Improvement of burst capacity model for pipelines containing dent-gouges using Gaussian process regression
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Elsevier BV
Subject
Civil and Structural Engineering
Reference35 articles.
1. Machine learning prediction of structural response for FRP retrofitted RC slabs subjected to blast loading;Almustafa;Eng Struct,2021
2. Fracture assessment of dented pipes with cracks and reliability-based calibration of safety factor;Bai;Int J Press Vessels Pip,1997
3. Dents in pipe;Belonos;The Oil & Gas Journal,1958
4. Blachut J, Iflefel IB. Analysis of plain and gouged dents in steel pipes subjected to pressure and moment loading. ASME Pressure Vessels and Piping Conference (Vol. 47543, pp. 209-217). American Society of Mechanical Engineers; 2006.
5. Performance testing of energy models: are we using the right statistical metrics?;Chakraborty;J Build Perform Simul,2018
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