Machine Learning Applications in Structural Engineering

Machine learning is an artificial intelligence method applied to provide a machine with various abilities such as perception, problem-solving, decision-making, and inference that are unique to human intelligence. With this method, the machine is trained using a data set for the problem to be solved and prediction models are created. The resulting model is based on a mathematical relationship that the machine extracts based on the data. This relationship that the machine establishes between data attributes within itself makes it possible to infer new attributes. Machine learning has supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning options. This method, which has a wide range of applications, has been used effectively in solving many structural engineering problems. In this study, the machine learning method and the studies on its development and applications in the field of structural engineering are described. In addition, a structural engineering study using machine learning is presented.