Prof.
Marcus and Dr. Jiang have developed an optimization algorithm for a high speed train
design problem. The algorithm was programmed to find an optimal shape for a
train that run half of the time in tunnel, and another half outdoor. To find
the optimal shape, two high speed train shapes were selected as basis for the
shape design: one that runs in a tunnel, and one that runs outdoor. The algorithm
calculated the optimal shape of the train based on types of variables and
constraints as follows.
1.
Base
train 3D shapes
2.
Cost
function (eg. drag, aerodynamics stability measurement)
3.
Constraints
(eg. maximum width and height, minimum size of frontal car compartment)
The
initial project for this train optimization problem has been successfully
executed. Prof. Marcus and Dr. Jiang found during the process of algorithm
discovery that it can also applies to other design industries as well. The
possible designing applications are various, range from vehicle bodyworks, to
helmets, to artery shape for heart surgery, to concept for 3D animation. We are
still exploring other industries that this algorithm might be applied to.
No comments:
Post a Comment