• Structural Engineering and Mechanics
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• 제81권3호
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• pp.293-303
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• 2022

As infrastructure ages and traffic load increases, serious public concerns have arisen for the well-being of bridges. The current health monitoring practice focuses on large-scale bridges rather than short span bridges. However, it is critical that more attention should be given to these behind-the-scene bridges. The relevant information about the construction methods and as-built properties are most likely missing. Additionally, since the condition of a bridge has unavoidably changed during service, due to weathering and deterioration, the material properties and boundary conditions would also have changed since its construction. Therefore, it is not appropriate to continue using the design values of the bridge parameters when undertaking any analysis to evaluate bridge performance. It is imperative to update the model, using finite element (FE) analysis to reflect the current structural condition. In this study, a FE model is established to simulate a concrete culvert bridge in New South Wales, Australia. That model, however, contains a number of parameter uncertainties that would compromise the accuracy of analytical results. The model is therefore updated with a neural network (NN) optimisation algorithm incorporating Monte Carlo (MC) simulation to minimise the uncertainties in parameters. The modal frequency and strain responses produced by the updated FE model are compared with the frequency and strain values on-site measured by sensors. The outcome indicates that the NN model updating incorporating MC simulation is a feasible and robust optimisation method for updating numerical models so as to minimise the difference between numerical models and their real-world counterparts.

• Journal of Magnetics
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• 제17권4호
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• pp.233-241
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• 2012

In this work, Monte Carlo simulation was used to investigate the magnetization properties of thin ferromagnetic films under a perturbation from a supplied heat pulse on one surface of the films. The finite difference method was used to extract the local temperature of each layer of the films as a function of time for various heat source power and heating period. Then, with the variation of the films temperature, Metropolis method was used to update the magnetic moment in magnetic grain, under the Ising framework and using the FePt parameters. With the extracted magnetization profiles, the relationship between magnetization relaxation in accordance with relevant heat parameters and films thickness was reported and discussed, with a purpose to form a database for future use.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.350-355
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• 2003

This paper presents results of vibration analysis of a end-winding of large generator for fossil power plant. A finite element analysis using a commercial S/W is performed to calculate alternating electromagnetic forces, mainly of 120㎐ in 60㎐ machines, acting on the end-winding, and then to calculate forced response of the end-winding under electromagnetic forces. Also, this paper presents analytical and experimental modal analysis results of generator end-winding to validate FE model. We calculated forced response of end-winding on 120㎐, double rotating frequency. These results will be used to evaluate structural reliability of end-winding and applied to update model.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2010년도 정기 학술발표대회
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• pp.39.2-39.2
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• 2010

본 논문에서는 프리스트레스트 콘크리트 거더 구조물의 긴장력 손실을 검색하기 위한 유한요소모델 개선기법을 제시하였다. 먼저, 유한요소모델개선 기법의 이론적 배경을 제시하였다. 두 번째로, 다수의 긴장력 조건하의 모형 PSC 거더에 대한 모드파라메터들을 측정하기위해 진동실험을 수행하였다. 세 번째로, 유한요소모델의 구조파라메터 개선을 통해 실험결과와 유사한 고유진동수를 얻기 위한 진동기반 구조식별을 수행하였다. 마지막으로, 다수의 긴장력 조건하에서 실험을 통해 측정된 고유진동수와 수치적으로 식별된 고유 진동수를 이용하여 모델개선 기법의 적합성을 검증하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 추계학술대회논문집 II
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• pp.826-831
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• 2001

Electromagnetic forces generate vibrations in the end-winding of large generators. A finite element analysis using a commercial S/W is performed to calculate electromagnetic force of end-winding in two pole generator for 500 MW fossil power plant. Also, this paper presents analytical and experimental modal analysis results of generator end- winding. Using validated FE model, 3D electromagnetic model which computes the forces on the end-winding is coupled with a 3D mechanical model which calculates the dynamic displacement and stress under electromagnetic forces. These results will be used to evaluate reliability of end-winding and applied to update model.

• 한국구조물진단유지관리공학회 논문집
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• 제19권2호
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• pp.60-67
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• 2015

유한요소모델 개선은 구조물의 설계검증, 손상추적, 내하력 평가 등 다양하게 활용되고 있는 기법이다. 일반적인 유한요소모델 개선은 구조물에서 계측된 가속도응답으로부터 구조물의 고유진동수와 모드형상을 구하고, 이를 바탕으로 모델을 개선하게 된다. 이와 같은 가속도응답기반 유한요소모델 개선은 구조물의 병진 자유도를 고려하기 때문에 물리적인 체계를 추정하는데 있어서 매우 적합하지만, 회전 자유도 상에서 변화하는 구조물의 경계조건을 판별하기에는 어려움이 있다. 최근 센서 기술의 개발로 인하여 저렴한 가격, 높은 정확성의 자이로센서들이 개발되고 있으며, 그에 따라 구조물의 회전 자유도에 관한 정보 획득이 용이해지고 있다. 본 연구에서는 이를 바탕으로 가속도와 각속도 응답을 함께 이용하는 데이터 융합 기반 유한요소모델 개선 기법을 제안하였다. 가속도와 각속도를 모두 활용한 데이터융합기법은, 가속도만 사용한 기존의 유한요소 모델 기법보다 구조물의 경계조건 판별에 정확한 정보를 제공한다. 본 논문에서는 단순보 모델을 이용한 수치 시뮬레이션을 통해서, 제안한 가속도와 각속도 데이터 융합기반의 유한요소모델 개선 기법의 성능을 검증하였다.

• 한국지진공학회논문집
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• 제10권6호
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• pp.19-28
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• 2006

기존의 유한요소모델개선기법들은 측정에 의한 모달 데이터와 해석적으로 계산된 시스템 행렬로 구성된 수학적인 목적함수를 사용하거나 업데이팅 변수에 관한 모달 특성의 미분함수를 사용하여야만 한다. 따라서 교량구조물과 같은 복잡한 구조물에의 적용이 어렵고 역해석에 있어 해의 안정성 문제가 발생할 수 있다. 또한 개선된 모델이 물리적인 의미를 지니지 못할 수도 있다. 본 논문에서는 유전자알고리즘과 Welder-Mead의 심플렉스기법을 사용한 하이브리드 최적화 유한요소모델개선기법을 제안하였다. 하이브리드 최적화 기법의 성능을 검증하기 위해 3개의 국부최소값과 1개의 전체최소값을 갖는 Goldstein-Price 함수를 사용하여 비선형문제에 대한 적용성을 검토하였다. 또한 최적화목적함수의 영향을 검토하기 위해 10개의 자유도를 갖는 스프링-질량 모델을 사용하여 변수연구를 수행하였다. 최종적으로 수치해석을 통해서 질량과 강성을 동시에 개선하기 위한 최적화 목적함수를 제시하고, 제안된 하이브리드 최적화 기법이 유한요소모델개선을 위해 매우 효과적인 방법임을 입증하였다.

• Structural Engineering and Mechanics
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• 제47권6호
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• pp.757-771
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• 2013

We present a semi-rigid connection estimation method by using cross modal strain energy method. While rigid or pinned assumptions are adopted for steel frames in traditional modeling via finite element method, the actual behavior of the connections is usually neither. Semi-rigid joints enable connections to be modeled as partially restrained, which improves the quality of the model. To identify the connection stiffness and update the FE model, a newly-developed cross modal strain energy (CMSE) method is extended to incorporate the connection stiffness estimation. Meanwhile, the relations between the correction coefficients for the CMSE method are derived, which enables less modal information to be used in the estimation procedure. To illustrate the capability of the proposed parameter estimation algorithm, a four-story frame structure is demonstrated in the numerical studies. Several cases, including Semi-rigid joint(s) on single connection and on multi-connections, without and with measurement noise, are investigated. Numerical results indicate that an excellent updating is achievable and the connection stiffness can be estimated by CMSE method.

• Structural Engineering and Mechanics
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• 제70권3호
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• pp.339-350
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• 2019

This research focuses on finite element model updating and damage assessment of structures at element level based on global nondestructive test results. For this purpose, an optimization system is generated to minimize the structural dynamic parameters discrepancies between numerical and experimental models. Objective functions are selected based on the square of Euclidean norm error of vibration frequencies and modal assurance criterion of mode shapes. In order to update the finite element model and detect local damages within the structural members, modern optimization techniques is implemented according to the evolutionary algorithms to meet the global optimized solution. Using a simulated numerical example, application of genetic algorithm (GA), particle swarm (PSO) and artificial bee colony (ABC) algorithms are investigated in FE model updating and damage detection problems to consider their accuracy and convergence characteristics. Then, a hybrid multi stage optimization method is presented merging advantages of PSO and ABC methods in finding damage location and extent. The efficiency of the methods have been examined using two simulated numerical examples, a laboratory dynamic test and a high-rise building field ambient vibration test results. The implemented evolutionary updating methods show successful results in accuracy and speed considering the incomplete and noisy experimental measured data.

• Structural Engineering and Mechanics
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• 제75권4호
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• pp.477-485
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• 2020

Finite element (FE) model based structural damage detection (SDD) methods play vital roles in effectively locating and quantifying structural damages. Among these methods, structural model updating should be conducted before SDD to obtain benchmark models of real structures. However, the characteristics of updating parameters are not reasonably considered in existing studies. Inspired by the l_∞ norm regularization, a novel anti-sparse representation method is proposed for structural model updating in this study. Based on sensitivity analysis, both frequencies and mode shapes are used to define an objective function at first. Then, by adding l_∞ norm penalty, an optimization problem is established for structural model updating. As a result, the optimization problem can be solved by the fast iterative shrinkage thresholding algorithm (FISTA). Moreover, comparative studies with classical regularization strategy, i.e. the l₂ norm regularization method, are conducted as well. To intuitively illustrate the effectiveness of the proposed method, a 2-DOF spring-mass model is taken as an example in numerical simulations. The updating results show that the proposed method has a good robustness to measurement noises. Finally, to further verify the applicability of the proposed method, a six-storey aluminum alloy frame is designed and fabricated in laboratory. The added mass on each storey is taken as updating parameter. The updating results provide a good agreement with the true values, which indicates that the proposed method can effectively update the model parameters with a high accuracy.