1 week ago

New optimisation trick speeds boundary-layer mathematics, with trade-offs

New optimisation trick speeds boundary-layer mathematics, with trade-offs
Old solver learns new trick · thehindubusinessline.com

Air moving over a wing forms a thin layer that affects drag and safety.

Scientists use difficult equations to understand this layer.

Ziya Uddin created a method called PI-OHAM to solve these equations more quickly.

It combines an older mathematical technique with computer-based optimisation.

The computer chooses settings that make the proposed answer obey the full physics problem.

Unlike some neural networks, the steps of the answer can still be inspected mathematically.

In a test involving the Blasius equation, PI-OHAM was much faster than two comparison methods.

It was about as accurate as a physics-informed neural network in the reported comparison.

However, the older HAM method was slightly more accurate in the most demanding test, so the new method is faster but not always more precise.

Key facts

New method
Physics-Informed Optimal Homotopy Analysis Method, or PI-OHAM
Test problem
The Blasius equation, a classic boundary-layer problem
Reference value
The wall shear parameter benchmark is 0.332057
Reported accuracy
PI-OHAM reached roughly one-part-in-a-thousand accuracy in under 50 seconds
Speed comparison
It was reported as roughly 57 times faster than a physics-informed neural network
HAM comparison
Classical HAM took more than 3,000 seconds for comparable accuracy, while PI-OHAM took about 20 seconds in the cited high-order comparison
Current limitation
The method has so far been demonstrated on only one problem and has not been applied to an Indian industrial problem

Quotes

Ziya Uddin

Computational methods researcher at BML Munjal University

“They are a black box kind of thing. They have no mathematical interpretation.”
thehindubusinessline.com
“We always try to take the approximate portion of the whole model.”
thehindubusinessline.com

Sources

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