• 제목/요약/키워드: Piezoelectric smart structures

검색결과 258건 처리시간 0.019초

Nonlinear vibration analysis of MSGT boron-nitride micro ribbon based mass sensor using DQEM

  • Mohammadimehr, M.;Monajemi, Ahmad A.
    • Smart Structures and Systems
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    • 제18권5호
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    • pp.1029-1062
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    • 2016
  • In this research, the nonlinear free vibration analysis of boron-nitride micro ribbon (BNMR) on the Pasternak elastic foundation under electrical, mechanical and thermal loadings using modified strain gradient theory (MSGT) is studied. Employing the von $K{\acute{a}}rm{\acute{a}}n$ nonlinear geometry theory, the nonlinear equations of motion for the graphene micro ribbon (GMR) using Euler-Bernoulli beam model with considering attached mass and size effects based on Hamilton's principle is obtained. These equations are converted into the nonlinear ordinary differential equations by elimination of the time variable using Kantorovich time-averaging method. To determine nonlinear frequency of GMR under various boundary conditions, and considering mass effect, differential quadrature element method (DQEM) is used. Based on modified strain MSGT, the results of the current model are compared with the obtained results by classical and modified couple stress theories (CT and MCST). Furthermore, the effect of various parameters such as material length scale parameter, attached mass, temperature change, piezoelectric coefficient, two parameters of elastic foundations on the natural frequencies of BNMR is investigated. The results show that for all boundary conditions, by increasing the mass intensity in a fixed position, the linear and nonlinear natural frequency of the GMR reduces. In addition, with increasing of material length scale parameter, the frequency ratio decreases. This results can be used to design and control nano/micro devices and nano electronics to avoid resonance phenomenon.

Nonlinear modelling and analysis of thin piezoelectric plates: Buckling and post-buckling behaviour

  • Krommer, Michael;Vetyukova, Yury;Staudigl, Elisabeth
    • Smart Structures and Systems
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    • 제18권1호
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    • pp.155-181
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    • 2016
  • In the present paper we discuss the stability and the post-buckling behaviour of thin piezoelastic plates. The first part of the paper is concerned with the modelling of such plates. We discuss the constitutive modelling, starting with the three-dimensional constitutive relations within Voigt's linearized theory of piezoelasticity. Assuming a plane state of stress and a linear distribution of the strains with respect to the thickness of the thin plate, two-dimensional constitutive relations are obtained. The specific form of the linear thickness distribution of the strain is first derived within a fully geometrically nonlinear formulation, for which a Finite Element implementation is introduced. Then, a simplified theory based on the von Karman and Tsien kinematic assumption and the Berger approximation is introduced for simply supported plates with polygonal planform. The governing equations of this theory are solved using a Galerkin procedure and cast into a non-dimensional formulation. In the second part of the paper we discuss the stability and the post-buckling behaviour for single term and multi term solutions of the non-dimensional equations. Finally, numerical results are presented using the Finite Element implementation for the fully geometrically nonlinear theory. The results from the simplified von Karman and Tsien theory are then verified by a comparison with the numerical solutions.

An experimental procedure for evaluating the consolidation state of marine clay deposits using shear wave velocity

  • Chang, Ilhan;Kwon, Tae-Hyuk;Cho, Gye-Chun
    • Smart Structures and Systems
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    • 제7권4호
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    • pp.289-302
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    • 2011
  • In marine clay deposits, naturally formed or artificially reclaimed, the evaluation and monitoring of the consolidation process has been a critical issue in civil engineering practices due to the time frame required for completing the consolidation process, which range from several days to several years. While complementing the conventional iconographic method suggested by Casagrande and recently developed in-situ techniques that measure the shear wave, this study suggests an alternative experimental procedure that can be used to evaluate the consolidation state of marine clay deposits using the shear wave velocity. A laboratory consolidation testing apparatus was implemented with bimorph-type piezoelectric bender elements to determine the effective stress-shear wave velocity (${\sigma}^{\prime}-V_s$) relationship with the marine clays of interest. The in-situ consolidation state was then evaluated by comparing the in-situ shear wave velocity data with the effective stress-shear wave velocity relationships obtained from laboratory experiments. The suggested methodology was applied and verified at three different sites in South Korea, i.e., a foreshore site in Incheon, a submarine deposit in Busan, and an estuary delta deposit in Busan. It is found that the shear wave-based experimental procedure presented in this paper can be effectively and reliably used to evaluate the consolidation state of marine clay deposits.

Nonlinear structural model updating based on the Deep Belief Network

  • Mo, Ye;Wang, Zuo-Cai;Chen, Genda;Ding, Ya-Jie;Ge, Bi
    • Smart Structures and Systems
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    • 제29권5호
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    • pp.729-746
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    • 2022
  • In this paper, a nonlinear structural model updating methodology based on the Deep Belief Network (DBN) is proposed. Firstly, the instantaneous parameters of the vibration responses are obtained by the discrete analytical mode decomposition (DAMD) method and the Hilbert transform (HT). The instantaneous parameters are regarded as the independent variables, and the nonlinear model parameters are considered as the dependent variables. Then the DBN is utilized for approximating the nonlinear mapping relationship between them. At last, the instantaneous parameters of the measured vibration responses are fed into the well-trained DBN. Owing to the strong learning and generalization abilities of the DBN, the updated nonlinear model parameters can be directly estimated. Two nonlinear shear-type structure models under two types of excitation and various noise levels are adopted as numerical simulations to validate the effectiveness of the proposed approach. The nonlinear properties of the structure model are simulated via the hysteretic parameters of a Bouc-Wen model and a Giuffré-Menegotto-Pinto model, respectively. Besides, the proposed approach is verified by a three-story shear-type frame with a piezoelectric friction damper (PFD). Simulated and experimental results suggest that the nonlinear model updating approach has high computational efficiency and precision.

Energy harvesting techniques for health monitoring and indicators for control of a damaged pipe structure

  • Cahill, Paul;Pakrashi, Vikram;Sun, Peng;Mathewson, Alan;Nagarajaiah, Satish
    • Smart Structures and Systems
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    • 제21권3호
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    • pp.287-303
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    • 2018
  • Applications of energy harvesting from mechanical vibrations is becoming popular but the full potential of such applications is yet to be explored. This paper addresses this issue by considering an application of energy harvesting for the dual objective of serving as an indicator of structural health monitoring (SHM) and extent of control. Variation of harvested energy from an undamaged baseline is employed for this purpose and the concept is illustrated by implementing it for active vibrations of a pipe structure. Theoretical and experimental analyses are carried out to determine the energy harvesting potential from undamaged and damaged conditions. The use of energy harvesting as indicator for control is subsequently investigated, considering the effect of the introduction of a tuned mass damper (TMD). It is found that energy harvesting can be used for the detection and monitoring of the location and magnitude of damage occurring within a pipe structure. Additionally, the harvested energy acts as an indicator of the extent of reduction of vibration of pipes when a TMD is attached. This paper extends the range of applications of energy harvesting devices for the monitoring of built infrastructure and illustrates the vast potential of energy harvesters as smart sensors.

센서-구조 일체형 복합재료 구조물 제작 방법 (Manufacturing Method for Sensor-Structure Integrated Composite Structure)

  • 한대현;강래형
    • Composites Research
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    • 제28권4호
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    • pp.155-161
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    • 2015
  • 본 연구는 복합재료 구조물에 전기-기계 변환 기능을 융합한 센서-구조 일체형 복합재료 구조물 제작 방법에 관한 것으로 복합재료 구조물 자체가 센서 역할을 수행할 수 있도록 하여 구조 스스로 충격이나 진동 신호를 감지하고 손상 위치 또는 손상 정도를 실시간으로 모니터링 할 수 있는 다기능 복합 구조물에 관한 연구이다. 복합재 구조물에 전기-기계 변환 기능을 부여하기 위해 복합재 제작에 사용되는 에폭시 수지 대신 전기-기계 변환기능을 갖는 $Pb(Ni_{1/3}Nb_{2/3})O_3-Pb(Zr,\;Ti)O_2$ (PNN-PZT) 분말과 에폭시 수지를 1:30 wt% 혼합하여 제작된 스마트 수지를 사용하였다. Hand Lay-up 공법과, VARTM(Vacuum Assisted Resin Transfer Molding) 성형 방법을 이용하여 유리섬유에 스마트 수지를 함침시켜 센서-구조 일체형 복합재료 구조물을 제작하였다. 구조물을 센서로 사용하기위해 시편의 윗면과 아랫면에 전도성 도료를 사용하여 전극을 제작하였고, 고전압 앰프를 이용하여 상온에서 30분간 4kV/mm의 전계로 분극 처리를 수행하였다. 이후 충격망치를 사용하여 시편에 충격을 가했을 때 출력되는 전기 신호와 충격망치 신호를 비교하여 충격 신호 감응 및 감도를 측정하고 그 결과를 기술하였다.

압전 복합재료 작동기 LIPCA와 단일 PZT의 보 진동 제어 성능 비교 (Actuation Performance of LIPCA and bare PZT at Active Vibration Control of a Cantilever Beam)

  • 아리프 수하리요노;구남서;박훈철;이영재;윤광준
    • 한국항공우주학회지
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    • 제34권3호
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    • pp.60-66
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    • 2006
  • 본 논문에서는 기존에 개발한 압전 복합재료 작동기인 LIPCA가 동적 구조물의 작동기로 적용 가능한지를 평가하였다. 압전 세라믹 층, 탄소/에폭시 층 및 유리/에폭시 층으로 이루어진 LIPCA 작동기는 단일 PZT에 비하여 성능 및 내구성이 크다는 장점이 있다. 성능 평가를 위하여 정적 작동력 실험과 진동 제어 실험을 수행하였다. 알루미늄 보의 한 쪽 면에 LIPCA와 단일 PZT를 각각 보에 부착하고 반대쪽 면에는 변형률 게이지를 부착하였다. 먼저 정적 작동력 실험에서는 작동 전압에 따른 변형률 신호를 등가 작동 모멘트로 환산하여 크기를 비교함으로써 성능을 평가하였다. 진동 제어 실험에서는 스트레인 게이지의 변형률 신호를 PID 제어 알고리듬을 사용하여 보의 자유 진동을 억제하도록 제어 신호를 생성하였다. 진동 신호가 감쇠하는 정도를 나타내는 안정화 시간을 비교함으로써 성능을 평가하였다. 실험 결과 LIPCA가 정적 작동 뿐 아니라 자유 진동 제어에서도 단일 PZT보다 성능이 우수함을 확인하였다.

Sparse reconstruction of guided wavefield from limited measurements using compressed sensing

  • Qiao, Baijie;Mao, Zhu;Sun, Hao;Chen, Songmao;Chen, Xuefeng
    • Smart Structures and Systems
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    • 제25권3호
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    • pp.369-384
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    • 2020
  • A wavefield sparse reconstruction technique based on compressed sensing is developed in this work to dramatically reduce the number of measurements. Firstly, a severely underdetermined representation of guided wavefield at a snapshot is established in the spatial domain. Secondly, an optimal compressed sensing model of guided wavefield sparse reconstruction is established based on l1-norm penalty, where a suite of discrete cosine functions is selected as the dictionary to promote the sparsity. The regular, random and jittered undersampling schemes are compared and selected as the undersampling matrix of compressed sensing. Thirdly, a gradient projection method is employed to solve the compressed sensing model of wavefield sparse reconstruction from highly incomplete measurements. Finally, experiments with different excitation frequencies are conducted on an aluminum plate to verify the effectiveness of the proposed sparse reconstruction method, where a scanning laser Doppler vibrometer as the true benchmark is used to measure the original wavefield in a given inspection region. Experiments demonstrate that the missing wavefield data can be accurately reconstructed from less than 12% of the original measurements; The reconstruction accuracy of the jittered undersampling scheme is slightly higher than that of the random undersampling scheme in high probability, but the regular undersampling scheme fails to reconstruct the wavefield image; A quantified mapping relationship between the sparsity ratio and the recovery error over a special interval is established with respect to statistical modeling and analysis.