Probabilistic Joint Shear Strength Models for Design of RC Beam-Column Connections

2008 ◽  
Vol 105 (6) ◽  
Keyword(s):  
Shear Strength ◽  
Rc Beam ◽  
Joint Shear Strength ◽  
Joint Shear ◽  
Strength Models

Deep neural network applied to joint shear strength for exterior RC beam-column joints affected by cyclic loadings

Structures ◽  
2021 ◽  
Vol 33 ◽  
pp. 1819-1832
Author(s):  
Sang Ho Park ◽  
Doohyun Yoon ◽  
Sanghun Kim ◽  
Zong Woo Geem
Keyword(s):  
Neural Network ◽  
Shear Strength ◽  
Deep Neural Network ◽  
Rc Beam ◽  
Joint Shear Strength ◽  
Joint Shear

Single-joint shear strength of micro Cu pillar solder bumps with different amounts of intermetallics

2013 ◽  
Vol 53 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Y.J. Chen ◽  
C.K. Chung ◽  
C.R. Yang ◽  
C.R. Kao
Keyword(s):  
Shear Strength ◽  
Joint Shear Strength ◽  
Cu Pillar ◽  
Solder Bumps ◽  
Joint Shear

Exterior RC joints subjected to monotonic and cyclic loading

2020 ◽  
Vol 37 (7) ◽  
pp. 2319-2336 ◽  
Author(s):  
Yasmin Murad ◽  
Haneen Abdel-Jabar ◽  
Amjad Diab ◽  
Husam Abu Hajar
Keyword(s):  
Shear Strength ◽  
Cyclic Loading ◽  
Axial Load ◽  
Monotonic Loading ◽  
Concrete Compressive Strength ◽  
Joint Shear Strength ◽  
Content Type ◽  
Loading Case ◽  
Joint Shear ◽  
Test Points

Purpose The purpose of this study is to develop two empirical models that predict the shear strength of exterior beam-column joints exposed to monotonic and cyclic loading using Gene expression programming (GEP). Design/methodology/approach The GEP model developed for the monotonic loading case is trained and validated using 81 data test points and that for cyclic loading case is trained and validated using 159 data test points that collected from different 9 and 39 experimental programs, respectively. The parameters that are selected to develop the cyclic GEP model are concrete compressive strength, joint aspect ratio, column axial load and joint transverse reinforcement. The monotonic GEP model is developed using concrete compressive strength, column depth, joint width and column axial load. Findings GEP models are proposed in this paper to predict the joint shear strength of beam-column joints under cyclic and monotonic loading. The predicted results obtained using the GEP models are compared to those calculated using the ACI-352 code formulations. A sensitivity analysis is also performed to further validate the GEP models. Originality/value The proposed GEP models provide an accurate prediction for joint shear strength of beam-column joints under cyclic and monotonic loading that is more fitting to the experimental database than the ACI-352 predictions where the GEP models have higher R2 value than the code formulations.

Joint shear strength of FRP reinforced concrete beam-column joints

2011 ◽  
Vol 1 (1) ◽  
Author(s):  
Jagadeesan Saravanan ◽  
Ganapathy Kumaran
Keyword(s):  
Shear Strength ◽  
Concrete Beam ◽  
Concrete Strength ◽  
Reinforced Concrete Beam ◽  
Constant Load ◽  
Reinforcement Ratio ◽  
Joint Shear Strength ◽  
Element Analysis ◽  
Glass Fibre Reinforced Polymer ◽  
Joint Shear

AbstractAn assessment of the joint shear strength of exterior concrete beam-column joints reinforced internally with Glass Fibre Reinforced Polymer (GFRP) reinforcements under monotonically increasing load on beams keeping constant load on columns is carried out in this study. Totally eighteen numbers of specimens are cast and tested for different parametric conditions like beam longitudinal reinforcement ratio, concrete strength, column reinforcement ratio, joint aspect ratio and influence of the joint stirrups at the joint. Also finite element analysis is performed to simulate the behaviour of the beam-column joints under various parametric conditions. Based on this study, a modified design equation is proposed for assessing the joint shear strength of the GFRP reinforced beam-column specimens based on the experimental results and the review of the prevailing design equations.

Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength

2020 ◽  
Author(s):  
Mahdi Hasanipanah ◽  
Debiao Meng ◽  
Behrooz Keshtegar ◽  
Nguyen-Thoi Trung ◽  
Duc-Kien Thai
Keyword(s):  
Shear Strength ◽  
Nonlinear Models ◽  
Rock Joint ◽  
Kriging Interpolation ◽  
Joint Shear Strength ◽  
Joint Shear
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