Analysis of Bridge Health Detection Based on Data Fusion

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Environment</td><td class="align_center">Material</td><td class="align_center">Stress</td><td class="align_center">Human Factor</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Corrosion</td><td class="align_center">Aging</td><td class="align_center">Fatigue</td><td class="align_center">Low construction quality</td></tr><tr><td class="align_left">Vibration</td><td class="align_center">Prestress relaxation</td><td class="align_center">Sheath cracking</td><td class="align_center">Not timely inspection</td></tr><tr><td class="align_left"> </td><td class="align_center">Material defects</td><td class="align_center"> </td><td class="align_center"> </td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td><div>Note. Aging is the degradation of materials due to the decrease in molecular coalescence. Sheath cracking is the cracking caused by repeated cooperative deformation of sheath and steel wire under high stress state.<br/></div></td></tr></table>

<div>Durability risk factors of stay cables.</div>

Advances in Civil Engineering

tab2

Table 2

Table 2: Analysis of Bridge Health Detection Based on Data Fusion 