Data-Driven Decision-Making in the Design Optimization of Thin-Walled Steel Perforated Sections: A Case Study

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="10"><hr/></td></tr><tr><td class="align_left">Input index</td><td class="align_center">WW</td><td class="align_center">CT</td><td class="align_center">FW</td><td class="align_center">OS</td><td class="align_center">CL</td><td class="align_center">RHA</td><td class="align_center">BN</td><td class="align_center">RAN</td><td class="align_center">RN</td></tr><tr><td class="align_left">Output index</td><td class="align_center" colspan="9">ULC</td></tr><tr class="table-tr"><td colspan="10"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Mapping relation of input and output indicators of the prediction model.</div>

Advances in Civil Engineering

tab4

Table 4

Table 4: Data-Driven Decision-Making in the Design Optimization of Thin-Walled Steel Perforated Sections: A Case Study 