Jia-Long Li

A Data-Driven Two-Layer Case-Based Reasoning Framework for Intelligent Deep Excavation Retaining Structure Selection Under Incomplete Information

In early-stage projects, incomplete geological data can affect the selection of retaining structures for deep excavations. This paper proposes an adaptive two-layer Case-Based Reasoning (CBR) framework to address this issue. First, a case database was constructed; feature interaction terms were incorporated into the si...