Correlated sensitivities in reliability analysis and probabilistic Burland-and-Burbidge method (Unknown)
- New search for: Low, Bak Kong
- New search for: Low, Bak Kong
In:
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
;
16
, 3
;
397-412
;
2022
- Article (Journal) / Electronic Resource
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Title:Correlated sensitivities in reliability analysis and probabilistic Burland-and-Burbidge method
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Contributors:Low, Bak Kong ( author )
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Published in:
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Publisher:
- New search for: Taylor & Francis
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Publication date:2022-07-03
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Size:16 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:Unknown
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Keywords:
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Source:
Table of contents – Volume 16, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 397
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Correlated sensitivities in reliability analysis and probabilistic Burland-and-Burbidge methodLow, Bak Kong et al. | 2022
- 413
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Mobilisation-based characteristic value of shear strength for ultimate limit statesTabarroki, Mohammad / Ching, Jianye / Phoon, Kok-Kwang / Chen, Ying-Zhong et al. | 2022
- 435
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Binary classification method for efficient and accurate system reliability analyses of layered soil slopesZeng, Peng / Zhang, Tianlong / Li, Tianbin / Jimenez, Rafael / Zhang, Jie / Sun, Xiaoping et al. | 2022
- 452
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Hierarchical Bayesian approaches to statistical modelling of geotechnical dataBozorgzadeh, Nezam / Bathurst, Richard J. et al. | 2022
- 470
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Reliability-based design optimisation of geotechnical systems using a decoupled approach based on adaptive metamodelsWang, Qian / Owens, Paul et al. | 2022
- 489
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A novel approach for displacement interval forecasting of landslides with step-like displacement patternGe, Qi / Sun, Hongyue / Liu, Zhongqiang / Yang, Beibei / Lacasse, Suzanne / Nadim, Farrokh et al. | 2022
- 504
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Integration of site condition information using geographic information system for seismic risk reduction for bridge networkFarzam, Azarm / Nollet, Marie-José / Khaled, Amar et al. | 2022
- 518
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Metamodelling for geotechnical reliability analysis with noisy and incomplete modelsvan den Eijnden, A. P. / Schweckendiek, T. / Hicks, M. A. et al. | 2022
- 536
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Spatio-temporal cluster analysis of recent Italian landslidesTonini, M. / Pecoraro, G. / Romailler, K. / Calvello, M. et al. | 2022
- 555
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Definition and application of a multi-criteria algorithm to identify landslide acceleration phasesValletta, Alessandro / Carri, Andrea / Segalini, Andrea et al. | 2022
- 570
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Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in IndiaKainthura, Poonam / Sharma, Neelam et al. | 2022
- 584
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A mixed quantitative approach to evaluate rockfall risk and the maximum allowable traffic on road infrastructureMarchelli, M. / De Biagi, V. / Bertolo, D. / Paganone, M. / Peila, D. et al. | 2022
- 595
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2021 Georisk best paper award, most cited paper award and best EBM awardZhang, Limin et al. | 2022
- 596
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John T. Christian (1936–2022)Samiljan, Shirin C. / Christian, Douglas / Baecher, Gregory B. et al. | 2022