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Soubra, Abdul-Hamid, Al-Bittar, Tamara, Thajeel, Jawad, Ahmed, Ashraf (2019) Probabilistic analysis of strip footings resting on spatially varying soils using kriging metamodeling and importance sampling. Computers and Geotechnics, 114. 103107 doi:10.1016/j.compgeo.2019.103107

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Reference TypeJournal (article/letter/editorial)
TitleProbabilistic analysis of strip footings resting on spatially varying soils using kriging metamodeling and importance sampling
JournalComputers and Geotechnics
AuthorsSoubra, Abdul-HamidAuthor
Al-Bittar, TamaraAuthor
Thajeel, JawadAuthor
Ahmed, AshrafAuthor
Year2019 (October)Volume114
PublisherElsevier BV
DOIdoi:10.1016/j.compgeo.2019.103107Search in ResearchGate
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Mindat Ref. ID1007697Long-form Identifiermindat:1:5:1007697:2
GUID0
Full ReferenceSoubra, Abdul-Hamid, Al-Bittar, Tamara, Thajeel, Jawad, Ahmed, Ashraf (2019) Probabilistic analysis of strip footings resting on spatially varying soils using kriging metamodeling and importance sampling. Computers and Geotechnics, 114. 103107 doi:10.1016/j.compgeo.2019.103107
Plain TextSoubra, Abdul-Hamid, Al-Bittar, Tamara, Thajeel, Jawad, Ahmed, Ashraf (2019) Probabilistic analysis of strip footings resting on spatially varying soils using kriging metamodeling and importance sampling. Computers and Geotechnics, 114. 103107 doi:10.1016/j.compgeo.2019.103107
In(2019) Computers and Geotechnics Vol. 114. Elsevier BV

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Al-Bittar, Tamara, Soubra, Abdul-Hamid, Thajeel, Jawad (2018) Kriging-Based Reliability Analysis of Strip Footings Resting on Spatially Varying Soils. Journal of Geotechnical and Geoenvironmental Engineering, 144 (10). 4018071pp. doi:10.1061/(asce)gt.1943-5606.0001958
El Haj, Abdul‐Kader, Soubra, Abdul‐Hamid, Al‐Bittar, Tamara (2019) Probabilistic analysis of strip footings based on enhanced Kriging metamodeling. International Journal for Numerical and Analytical Methods in Geomechanics, 43. 2667-2686 doi:10.1002/nag.2995
Al-Bittar, Tamara, Soubra, Abdul-Hamid (2014) Probabilistic Analysis of Strip Footings Resting on Spatially Varying Soils and Subjected to Vertical or Inclined Loads. Journal of Geotechnical and Geoenvironmental Engineering, 140 (4). 4013043pp. doi:10.1061/(asce)gt.1943-5606.0001046
Al-Bittar, Tamara, Soubra, Abdul-Hamid (2013) Bearing capacity of strip footings on spatially random soils using sparse polynomial chaos expansion. International Journal for Numerical and Analytical Methods in Geomechanics, 37. 2039-2060 doi:10.1002/nag.2120
Mao, Nut, Al-Bittar, Tamara, Soubra, Abdul-Hamid (2012) Probabilistic analysis and design of strip foundations resting on rocks obeying Hoek–Brown failure criterion. International Journal of Rock Mechanics and Mining Sciences, 49. 45-58 doi:10.1016/j.ijrmms.2011.11.005
El Haj, Abdul-Kader, Soubra, Abdul-Hamid, Fajoui, Jamal (2019) Probabilistic analysis of an offshore monopile foundation taking into account the soil spatial variability. Computers and Geotechnics, 106. 205-216 doi:10.1016/j.compgeo.2018.10.011
Shen, Zhichao, Jin, Dalong, Pan, Qiujing, Yang, Haoqing, Chian, Siau Chen (2020) Probabilistic analysis of strip footings on spatially variable soils with linearly increasing shear strength. Computers and Geotechnics, 126. 103653pp. doi:10.1016/j.compgeo.2020.103653
El Haj, Abdul-Kader, Soubra, Abdul-Hamid (2020) Efficient estimation of the failure probability of a monopile foundation using a Kriging-based approach with multi-point enrichment. Computers and Geotechnics, 121. 103451 doi:10.1016/j.compgeo.2020.103451
Soubra, Abdul-Hamid, Mao, Nut (2012) Probabilistic analysis of obliquely loaded strip foundations. Soils and Foundations, 52 (3). 524-538 doi:10.1016/j.sandf.2012.05.010
Das, Shuvankar, Chakraborty, Debarghya (2025) Probabilistic bearing capacity of eccentrically loaded strip footing on spatially random rock mass using correlation-controlled LHS sampling. Computers and Geotechnics, 177. doi:10.1016/j.compgeo.2024.106859
Salimi Eshkevari, Seyednima, Abbo, Andrew J., Kouretzis, George (2019) Bearing capacity of strip footings on layered sands. Computers and Geotechnics, 114. 103101 doi:10.1016/j.compgeo.2019.103101
 
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