Predicting the mechanical strength of structural elements is a crucial task for efficient design buildings. Considering shortcomings experimental and empirical approaches, there growing interest in using artificial intelligence techniques to develop data-driven tools this purpose. In research, empowered machine learning was employed analyze axial compression capacity (CC) circular concrete-fill...

To optimize the design of stone columns composite foundation for liquefiable ground improvement in Tibar Bay Port Project, a 3D Finite Element (FE) analysis is implemented on earthquake response and liquefaction mitigation effect. Nine schemes are designed with orthogonal method. Taking peak acceleration excess pore pressure ratio as target indicators, influences four factors, including diamete...