Multi-fidelity knowledge inheritance with active querying for data-driven clogging prediction during mechanized tunneling

Data source language:

• English

Data reference:

Contributors of raw data:

• Xiao Yuan / Central South University

Data description:

• The dataset consists of two primary components: the data itself and the implementation code for constructing the multi-fidelity model. The data component comprises two types of sources: low-fidelity data derived from chart-based knowledge, and high-fidelity engineering data collected from actual shield tunneling projects. Both types of data include shield tunneling parameters along with the corresponding geological parameters.

Keywords and subjects:

• Muck clogging, Mechanized tunneling, Multi-fidelity knowledge inheritance

Availability:

• publicly accessible