Zheng-Xu Zhu

Machine Learning Surrogate Modeling for Rapid Prediction Response in Automated Fem Pipelines: A Comparative Study With Uncertainty Quantification

New construction in densely populated urban areas inevitably disturbs existing buildings. Real-time assessment of the mechanical response of disturbed structures is crucial for construction safety, but traditional finite element analysis is difficult to meet real-time monitoring requirements due to its computationally...