Importance of Machine Learning in Civil Engineering

Civil engineers use machine learning to design structures faster and increase their design possibilities.

FREMONT, CA: In civil engineering, data analytics and forecasting is crucial. A wide range of uses for it includes analyzing survey data and predicting concrete's durability. The expressions, rules, and terms mentioned in the guidelines of IS codes are complicated to implement in all activities involving large amounts of data with numerous variables derived from site investigations and laboratory tests. The construction industry employs machine learning (ML) and other interdisciplinary technologies for data management to keep up with the rest of the world and other engineering fields.

Error hazard reduction: In ML, computer algorithms are utilized, which improve as they are exposed to more data over time. The use of this interdisciplinary technology can significantly reduce errors in data management and prediction. Even a few years ago, this task required high precision but was more prone to error due to the human agencies involved. Using ML has made this more convenient.