Searching for objects in turbulent seas

Share via AddThis
Posted July 1, 2013

Imagine an object was dropped in the stormy sea. It may be a life raft, a person overboard or a black box from an aircraft. One needs to find it, or at least predict where to search for it.

 

Even if dominant currents and winds at the time of the search and rescue operation are known, it is impossible to predict the position of the missing object because its motion is random and unpredictable.

Such a complex unpredictable motion is known as turbulence.

Oceanographers employ thousands of satellite-tracked surface drifting buoys to study chaotic motion in the ocean.

This information is then used to predict how far the missing object moves away from the initial location.

ANU scientists Dr Hua Xia, Dr Nicolas Francois, Dr Horst Punzmann and Professor Michael Shats undertook modelling of these extremely complex types of flows using turbulence generated in the laboratory.

After several years of developing a means of producing turbulence, and developing computer algorithms for tracking large number of particles, they obtained results of great practical and fundamental importance.

“We generated flows in the laboratory by producing strong waves on the water surface and by following the motion of the test particles on the surface with high precision,” Dr Xia said.

Read more at: Phys.org



54,023 science & technology articles

Categories

Our Articles (see all)

General News

Follow us

Facebook   Twitter   Pinterest   StumbleUpon   Plurk
Google+   Tumblr   Delicious   RSS   Newsletter via Email

Featured Video (see all)


Using static electricity, insect-sized flying robots can land and stick to surfaces
Small drones need to stay aloft do their jobs — whether that’s searching for dangerous gas leaks or…

Featured Image (see all)


Robots Get Creative To Cut Through Clutter
Clutter is a special challenge for robots, but new Carnegie Mellon University software is helping robots cope, whether…