The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2012
Session ID : G010015
Conference information
G010015 Inverse Analysis for Identification of Impact Load Based on Model Selection using Akaike's Information Criterion
Makoto HASEGAWAAkira OMIYAMitsunari KITAYAMAMasayuki NAKAMURA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
This paper proposes a method of inverse analysis for identification of an impact load using selected strain data. Taking the dynamic behavior of structure under the impact load is comparatively easy if many sensors and high precision measuring devices are available. On the other hand, if the dynamic behavior can be obtained by a few strain data with lower accuracy, the method has advantages to measuring cost and efficiency. In this study, Akaike's Information Criterion is used for determining optimum number of the hidden neuron for the neural network. As a result, it is shown that the proposed method using Akaike's Information Criterion has an advantage on the inverse analysis.
Content from these authors
© 2012 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top