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Abstract:
For the drawbacks of complex buried pipeline structural performance function and large amount of calculation of nonlinear problems and to obtain the influence on pipeline failure probability of the shear wave velocity, characteristic period, pipeline diameter, wall thickness, seismic wave incidence angle in different site types. Firstly based on the FOSM of traditional reliability analysis, the artificial neural network is introduced to do intelligent analysis and the failure probability is calculated separately in different site types. The comparison with FOSM shows that the results are reliable. Secondly, the commonly used gray cast iron pipeline at home is analyzed. Finally, some meaningful conclusions that siteIand IV are respectively the most favorable and disadvantaged sections, the buried pipeline seismic capacity can be improved by the method of increasing pipe diameter and wall thickness in site II, III, are obtained. © 2015 ejge.
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Electronic Journal of Geotechnical Engineering
Year: 2015
Issue: 23
Volume: 20
Page: 11693-11705
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 4
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