Enhancing Empirical Predictions from CPTU Data Using a Hierarchical Bayesian Framework with Adaptive Model WeightingSource: Journal of Geotechnical and Geoenvironmental Engineering:;2026:;Volume ( 152 ):;issue: 008::page 04026058-1Author:Xiong, Haibin
,
Dai, Shaoheng
,
Shan, Feng
,
He, Xuzhen
,
Tong, Chenxi
,
Zhang, Sheng
,
Sheng, Daichao
DOI: 10.1061/JGGEFK.GTENG-14713Publisher: American Society of Civil Engineers
Abstract: AbstractEmpirical correlations are extensively employed in geotechnical engineering for their
practical simplicity, yet their deterministic nature and neglect of inherent uncertainties
often constrain their predictive reliability. This study proposes a ...
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| contributor author | Xiong, Haibin | |
| contributor author | Dai, Shaoheng | |
| contributor author | Shan, Feng | |
| contributor author | He, Xuzhen | |
| contributor author | Tong, Chenxi | |
| contributor author | Zhang, Sheng | |
| contributor author | Sheng, Daichao | |
| date accessioned | 2026-08-20T10:59:06Z | |
| date available | 2026-08-20T10:59:06Z | |
| date copyright | 2026/06/01 | |
| date issued | 2026 | |
| identifier other | JGGEFK.GTENG-14713.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311533 | |
| description abstract | AbstractEmpirical correlations are extensively employed in geotechnical engineering for their practical simplicity, yet their deterministic nature and neglect of inherent uncertainties often constrain their predictive reliability. This study proposes a ... | |
| publisher | American Society of Civil Engineers | |
| title | Enhancing Empirical Predictions from CPTU Data Using a Hierarchical Bayesian Framework with Adaptive Model Weighting | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 8 | |
| journal title | Journal of Geotechnical and Geoenvironmental Engineering | |
| identifier doi | 10.1061/JGGEFK.GTENG-14713 | |
| journal fristpage | 04026058-1 | |
| journal lastpage | 04026058-19 | |
| page | 19 | |
| tree | Journal of Geotechnical and Geoenvironmental Engineering:;2026:;Volume ( 152 ):;issue: 008 | |
| contenttype | Fulltext |