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Performance of fixed beam without interacting bars

Frontiers of Structural and Civil Engineering 2020年第5期14卷 1180-1195页

作者： Aydin SHISHEGARAN Behnam KARAMI Timon RABCZUK Arshia SHISHEGARAN mohammad ali naghsh Mohammreza mohammad KHANI School of Civil Engineering Iran University of Science and TechnologyTehran 13114-16846Iran International Institute of Earthquake Engineering and Seismology Tehran 19537-14453Iran Division of Computational Mechanics Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityVietnam School of Civil engineering Islamic Azad UniversityTehran ***Iran School of Civil Engineering Isfahan University of TechnologyIsfahan ***Iran

Increasing the bending capacity of reinforced concrete(RC)elements is one of important topics in structure *** goal of this study is to develop a transferred stress system(TSS)on longitudinal reinforcement bars for increasing the bending capacity of RC *** study is divided into two parts,i.e.,experimental tests and nonlinear FE *** experiments were carried out to determine the load-deflection curves and crack patterns of the ordinary and TSS fixed *** FE models were developed for simulating the fixed *** obtained load-deflection results and the observed cracks from the FE analysis and experimental tests are compared to evaluate the validation of the FE nonlinear *** on the validated FE models,the stress distribution on the ordinary and TSS bars were *** found the load carrying capacity and ductility of TSS fixed beam are 29.39%and 23.69%higher compared to those of the ordinary fixed *** crack expansion occurs on the ordinary fixed beam,although there are several crack openings at mid-span of the TSS fixed *** crack distribution was changed in the TSS fixed *** TSS fixed beam is proposed to employ in RC frame instead of ordinary RC beam for improving the performance of RC frame.

关键词： transferred stress system bending capacity crack opening crack propagation FE nonlinear model stress distribution

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An innovative model for predicting the displacement and rotation of column-tree moment connection under fire

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Frontiers of Structural and Civil Engineering 2021年第1期15卷 194-212页

作者： mohammad ali naghsh Aydin SHISHEGARAN Behnam KARAMI Timon RABCZUK Arshia SHISHEGARAN Hamed TAGHAVIZADEH Mehdi MORADI Department of Civil Engineering Isfahan University of TechnologyIsfahan 84156-83111Iran School of Civil Engineering School of Civil EngineeringIran University of Science and TechnologyTehran 13114-16846Iran Department of Civil Engineering International Institute of Earthquake Engineering and SeismologyTehran 19539-14453Iran Division of Computational Mechanics Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityVietnam Department of Civil Engineering Islamic Azad UniversityTehran 16511-53311Iran Department of Civil Engineering Isfahan UniversityIsfahan 81746-73441Iran

In this study,we carried out nonlinear finite element simulations to predict the performance of a columntree moment connection(CTMC)under fire and static *** also conducted a detailed parameter study based on five input variables,including the applied temperature,number of flange bolts,number of web bolts,length of the beam,and applied static *** first variable is changed among seven levels,whereas the other variables are changed among three *** the Taguchi method for variables 2-5 and their levels,9 samples were designed for the parameter study,where each sample was exposed to 7 different temperatures yielding 63 *** related variables for each output are imported for the training and testing of different surrogate *** surrogate models include a multiple linear regression(MLR),multiple Ln equation regression(MLnER),an adaptive network-based fuzzy inference system(ANFIS),and gene expression programming(GEP).44 samples were used for training randomly while the remaining samples were employed for *** show that GEP outperforms MLR,MLnER,and *** results indicate that the rotation and deflection of the CTMC depend on the *** addition,the fire resistance increases with a decrease in the beam length;thus,a shorter beam can increase the fire resistance of the *** numbers of flanges and web bolts slightly affect the rotation and displacement of the CTMCs at temperatures of above 400℃.

关键词： column-tree moment connection Finite element model parametric study fire regression models gene expression programming

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Prediction of the load-carrying capacity of reinforced concrete connections under post-earthquake fire

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2021年第6期22卷 441-466页

作者： Aydin SHISHEGARAN Mehdi MORADI mohammad ali naghsh Behnam KARAMI Arshia SHISHEGARAN School of Civil Engineering Iran University of Science and TechnologyTehranIran Institute of Structural Mechanics Bauhaus-Universitat WeimarWeimar 99423Germany School of Civil Engineering Isfahan UniversityIsfahanIran School of Civil Engineering Isfahan University of TechnologyIsfahanIran International Institute of Earthquake Engineering and Seismology TehranIran 不详

Finding out the most effective parameters relating to the resistance of reinforced concrete connections(RCCs)is an important topic in structural *** this study,first,a finite element(FE)model is developed for simulating the performance of RCCs under post-earthquake fire(PEF).Then surrogate models,including multiple linear regression(MLR),multiple natural logarithm(Ln)equation regression(MLn ER),gene expression programming(GEP),and an ensemble model,are used to predict the remaining load-carrying capacity of an RCC under *** statistical parameters,error terms,and a novel statistical table are used to evaluate and compare the accuracy of each surrogate *** to the results,the ratio of the longitudinal reinforcement bars of the column(RLC)has a significant effect on the resistance of an RCC under *** the value of this parameter from 1%to 8%can increase the residual load-carrying capacity of an RCC under PEF by 492.2%when the RCC is exposed to fire at a temperature of 1000°***,based on the results,the ensemble model can predict the residual load-carrying capacity with suitable accuracy.A safety factor of 1.55 should be applied to the results obtained from the ensemble model.

关键词： Reinforced concrete connection(RCC) Post-earthquake fire(PEF) Surrogate models Load-carrying capacity Gene expression programming(GEP) Ensemble model

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Surrogate models for the prediction of damage in reinforced concrete tunnels under internal water pressure

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2021年第8期22卷 632-656页

作者： alireza BIGDELI Aydin SHISHEGARAN mohammad ali naghsh Behnam KARAMI Arshia SHISHEGARAN Gholamreza aliZADEH School of Civil Engineering Iran University of Science and TechnologyTehran 16846-13114Iran Institute of Structural Mechanics Bauhaus-University WeimarWeimar D-99423Germany School of Civil Engineering Isfahan University of TechnologyIsfahan ***Iran International Institute of Earthquake Engineering and Seismology Tehran 19537-14453Iran School of Civil Engineering Islamic Azad UniversityTehran 158474331Iran

In the present study,the performance of reinforced concrete tunnel(RCT)under internal water pressure is evaluated by using nonlinear finite element analysis and surrogate *** parameters,including the compressive and tensile strength of concrete,the size of the longitudinal reinforcement bar,the transverse bar diameter,and the internal water pre ssure,are considered as the input *** on the levels of variables,36 mix designs are selected by the Taguchi method,and 12 mix designs are proposed in this *** fiber reinforced concrete(CFRC)or glass fiber reinforced concrete(GFRC)is considered for simulating these 12 *** component regression(PCR),Multi Ln equation regression(MLnER),and gene expression programming(GEP)are employed for predicting the percentage of damaged surfaces(PDS)of the RCT,the effective tensile plastic strain(ETPS),the maximum deflection of the RCT,and the deflection of crown of *** error terms and statistical parameters,including the maximum positive and negative errors,mean absolute percentage error(MAPE),root mean square error(RMSE),coefficient of determination,and normalized square error(NMSE),are utili zed to evaluate the accuracy of the *** on the results,GEP performs better than other models in predicting the *** results sh ow that the internal water pressure and the mechanical properties of concrete have the most effect on the damag e and deflection of the RCT.

关键词： Gene expression programming(GEP) Taguchi method Finite element(FE)analysis Effective tensile plastic strain(ETPS) Deflection Damage

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