지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.25 No.5
- 발행연도
- 2020.1
- 수록면
- 605 - 617 (13page)
이용수
초록· 키워드
오류제보하기
The existence of damages in structures causes changes in the physical properties by reducing the modal parameters. In this paper, we develop a two-stages approach based on normalized Modal Strain Energy Damage Indicator (<i>nMSEDI</i>) for quick applications to predict the location of damage. A two-dimensional IsoGeometric Analysis (2D-IGA), Machine Learning Algorithm (MLA) and optimization techniques are combined to create a new tool. In the first stage, we introduce a modified damage identification technique based on frequencies using <i>nMSEDI</i> to locate the potential of damaged elements. In the second stage, after eliminating the healthy elements, the damage index values from <i>nMSEDI</i> are considered as input in the damage quantification algorithm. The hybrid of Teaching-Learning-Based Optimization (TLBO) with Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) are used along with nMSEDI. The objective of TLBO is to estimate the parameters of PSO-ANN to find a good training based on actual damage and estimated damage. The IGA model is updated using experimental results based on stiffness and mass matrix using the difference between calculated and measured frequencies as objective function. The feasibility and efficiency of nMSEDI-PSO-ANN after finding the best parameters by TLBO are demonstrated through the comparison with nMSEDI-IGA for different scenarios. The result of the analyses indicates that the proposed approach can be used to determine correctly the severity of damage in beam structures.
목차
등록된 정보가 없습니다.
참고문헌 (43)
참고문헌 신청
Osama Abdeljaber / 2017 / Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks / Journal of Sound and Vibration 388:154~170
Cosmin Anitescu / 2019 / Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems / Computers, Materials & Continua 59(1):345~359
Benaissa, B. / 2017 / Application of proper orthogonal decomposition and radial basis functions for crack size estimation using particle swarm optimization / Journal of Physics : Conference Series, IOP Publishing 842(1):012014
Roberto Capozucca / 2014 / Vibration of CFRP cantilever beam with damage / Composite Structures 116:211~222
R. Capozucca / 2015 / Notched CFRP laminates under vibration / Composite Structures 122:367~375
Cosmin Anitescu / 2019 / Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems / Computers, Materials & Continua 59(1):345~359
Benaissa, B. / 2017 / Application of proper orthogonal decomposition and radial basis functions for crack size estimation using particle swarm optimization / Journal of Physics : Conference Series, IOP Publishing 842(1):012014
Roberto Capozucca / 2014 / Vibration of CFRP cantilever beam with damage / Composite Structures 116:211~222
R. Capozucca / 2015 / Notched CFRP laminates under vibration / Composite Structures 122:367~375
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