The ability to accurately and consistently predict deformation of deep foundation pit in civil engineering is required by the designer and manager in planning and conducting construction activities. Since deformation of deep foundation pit that belongs to a multi-variable nonlinear system evolution with time-varying is vague and uncertain, it is prone to a certain degree of prediction errors. T...

The focus of the keynote paper is on the comparison of different foundation concepts for three case histories of European significance. The stadium in the Austrian city of Klagenfurt was designed and built for the EURO 2008 (Austria and Switzerland) in slightly consolidated soft lacustrine clays. The shallow foundation rests on floating stone columns installed with the vibro replacement techniq...

The three-dimensional numerical model of the foundation pit engineering is established, and fluid-structure coupling method used to calculate settlement pile adjacent railway bridge caused by excavation dewatering pit. results show that range soil around reaches 140m, within influence range, but maximum value does not exceed limit specified in design. this paper provides effective guidance for ...

Deep machine learning and reinforcement learning are two complementing fields within the study of intelligent systems. When combined, it is argued that they offer a promising path for achieving artificial general intelligence (AGI). This chapter outlines the concepts facilitating such merger of technologies and motivates a framework for building scalable intelligent machines. The prospect of ut...