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SPT based determination of undrained shear strength:Regression models and machine learning

Frontiers of Structural and Civil Engineering 2020年第1期14卷 185-198页

作者： Walid Khalid MBARAK Esma Nur cinicioglu ozer cinicioglu Department of Civil Engigeering Bogazici UniversityIstanbul 34342Turkey School of Business Quantitative Methods DivisionIstanbul UniversityIstanbul 34320Turkey

The purpose of this study is the accurate prediction of undrained shear strength using Standard Penetration Test results and soil consistency indices,such as water content and Atterberg *** this study,along with the conventional methods of simple and multiple linear regression models,three machine learning algorithms,random forest,gradient boosting and stacked models,are developed for prediction of undrained shear *** models are employed on a relatively large data set from different projects around Turkey covering 230 *** an improvement over the available studies in literature,this study utilizes correct statistical analyses techniques on a relatively large database,such as using a train/test split on the data set to avoid overfitting of the developed ***,the validity and consistency of the prediction results are ensured with the correct use of statistical measures like p-value and cross-validation which were missing in previous *** compare the performances of the models developed in this study with the prior ones existing in literature,all models were applied on the test data set and their performances are evaluated in terms of the resulting root mean squared error(RMSE)values and coefficient of determination(R^2).Accordingly,the models developed in this study demonstrate superior prediction capabilities compared to all of the prior ***,to facilitate the use of machine learning algorithms for prediction purposes,entire source code prepared for this study and the collected data set are provided as supplements of this study.

关键词： undrained shear strength linear regression random forest gradient boosting machine learning standard penetration test

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Multi-scale investigation of active failure for various modes of wall movement

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Frontiers of Structural and Civil Engineering 2021年第4期15卷 961-979页

作者： Ahmet Talha GEZGIN Behzad SOLTANBEIGI Adlen ALTUNBAS ozer cinicioglu Department of Civil Engineering Bogazici UniversityIstanbul34342Turkey Estimating&Engineering Department Van Oord Dredging and Marine ContractorsRotterdam3063 NHThe Netherlands Department of Civil Engineering Medipol UniversityIstanbul34810Turkey

Retained backfill response to wall movement depends on factors that range from boundary conditions to the geometrical characteristic of individual ***,mechanical understanding of the problem warrants multi-scale analyses that investigate reciprocal relationships between macro and micro ***,this study attempts a multi-scale examination of failure evolution in cohesionless ***,the transition of retained backfills from at-rest condition to the active state is modeled using the discrete element method(DEM).DEM allows conducting virtual experiments,with which the variation of particle and boundary properties is ***,various modes of wall movement(translation and rotation)toward the active state are modeled using two different backfills with distinct particle shapes(spherical and nonspherical)under varying *** each model,cumulative rotations of single particles are tracked,and the results are used to analyze the evolution of shear bands and their geometric ***,dependencies of lateral pressure coefficients and coordination numbers,as respective macro and micro behavior indicators,on particle shape,boundary conditions,and surcharge levels are ***,contact force networks are visually determined,and their influences on pressure distribution and deformation mechanisms are discussed with reference to the associated modes of wall movement and particle shapes.

关键词： discrete-element modelling granular materials retaining walls particle shape arching

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