Geotechnical Engineering

Geotechnical engineering focuses on understanding and managing the behavior of soil and rock to design and construct safe and sustainable infrastructure. Current research emphasizes developing more accurate and efficient predictive models, leveraging machine learning techniques like deep neural networks, physics-informed neural networks, and large language models to analyze complex datasets and improve predictions of phenomena such as pile driving vibrations and landslide susceptibility. These advancements, coupled with improved data acquisition methods like laser scanning and image analysis, are enhancing the precision and speed of geotechnical analyses, leading to more robust designs and optimized construction practices.