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Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards Volume 15, 2021 - Issue 2
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Probabilistic estimation of variogram parameters of geotechnical properties with a trend based on Bayesian inference using Markov chain Monte Carlo simulation

Jiabao Xua State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of ChinaView further author information
,
Lulu Zhanga State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of ChinaCorrespondence[email protected]
View further author information
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Jinhui Lic Department of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of ChinaView further author information
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Zijun Caod State Key Laboratory of Water Resources and Hydropower Engineering Science, Key Laboratory of Rock Mechanics in Hydraulic Structural Engineering (Ministry of Education), Wuhan University, Wuhan, People’s Republic of ChinaView further author information
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Haoqing Yanga State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of ChinaView further author information
&
Xiangyu Chena State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China;b Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, People’s Republic of ChinaView further author information
Pages 83-97 | Received 04 Aug 2019, Accepted 15 Apr 2020, Published online: 04 May 2020

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Read on this site (3)

Ze Zhou Wang, Siang Huat Goh & Wengang Zhang. (2023) Reliability-based design in spatially variable soils using deep learning: an illustration using shallow foundation. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:2, pages 423-437.
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Yangming Chen, Lulu Zhang, Xin Wei, Mingjing Jiang, Chencong Liao & Hailei Kou. (2023) Simulation of runout behavior of submarine debris flows over regional natural terrain considering material softening. Marine Georesources & Geotechnology 41:2, pages 175-194.
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Tengyuan Zhao, Jieyang Lei & Ling Xu. (2022) An efficient Bayesian method for estimating runout distance of region-specific landslides using sparse data. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:1, pages 140-153.
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Articles from other publishers (1)

Hao-Qing Yang, Lulu Zhang, Qiujing Pan, Kok-Kwang Phoon & Zhichao Shen. (2020) Bayesian estimation of spatially varying soil parameters with spatiotemporal monitoring data. Acta Geotechnica 16:1, pages 263-278.
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