A Kriging-Based Active Learning Algorithm for Mechanical Reliability Analysis with Time-Consuming and Nonlinear Response

<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">Variable</td><td class="align_center">Distribution type</td><td class="align_center">Mean</td><td class="align_center">Standard deviation</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left"><i>M</i></td><td class="align_center">GAUSS</td><td class="align_center">1</td><td class="align_center">0.05</td></tr><tr><td class="align_left"><i>c</i><sub>1</sub></td><td class="align_center">GAUSS</td><td class="align_center">1</td><td class="align_center">0.1</td></tr><tr><td class="align_left"><i>c</i><sub>2</sub></td><td class="align_center">GAUSS</td><td class="align_center">0.1</td><td class="align_center">0.01</td></tr><tr><td class="align_left"><i>R</i></td><td class="align_center">GAUSS</td><td class="align_center">0.5</td><td class="align_center">0.05</td></tr><tr><td class="align_left"><i>F</i><sub>1</sub></td><td class="align_center">GAUSS</td><td class="align_center">1</td><td class="align_center">0.2</td></tr><tr><td class="align_left"><i>t</i><sub>1</sub></td><td class="align_center">GAUSS</td><td class="align_center">1</td><td class="align_center">0.2</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Mean and standard deviation of all random variables.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: A Kriging-Based Active Learning Algorithm for Mechanical Reliability Analysis with Time-Consuming and Nonlinear Response 