Use of a Genetic Algorithm to Predict the Stiffness Reductions and Retrofitting Effects on Structures Subjected to Seismic Loads

Jae-Hun Lee; Kwang-Sik Ahn; Sang-Youl Lee

doi:10.7734/COSEIK.2020.33.3.193

All Issue

2020 Vol.33, Issue 3 Preview Page Next Page

Research Paper

Use of a Genetic Algorithm to Predict the Stiffness Reductions and Retrofitting Effects on Structures Subjected to Seismic Loads 지진하중을 받은 구조물의 유전알고리즘 기반 강성저하 및 보강 효과 추정

30 June 2020. pp. 193-199

PDF XML

Abstract

This study examines a method for identifying stiffness reductions in structures subjected to seismic loads and retrofitting effects using a combination of the finite element method and an advanced genetic algorithm. The novelty of this study is the application of seismic loading and its response to anomalies in the tested structure. The technique described in this study may enable not only detection of damaged elements but also the identification of their locations and the extent of damage due to seismic loading. To demonstrate the feasibility of the method, the advanced genetic algorithm is applied to frame and truss bridge structures subjected to El Centro and Pohang seismic loads. The results reveal the excellent computational efficiency of the method and its ability to prevent severe damage from earthquakes.

Keywords

seismic load

stiffness reduction

retrofitting effect

genetic algorithm

본 논문은 유한요소법과 유전알고리즘을 연동하여 지진하중을 받는 구조물의 강성저하(손상) 및 보강 후 효과를 추정하는 방법을 다루었다. 본 연구의 독창성은 지진하중을 적용하였고, 그 응답으로부터 구조물의 미지 변수를 추정한다는 점이다. 본 연구에서 제안한 방법은 지진하중으로부터 손상된 부위를 추정할 뿐 아니라, 그 위치와 정도를 규명할 수 있다. 제안한 방법을 검증하기 위하여 El Centro 및 포항 지진하중을 적용하여 저층 뼈대구조물와 트러스 교량을 대상으로 알고리즘을 실행하였다. 수치해석 예제는 제안한 방법이 수치해석적인 효율성 뿐 아니라 지진으로부터의 심각한 피해를 예방하는 데 적용할 수 있음을 보여주었다.

키워드

지진하중

강성저하

보강효과

유전알고리즘

References

Cazacu R., Grama L. (2014) Steel Truss Optimization Using Genetic Algorithms and FEA, Proc. Technol., 12, pp.339~346.

10.1016/j.protcy.2013.12.496

Chandrashekhar, M., Ganguli, R. (2009) Optimal Design Technique of Nielsen Arch Bridges by Using Genetic Algorithm, Struct. Health Monit., 8, pp.267~282.

10.1177/1475921708102088

Han, T.Y. (2010) A Study of ILM Bridge Optimization using Genetic Algorithms, Mater Thesis, Mokpo National Maritime University.

Lee, K.S., Jung, Y.S. (2009) Optimal Design Technique of Nielsen Arch Bridges by Using Genetic Algorithm, J. Korean Soc. Steel Constr., 21, pp.361~373.

Lee, S.Y., Kim, G.D. (2018) Micromechanical Damage Identification of Vibrating Laminated Composites Using Bivariate Gaussian Function-Based Genetic Algorithms, J. Compos. Mater., 52, pp.2829~2844.

10.1177/0021998318754997

Park, K.Y., Park, S.W., Kim, D.K., Lee, S.H. (2019) Displacement Reconstruction Using Acceleration Time History Measured by Seismic Acceleration Sensor Installed on the Center of Main Girder of Cable-stayed Bridge: Case Study on Pohang Earthquake, J. Korean Soc. Adv. Compos. Struct., 10, pp.50~58.

10.11004/kosacs.2019.10.1.050

Rus, G., Lee, S.Y., Chang, S.Y., Wooh, S.C. (2006) Optimized Damage Detection of Steel Plates From Noisy Impact Test, Int. J. Numer. Methods Eng., 68, pp.707~727.

10.1002/nme.1720

Sakamoto, J., Oda, J. (2012) A Technique of Optimal Layout Design for Truss Structures Using Genetic Algorithm, AIAA, 93, pp.2402~2408.

Sharif-Khodaei, Z.M., Aliabadi, M.H. (2015) Impact Damage Detection in Composite Plates Using a Self-Diagnostic Electro- Mechanical Impedance Based Structural Health Monitoring System, J. Multiscale Model, 6, pp.1~20.

10.1142/S1756973715500134

Information

Publisher :Computational Structural Engineering Institute of Korea
Publisher(Ko) :한국전산구조공학회
Journal Title :Journal of the Computational Structural Engineering Institute of Korea
Journal Title(Ko) :한국전산구조공학회 논문집
Volume : 33
No :3
Pages :193-199
Received Date : 2020-03-27
Revised Date : 2020-04-01
Accepted Date : 2020-04-02
DOI :https://doi.org/10.7734/COSEIK.2020.33.3.193

Journal of the Computational Structural Engineering Institute of Korea ISSN:1229-3059(Print) 2287-2302(Online) 한국전산구조공학회 논문집

All Issue