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

Papers
(The median citation count of Georisk-Assessment and Management of Risk for Engineered Systems and G is 2. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Future of machine learning in geotechnics87
Challenges in data-driven site characterization63
Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow39
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India20
Binary classification method for efficient and accurate system reliability analyses of layered soil slopes19
Spatio-temporal cluster analysis of recent Italian landslides18
Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data16
Improved landslide susceptibility mapping using unsupervised and supervised collaborative machine learning models15
Hierarchical Bayesian approaches to statistical modelling of geotechnical data15
An efficient Bayesian method for estimating runout distance of region-specific landslides using sparse data13
Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China13
Benchmark examples for data-driven site characterisation13
Non-parametric modelling and simulation of spatiotemporally varying geo-data11
Time capsule for geotechnical risk and reliability11
Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis11
Probabilistic model calibration of spatial variability for a physically-based landslide susceptibility model10
Practical dynamic reliability analysis with spatiotemporal features in geotechnical engineering10
Definition and application of a multi-criteria algorithm to identify landslide acceleration phases10
Probabilistic back analysis for rainfall-induced slope failure using MLS-SVR and Bayesian analysis10
A novel approach for displacement interval forecasting of landslides with step-like displacement pattern9
Inherent variability assessment from sparse property data of overburden soils and intermediate geomaterials using random field approaches9
Time capsule for landslide risk assessment9
Real-time tunnel lining crack detection based on an improved You Only Look Once version X algorithm8
Mobilisation-based characteristic value of shear strength for ultimate limit states8
Report for ISSMGE TC309/TC304/TC222 Third ML dialogue on “Data-Driven Site Characterization (DDSC)”8
Prediction of shear strength parameters of hydrocarbon contaminated sand based on machine learning methods8
Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability8
Risk management procedure to understand and interpret the geotechnical context7
A comparative study of Bayesian inverse analyses of spatially varying soil parameters for slope reliability updating7
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope7
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application7
Observational method as risk management tool: the Hvalfjörður tunnel project, Iceland7
Reliability-based design optimisation of geotechnical systems using a decoupled approach based on adaptive metamodels7
Special issue on “Machine learning and AI in geotechnics”6
Optimal placement of sampling locations for identification of a two-dimensional space6
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China6
What is a characteristic value for soils?6
An improved methodology for applying the influence function for subsidence hazard prediction6
Data analytics in geotechnical and geological engineering6
Performance-based assessment of permanent displacement of soil slopes using two-dimensional dynamic analysis6
Data-driven subsurface modelling using a Markov random field model6
Transformation models for the compressibility properties of Finnish clays using a multivariate database6
Geophysical tomography as a tool to estimate the geometry of soil layers: relevance for the reliability assessment of dikes5
A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint5
Metamodelling for geotechnical reliability analysis with noisy and incomplete models5
On prediction of slope failure time with the inverse velocity method5
Regional landslide mapping model developed by a deep transfer learning framework using post-event optical imagery5
Flood hazards in urban environment5
PDEM-based seismic performance evaluation of circular tunnels under stochastic earthquake excitation5
A new approach to constructing SPT-CPT correlation for sandy soils4
Evolution analysis of the Banbiyan dangerous rock mass in the three gorges reservoir area, China4
Data-driven approximation of geotechnical dynamics to an equivalent single-degree-of-freedom vibration system based on dynamic mode decomposition4
Correlated sensitivities in reliability analysis and probabilistic Burland-and-Burbidge method4
Time series analysis and gated recurrent neural network model for predicting landslide displacements4
Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway4
A novel long-short term memory network approach for stress model updating for excavations in high stress environments4
Quantification of statistical uncertainties of unconfined compressive strength of rock using Bayesian learning method4
Regional seismic loss estimation and critical earthquake scenarios for the Western Quebec seismic zone4
Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslide4
Multi-fidelity data-driven modelling of rate-dependent behaviour of soft clays4
3D spatiotemporal risk assessment analysis of the tunnelling-induced settlement in an urban area using analytical hierarchy process and BIM3
Prediction of tunnel mechanical behaviour using multi-task deep learning under the external condition3
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”3
Development of training image database for subsurface stratigraphy3
Numerical modelling of the keying process for a suction embedded plate anchor in spatially varying clays3
Risk-informed adaptive sampling strategy for liquefaction severity mapping3
Integration of site condition information using geographic information system for seismic risk reduction for bridge network3
Load and resistance factor design versus reliability-based design of shallow foundations3
The DINGO database of axial pile load tests for the UK: settlement prediction in fine-grained soils3
Early identification of potential loess landslide using convolutional neural networks with skip connection: a case study in northwest Lvliang City, Shanxi Province, China3
Future of Machine Learning in Geotechnics (FOMLIG), 5–6 Dec 2023, Okayama, Japan3
On the use of different data assimilation schemes in a fully coupled hydro-mechanical slope stability analysis3
Statistical landslide susceptibility assessment using Bayesian logistic regression and Markov Chain Monte Carlo (MCMC) simulation with consideration of model class selection3
Digital geotechnics: from data-driven site characterisation towards digital transformation and intelligence in geotechnical engineering3
Impact of rising sea levels on future Nankai–Tonankai earthquake tsunamis: a case study of Osaka, Japan3
GBDT-based multivariate structural stress data analysis for predicting the sinking speed of an open caisson foundation2
Towards an AI-based early warning system for bridge scour2
Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning2
Characterisation for spatial distribution of mining-induced stress through deep learning algorithm on SHM data2
A mixed quantitative approach to evaluate rockfall risk and the maximum allowable traffic on road infrastructure2
Early detection of internal erosion in earth dams: combining seismic monitoring and convolutional AutoEncoders2
Implicit modelling and dynamic update of tunnel unfavourable geology based on multi-source data fusion using support vector machine2
Reliability assessment of open-source multiscale landslide susceptibility maps and effects of their fusion2
Reliability-based serviceability limit state design of spread foundations under uplift loading in cohesionless soils2
Probabilistic assessment of geosynthetic reinforced soil walls using ANN-based response surface method2
Reliability-based design in spatially variable soils using deep learning: an illustration using shallow foundation2
Implementation of reliability-based thresholds to excavation of shotcrete-supported rock tunnels2
System reliability and sensitivity analysis of lateral loaded pile considering soil’s spatial variability2
Representative slip surface identification and reliability analysis of slope systems in spatially variable soils2
Worst-case effect in bearing capacity of spread foundations considering safety factors and anisotropy in soil spatial variability2
Probabilistic seismic hazard assessment for West Africa region2
A networked risk perspective for analysing debris flow losses factors considering mitigation measures2
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