Georisk-Assessment and Management of Risk for Engineered Systems and G

Papers
(The TQCC of Georisk-Assessment and Management of Risk for Engineered Systems and G is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Effects of random heterogeneity of soil on VH failure envelopes of the torpedo anchor111
Experimental modelling of spudcan penetration in spatially variable soils51
Numerical modelling of the keying process for a suction embedded plate anchor in spatially varying clays31
Reliability-based optimization in climate-adaptive design of embedded footing23
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application19
Worst-case effect in bearing capacity of spread foundations considering safety factors and anisotropy in soil spatial variability19
Time series analysis and gated recurrent neural network model for predicting landslide displacements18
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China17
The modified life cycle cost method for the risk-based design of excavation projects15
Risk prediction of coal mine rock burst based on machine learning and feature selection algorithm14
Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”14
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope13
Load and resistance factor design versus reliability-based design of shallow foundations13
Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H13
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India13
Stochastic numerical analyses to investigate the effects of the spatial nonuniformity of offshore ground on the serviceability of monopile foundations13
On the use of different data assimilation schemes in a fully coupled hydro-mechanical slope stability analysis12
Optimizing number, locations, and types of ground investigations for slope stability assessment with value of information analysis11
Influence of asynchronism between the spatial distribution of the hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of layered slopes10
Modelling construction performance variability for probabilistic time estimation of tunnelling projects10
Reliability analysis of shallow foundation using the important-region-based method10
Optimal placement of sampling locations for identification of a two-dimensional space10
Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China9
Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway9
Probabilistic earthquake-tsunami financial risk evaluation for the District of Tofino, British Columbia, Canada9
Performance-based assessment of permanent displacement of soil slopes using two-dimensional dynamic analysis9
Risk-informed adaptive sampling strategy for liquefaction severity mapping9
A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil9
Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS)8
Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslide8
Spotlight article “What is a characteristic value for soils?”: T. Länsivaara, K.K. Phoon, and J. Ching8
A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint7
A new method for evaluating leakage through composite liners considering uncertainties in geomembrane holes7
Regional seismic loss estimation and critical earthquake scenarios for the Western Quebec seismic zone7
Calibrating soil erodibility parameters of landslide dams using back analyses7
Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data7
2D and 3D numerical modelling for preliminary assessment of long-term deterioration in Irish glacial till geotechnical slopes7
Development of a probabilistic seismic microzonation software considering geological and geotechnical uncertainties7
John T. Christian (1936–2022)7
A case study of resistance factors for bearing capacity of shallow foundations using plate load test data in Korea7
Correction7
Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis7
A new approach to constructing SPT-CPT correlation for sandy soils6
Development of models for facing tensile forces of soil nail walls using statistical approaches6
Databases for data-centric geotechnics: geotechnical structures6
Quantification of statistical uncertainties of unconfined compressive strength of rock using Bayesian learning method6
Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling6
CPTu-SPT correlation analyses based on pairwise data in Southwestern Taiwan6
Evaluation structures for machine learning models in geotechnical engineering6
Statistical landslide susceptibility assessment using Bayesian logistic regression and Markov Chain Monte Carlo (MCMC) simulation with consideration of model class selection6
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