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 5. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Effects of random heterogeneity of soil on VH failure envelopes of the torpedo anchor139
Numerical modelling of the keying process for a suction embedded plate anchor in spatially varying clays32
Reliability-based optimization in climate-adaptive design of embedded footing25
Worst-case effect in bearing capacity of spread foundations considering safety factors and anisotropy in soil spatial variability23
Experimental modelling of spudcan penetration in spatially variable soils22
Machine learning based subsurface modelling using geological exploration data: a comprehensive review20
The modified life cycle cost method for the risk-based design of excavation projects18
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application18
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China17
Time series analysis and gated recurrent neural network model for predicting landslide displacements16
Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H15
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”15
Novel copula-based iHLRF-X algorithm for assessing reliability of geo-structures14
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope13
Modelling construction performance variability for probabilistic time estimation of tunnelling projects12
Risk prediction of coal mine rock burst based on machine learning and feature selection algorithm12
Load and resistance factor design versus reliability-based design of shallow foundations12
Abnormal behaviour in Atatürk dam created by internal erosion12
Stochastic numerical analyses to investigate the effects of the spatial nonuniformity of offshore ground on the serviceability of monopile foundations12
A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil11
Optimizing number, locations, and types of ground investigations for slope stability assessment with value of information analysis11
Reliability analysis of shallow foundation using the important-region-based method11
Influence of asynchronism between the spatial distribution of the hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of layered slopes11
Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China11
On the use of different data assimilation schemes in a fully coupled hydro-mechanical slope stability analysis11
Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS)10
Risk-informed adaptive sampling strategy for liquefaction severity mapping10
Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway10
Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslide10
Probabilistic earthquake-tsunami financial risk evaluation for the District of Tofino, British Columbia, Canada10
Spotlight article “What is a characteristic value for soils?”: T. Länsivaara, K.K. Phoon, and J. Ching9
A case study of resistance factors for bearing capacity of shallow foundations using plate load test data in Korea9
Development of a probabilistic seismic microzonation software considering geological and geotechnical uncertainties9
Correction9
A new method for evaluating leakage through composite liners considering uncertainties in geomembrane holes9
Multi-criteria risk assessment of thermal comfort in deep underground mines: an integrated evaluation framework and case studies9
2D and 3D numerical modelling for preliminary assessment of long-term deterioration in Irish glacial till geotechnical slopes9
Intelligent risk assessment of co-seismic landslide susceptibility using multi-directional seismic ground motion parameters8
Regional seismic loss estimation and critical earthquake scenarios for the Western Quebec seismic zone8
Impact of soil spatial variability on spudcan penetration resistance and mobilized shear strength7
A long short-term memory framework for surface intensity prediction using source and borehole parameters for improved seismic hazard assessment7
Calibrating soil erodibility parameters of landslide dams using back analyses7
John T. Christian (1936–2022)7
A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint6
Prediction method for rockburst risk using unsupervised clustering in small sample scenarios6
A new approach to constructing SPT-CPT correlation for sandy soils6
System reliability and sensitivity analysis of lateral loaded pile considering soil’s spatial variability6
Stacking model based on six base classifiers to improve prediction of soil liquefaction: a multi-dataset study6
Evaluation structures for machine learning models in geotechnical engineering6
Machine learning-integrated landslide susceptibility modelling addressing spatial correlation in grid-based environmental factors6
Statistical landslide susceptibility assessment using Bayesian logistic regression and Markov Chain Monte Carlo (MCMC) simulation with consideration of model class selection6
Effects of complex surficial geology on seismic amplification in Quebec, Canada6
Uncertainty analysis of mechanical response of surrounding rock in deeply buried tunnels using machine learning and global optimisation algorithms6
Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling6
Multivariate correlation analysis of mechanical parameters of marine soft soil in Jiangsu, China6
Seismic site amplification prediction- an integrated Bayesian optimisation explainable machine learning approach5
An initial assessment of volcanic meteo-tsunami hazard in the South China Sea: what we learned and how to move forward5
Quantifying risk contagion of fluvial flood disaster chain5
Reliability design of monopile foundations in spatially variable soil considering random loads5
Quantitative assessment and transmission mechanisms of technical risks in CO 2 geological storage using social network analysis5
Deep learning-based GLOF modelling for hazard assessment and risk management5
An efficient approach for safety factor-based and reliability-based design of tunnel face support pressure using BP Neural Network5
Review of safety and reliability insights for sheet pile wall design5
Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning5
Optimising creep constitutive modelling of layered soft rocks using particle swarm method5
Enhancing geological hazard risk assessment through stacking ensemble learning5
Data-driven subsurface modelling using a Markov random field model5
Influence of small-scale variable vs on small strain damping – a numerical study using high-frequency spectral decay parameter5
Inherent variability assessment from sparse property data of overburden soils and intermediate geomaterials using random field approaches5
CPTu-SPT correlation analyses based on pairwise data in Southwestern Taiwan5
Learning approaches to cost–benefit decision analysis of pile designs from site investigation plans5
Databases for data-centric geotechnics: geotechnical structures5
0.90727400779724