Comparison of statistical and machine learning approaches to modeling earthquake damage to water pipelines-Reference-Cited by-同舟云学术

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Comparison of statistical and machine learning approaches to modeling earthquake damage to water pipelines

Published:2018-09 Issue: Volume:112 Page:76-88
ISSN:0267-7261
Container-title:Soil Dynamics and Earthquake Engineering
language:en
Short-container-title:Soil Dynamics and Earthquake Engineering

Author:

Bagriacik Adam,Davidson Rachel A.,Hughes Matthew W.,Bradley Brendon A.,Cubrinovski Misko

Funder

QuakeCoRE: The NZ Centre for Earthquake Resilience

Publisher

Elsevier BV

Subject

Soil Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Reference65 articles.

1. O’Rourke MJ, Liu X. Seismic design of buried and offshore pipelines. MCEER Monograph MCEER-12-MN04; 2012.

2. Factors influencing the behavior of buried pipelines subjected to earthquake faulting;Abdoun;Soil Dyn Earthq Eng,2008

3. Damage to buried water supply pipelines in the chichi (Taiwan) earthquake and a preliminary evaluation of seismic resistance of pipe joints;Tsai;J Chin Inst Eng,2000

4. A physical probabilistic model to predict failure rates in buried PVC pipelines;Davis;Reliab Eng Syst Saf,2007

5. Finite element analysis of buried steel pipelines under strike-slip fault displacements;Vazouras;Soil Dyn Earthq Eng,2010

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