Identification of Structural Parameters and Input Ground Motion From Response Time Histories

Toki, Kenzo; Sato, Tadanobu; Kiyono, Junji

doi:10.2208/jscej.1989.410_243

Cited by 44 publications

(21 citation statements)

References 6 publications

(1 reference statement)

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“…The maximum error in the identification using EKF-based procedure is 11.8%, but it is only 4.4% using UKF-based procedure. The acceptable error in the identification process was reported to be about 10% 22,25,26 . From the results, it can be noticed the magnitude of error using EKF is larger and varied significantly from members to members; indicating the method failed to identify the defect-free state of the frame accurately.…”

Section: Health Assessment Of Defect-free Framementioning

confidence: 99%

A new extension of unscented Kalman filter for structural health assessment with unknown input

Al-Hussein

Haldar

2014

SPIE Proceedings

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A time-domain nonlinear system identification (SI)-based structural health assessment (SHA) procedure, using Unscented Kalman Filter (UKF) concept, is presented in this paper. It is a two-stage procedure. It integrates an iterative least squares technique and the unscented Kalman filter concept. The authors believe that the integrated procedure significantly improves the basic UKF concept. The procedure can assess the health of a structure using only a limited number of noise-contaminated acceleration time-histories measured only at a small part of a structure and does not need information on input excitation. The structures are represented by finite element models and the location and severity of defect(s) are assessed by tracking the changes in the stiffness properties of individual elements from their expected values. With the help of examples, it is demonstrated that the method is capable of accurately identifying defect-free and defective states of structures. Small and relatively large defects are introduced at different locations in the structure and the capability of the method to detect the health of the structure is examined. It is demonstrated that the accuracy of the method is much better than the other methods currently available for the structural health assessment. It is also superior to the extended Kalman filter. Considering the accuracy and robustness, the procedure can be used as a nondestructive structural health assessment procedure.

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Section: Health Assessment Of Defect-free Framementioning

confidence: 99%

A new extension of unscented Kalman filter for structural health assessment with unknown input

Al-Hussein

Haldar

2014

SPIE Proceedings

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“…The mass and stiffness matrix of th i element in the local coordinate system are assumed to be known as i M and i K in [7].Transforming them into the global coordinate system, it can be given by…”

Section: B the Physical Parameters Identification Of Bridge Structurementioning

confidence: 99%

Vibration-Based Physical Parameter Identification of Bridge Structures under Traffic Excitation

Liu

et al. 2009

2009 International Conference on Information Engineering and Computer Science

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A new compound method of physical parameters identification of bridge structures under traffic excitation is presented in this paper. Employing the Dynamic Nodal Loading (DNL) approach, which could consider the dynamic response due to the road irregularities and vehicle inertia effect of a vehiclestructure system, the moving vehicle load could be converted into the transient load on each node in time domain. Then, the accelerate response of bridge structures calculated with the Newmark β − method, is used to construct the displacement, velocity and acceleration response in the transform space. At last, the recurrence formula derived based on the principle of least squares, is utilized to obtain the physical parameters of bridge structures in the transform space. The feasibility and effectiveness of the proposed identification technique are demonstrated by a numerical example on the two-span Benchmark structure proposed by the Bridge Health Monitoring (SHM) Community of International Association of Bridge Maintenance and Safety (IABMAS). With the proposed technique, information collected about the traffic such as the arrival time and speed of vehicles will directly contribute to improving the structural property identification. The method should be more accessible to theoretical significance and merit of potentially practical utilization.

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“…To address the issue of noise in the responses, numerically generated white noise with intensity of 5% of the root mean square values of the responses observed at all dynamic degree of freedoms are added to the theoretical responses. The same procedure was followed by Toki et al (1989), Koh et al (1991) and Wang and Haldar (1994). With the noise-included response data, the frame is again identified and the results are shown in Table 1.…”

Section: Form Matrix a By Equationmentioning

confidence: 99%

“…As expected, for the noise-contaminated outputs, the maximum error increased to 2.461%. However, it is considerably smaller than other available methods reported in the literature (Toki et al, 1989;Koh et al, 1991). Defects in the frame are then introduced.…”

Section: Form Matrix a By Equationmentioning

confidence: 99%

Defect identification under uncertain blast loading

Katkhuda

Haldar

2006

Optim Eng

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A novel finite element-based system identification procedure is proposed to detect defects in existing frame structures when excited by blast loadings. The procedure is a linear time-domain system identification technique where the structure is represented by finite elements and the input excitation is not required to identify the structure. It identifies stiffness parameter (EI/L) of all the elements and tracks the changes in them to locate the defect spots. The similar procedure can also be used to monitor health of structures just after natural events like strong earthquakes and high winds. With the help of several numerical examples, it is shown that the algorithm can identify defect-free and defective structures even in the presence of noise in the output response information. The accuracy of the method is much better than other methods currently available even when input excitation information was used for identification purpose. The method not only detects defective elements but also locate the defect spot more accurately within the defective element. The structures can be excited by single or multiple blast loadings and the defect can be relatively small and large. With the help of several examples, it is established that the proposed method can be used as a nondestructive defect evaluation procedure for the health assessment of existing structures.

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Identification of Structural Parameters and Input Ground Motion From Response Time Histories

Cited by 44 publications

References 6 publications

A new extension of unscented Kalman filter for structural health assessment with unknown input

A new extension of unscented Kalman filter for structural health assessment with unknown input

Vibration-Based Physical Parameter Identification of Bridge Structures under Traffic Excitation

Defect identification under uncertain blast loading

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