Evaluation on Energy Equivalent Ductility Index Based on Optimized Algorithm

doi:10.11908/j.issn.0253-374x.2018.01.005

Home > Archive>Volume 46, Issue 01, 2018 >0030-0039. DOI:10.11908/j.issn.0253-374x.2018.01.005

Evaluation on Energy Equivalent Ductility Index Based on Optimized Algorithm
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                        10.11908/j.issn.0253-374x.2018.01.005
                    
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                        LIN HuangbinLIN Huangbin
School of Aerospace Engineering & Applied Mechanics, Tongji University, Shanghai 200092, China; College of Engineering, Jimei University, Fujian Xiamen 361021, China
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TANG ShougaoTANG Shougao
School of Aerospace Engineering & Applied Mechanics, Tongji University, Shanghai 200092, China
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Clc Number:P315.9
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Abstract:

back propagation(BP), radial basis function(RBF) and genetic algorithmback propagation (GABP) are used to train and predict the ultimate ductility index μΔeof dualenergy equivalent method. Five control parameters and PEER database and quasistatic test are used as training and prediction samples. BP and optimization algorithm of its node numbers in hidden layer and learning rate are compiled, RBF and optimization algorithm of its node numbers and central width are compiled. Genetic algorithm (GA) is used for optimizing weight wij and threshold θj in backpropagation (BP) to inhibit the local optimum, making relationship between testing data approximate to the real mapping principle. Algorithms is realized to predict μΔe of fullscale columns. Research indicates GABP has optimal adaptability and computing superiority, provide new method for structural damage evaluation.

Key words:optimized algorithm; energy equivalence; ductility index; damage evaluation

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LIN Huangbin, TANG Shougao. Evaluation on Energy Equivalent Ductility Index Based on Optimized Algorithm[J].同济大学学报(自然科学版),2018,46(01):0030~0039

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Received:March 24,2017
Revised:November 19,2017
Adopted:October 09,2017
Online: February 01,2018
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