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 Structural Engineering and Mechanics, An Int'l Journal Structural Engineering and Mechanics, An Int'l Journal Vol.83 No.5
- 발행연도
- 2022.9
- 수록면
- 593 - 607 (15page)
이용수
초록· 키워드
오류제보하기
To solve the problem of detecting structural damage, a two-stage method using the Kalman filter and Particle Swarm Optimization (PSO) is proposed. In this method, the first PSO population is enhanced using the Kalman filter method based on dynamic responses. Due to noise in the sensor responses and errors in the damage detection process, the accuracy of the damage detection process is reduced. This method proposes a novel approach for solve this problem by integrating the Kalman filter and sensitivity analysis. In the Kalman filter, an approximate damage equation is considered as the equation of state and the damage detection equation based on sensitivity analysis is considered as the observation equation. The first population of PSO are the random damage scenarios. These damage scenarios are estimated using a step of the Kalman filter. The results of this stage are then used to detect the exact location of the damage and its severity with the PSO algorithm. The efficiency of the proposed method is investigated using three numerical examples: a 31-element planer truss, a 52-element space dome, and a 56-element space truss. In these examples, damage is detected for several scenarios in two states: using the no noise responses and using the noisy responses. The results show that the precision and efficiency of the proposed method are appropriate in structural damage detection.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization
Smart Structures and Systems, An International Journal
2020 .01
-
A two-stage damage detection method for truss structures using a modal residual vector based indicator and differential evolution algorithm
Smart Structures and Systems, An International Journal
2016 .01
-
Vibration-based method for story-level damage detection of the reinforced concrete structure
Computers and Concrete, An International Journal
2021 .01
-
Kalman Filter 를 이용한 트랙형 무인로봇의 위치 오차 저감 방법
한국정밀공학회 학술발표대회 논문집
2015 .12
-
A fast damage detecting technique for indeterminate trusses
Structural Engineering and Mechanics, An Int＇l Journal
2020 .01
-
Damage detection based on MCSS and PSO using modal data
Smart structures and systems
2015 .01
-
Hierarchical neural network for damage detection using modal parameters
Structural Engineering and Mechanics, An Int＇l Journal
2019 .01
-
A two-stage damage detection method for truss structures using a modal residual vector based indicator and differential evolution algorithm
Smart structures and systems
2016 .01
-
An innovative method to improve the performance of Extended Kalman filter for system identification
대한토목학회 학술대회
2022 .10
-
Sparsity-constrained Extended Kalman Filter concept for damage localization and identification in mechanical structures
Smart structures and systems
2018 .01
-
Damage detection in plate structures using frequency response function and 2D-PCA
Smart Structures and Systems, An International Journal
2017 .01
-
Damage detection in plate structures using frequency response function and 2D-PCA
Smart structures and systems
2017 .01
-
Probabilistic structural damage detection approaches based on structural dynamic response moments
Smart structures and systems
2017 .01
-
Multi-rate Kalman Filter based lane detection method
한국자동차공학회 춘계학술대회
2016 .05
-
A novel heuristic search algorithm for optimization with application to structural damage identification
Smart Structures and Systems, An International Journal
2017 .01
-
A novel PSO-based algorithm for structural damage detection using Bayesian multi-sample objective function
Structural engineering and mechanics : An international journal
2017 .01
-
Structural damage identification for elements and connections using an improved genetic algorithm
Smart Structures and Systems, An International Journal
2021 .11
-
Probabilistic structural damage detection approaches based on structural dynamic response moments
Smart Structures and Systems, An International Journal
2017 .01
-
Damage detection using both energy and displacement damage index on the ASCE benchmark problem
Structural Engineering and Mechanics, An Int＇l Journal
2021 .01
-
Deep-Learning 을 이용한 Kalman Filter 의 성능 향상 방안
한국통신학회 학술대회논문집
2022 .06
이 논문의 저자 정보
최근 본 자료
댓글(0)
0