A New Procedure for Damage Assessment of Prestressed Concrete Beams Using Artificial Neural Network

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Load kN</td><td align="center">Natural frequency (Hz) at 50% damage (P7CB2)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">0</td><td align="center">21.36</td></tr><tr><td align="left">10</td><td align="center">21.36</td></tr><tr><td align="left">20</td><td align="center">21.36</td></tr><tr><td align="left">30</td><td align="center">20.75</td></tr><tr><td align="left">40</td><td align="center">20.14</td></tr><tr><td align="left">50</td><td align="center">19.53</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Advances in Artificial Neural Systems

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Table 2

Table 2: A New Procedure for Damage Assessment of Prestressed Concrete Beams Using Artificial Neural Network 