Proceedings of the 2016 International Conference on Biological Sciences and Technology

Parameters Identification of Short Hanger Based on Adaptive Genetic Algorithm

Authors
Pei Yuan
Corresponding Author
Pei Yuan
Available Online January 2016.
DOI
10.2991/bst-16.2016.20How to use a DOI?
Keywords
Tension, Short hanger, Genetic Algorithm, Civil engineering.
Abstract

The hanger tension is crucial in arch bridges, and the fundamental frequency of short hangers is significantly affected by the flexural rigidity. In order to measure the hanger tension considering the flexural rigidity, the Additional Mass Method (AMM) is applied. The tension and flexural rigidity can be calculated by the measured frequencies without and with the additional mass. The difficult inverse calculation among the frequency, tension and stiffness is solved by GA. Using this method to identify the hanger tension and flexural rigidity simultaneous is proved to be feasible through the numerical simulation and field measurement, it is a successful application in civil engineering for computational biology.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Biological Sciences and Technology
Series
Advances in Biological Sciences Research
Publication Date
January 2016
ISBN
978-94-6252-161-2
ISSN
2468-5747
DOI
10.2991/bst-16.2016.20How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pei Yuan
PY  - 2016/01
DA  - 2016/01
TI  - Parameters Identification of Short Hanger Based on Adaptive Genetic Algorithm
BT  - Proceedings of the 2016 International Conference on Biological Sciences and Technology
PB  - Atlantis Press
SP  - 131
EP  - 135
SN  - 2468-5747
UR  - https://doi.org/10.2991/bst-16.2016.20
DO  - 10.2991/bst-16.2016.20
ID  - Yuan2016/01
ER  -