• Computational Structural Engineering : An International Journal
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• 제3권1호
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• pp.1-7
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• 2003

For system identification of large structures, it is not practical to identify the entire structure due to the prohibitive computational time and difficulty in numerical convergence. This paper explores the possibility of performing system identification at substructure level, taking advantage of reduction in both the number of unknowns and the number of degrees of freedom involved. Another advantage is that different portions (substructures) of a structural system can be identified independently and even concurrently with parallel computing. Two substructural identification methods are formulated on the basis whether substructural approach is used to obtain first-order or second-order model. For substructural first-order model, identification at the substructure level will be performed by means of the Observer/Kalman filter Identification (OKID) and the Eigensystem Realization Algorithm (ERA) whereas identification at the global level will be performed to obtain second-order model in order to evaluate the system's stiffness and mass parameters. In the case of substructural second-order model, identification will be performed at the substructure level throughout the identification process. The efficiency of the proposed technique is shown by numerical examples for multi-storey shear buildings subjected to random forces, taking into consideration the effects of noisy measurement data. The results indicate that both the proposed methods are effective and efficient for damage identification of large structures.

• Smart Structures and Systems
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• 제15권1호
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• pp.169-189
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• 2015

Convergence difficulty and available complete measurement information have been considered as two primary challenges for the identification of large-scale engineering structures. In this paper, a time domain substructural identification approach by combining a weighted adaptive iteration (WAI) algorithm and an extended Kalman filter method with a weighted global iteration (EFK-WGI) algorithm was proposed for simultaneous identification of physical parameters of concerned substructures and unknown external excitations applied on it with limited response measurements. In the proposed approach, according to the location of the unknown dynamic loadings and the partially available structural response measurements, part of structural parameters of the concerned substructure and the unknown loadings were first identified with the WAI approach. The remaining physical parameters of the concerned substructure were then determined by EFK-WGI basing on the previously identified loadings and substructural parameters. The efficiency and accuracy of the proposed approach was demonstrated via a 20-story shear building structure and 23 degrees of freedom (DOFs) planar truss model with unknown external excitation and limited observations. Results show that the proposed approach is capable of satisfactorily identifying both the substructural parameters and unknown loading within limited iterations when both the excitation and dynamic response are partially unknown.

• 한국소음진동공학회논문집
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• 제11권7호
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• pp.287-294
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• 2001

The identification of connection stiffnesses of bolted structures is presented using FRT-based substructural sensitivity analysis. The substructural design sensitivity formula is derived and plugged into the optimization module of MATLAB to identify connection stiffnesses of an air-conditioner compressor or passenger Car. The air-conditioner composed of a compressor and a bracket, is analysed by using the FRT-based substructural(FBS) method to obtain FTRs an FE model is generated for the bracket, and the impact hammer test is performed for the compressor, Obtained FRTs are combined to calculate the reaction force at the connection point and the system response. By minimizing the difference between a target FRT and calculated one the connection element properties of the air-conditioner syste are identified It is shown that the proposed identification method is effective for a real problem.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 춘계학술대회논문집
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• pp.786-792
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• 2001

In this paper, the identification of connections for a vibration system has been presented using FRF-based substructural sensitivity analysis. The substructural design sensitivity formula is derived and plugged into a commercial optimization program, MATLAB, to identify connection stiffness of an air-conditioner system of passenger car. The air-conditioner system, composed of a compressor and a bracket is analyzed by using FRF-based substructural(FBS) method. To obtain the FRFs, FE model is built for the bracket, and the impact hammer test is performed for the compressor. Obtained FRFs are combined to calculate the reaction force at the connection point and the system response. Connection element properties are determined by minimizing the difference between a target FRF and calculated one. It is shown that the proposed identification method is effective even for a real problem.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1996년도 봄 학술발표회 논문집
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• pp.119-126
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• 1996

In this paper, a method of substructural identification is presented for the estimation of localized structural parameters. for this purpose, an auto-regressive and moving average with stochastic input (ARMAX) model is derived for the substructure to process the measurement data impaired by noises. The sequential prediction error method is used fer the estimation of unknown localized parameters. Using the substructural method, the number of unknown parameters can be reduced and the convergence and accuracy of estimation can be improved. For some substructures, the effect of the input excitation is expressed in terms of the responses at the inferences with the main structure, and substructural identification may be carried out without measuring the actual input excitation to the whole structure. Example analysis is carried out for idealized structural models of a multistory building and a truss bridge. The results indicate that the present method is effective and efficient for local damage estimation of complex structures.

• 한국지진공학회논문집
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• 제1권2호
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• pp.1-15
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• 1997

본 논문에서는 대형구조물에서 구조물의 안전성 평가와 관련하여 구조물이 국부손상도를 추정하기 위한 효율적인 부분구조추정(Substructural Identification) 기법에 대하여 연구하였다. 먼저, 부분구조 추정법을 위한 모형식을 설정하기 위하여 운동방정식으로부터 부분구조에 대한 계측오차를 처리하기 위한 모형을 포함한 추계론적 자동회귀-이동평균(ARAMX) 모형식을 유도하였다. 추정된 모형식의 계수는 유도된 관계식을 이용하면, 구조손상 평가에 이용될 수 있는 강성행렬로 환산될 수 있다. 본 논문에서 유도된 부분구조 추정법의 가장 큰 장점은 매우 안정되고 정확도가 우수한 구조추정법인 ARMAX 모형식에 기반한 순차적 예측오차 방법을 사용함으로써 다른 방법에 비해 추정의 안정성 및 정확도가 뛰어나다는 것이다. 다음으로는 개발된 부분구조 추정법을 이용하여 구조 손상도 추정이 수행되었다. 손상도 추정을 위하여 앞서 순차적 예측오차 방법을 이용하여 추정된 구조계 현상태의 강성행렬을 바탕으로, 최소지승법을 이용하여 구하는 간접법이 제시되었다. 제시된 방법들의 검증을 위하여 예제해석이 수행되었다. 트러스 및 연속교 모형 그리고 실험적 예제에 적용하여 구조의 강성행렬 및 감쇠행렬을 추정하였다. 이를 바탕으로 손상도 추정방법이 검증되었다. 해석결과로부터, 개발된 방법이 효율적이고 정확도 및 안정성의 측면에서 우수한 성질이 있음을 확인할 수 있다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2005년도 춘계 학술발표회 논문집
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• pp.556-563
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• 2005

This paper proposed a new substructural identification method to estimate the bending stiffness of a bridge deck, a fundamental structural health index of a super-structure. The proposed method can estimate the bending stiffness without considering actual supporting conditions by using substructural identification method while most of conventional methods need reasonable assumptions on supporting conditions which are hard to be assessed in a real bridge in operation. The mathematical formulation is derived and the results of laboratory tests are summarized. It was verified that the proposed method gives consistent estimation results regardless of actual supporting conditions.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2001년도 춘계학술대회 논문집
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• pp.435-442
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• 2001

A substructural model for a part of a long continuous bridge is identified using measured acceleration at limited locations within the part. Boundary spring constants and structural properties are idenfitied using a system identification method. The proposed method has been examined through simulation studies for static and dynamic responses and the results are discussed in the paper. The method is applied to an actual plate-girder gerber bridge with modal response obtained from a moving truck and construction blasting vibration

• Structural Engineering and Mechanics
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• 제67권4호
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• pp.359-368
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• 2018

In this paper, a method is presented to identify the physical and modal parameters of multistory shear building based on substructural technique using block pulse generalized operational matrix and genetic algorithm. The substructure approach divides a complete structure into several substructures in order to significantly reduce the number of unknown parameters for each substructure so that identification processes can be independently conducted on each substructure. Block pulse functions are set of orthogonal functions that have been used in recent years as useful tools in signal characterization. Assuming that the input-outputs data of the system are known, their original BP coefficients can be calculated using numerical method. By using generalized BP operational matrices, substructural dynamic vibration equations can be converted into algebraic equations and based on BP coefficient for each story can be estimated. A cost function can be defined for each story based on original and estimated BP coefficients and physical parameters such as mass, stiffness and damping can be obtained by minimizing cost functions with genetic algorithm. Then, the modal parameters can be computed based on physical parameters. This method does not require that all floors are equipped with sensor simultaneously. To prove the validity, numerical simulation of a shear building excited by two different normally distributed random signals is presented. To evaluate the noise effect, measurement random white noise is added to the noise-free structural responses. The results reveal the proposed method can be beneficial in structural identification with less computational expenses and high accuracy.

• 전산구조공학
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• 제11권4호
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• pp.361-370
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• 1998

본 논문에서는 역전파학습에 의한 신경망기법을 사용하여 구조물의 미지계수를 추정하는 기법을 연구하였다. 대형구조물의 경우 계측 또는 추정하여야 하는 자유도의 수가 많으므로 인하여 구조계수를 추정하는 데에는 많은 어려움이 존재한다. 이러한 어려움을 극복하기 위하여 부구조추정법과 부행렬계수를 사용하여 추정하고자 하는 미지계수의 수를 효율적으로 줄일 수 있도록 하였다. 구조물의 고유주파수 및 모드형상 등의 모드계수를 신경망의 입력자료로 사용하였으며, 추정하고자 하는 부재의 부행렬계수를 신경방의 출력자료로 사용하였다. 입력자료로 사용되는 모드계수에 포함되어 있는 계측오차 및 신호처리오차의 영향을 줄이기 위하여, 신경망의 학습과정에서 노이즈를 첨가하는 기법을 사용하였다. 일반적인 형태의 자켓구조물을 대상으로 수치해석을 수행함으로써 제안기법의 대형구조계에 대한 적용성을 검증하였다.