genetic algorithm for predicting shear strength of steel

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"Proposed Shear Design Equations for FRP-Reinforced genetic algorithm for predicting shear strength of steel

This paper presents simple yet improved equations to calculate the shear capacity of FRP-reinforced concrete beams based on the genetic algorithms approach. The performance of the proposed equations is compared to that of four commonly used shear design methods for FRP-reinforced concrete beams, namely the ACI 440, CSA S806, JSCE, and ISIS Canada.(plate) (PDF) Application of a Coupled Simulated Annealing-Genetic genetic algorithm for predicting shear strength of steel(steel) Hybrid Genetic Programming-simulated Annealing Algorithm (GP/SA) In this paper, a GP with a SA based selection strategy is employed for developing Fig. 2 Bilinear approximation of the moment versus mathematical models to be able to predict the flexural rotation curve [1] resistance and initial rotation stiffness of beam-column steel joints.(plate) (PDF) Predicting torsional strength of RC beams by using genetic algorithm for predicting shear strength of steel(steel) Finally the European Standard Eurocode 2 [23] furnishes three expressions representing respectively the torsional resistances provided by concrete, shear reinforcement and longitudinal steel bars:T n ¼ 1:2 1 À f c 250 f c A k t ef sin h cos hð5ÞT n ¼ 2A k A st f yv s cot h ð6Þ T n ¼ 2A k A sl f yl l k tan hð7ÞIn the above equations genetic algorithm for predicting shear strength of steel

(PDF) Shear Strength Prediction of RC Beams Using Adaptive genetic algorithm for predicting shear strength of steel

We use cookies to make interactions with our website easy and meaningful, to better understand the use of our services, and to tailor advertising.(plate) 1. Introduction - Hindawi(steel) Most of the available shear design equations of FRP-RC members have been developed by modifying the existing equations adopted by design codes for steel-RC members. The methods of modification tried to cover the major changes in material properties by taking into account the effect of the lower elastic modulus, higher tensile strength, lower transverse shear strength, and no yielding criteria genetic algorithm for predicting shear strength of steel(plate) A New Proposal for the Shear Strength Prediction of Beams genetic algorithm for predicting shear strength of steel(steel) This paper investigates composite reinforcement with regard to its use as longitudinal reinforcement. The methods used to calculate the shear strength of concrete members reinforced with fibre-reinforced polymer (FRP) bars are analysed. The main parameters having a bearing on the shear strength of beams reinforced with composite bars are defined.

A multilayer perceptron for predicting the ultimate shear genetic algorithm for predicting shear strength of steel

algorithm to predict the shear capacity of reinforced concrete deep and slender beams. Dopico et al. (2008) applied the neural network technique to predict the shear strength of It should be poinhigh and normal strength reinforced concrete beams with or without shear reinforcement. Kumar and(plate) Advances in Engineering Software - SaetaEquina(steel) Prediction of shear strength of FRP-reinforced concrete beams without stirrups based on genetic programming Ilker Fatih Kara Department of Civil Engineering, Nigde University, 51235 Nigde, Turkey article info Article history Received 31 December 2010 Received in revised form 9 February 2011 Accepted 14 February 2011 Available online 24 genetic algorithm for predicting shear strength of steel(plate) An Intelligent Model for the Prediction of Bond Strength genetic algorithm for predicting shear strength of steel(steel) shear strength equations provided by current standard codes [30]. Multi-Gene Genetic Programming (MGGP) is a fairly new branch of the classical GP [31]. Unlike standard regression methods, MGGP does not require simplifying assumptions in developing the models. Despite the remarkable prediction capabilities of the MGGP approach [31], there is only

Application of genetic algorithm for optimum design of genetic algorithm for predicting shear strength of steel

The genetic algorithm (GA), a powerful optimization technique for multiple extrema functions in multidimensional search spaces, is applied in conjunction with stress analysis to achieve optimum designs of bolted composite lap joints. The objective of the optimization is to ensure the highest strength (plate) Author Vitaliy V. DegtyarevPublish Year 2021Development of prediction models for shear strength of genetic algorithm for predicting shear strength of steel(steel) prediction models for the shear capacity of SFRCB without stirrups. The derived models relate the shear strength to a couple of inuencing parameters. The models were estab-lished based on several published shear tests on SFRCB. 2 Multi-expression programming GP is a branch of evolutionary algorithms (EAs). It uses the(plate) Author Wassim Ben Chaabene, Moncef L. NehdiPublish Year 2021Prediction of shear strength of steel fiber RC beams using genetic algorithm for predicting shear strength of steel(steel) Adhikary and Mutsuyoshi (2006) predicted the ultimate shear strength of steel fibre RC beams based on a multilayer feed forward neural network with the back propagation learning algorithm

Available online at ijcert Hybrid Neural

investigation indicate that Genetic Algorithm based Artificial Neural Network (GANN) has strong potential as a feasible tool for predicting strength characteristics of steel fibre reinforced concrete. Keywords Genetic Algorithm , Back Propagation Network , Steel Fibre Reinforced Concrete , (plate) Bio-Inspired Predictive Models for Shear Strength of genetic algorithm for predicting shear strength of steel(steel) A genetic algorithm (GA) was integrated with the model to optimize the variables to maximize the removal of NOx in the flue gas. genetic algorithm for predicting shear strength of steel This paper presents a prediction of punching shear strength of genetic algorithm for predicting shear strength of steel(plate) Cited by 12Publish Year 2019Author Chuanhua Xu, Xiliang Zhang, James H. Haido, Peyman Mehrabi, Ali Shariati, Edy Tonnizam Mohamad, Hoan genetic algorithm for predicting shear strength of steelA new formulation for prediction of the shear capacity of genetic algorithm for predicting shear strength of steel(steel) Al-Mosawe A, Kalfat R, Al-Mahaidi R (2017) Strength of Cfrp-steel double strap joints under impact loads using genetic programming. Compos Struct 160:12051211 CrossRef Google Scholar Araki N, Matsuzaki Y, Nakano K, Kataoka T, Fukuyama H (1997) Shear capacity of retrofitted RC members with continuous fiber sheets.

Cited by 13Publish Year 2020Author Hai-Bang Ly, Tien-Thinh Le, Huong-Lan Thi Vu, Van Quan Tran, Lu Minh Le, Binh Thai PhamShear strength prediction of RC beams using adaptive neuro genetic algorithm for predicting shear strength of steel

For this purpose, the sub-clustering approach (SC) applied for generating ANFIS. The results indicated that the considered neuro-fuzzy system was able to predict the shear strength of the RC beams which have been reinforced with steel stirrups.(plate) Cited by 16Publish Year 2019Author Masoud Sarveghadi, Amir H. Gandomi, Hamed Bolandi, Amir Hossein Alavi(PDF) Development of prediction models for shear strength genetic algorithm for predicting shear strength of steel(steel) The MEP models provide good estimations of the shear strength of SFRCB. The developed models significantly outperform several equations found in the literature. The ratio of the experimental to the genetic algorithm for predicting shear strength of steel(plate) Cited by 16Publish Year 2019Author Masoud Sarveghadi, Amir H. Gandomi, Hamed Bolandi, Amir Hossein AlaviEvaluation and prediction of bond strength of GFRP-bar genetic algorithm for predicting shear strength of steel(steel) Cold-formed steel channels are made with staggered courses of slots for reduced thermal conductivity and improved energy efficiency of cold-formed steel buildings. The reduced shear strength of the slotted channels must be accurately evaluated in the design to ensure the safety of

Cited by 1Publish Year 2020Author Czesaw Bywalski, Micha Drzazga, Mieczysaw Kamiski, Maciej KamierowskiDESIGN OPTIMIZATION OF REINFORCED CONCRETE

Characteristic cube strength of the concrete f ck = 20.68 MPa Cost of concrete, C c 3= 610 (Rs. /m ) Characteristic strength for the steel f y = 275.8 MPa Cost of steel bars, C s =95.2809 (Rs. /kg). Solution The above problem is solved using Genetic algorithm coding and the results obtained are as follows Cost = 1650.34 Rs. /m(plate) Cited by 26Publish Year 2016Author Shahnewaz, Robert Machial, M. Shahria Alam, Ahmad RteilOptimization of Fiber-Reinforced Polymer Patches for genetic algorithm for predicting shear strength of steel(steel) Brighenti (2007) developed a tool in which a genetic algorithm (GA) was embedded in the FE code to obtain the patch topology that minimized the SIF of cracked steel plates.(plate) Cited by 2Publish Year 2017Author Gholamreza Abdollahzadeh, Ehsan Jahani, Zahra KashirOptimized shear design equation for slender concrete beams genetic algorithm for predicting shear strength of steel(steel) Jan 15, 2016The present study proposes new coefficients for the shear design equations of ACI 440.1R-06 , CSA S806-02 and CSA S6-09 codes and tooth model by Reineck by using Genetic Algorithm (GA) to improve their performance and accuracy for predicting shear strength of slender concrete beams reinforced with longitudinal and transverse FRP bars. In genetic algorithm for predicting shear strength of steel

Cited by 38Publish Year 2017Author Fei Yan, Zhibin Lin, Xingyu Wang, Fardad Azarmi, Konstantin SobolevComputational Hybrid Machine Learning Based Prediction of genetic algorithm for predicting shear strength of steel

Understanding shear behavior is crucial for the design of reinforced concrete beams and sustainability in construction and civil engineering. Although numerous studies have been proposed, predicting such behavior still needs further improvement. This study proposes a soft-computing tool to predict the ultimate shear capacities (USCs) of concrete beams reinforced with steel fiber, one of the genetic algorithm for predicting shear strength of steel(plate) Cited by 55Publish Year 2007Author M. Nehdi, M. Nehdi, M. Nehdi, H. El Chabib, H. El Chabib, H. El Chabib, A. Aly Saïd, A. Aly Saïd, A genetic algorithm for predicting shear strength of steel.Hybrid ANFIS with ant colony optimization algorithm for genetic algorithm for predicting shear strength of steel(steel) I. Moatazedian et al. used genetic algorithms technique for prediction of shear and compressional wave velocities from petrophysical data [6]. M. Asoodeh, P. Bagheripour utilized committee machine with intelligent systems for prediction of compressional, shear, and stoneley wave velocities from conventional well log data [7]. P.(plate) Cited by 5Publish Year 2019Author Hamed Bolandi, Wolfgang Banzhaf, Nizar Lajnef, Kaveh Barri, Amir H. Alavi(PDF) Nonlinear modeling of shear strength of SFRC beams genetic algorithm for predicting shear strength of steel(steel) A new nonlinear model was developed- to evaluate the shear resistance of steel fiber-reinforced concrete beams (SFRCB) using linear genetic programming (LGP). The proposed model relates the shear genetic algorithm for predicting shear strength of steel

Cited by 5Publish Year 2020Author Shahnewaz, M. Shahria AlamGenetic programming based symbolic regression for shear genetic algorithm for predicting shear strength of steel

The complexity of shear transfer mechanisms in steel fiber-reinforced concrete (SFRC) has motivated researchers to develop diverse empirical and soft-(plate) Combined Neural Networks and Genetic Algorithms as a genetic algorithm for predicting shear strength of steel(steel) Genetic Algorithms as a method for reducing redundancy in steel design Joo, Min Sung ( ) genetic algorithm for predicting shear strength of steel can predict the ultimate tensile strength and the elongation to failure respectively [Ryu, 2008], and combined with a genetic algorithm. genetic algorithm for predicting shear strength of steel Y Yield strength The shear stress(plate) Composite Frame Design Using a Genetic Algorithm(steel) A cost-based optimization model for design of composite beams was presented by Lorenz (1988). An optimum-cost design of partially-composite steel beams using LRFD was presented by Bhatti (1996). In this study, a genetic algorithm (GA) is used to design composite steel frames in compliance with the AISC load and resistance factor design (LRFD).

Development of prediction models for shear strength of genetic algorithm for predicting shear strength of steel

Aug 09, 2015Fiber-reinforced concrete (FRC) is made of portland cement, aggregate and discrete discontinuous fibers. Adding steel fibers into the concrete mix increases its shear strength and enhances the ductile behavior [1, 2].Using fiber reinforcement may remarkably reduce construction time and costs as conventional stirrups require relatively high labor input to bend and fix in place.(plate) Extracting Knowledge of Concrete Shear Strength From genetic algorithm for predicting shear strength of steel(steel) The ANN presented in this paper was able to predict the shear strength of reinforced concrete beams more accurately than the current approach. genetic algorithm for predicting shear strength of steel significant amount of variance (or scatter). The steel reinforcement contribution to the shear strength is taken as the force genetic algorithm for predicting shear strength of steel data (Umakant, 1999). Genetic algorithms are also used to increase genetic algorithm for predicting shear strength of steel(plate) GENETIC ALGORITHM BASED DESIGN OF A REINFORCED (steel) design shear strength has been introduced using the empirical formula, Table where where, so the section provided and singly reinforced sections where is the area of shear reinforcement, is the spacing of stirrups. The equations 4, 6, 10, and 12 also has been introduced as a constraint of the genetic algorithm in terms of

GP BASED PREDICTION FOR PUNCHING SHEAR

design model for the prediction of punching shear capacity of FRP-reinforced two-way slabs is proposed. The proposed model is an genetic algorithm for predicting shear strength of steel low shear strength, high thermal expansion coefficient, fire resistance (varies with type of matrix) [6] genetic algorithm for predicting shear strength of steel as an extension to Genetic Algorithms (GA), has proposed a new tool called as genetic programming (GP genetic algorithm for predicting shear strength of steel(plate) Genetic Programming Based Formulation to Predict genetic algorithm for predicting shear strength of steel(steel) "Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups", Applied Soft Computing, 19, 112-120. Ganguly, S., Datta, S. and Chakraborti, N. (2009). "Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels", Computational Materials Science , 45(1 genetic algorithm for predicting shear strength of steel(plate) Genetic search - An approach to the nonconvex optimization genetic algorithm for predicting shear strength of steel(steel) Shear strength estimation of adhesively bonded cylindrical components under static loading using the genetic algorithm approach International Journal of Adhesion and Adhesives, Vol. 25, No. 4 Estimation of welded joint strength using genetic algorithm approach

Hybrid neural network model for the design of beam genetic algorithm for predicting shear strength of steel

Articial neural networks have been used for predicting compressive strength of concrete (Ni Hong-Guang & Wang 2000), ultimate shear strength of genetic algorithm for predicting shear strength of steel shear. Genetic algorithm based neural network model has been developed to satisfy all the genetic algorithm for predicting shear strength of steel Grade of concrete Grade of steel S. No. Moment (kN-m) Shear (kN) (N/mm2)(N/mm2) Breadth (mm) 1 30 70 genetic algorithm for predicting shear strength of steel(plate) Multiobjective genetic programming for reinforced concrete genetic algorithm for predicting shear strength of steel(steel) Sep 29, 2020In this paper, an evolutionary symbolic implementation for the prediction of the shear strength of slender reinforced concrete (RC) beams based on ACI 31808 (2008) 13 without stirrups was investigated. In this implementation, various models including different characteristics via the combination of multiobjective genetic programming (MOGP genetic algorithm for predicting shear strength of steel(plate) Neural networks for predicting shear strength of CFS genetic algorithm for predicting shear strength of steel(steel) Feb 01, 2021Evaluation and prediction of bond strength of GFRP-bar reinforced concrete using artificial neural network optimized with genetic algorithm Compos. Struct. , 161 ( 2017 ) , pp. 441 - 452 , 10.1016/jpstruct.2016.11.068

Optimization of Flexural capacity of Reinforced fibrous genetic algorithm for predicting shear strength of steel

Beams Using Genetic Algorithm SUJI.D,NATESAN S.C, MURUGESAN.R Biography Suji .D is a Research Scholar at Sathyabama Institute Of Science and Technology, Deemed University, Chennai, India. She is a Life member of Indian society for Technical Education and Member of Institution of Engineers, India. She is having 18 years of teaching experience.(plate) Optimization of existing equations using a new genetic genetic algorithm for predicting shear strength of steel(steel) Optimization of existing equations using a new genetic programming algorithm application to the shear strength of reinforced concrete beams Juan L. Péreza, Antoni Claderab, Juan R. Rabuñalc, Fernando Martínez-Abellad a School of Building Engineering and Technical Architecture, University of A (plate) Optimization of laminate stacking sequence for buckling genetic algorithm for predicting shear strength of steel(steel) May 17, 2012The use of a genetic algorithm to improve the postbuckling strength of stiffened composite panels susceptible to secondary instabilities Composite Structures, Vol. 94, No. 3 Natural frequencies and vibration modes of laminated composite plates reinforced with

Optimized column design using genetic algorithm based genetic algorithm for predicting shear strength of steel

Optimized column design using genetic algorithm based neural networks H Sudarsana Rao* & B Ramesh Babu genetic algorithm for predicting shear strength of steel the model predicted the percentage of steel required for new problems with good accuracy satisfying all genetic algorithm for predicting shear strength of steel networks for predicting ultimate shear strength (plate) Predicting Shear Capacity of FRP-Reinforced Concrete Beams genetic algorithm for predicting shear strength of steel(steel) AbstractIntroductionReviews of Available Shear Design EquationsCollected DatabasesArtificial Neural NetworksGenetic ProgrammingNonlinear Regression ModelResults and DiscussionParametric AnalysesConclusionsThe shear strength prediction of fiber-reinforced polymer- (FRP-) reinforced concrete beams is one of the most complicated issues in structural engineering applications. Developing accurate and reliable prediction models is necessary and cost saving. This paper proposes three new prediction models, utilizing artificial neural networks (ANNs) and gene expression programming (GEP), as a recently developed artificial intelligent techniques, and nonlinear regression analysis (NLR) as a conventional teSee more on hindawiCited by 4Publish Year 2018Author Ghazi Bahroz Jumaa, Ali Ramadhan YousifShear strength prediction of reinforced concrete beams by genetic algorithm for predicting shear strength of steel(steel) May 30, 2019Developing an effective mathematical method for accurately estimating shear strength of RC beams is beneficial for civil engineers. This work presents a hybrid artificial intelligent (AI) model for effectively predicting the shear strength of various types of RC beam.(plate) Predicting shear wave velocity of soil using multiple genetic algorithm for predicting shear strength of steel(steel) Prediction of shear-wave velocity from CPT data at Eskisehir (Turkey) using a polynomial model", Near Surface Geophysics, 13(2), pp. 155-167 (2015). 52. Mola-Abasi, H., Eslami, A., and Tabatabaie Shourijeh, P. Shear wave velocity by polynomial neural networks and genetic algorithms based on geotechnical soil properties",

Prediction of Shear Strength and Ductility of Cyclically genetic algorithm for predicting shear strength of steel

The prediction of shear strength and ductility for these types of structural members has historically been performed using empirically or semi-empirically derived formulae based on experimental results.(plate) Research on the Prediction Method of Ultimate Bearing genetic algorithm for predicting shear strength of steel(steel) Sep 23, 2020In order to better predict ultimate bearing capacity of perfobond leiste shear connection (PBL), the six specimens were designed for push-out test, and the prediction models were built based on an Improved Adaptive Genetic Algorithm (IAGA) and Back Propagation neural network (BPNN) algorithm. With the finite element model established, it was found that the effects of different (plate) Shear strength of SFRCB without stirrups simulation genetic algorithm for predicting shear strength of steel(steel) Recent developments on shear strength (Vf) of steel fiber-reinforced concrete beam (SFRCB) simulation have been shifted to the implementation of the computer aid advancements. The current study is attempted to explore new hybrid artificial intelligence (AI) model called integrative support vector regression with firefly optimization algorithm (SVR-FFA) for shear strength prediction of

Suitability of multi-layer perceptron neural network

prediction of rolling forces, in combination with other optimisation techniques such as genetic algorithms, on-line adaptive-control, or in a combinatorial fashion for the correction of mathematical models. Schlang et al [12] reviews the use of neural networks installed on steel mills worldwide. They are currently used to predict(plate) Using genetic algorithms method for the paramount design genetic algorithm for predicting shear strength of steel(steel) Genetic Algorithms (GAs) have found the best design for reinforced concrete frames. The design of the optimum beam sections by GAs has been unified. The process of the optimum-design sections has satisfied axial, flexural, shear and torsion necessities based on the designing code. The frames' function has contained the function of both concrete and reinforced steel besides the function of the genetic algorithm for predicting shear strength of steel(plate) genetic algorithm for predicting shear (steel) steel shear strength chartshear strength of materials table

Genetic algorithm for predicting shear strength of steel genetic algorithm for predicting shear strength of steel

May 01, 2020This study proposes shear equation for steel fiber reinforced concrete beams based on Genetic Algorithm utilizing parameter identification and sensitivity analysis. The important parameters were identified using Meta-model of Optimal Prognosis (MOP) analysis which is integrated to develop the proposed shear equation using the Genetic Algorithm (GA).

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