Physics-Informed Neural Networks: The Future of Structural Analysis Artificial Intelligence is rapidly reshaping structural engineering, but one of the biggest challenges remains ensuring that AI models produce physically meaningful and reliable predictions. Traditional neural networks often require enormous datasets and may generate results that violate fundamental engineering principles. Physics-Informed Neural Networks (PINNs) address this challenge […]