Research output per year
Research output per year
Research output
- 17 RGC 21 - Publication in refereed journal
- 17 results
Search results
-
2022
CPT-based probabilistic liquefaction assessment considering soil spatial variability, interpolation uncertainty and model uncertainty
Guan, Z. & Wang, Y., Jan 2022, In: Computers and Geotechnics. 141, 104504.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open Access41 Citations (Scopus) -
Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis
Wang, Y., Shi, C. & Li, X., 2022, In: Georisk. 16, 1, p. 2-20 19 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
37 Citations (Scopus) -
2021
Data-driven determination of sample number and efficient sampling locations for geotechnical site investigation of a cross-section using Voronoi diagram and Bayesian compressive sampling
Wang, Y. & Li, P., Feb 2021, In: Computers and Geotechnics. 130, 103898.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
22 Citations (Scopus) -
Delineating the spatial distribution of soil liquefaction potential in a cross-section from limited cone penetration tests
Guan, Z., Wang, Y. & Zhao, T., Jun 2021, In: Soil Dynamics and Earthquake Engineering. 145, 106710.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
12 Citations (Scopus) -
Development of an Efficient Response Surface Method for Highly Nonlinear Systems from Sparse Sampling Data Using Bayesian Compressive Sensing
Li, P. & Wang, Y., Dec 2021, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 7, 4Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
19 Citations (Scopus) -
Development of Subsurface Geological Cross-Section from Limited Site-Specific Boreholes and Prior Geological Knowledge Using Iterative Convolution XGBoost
Shi, C. & Wang, Y., Sept 2021, In: Journal of Geotechnical and Geoenvironmental Engineering. 147, 9, 04021082.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
99 Citations (Scopus) -
Interpolation of extremely sparse geo-data by data fusion and collaborative Bayesian compressive sampling
Xu, J., Wang, Y. & Zhang, L., Jun 2021, In: Computers and Geotechnics. 134, 104098.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
27 Citations (Scopus) -
Non-parametric construction of site-specific non-Gaussian multivariate joint probability distribution from sparse measurements
Guan, Z. & Wang, Y., Jul 2021, In: Structural Safety. 91, 102077.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
19 Citations (Scopus) -
Rational determination of cone penetration test quantity in a two-dimensional vertical cross-section for site investigation
Guan, Z. & Wang, Y., Mar 2021, In: Tunnelling and Underground Space Technology. 109, 103771.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
4 Citations (Scopus) -
Selection of Standard Penetration Test Number for Geotechnical Investigation of a Vertical Cross-section Considering Spatial Variability and Correlation in Soil Properties
Guan, Z. & Wang, Y., Nov 2021, In: Canadian Geotechnical Journal. 58, 11, p. 1654-1668Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
3 Citations (Scopus) -
Statistical Interpolation of Spatially Varying but Sparsely Measured 3D Geo-Data Using Compressive Sensing and Variational Bayesian Inference
Zhao, T. & Wang, Y., Aug 2021, In: Mathematical Geosciences. 53, 6, p. 1171–1199Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
24 Citations (Scopus) -
2020
Bayesian Supervised Learning of Site-Specific Geotechnical Spatial Variability from Sparse Measurements
Hu, Y., Wang, Y., Zhao, T. & Phoon, K.-K., Jun 2020, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 6, 2, 04020019.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
33 Citations (Scopus) -
Differentiation of discrete data with unequal measurement intervals and quantification of uncertainty in differentiation using Bayesian compressive sampling
Zhao, T. & Wang, Y., Jun 2020, In: Computers and Geotechnics. 122, 103537.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
9 Citations (Scopus) -
Non-parametric simulation of non-stationary non-gaussian 3D random field samples directly from sparse measurements using signal decomposition and Markov Chain Monte Carlo (MCMC) simulation
Zhao, T. & Wang, Y., Nov 2020, In: Reliability Engineering & System Safety. 203, 107087.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
80 Citations (Scopus) -
Probabilistic soil classification and stratification in a vertical cross-section from limited cone penetration tests using random field and Monte Carlo simulation
Hu, Y. & Wang, Y., Aug 2020, In: Computers and Geotechnics. 124, 103634.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
43 Citations (Scopus) -
Smart sampling strategy for investigating spatial distribution of subsurface shallow gas pressure in Hangzhou Bay area of China
Guan, Z., Wang, Y., Cao, Z. & Hong, Y., 5 Sept 2020, In: Engineering Geology. 274, 105711.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
31 Citations (Scopus) -
静力触探识别场地土层分布的贝叶斯学习方法研究
Translated title of the contribution :IDENTIFICATION OF SUBSURFACE SOIL STRATIFICATION USING CONE PENETRATION TESTS AND BAYESIAN LEARNING Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review