Related references
Note: Only part of the references are listed.An Algorithm for Selecting Spatially Correlated Ground Motions at Multiple Sites under Scenario Earthquakes
Wenqi Du et al.
JOURNAL OF EARTHQUAKE ENGINEERING (2022)
A Simplified Approach to Investigate the Seismic Ductility Demand of Shear-Critical Reinforced Concrete Columns Based on Experimental Calibration
Chao-Lie Ning et al.
JOURNAL OF EARTHQUAKE ENGINEERING (2021)
Compressive behavior of concrete-filled double skin steel tubular short columns with the elliptical hollow section
Suleyman Ipek et al.
JOURNAL OF BUILDING ENGINEERING (2021)
Prediction of shear strength and behavior of RC beams strengthened with externally bonded FRP sheets using machine learning techniques
Omar R. Abuodeh et al.
COMPOSITE STRUCTURES (2020)
Nonlinear finite element analysis of double skin composite columns subjected to axial loading
Suleyman Ipek et al.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING (2020)
A predictive model on size of silver nanoparticles prepared by green synthesis method using hybrid artificial neural network-particle swarm optimization algorithm
Amineh Shafaei et al.
MEASUREMENT (2020)
Influence of earthquake duration on structural collapse assessment using hazard-consistent ground motions for shallow crustal earthquakes
Wenqi Du et al.
BULLETIN OF EARTHQUAKE ENGINEERING (2020)
Influence of spatial variability of soil strength parameters on probabilistic seismic slope displacement hazard analysis
Dian-Qing Li et al.
ENGINEERING GEOLOGY (2020)
Probabilistic indicator to classify the failure mode of reinforced-concrete columns
Chao-Lie Ning et al.
MAGAZINE OF CONCRETE RESEARCH (2019)
Axial compression capacity of circular CFST columns transversely strengthened by FRP
Esra Mete Guneyisi et al.
ENGINEERING STRUCTURES (2019)
A practical approach to predict the hysteresis loop of reinforced concrete columns failing in different modes
Chao-Lie Ning et al.
CONSTRUCTION AND BUILDING MATERIALS (2019)
Machine Learning-Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study
Sujith Mangalathu et al.
JOURNAL OF STRUCTURAL ENGINEERING (2019)
Evaluation of peak and residual conditions of actively confined concrete using neuro-fuzzy and neural computing techniques
Iman Mansouri et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Prediction of hydroxyapatite crystallite size prepared by sol-gel route: gene expression programming approach
Mehrdad Mahdavi Jafari et al.
JOURNAL OF SOL-GEL SCIENCE AND TECHNOLOGY (2018)
A novel predictive model for estimation of cobalt leaching from waste Li-ion batteries: Application of genetic programming for design
Hossein Ebrahimzade et al.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING (2018)
BUCKLING ASSESSMENT OF IMPERFECT CYLINDRICAL SHELLS UNDER AXIAL LOADS USING A GEP TECHNIQUE
Iman Mansouri et al.
ELECTRONIC JOURNAL OF THE FACULTY OF CIVIL ENGINEERING OSIJEK-E-GFOS (2018)
Comparison of available shear strength models for non-conforming reinforced concrete columns
Ciro Del Vecchio et al.
ENGINEERING STRUCTURES (2017)
Improved predictive model to the cross-sectional resistance of CFT
Iman Mansouri et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2017)
Ultimate capacity prediction of axially loaded CFST short columns
Esra Mete Guneyisi et al.
INTERNATIONAL JOURNAL OF STEEL STRUCTURES (2016)
Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques
Iman Mansouri et al.
MATERIALS AND STRUCTURES (2016)
Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches
Iman Mansouri et al.
COMPOSITES PART B-ENGINEERING (2015)
Seismic Behavior of Shear-Critical Reinforced High-Strength Concrete Columns
Chenhua Jin et al.
JOURNAL OF STRUCTURAL ENGINEERING (2015)
Seismic Behavior of Shear-Critical Reinforced High-Strength Concrete Columns
Chenhua Jin et al.
JOURNAL OF STRUCTURAL ENGINEERING (2015)
Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement
Amir H. Gandomi et al.
AUTOMATION IN CONSTRUCTION (2014)
Machine learning in concrete strength simulations: Multi-nation data analytics
Jui-Sheng Chou et al.
CONSTRUCTION AND BUILDING MATERIALS (2014)
Prediction of the flexural overstrength factor for steel beams using artificial neural network
Esra Mete Guneyisi et al.
STEEL AND COMPOSITE STRUCTURES (2014)
Experimental evaluation and modeling of drying shrinkage behavior of metakaolin and calcined kaolin blended concretes
Kasim Mermerdas et al.
CONSTRUCTION AND BUILDING MATERIALS (2013)
A novel formulation of the flexural overstrength factor for steel beams
Esra Mete Guneyisi et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2013)
Truss-Arch Model for Shear Strength of Shear-Critical Reinforced Concrete Columns
Zuanfeng Pan et al.
JOURNAL OF STRUCTURAL ENGINEERING (2013)
Failure mode classification of reinforced concrete column using Fisher method
Qi Yong-le et al.
JOURNAL OF CENTRAL SOUTH UNIVERSITY (2013)
Gene expression programming based formulations for splitting tensile strength of concrete
Fatih Ozcan
CONSTRUCTION AND BUILDING MATERIALS (2012)
Direct strut-and-tie model for single span and continuous deep beams
Ning Zhang et al.
ENGINEERING STRUCTURES (2007)
Classification and seismic safety evaluation of existing reinforced concrete columns
L. Zhu et al.
JOURNAL OF STRUCTURAL ENGINEERING-ASCE (2007)
Modeling ultimate deformation capacity of RC columns using artificial neural networks
Mehmet Inel
ENGINEERING STRUCTURES (2007)
Shear strength model for lightly reinforced concrete columns
H Sezen et al.
JOURNAL OF STRUCTURAL ENGINEERING (2004)
Strength prediction for discontinuity regions by softened strut-and-tie model
SJ Hwang et al.
JOURNAL OF STRUCTURAL ENGINEERING (2002)
Share Paper
