A systematic and bibliometric review on physics-based neural networks applications as a solution for structural engineering partial differential equations
The advancement of computational methods in structural engineering has significantly
benefited from the integration of machine learning techniques, particularly in solving …
benefited from the integration of machine learning techniques, particularly in solving …
Developing a physics-informed and physics-penalized neural network model for preliminary design of multi-stage friction pendulum bearings
A Habib, U Yildirim - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Over the last few decades, the field of base isolation systems has made significant strides
forward by developing new systems to improve the behavior of isolated structures under …
forward by developing new systems to improve the behavior of isolated structures under …
Physics-Based Neural Networks for the Characterization and Behavior Assessment of Construction Materials
The study of construction materials is essential for advancing civil engineering and ensuring
the development of safe, durable, and efficient structures. Traditional methods for …
the development of safe, durable, and efficient structures. Traditional methods for …