Dynamic behavior modeling of civil structures using Wavenets and Neural Networks: A comparative study

被引：0

作者：

Perez-Ramirez, C. A. ^{[1
]}

Amezquita-Sanchez, J. P. ^{[1
]}

Valtierra-Rodriguez, M. ^{[1
]}

Mejia-Barron, A. ^{[1
]}

Dominguez-Gonzalez, A. ^{[1
]}

Osornio-Rios, R. A. ^{[1
]}

Romero-Troncoso, R. J. ^{[2
]}

机构：

[1] Univ Autonoma Queretaro, Fac Ingn, HSPdigital CA Mecatron, Campus San Juan del Rio,Rio Moctezuma 249, San Juan Del Rio 76807, Queretaro, Mexico

[2] Univ Autonoma Queretaro, Fac Ingn, San Juan Del Rio 76807, Queretaro, Mexico

来源：

2014 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONICS AND AUTOMOTIVE ENGINEERING (ICMEAE) | 2014年

关键词：

Wavenets; Civil Structures; Dynamic Modeling; NARX; TDNN; SYSTEM-IDENTIFICATION;

D O I：

10.1109/ICMEAE.2014.33

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Civil structures are known for having a non-linear and time-variant behavior; these features make a challenging task the use of linear methods for modeling the dynamical behavior since they only model time-invariant systems. To overcome this limitation, several approaches based on non-parametric methods have been proposed; however, the selection of the best-suited method for a particular case can be a complicated decision-making process. In this paper, a comparison between dynamic neural networks and wavenets for modeling the dynamic response of a five-bay space truss structure is presented; by using the structure response to a chirp signal, the models are created. Then, the root mean squared value (RMSE) is employed for determining the model that best approximates the dynamic behavior. An experimental study is carried out in order to validate the models efficiency and their accuracy

引用

页码：54 / 59

页数：6

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