AI (artificial intelligence) and ML (machine learning) can help with a great many things. One such example is making strength predictions in steel columns to ensure strong and resilient infrastructure—which is much needed in today’s age of growing natural disasters.
Concrete-filled steel tube columns are often ideal for building stronger buildings and infrastructure, and now researchers are doing experiments to predict their properties. The challenge is the data is limited.
Enter a research team led by Associate Professor Jin-Kook Kim of Seoul National University of Science and Technology, which presented and verified a hybrid machine learning model capable of accurately predicting the axial strength of these columns. The researchers employed a form of generative AI to create a synthetic database.
Here is how this can help:
- Evaluate the performance of the proposed model.
- Better accuracy, achieving lower error rates across many metrics.
- Create safer and more efficient designs using these columns.
As we look to build cities and infrastructure of the future, we must consider how to do it in a way that is strong and resilient. These structures must stand up to climate change and extreme weather events. Certainly, AI and ML will help pave the way for better building and infrastructure.