• Title/Summary/Keyword: structure response reconstruction

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Structural damage identification with power spectral density transmissibility: numerical and experimental studies

  • Li, Jun;Hao, Hong;Lo, Juin Voon
    • Smart Structures and Systems
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    • v.15 no.1
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    • pp.15-40
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    • 2015
  • This paper proposes a structural damage identification approach based on the power spectral density transmissibility (PSDT), which is developed to formulate the relationship between two sets of auto-spectral density functions of output responses. The accuracy of response reconstruction with PSDT is investigated and the damage identification in structures is conducted with measured acceleration responses from the damaged state. Numerical studies on a seven-storey plane frame structure are conducted to investigate the performance of the proposed damage identification approach. The initial finite element model of the structure and measured acceleration measurements from the damaged structure are used for the identification with a dynamic response sensitivity-based model updating method. The simulated damages can be identified accurately without and with a 5% noise effect included in the simulated responses. Experimental studies on a steel plane frame structure in the laboratory are performed to further verify the accuracy of response reconstruction with PSDT and validate the proposed damage identification approach. The locations of the introduced damage are detected accurately and the stiffness reductions in the damaged elements are identified close to the true values. The identification results demonstrated the accuracy of response reconstruction as well as the correctness and efficiency of the proposed damage identification approach.

Structural health monitoring response reconstruction based on UAGAN under structural condition variations with few-shot learning

  • Jun, Li;Zhengyan, He;Gao, Fan
    • Smart Structures and Systems
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    • v.30 no.6
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    • pp.687-701
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    • 2022
  • Inevitable response loss under complex operational conditions significantly affects the integrity and quality of measured data, leading the structural health monitoring (SHM) ineffective. To remedy the impact of data loss, a common way is to transfer the recorded response of available measure point to where the data loss occurred by establishing the response mapping from measured data. However, the current research has yet addressed the structural condition changes afterward and response mapping learning from a small sample. So, this paper proposes a novel data driven structural response reconstruction method based on a sophisticated designed generating adversarial network (UAGAN). Advanced deep learning techniques including U-shaped dense blocks, self-attention and a customized loss function are specialized and embedded in UAGAN to improve the universal and representative features extraction and generalized responses mapping establishment. In numerical validation, UAGAN efficiently and accurately captures the distinguished features of structural response from only 40 training samples of the intact structure. Besides, the established response mapping is universal, which effectively reconstructs responses of the structure suffered up to 10% random stiffness reduction or structural damage. In the experimental validation, UAGAN is trained with ambient response and applied to reconstruct response measured under earthquake. The reconstruction losses of response in the time and frequency domains reached 16% and 17%, that is better than the previous research, demonstrating the leading performance of the sophisticated designed network. In addition, the identified modal parameters from reconstructed and the corresponding true responses are highly consistent indicates that the proposed UAGAN is very potential to be applied to practical civil engineering.

A Study on the Artificial Recognition System on Visual Environment of Architecture (건축의 시각적 환경에 대한 지능형 인지 시스템에 관한 연구)

  • Seo, Dong-Yeon;Lee, Hyun-Soo
    • KIEAE Journal
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    • v.3 no.2
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    • pp.25-32
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    • 2003
  • This study deals with the investigation of recognition structure on architectural environment and reconstruction of it by artificial intelligence. To test the possibility of the reconstruction, recognition structure on architectural environment is analysed and each steps of the structure are matched with computational methods. Edge Detection and Neural Network were selected as matching methods to each steps of recognition process. Visual perception system established by selected methods is trained and tested, and the result of the system is compared with that of experiment of human. Assuming that the artificial system resembles the process of human recognition on architectural environment, does the system give similar response of human? The result shows that it is possible to establish artificial visual perception system giving similar response with that of human when it models after the recognition structure and process of human.

Optimum control system for earthquake-excited building structures with minimal number of actuators and sensors

  • He, Jia;Xu, You-Lin;Zhang, Chao-Dong;Zhang, Xiao-Hua
    • Smart Structures and Systems
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    • v.16 no.6
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    • pp.981-1002
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    • 2015
  • For vibration control of civil structures, especially large civil structures, one of the important issues is how to place a minimal number of actuators and sensors at their respective optimal locations to achieve the predetermined control performance. In this paper, a methodology is presented for the determination of the minimal number and optimal location of actuators and sensors for vibration control of building structures under earthquake excitation. In the proposed methodology, the number and location of the actuators are first determined in terms of the sequence of performance index increments and the predetermined control performance. A multi-scale response reconstruction method is then extended to the controlled building structure for the determination of the minimal number and optimal placement of sensors with the objective that the reconstructed structural responses can be used as feedbacks for the vibration control while the predetermined control performance can be maintained. The feasibility and accuracy of the proposed methodology are finally investigated numerically through a 20-story shear building structure under the El-Centro ground excitation and the Kobe ground excitation. The numerical results show that with the limited number of sensors and actuators at their optimal locations, the predetermined control performance of the building structure can be achieved.

Mode Shape Reconstruction of an impulse excited structure using HHT and CSLDV (HHT와 연속스캐닝 진동계를 이용한 임펄스가진된 구조물의 모드 형상 복원)

  • Kyong, Yong-Soo;Kim, Dae-Sung;Dayou, Jedol;Park, Kyi-Hwan;Wang, Se-Myung
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.04a
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    • pp.484-490
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    • 2008
  • For CSLDV, the Chebyshev demodulation (or polynomial) technique and Hilbert transform approach have been used for mode shape reconstruction with harmonic excitation. In this paper, the Hilbert-Huang transform approach was applied as an alternative to impact excitation cases in terms of a numerical approach. The vibration of the tested structure is modeled using impulse response functions. In order to verify this technique, a simply supported beam was chosen as the test rig. With additional innovative steps which are the ideal-band pass filter and the nodal point determination, Hilbert-Huang transformation can be used for a good mode shape reconstruction even in the impact excitation case.

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Analysis of impact structure on Business satisfaction and Continuous business intention by the conflict Response and processing of Apartment Reconstruction projects (공동주택 재건축 사업의 갈등대응 및 처리가 사업만족도 및 지속적 사업의사에 미치는 영향구조 분석)

  • Kim, Hyung-Jin;Lee, Joo-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.3
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    • pp.1699-1706
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    • 2015
  • The purpose of this study is to induce a indicator related to the response, handling and management which are appeared on each step of business enforcement in housing reconstruction projects. Then, it aims to appropriately and reasonably resolve the conflicts of reconstruction business with relevant subjects. These projects physician satisfaction and continual business was going to have the impact that any analysis of the structure in an evaluation. In addition, this study analyzes the impact structure on the business satisfaction and a intention for continuous business through this evaluation. This study sets a operational hypothesis in order to verify the relationship between the variables. then, it creates the structural model by using the Smart PLS 3.0. After analyzing the impact structure by using total 252 samples, this study adopts the final hypothesis which shows (+) path coefficient as set in the hypothesis and test statistic above 1.65. In result, six out of the nine hyphothesis are adopted. then, The 'Response to conflict' which affects the 'Management to conflict(H1)' has a path coefficient of 0.618. In addition, the 'Handling to conflict' which affects the 'Management to conflict(H2)' has a path coefficient of 0.150. The 'Handling to conflict' which affects the satisfaction of 'business' has a path coefficient of 0.101. and the 'management to conflict' which affects the satisfaction of 'business(H7)' has a path coefficient of 0.644. In addition, the 'Intention for continuous business(H8)' shows a path coefficient of 0.258. Finally, The satisfaction of 'business' which affects the 'intention for continuous business(H9)' has a path coefficient of 0.391.

Design of M-Channel IIR Uniform DFT Filter Banks Using Recursive Digital Filters

  • Dehghani, M.J.;Aravind, R.;Prabhu, K.M.M.
    • ETRI Journal
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    • v.25 no.5
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    • pp.345-355
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    • 2003
  • In this paper, we propose a method for designing a class of M-channel, causal, stable, perfect reconstruction, infinite impulse response (IIR), and parallel uniform discrete Fourier transform (DFT) filter banks. It is based on a previously proposed structure by Martinez et al. [1] for IIR digital filter design for sampling rate reduction. The proposed filter bank has a modular structure and is therefore very well suited for VLSI implementation. Moreover, the current structure is more efficient in terms of computational complexity than the most general IIR DFT filter bank, and this results in a reduced computational complexity by more than 50% in both the critically sampled and oversampled cases. In the polyphase oversampled DFT filter bank case, we get flexible stop-band attenuation, which is also taken care of in the proposed algorithm.

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Impact identification and localization using a sample-force-dictionary - General Theory and its applications to beam structures

  • Ginsberg, Daniel;Fritzen, Claus-Peter
    • Structural Monitoring and Maintenance
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    • v.3 no.3
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    • pp.195-214
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    • 2016
  • Monitoring of impact loads is a very important technique in the field of structural health monitoring (SHM). However, in most cases it is not possible to measure impact events directly, so they need to be reconstructed. Impact load reconstruction refers to the problem of estimating an input to a dynamic system when the system output and the impulse response function are usually known. Generally this leads to a so called ill-posed inverse problem. It is reasonable to use prior knowledge of the force in order to develop more suitable reconstruction strategies and to increase accuracy. An impact event is characterized by a short time duration and a spatial concentration. Moreover the force time history of an impact has a specific shape, which also can be taken into account. In this contribution these properties of the external force are employed to create a sample-force-dictionary and thus to transform the ill-posed problem into a sparse recovery task. The sparse solution is acquired by solving a minimization problem known as basis pursuit denoising (BPDN). The reconstruction approach shown here is capable to estimate simultaneously the magnitude of the impact and the impact location, with a minimum number of accelerometers. The possibility of reconstructing the impact based on a noisy output signal is first demonstrated with simulated measurements of a simple beam structure. Then an experimental investigation of a real beam is performed.

Earthquake response analysis of series reactor

  • Bai, Changqing;Xu, Qingyu;Zhang, Hongyan
    • Structural Engineering and Mechanics
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    • v.21 no.6
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    • pp.621-634
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    • 2005
  • A direct transfer substructure method is presented in this paper for analyzing the dynamic characteristics and the seismic random responses of a series reactor. This method combines the concept of FRF (frequency response function) and the transfer matrix algorithm with the substructure approach. The inner degrees of freedom of each substructure are eliminated in the process of reconstruction and the computation cost is reduced greatly. With the convenient solution procedure, the dynamic characteristics analysis of the structure is valid and efficient. Associated with the pseudo excitation algorithm, the direct transfer substructure method is applied to investigating the seismic random responses of the series reactor. The numerical results demonstrate that the presented method is efficient and practicable in engineering. Finally, a precise time integration method is employed in performing a time-history analysis on the series reactor under El Centro and Taft earthquake waves.

A Study on the Characteristics of Delay Parameter Change in Approximately Reconstruction IIR/FIR QMF Filter Banks (근사 복원 IIR/FIR QMF 필터뱅크에서 지연요소 변화에 따른 특성에 관한 연구)

  • 이상준;김남수;김남호
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.296-299
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    • 2003
  • This paper shows a novel and simple IIR/FIR QMF(quadrature mirror filter) filter banks, mixed IIR and FIR structure. Here, FIR filters used for phase compensation. In this paper, we introduced analysis and synthesis filter banks, which used FIR linear phase filters and all pass filters. In result, phase response of analysis and synthesis filter banks become approximately linear characteristic. Simultaneously, a liasing distortion can be completely canceled.

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