The implementa􀆟on of ar􀆟ficial intelligence (AI) in civil engineering: review and case study

Abstract

this work delves into the realm of ar􀆟ficial intelligence (AI) and its profound impact on civil engineering prac􀆟ces. Through a me􀆟culous review of exis􀆟ng AI algorithms, such as ar􀆟ficial neural networks, gene􀆟c algorithms, random forests, and others, we explore their implementa􀆟on in civil engineering to evaluate and compute various parameters such as bearing capacity, structural health monitoring, and more. Addi􀆟onally mul􀆟ple AI frameworks are presented in this work, encompassing both open-source and commercial frameworks. A case study is included, where the bearing capacity of a shallow founda􀆟on is evaluated using the neural network algorithm. The bearing capacity is computed based solely on the outcomes of the dynamic probing test and soil density.