Energy Evaluation of Triggering Soil Liquefaction Based on the Response Surface Method

[1]  D. Taborda,et al.  Energy-based evaluation of liquefaction potential under non-uniform cyclic loading , 2017 .

[2]  Ikuo Towhata,et al.  SHEAR WORK AND PORE WATER PRESSURE IN UNDRAINED SHEAR , 1985 .

[3]  Daniel Rivero,et al.  Using Artificial Neural Networks for Identifying Patients with Mild Cognitive Impairment Associated with Depression Using Neuropsychological Test Features , 2018, Applied Sciences.

[4]  Ross W. Boulanger,et al.  Semi-empirical procedures for evaluating liquefaction potential during earthquakes , 2006 .

[5]  R. F. Scott,et al.  Project VELACS : control test results , 1993 .

[6]  Emili Besalú,et al.  Modeling Properties with Artificial Neural Networks and Multilinear Least-Squares Regression: Advantages and Drawbacks of the Two Methods , 2018, Applied Sciences.

[7]  Ali Firat Cabalar,et al.  Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering , 2012 .

[8]  Jian-Hua Wang,et al.  Correlation between Cyclic Resistance and Shear-Wave Velocity for Providence Silts , 2008 .

[9]  Li Liang,et al.  Variation of Pore Water Pressure in Tailing Sand under Dynamic Loading , 2018 .

[10]  Ping-Sien Lin,et al.  Simplified cone penetration test-based method for evaluating liquefaction resistance of soils , 2003 .

[11]  Liqun Liang,et al.  LIQUEFACTION UNDER RANDOM LOADING: UNIT ENERGY APPROACH , 1995 .

[12]  Zhencai Zhu,et al.  Health Monitoring for Balancing Tail Ropes of a Hoisting System Using a Convolutional Neural Network , 2018, Applied Sciences.

[13]  Kenneth H. Stokoe,et al.  Guide for Shear-Wave-Based Liquefaction Potential Evaluation , 2004 .

[14]  Fei Zheng,et al.  Parameter Determination of a Minimal Model for Brake Squeal , 2018 .

[15]  P. Robertson,et al.  Evaluating cyclic liquefaction potential using the cone penetration test , 1998 .

[16]  Suhyun Park,et al.  Multivariate Analysis of Laser-Induced Tissue Ablation: Ex Vivo Liver Testing , 2017 .

[17]  Jonathan P. Stewart,et al.  CPT-Based Probabilistic and Deterministic Assessment of In Situ Seismic Soil Liquefaction Potential - eScholarship , 2006 .

[18]  Tarek Abdoun,et al.  Centrifuge modelling and analysis of site liquefaction subjected to biaxial dynamic excitations , 2017 .

[19]  A. Gandomi,et al.  Energy-based numerical models for assessment of soil liquefaction , 2012 .

[20]  Mitsuru Kurita,et al.  Interpolation of Turbulent Boundary Layer Profiles Measured in Flight Using Response Surface Methodology , 2018, Applied Sciences.

[21]  F. Kang,et al.  A New Equation to Evaluate Liquefaction Triggering Using the Response Surface Method and Parametric Sensitivity Analysis , 2018, Sustainability.

[22]  Tony R. Martinez,et al.  Distribution-balanced stratified cross-validation for accuracy estimation , 2000, J. Exp. Theor. Artif. Intell..

[23]  Mihailo D. Trifunac Empirical criteria for liquefaction in sands via standard penetration tests and seismic wave energy , 1995 .

[24]  Brendon A. Bradley,et al.  Fines-content effects on liquefaction hazard evaluation for infrastructure in Christchurch, New Zealand , 2015 .

[25]  K. Stokoe,et al.  Liquefaction resistance of soils from shear-wave velocity , 2000 .

[26]  Habib Shahnazari,et al.  Prediction of strain energy-based liquefaction resistance of sand-silt mixtures: An evolutionary approach , 2011, Comput. Geosci..

[27]  Utku Kose,et al.  An Ant-Lion Optimizer-Trained Artificial Neural Network System for Chaotic Electroencephalogram (EEG) Prediction , 2018, Applied Sciences.

[28]  K. T. Law,et al.  An energy approach for assessing seismic liquefaction potential , 1990 .

[29]  M. Zeghal,et al.  Analysis of soil liquefaction using centrifuge tests of a site subjected to biaxial shaking , 2018, Soil Dynamics and Earthquake Engineering.

[30]  Robert E. Kayen,et al.  Assessment of Liquefaction Potential during Earthquakes by Arias Intensity , 1997 .

[31]  Wengang Zhang,et al.  Assessment of soil liquefaction based on capacity energy concept and multivariate adaptive regression splines , 2015 .

[32]  Arthur C. Heidebrecht,et al.  Energy dissipation and seismic liquefaction in sands , 1982 .

[33]  Bernard Bobée,et al.  Daily reservoir inflow forecasting using artificial neural networks with stopped training approach , 2000 .

[34]  Mohammad Hassan Baziar,et al.  Assessment of liquefaction triggering using strain energy concept and ANN model: Capacity Energy , 2007 .

[35]  G. Box,et al.  Some New Three Level Designs for the Study of Quantitative Variables , 1960 .

[36]  Wei Chang,et al.  Evaluating the Effects of Steel Fibers on Mechanical Properties of Ultra-High Performance Concrete Using Artificial Neural Networks , 2018, Applied Sciences.