相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing Models
Athanasia D. Skentou et al.
ROCK MECHANICS AND ROCK ENGINEERING (2023)
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock
Jing Cao et al.
ENGINEERING WITH COMPUTERS (2022)
A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithm
Hong Zhang et al.
ENGINEERING WITH COMPUTERS (2022)
A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns
Abidhan Bardhan et al.
CONSTRUCTION AND BUILDING MATERIALS (2022)
Influence of specimen size and shape on the uniaxial compressive strength values of selected Western Carpathians rocks
Tatiana Durmekova et al.
ENVIRONMENTAL EARTH SCIENCES (2022)
Introducing stacking machine learning approaches for the prediction of rock deformation
Mohammadreza Koopialipoor et al.
TRANSPORTATION GEOTECHNICS (2022)
Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks
Tien-Thinh Le et al.
ROCK MECHANICS AND ROCK ENGINEERING (2022)
Ensemble unit and AI techniques for prediction of rock strain
T. Pradeep et al.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (2022)
Predicting clay compressibility using a novel Manta ray foraging optimization-based extreme learning machine model
Panagiotis G. Asteris et al.
TRANSPORTATION GEOTECHNICS (2022)
Rock Strength Estimation Using Several Tree-Based ML Techniques
Zida Liu et al.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES (2022)
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm
Jiandong Huang et al.
ENGINEERING WITH COMPUTERS (2022)
Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests
Panagiotis G. Asteris et al.
CONSTRUCTION AND BUILDING MATERIALS (2021)
Lithological Control on the Estimation of Uniaxial Compressive Strength by the P-Wave Velocity Using Supervised and Unsupervised Learning
Tabish Rahman et al.
ROCK MECHANICS AND ROCK ENGINEERING (2021)
Uniaxial Compressive Strength Determination of Rocks Using X-ray Computed Tomography and Convolutional Neural Networks
Huan Sun et al.
ROCK MECHANICS AND ROCK ENGINEERING (2021)
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
Panagiotis G. Asteris et al.
TRANSPORTATION GEOTECHNICS (2021)
Empirical Estimation of Uniaxial Compressive Strength of Rock: Database of Simple, Multiple, and Artificial Intelligence-Based Regressions
Adeyemi Emman Aladejare et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2021)
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Rahim Barzegar et al.
NEURAL COMPUTING & APPLICATIONS (2020)
On the Use of Neuro-Swarm System to Forecast the Pile Settlement
Danial Jahed Armaghani et al.
APPLIED SCIENCES-BASEL (2020)
Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems
Behnam Yazdani Bejarbaneh et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2018)
Rock strength estimation: a PSO-based BP approach
E. Tonnizam Mohamad et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest
S. S. Matin et al.
APPLIED SOFT COMPUTING (2018)
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances
Danial Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2016)
Water effects on rock strength and stiffness degradation
Louis Ngai Yuen Wong et al.
ACTA GEOTECHNICA (2016)
Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
Danial Jahed Armaghani et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2016)
Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
Ehsan Momeni et al.
MEASUREMENT (2015)
Estimation of strength characteristics of different Himalayan rocks from Schmidt hammer rebound, point load index, and compressional wave velocity
Ruchika Sharma Tandon et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young's modulus: a study on Main Range granite
Danial Jahed Armaghani et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
A comparative study of Schmidt hammer test methods for estimating the uniaxial compressive strength of rocks
Kadir Karaman et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach
Edy Tonnizam Mohamad et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
The determination of uniaxial compressive strength from point load strength for pyroclastic rocks
S. Kahraman
ENGINEERING GEOLOGY (2014)
An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining
Mohammad Rezaei et al.
NEURAL COMPUTING & APPLICATIONS (2014)
Estimation of uniaxial compressive strength based on P-wave and Schmidt hammer rebound using statistical method
Behnaz Minaeian et al.
ARABIAN JOURNAL OF GEOSCIENCES (2013)
Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system
D. A. Mishra et al.
ENGINEERING GEOLOGY (2013)
Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks
Nurcihan Ceryan et al.
ENVIRONMENTAL EARTH SCIENCES (2013)
An application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain granitic rocks from their mineral contents
N. Yesiloglu-Gultekin et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Application of genetic programming to predict the uniaxial compressive strength and elastic modulus of carbonate rocks
Morteza Beiki et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2013)
Prediction of uniaxial compressive strength of granitic rocks by various nonlinear tools and comparison of their performances
N. Yesiloglu-Gultekin et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2013)
Correlating P-wave Velocity with the Physico-Mechanical Properties of Different Rocks
Manoj Khandelwal
PURE AND APPLIED GEOPHYSICS (2013)
Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks
S. Yagiz et al.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2012)
Relationship between point load strength index and uniaxial compressive strength of hydrothermally altered soft rocks
M. Kohno et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2012)
Use of the block punch test to predict the compressive and tensile strengths of rocks
D. A. Mishra et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2012)
Predicting the Uniaxial Compressive and Tensile Strengths of Gypsum Rock by Point Load Testing
M. Heidari et al.
ROCK MECHANICS AND ROCK ENGINEERING (2012)
Correlation Between Point Load Index and Uniaxial Compressive Strength for Different Rock Types
T. N. Singh et al.
ROCK MECHANICS AND ROCK ENGINEERING (2012)
Application of artificial neural networks and multivariate statistics to estimate UCS using textural characteristics
Amin Manouchehrian et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2012)
Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network
Abdulkadir Cevik et al.
APPLIED SOFT COMPUTING (2011)
P-wave velocity test for assessment of geotechnical properties of some rock materials
Saffet Yagiz
BULLETIN OF MATERIALS SCIENCE (2011)
PRISMA Statement
David Moher et al.
EPIDEMIOLOGY (2011)
A correlation between Schmidt hammer rebound numbers with impact strength index, slake durability index and P-wave velocity
P. K. Sharma et al.
INTERNATIONAL JOURNAL OF EARTH SCIENCES (2011)
Estimation of strength parameters of rock using artificial neural networks
Kripamoy Sarkar et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2010)
Point load test on schistose rocks and its applicability in predicting uniaxial compressive strength
A. Basu et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)
Predicting uniaxial compressive strength, modulus of elasticity and index properties of rocks using the Schmidt hammer
Saffet Yagiz
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2009)
Non-destructive testing of some Higher Himalayan Rocks in the Satluj Valley
Vikram Gupta
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2009)
The effect of rock classes on the relation between uniaxial compressive strength and point load index
S. Kahraman et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2009)
Study on uniaxial compressive strength, point load strength index, dynamic and physical properties of serpentinites from Central Greece: Test results and empirical relations
K. Diamantis et al.
ENGINEERING GEOLOGY (2009)
Correlating static properties of coal measures rocks with P-wave velocity
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF COAL GEOLOGY (2009)
Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models
Isik Yilmaz et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration
Alessandro Liberati et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2009)
Predicting the Uniaxial Compressive Strength and Static Young’s Modulus of Intact Sedimentary Rocks Using the Ultrasonic Test
Z. A. Moradian et al.
International Journal of Geomechanics (2009)
Estimation of strength and deformation properties of Quaternary caliche deposits
Ismail Dincer et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2008)
Determination of mechanical properties of rocks using simple methods
A. Kilic et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2008)
Estimation of uniaxial compressive strength from point load strength, Schmidt hardness and P-wave velocity
Ibrahim Cobanoglu et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2008)
Prediction of uniaxial compressive strength of sandstones using petrography-based models
K. Zorlu et al.
ENGINEERING GEOLOGY (2008)
Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees
Bulent Tiryaki
ENGINEERING GEOLOGY (2008)
Prediction of compressive and tensile strength of limestone via genetic programming
Adil Baykasoglu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
A correlation between P-wave velocity, impact strength index, slake durability index and uniaxial compressive strength
P. K. Sharma et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2008)
Fuzzy genetic programming method for analysis of ground movements due to underground mining
Wen-Xiu Li et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2007)
Estimation of rock engineering properties using hardness tests
Faisal I. Shalabi et al.
ENGINEERING GEOLOGY (2007)
Predicting uniaxial compressive strength by point load test: Significance of cone penetration
A. Basu et al.
ROCK MECHANICS AND ROCK ENGINEERING (2006)
Influence of water content on the strength of rock
B Vásárhelyi et al.
ENGINEERING GEOLOGY (2006)
Fuzzy and multiple regression modelling for evaluation of intact rock strength based on point load, Schmidt hammer and sonic velocity
M Karakus et al.
ROCK MECHANICS AND ROCK ENGINEERING (2006)
The relationships between effective porosity, uniaxial compressive strength and sonic velocity of intact Borrowdale Volcanic Group core samples from Sellafield
D. C. Entwisle et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2005)
The Schmidt hammer in rock material characterization
A Aydin et al.
ENGINEERING GEOLOGY (2005)
The effect of porosity on the relation between uniaxial compressive strength and point load index
S. Kahraman et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2005)
Effect of water on the strength and microstructure of Carrara marble axially compressed at high temperature
JHP De Bresser et al.
JOURNAL OF STRUCTURAL GEOLOGY (2005)
Considerations on strength of intact sedimentary rocks
G Tsiambaos et al.
ENGINEERING GEOLOGY (2004)
Estimation of rock physicomechanical properties using hardness methods
E Yasar et al.
ENGINEERING GEOLOGY (2004)
A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock
C Gokceoglu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2004)
Models to predict the uniaxial compressive strength and the modulus of elasticity for Ankara Agglomerate
H Sonmez et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2004)
Correlation of Schmidt hardness with unconfined compressive strength and Young's modulus in gypsum from Sivas (Turkey)
I Yilmaz et al.
ENGINEERING GEOLOGY (2002)
A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara agglomerates from their petrographic composition
C Gokceoglu
ENGINEERING GEOLOGY (2002)
Evaluation of the block punch index test with particular reference to the size effect, failure mechanism and its effectiveness in predicting rock strength
S Sulukcu et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2001)
Evaluation of simple methods for assessing the uniaxial compressive strength of rock
S Kahraman
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2001)
Prediction of strength properties of some schistose rocks from petrographic properties using artificial neural networks
VK Singh et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2001)
Evaluation of mechanical rock properties using a Schmidt Hammer
O Katz et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2000)
分享论文
