Predicting GPR Signals from Concrete Structures Using Artificial Intelligence-Based Method

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Specimen name</td><td class="align_center">Chloride (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">SPC1 (control)</td><td class="align_center">0.00</td></tr><tr><td class="align_left">SPC2</td><td class="align_center">0.02</td></tr><tr><td class="align_left">SPC3</td><td class="align_center">0.04</td></tr><tr><td class="align_left">SPC4</td><td class="align_center">0.06</td></tr><tr><td class="align_left">SPC5</td><td class="align_center">0.08</td></tr><tr><td class="align_left">SPC6</td><td class="align_center">0.10</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Detailed slab specimens with different chloride contamination levels.</div>

Advances in Civil Engineering

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Table 1

Table 1: Predicting GPR Signals from Concrete Structures Using Artificial Intelligence-Based Method 