳定并
发展成湍流。

我们用雷诺数来衡量流动
落在该光谱

上的位置,

这是流动的
惯性与其惯性之间的比率 粘度

。雷诺数越高,

越容易发生湍流。例如,将

蜂蜜倒入杯子中,

雷诺数约为

1。T 与水相同的设置
具有接近 10,000 的雷诺数。

雷诺数对于
理解简单的场景很有用,

但在很多情况下它是无效的。

例如,大气的运动
受到

重力和
地球自转等因素的显着影响。

或者采取相对简单的事情,
例如建筑物和汽车的阻力。

由于许多实验和经验证据,我们可以对这些进行建模

但是物理学家希望能够
通过物理定律和方程

来预测它们,并且我们可以模拟
行星或电磁场的轨道。

大多数科学家认为,实现这一目标
将依赖于统计数据

和增强的计算能力。 湍流的

超高速计算机模拟

可以帮助我们识别模式,这些模式可能
会导致一种理论,该理论

可以组织和统一
不同情况下的预测。

其他科学家认为,这种现象
非常复杂

,以至于不可能有这样一个成熟的
理论。

希望我们能取得突破,

因为真正了解湍流
可能会产生巨大的积极影响。

这将包括更
高效的风电场;

更好地为灾难性天气事件做准备的能力

甚至是操纵飓风的力量

当然,为数百万航空公司乘客提供更顺畅的乘坐体验