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
- 발행연도
- 2018.1
- 수록면
- 561 - 574 (14page)
이용수
초록· 키워드
오류제보하기
In this paper, for efficiently reducing the computational cost of the model updating during the optimization process of damage detection, the structural response is evaluated using properly trained surrogate model. Furthermore, in practice uncertainties in the FE model parameters and modelling errors are inevitable. Hence, an efficient approach based on Monte Carlo simulation is proposed to take into account the effect of uncertainties in developing a surrogate model. The probability of damage existence (PDE) is calculated based on the probability density function of the existence of undamaged and damaged states. The current work builds a framework for Probability Based Damage Detection (PBDD) of structures based on the best combination of metaheuristic optimization algorithm and surrogate models. To reach this goal, three popular metamodeling techniques including Cascade Feed Forward Neural Network (CFNN), Least Square Support Vector Machines (LS-SVMs) and Kriging are constructed, trained and tested in order to inspect features and faults of each algorithm. Furthermore, three wellknown optimization algorithms including Ideal Gas Molecular Movement (IGMM), Particle Swarm Optimization (PSO) and Bat Algorithm (BA) are utilized and the comparative results are presented accordingly. Furthermore, efficient schemes are implemented on these algorithms to improve their performance in handling problems with a large number of variables. By considering various indices for measuring the accuracy and computational time of PBDD process, the results indicate that combination of LS-SVM surrogate model by IGMM optimization algorithm have better performance in predicting the of damage compared with other methods.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Optimization-based method for structural damage detection with consideration of uncertainties- a comparative study
Smart Structures and Systems, An International Journal
2018 .01
-
Damage detection of plate-like structures using intelligent surrogate model
Smart structures and systems
2016 .01
-
Damage detection of plate-like structures using intelligent surrogate model
Smart Structures and Systems, An International Journal
2016 .01
-
Probabilistic structural damage detection approaches based on structural dynamic response moments
Smart structures and systems
2017 .01
-
Probabilistic structural damage detection approaches based on structural dynamic response moments
Smart Structures and Systems, An International Journal
2017 .01
-
Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization
Smart Structures and Systems, An International Journal
2020 .01
-
A novel heuristic search algorithm for optimization with application to structural damage identification
Smart structures and systems
2017 .01
-
An artificial neural network residual kriging based surrogate model for curvilinearly stiffened panel optimization
Advances in computational design
2016 .01
-
A novel heuristic search algorithm for optimization with application to structural damage identification
Smart Structures and Systems, An International Journal
2017 .01
-
A Highly Efficient Aeroelastic Optimization Method Based on a Surrogate Model
International Journal of Aeronautical and Space Sciences
2016 .12
-
Experimental validation of FE model updating based on multi-objective optimization using the surrogate model
Structural engineering and mechanics : An international journal
2018 .01
-
Structural damage detection using a multi-stage improved differential evolution algorithm (Numerical and experimental)
Smart structures and systems
2018 .01
-
A response surface modelling approach for multi-objective optimization of composite plates
Steel and Composite Structures, An International Journal
2019 .01
-
A new multi-stage SPSO algorithm for vibration-based structural damage detection
Structural Engineering and Mechanics, An Int＇l Journal
2022 .11
-
Numerical and experimental investigation for damage detection in FRP composite plates using support vector machine algorithm
Structural monitoring and maintenance
2018 .01
-
Experimental validation of FE model updating based on multi-objective optimization using the surrogate model
Structural Engineering and Mechanics, An Int＇l Journal
2018 .01
-
Structural damage identification based on modified Cuckoo Search algorithm
Structural Engineering and Mechanics, An Int＇l Journal
2016 .01
-
Structural damage detection using a multi-stage improved differential evolution algorithm (Numerical and experimental)
Smart Structures and Systems, An International Journal
2018 .01
-
BB-BC optimization algorithm for structural damage detection using measured acceleration responses
Structural engineering and mechanics : An international journal
2017 .01
-
A novel multi-fidelity Kriging surrogate model and optimization strategy
대한기계학회 춘추학술대회
2024 .11
이 논문의 저자 정보
최근 본 자료
댓글(0)
0