• 제목/요약/키워드: Vibration Identification

검색결과 842건 처리시간 0.021초

Design and experimental characterization of a novel passive magnetic levitating platform

  • Alcover-Sanchez, R.;Soria, J.M.;Perez-Aracil, J.;Pereira, E.;Diez-Jimenez, E.
    • Smart Structures and Systems
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    • 제29권3호
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    • pp.499-512
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    • 2022
  • This work proposes a novel contactless vibration damping and thermal isolation tripod platform based on Superconducting Magnetic Levitation (SML). This prototype is suitable for cryogenic environments, where classical passive, semi active and active vibration isolation techniques may present tribological problems due to the low temperatures and/or cannot guarantee an enough thermal isolation. The levitating platform consists of a Superconducting Magnetic Levitation (SML) with inherent passive static stabilization. In addition, the use of Operational Modal Analysis (OMA) technique is proposed to characterize the transmissibility function from the baseplate to the platform. The OMA is based on the Stochastic Subspace Identification (SSI) by using the Expectation Maximization (EM) algorithm. This paper contributes to the use of SSI-EM for SML applications by proposing a step-by-step experimental methodology to process the measured data, which are obtained with different unknown excitations: ambient excitation and impulse excitation. Thus, the performance of SSI-EM for SML applications can be improved, providing a good estimation of the natural frequency and damping ratio without any controlled excitation, which is the main obstacle to use an experimental modal analysis in cryogenic environments. The dynamic response of the 510 g levitating platform has been characterized by means of OMA in a cryogenic, 77 K, and high vacuum, 1E-5 mbar, environment. The measured vertical and radial stiffness are 9872.4 N/m and 21329 N/m, respectively, whilst the measured vertical and radial damping values are 0.5278 Nm/s and 0.8938 Nm/s. The first natural frequency in vertical direction has been identified to be 27.39 Hz, whilst a value of 40.26 Hz was identified for the radial direction. The determined damping values for both modes are 0.46% and 0.53%, respectively.

서해대교 사장교의 동특성 추출 : I. 모드형상 (Modal Parameter Extraction of Seohae Cable-stayed Bridge : I. Mode Shape)

  • 김병화;박민석;이일근
    • 대한토목학회논문집
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    • 제28권5A호
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    • pp.631-639
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    • 2008
  • 본 논문은 서해대교 사장교의 보강형에 대한 고해상도 다점 모드형상을 TDD기법을 이용하여 추출한 사례를 소개한다. 상시진동에 대한 진동시험이 실시되었으며, 총 72개의 센서위치에서 수직방향 가속도 시간응답을 계측할 수 있는 계측 통신망이 구축되었다. 계측된 가속도 시간응답에 대하여 TDD기법을 적용하여 총 24차 수직방향 모드형상이 추출되었다. 추출된 모드형상은 현재 운용중인 상시모니터링 시스템에서는 계측되지 못한 많은 모드들을 포함하고 있다. 장대교량과 같이 대형구조물의 고해상도 모드형상 추출에는 다른 여러 가지 동특성 추출기법보다 TDD기법이 매우 효과적인 것을 확인 할 수 있었다.

A new multi-stage SPSO algorithm for vibration-based structural damage detection

  • Sanjideh, Bahador Adel;Hamzehkolaei, Azadeh Ghadimi;Hosseinzadeh, Ali Zare;Amiri, Gholamreza Ghodrati
    • Structural Engineering and Mechanics
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    • 제84권4호
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    • pp.489-502
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    • 2022
  • This paper is aimed at developing an optimization-based Finite Element model updating approach for structural damage identification and quantification. A modal flexibility-based error function is introduced, which uses modal assurance criterion to formulate the updating problem as an optimization problem. Because of the inexplicit input/output relationship between the candidate solutions and the error function's output, a robust and efficient optimization algorithm should be employed to evaluate the solution domain and find the global extremum with high speed and accuracy. This paper proposes a new multi-stage Selective Particle Swarm Optimization (SPSO) algorithm to solve the optimization problem. The proposed multi-stage strategy not only fixes the premature convergence of the original Particle Swarm Optimization (PSO) algorithm, but also increases the speed of the search stage and reduces the corresponding computational costs, without changing or adding extra terms to the algorithm's formulation. Solving the introduced objective function with the proposed multi-stage SPSO leads to a smart feedback-wise and self-adjusting damage detection method, which can effectively assess the health of the structural systems. The performance and precision of the proposed method are verified and benchmarked against the original PSO and some of its most popular variants, including SPSO, DPSO, APSO, and MSPSO. For this purpose, two numerical examples of complex civil engineering structures under different damage patterns are studied. Comparative studies are also carried out to evaluate the performance of the proposed method in the presence of measurement errors. Moreover, the robustness and accuracy of the method are validated by assessing the health of a six-story shear-type building structure tested on a shake table. The obtained results introduced the proposed method as an effective and robust damage detection method even if the first few vibration modes are utilized to form the objective function.

수정 라플라시안 및 고유주파수를 이용한 보 구조물의 결함탐지기법 (Fault Detection Method for Beam Structure Using Modified Laplacian and Natural Frequencies)

  • 이종원
    • 한국산학기술학회논문지
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    • 제19권5호
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    • pp.611-617
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    • 2018
  • 대형구조물의 효과적인 구조 안전성 확보를 위해서는 결함탐지기술을 포함한 건전성 모니터링의 적용이 필요하다. 본 연구에서는 보 구조물에 발생하는 균열위치와 균열크기를 추정하기 위하여 다음과 같은 2단계의 균열추정방법을 제안한다. 우선, 보 구조물의 분포 국부 변형률 계측결과를 이용하여 변형률 모드형상을 구하고, 이에 대한 수정 라플라시안(Laplacian) 연산을 통하여 균열발생 영역을 추정한다. 이후, 가속도 측정을 통하여 구한 고유주파수와 신경망기법을 이용하여, 미리 추정된 균열발생 영역을 대상으로 균열위치와 균열크기를 추정한다. 이때, 신경망을 훈련시키기 위하여, 에너지법에 의해 유도된 균열보의 등가휨강성을 이용하여 균열보의 고유주파수를 해석적으로 구한다. 기법을 검증하기 위하여 알루미늄 캔틸레버 보에 대한 손상실험을 수행하였다. 인위적으로 실험체에 균열을 가한 후 자유진동실험을 수행하여 동적 변형률과 가속도를 계측하고 이를 이용하여 변형률 모드형상과 고유주파수를 구하였다. 변형률 모드형상에 대한 수정 라플라시안 연산을 통하여 균열발생 영역을 추정하고, 고유주파수와 신경망기법을 이용하여, 미리 추정된 균열발생 영역에 대하여 균열위치와 균열크기를 판정하였다. 3가지 손상경우에 대한 균열발생 영역의 추정결과는 실제 영역과 잘 일치하였으며, 균열위치와 균열크기 추정결과의 정확성을 상당히 향상시킬 수 있었다. 제안된 기법은 장대구조물에 대한 구조물 건전성 모니터링에 효과적으로 활용될 수 있을 것으로 판단된다.

구조물의 손상크기에 따른 시간영역에서의 손상검출 (Damage Detection in Time Domain on Structural Damage Size)

  • 권대규;유계형;이성철
    • 한국정밀공학회지
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    • 제23권6호
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    • pp.119-127
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    • 2006
  • A non-destructive time domain approach to examine structural damage using parameterized partial differential equations and Galerkin approximation techniques is presented. The time domain analysis for damage detection is independent of modal parameters and analytical models unlike frequency domain methods which generally rely on analytical models. The time history of the vibration response of the structure was used to identify the presence of damage. Damage in a structure causes changes in the physical coefficients of mass density, elastic modulus and damping coefficients. This is a part of our ongoing effort on the general problem of modeling and parameter estimation for internal damping mechanisms in a composite beam. Namely, in detecting damage through time-domain or frequency-domain data from smart sensors, the common damages are changed in modal properties such as natural frequencies, mode shapes, and mode shape curvature. This paper examines the use of beam-like structures with piezoceramic sensors and actuators to perform identification of those physical parameters, and detect the damage. Experimental results are presented from tests on cantilevered composite beams damaged at different locations and different dimensions. It is demonstrated that the method can sense the presence of damage and obtain the position of a damage.

밀링가공에서의 커더 런 아웃량 검출에 관한 연구 (A Study on the Detection of Cutter Runout Magnitude in Milling)

  • 황준;정의식;이기용;신승춘;남궁석
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 추계학술대회 논문집
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    • pp.151-156
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    • 1995
  • This paper presents a methodology for real-time detecting and identifying the runout geometry of an end mill. Cutter runout is a common but undesirable phenomenon in multi-tooth machining such as end-milling process because it introduces variable chip loading to insert which results in a accelerated tool wear,amplification of force variation and hence enlargement vibration amplitude. Form understanding of chip load change kinematics, the analytical sutting force model was formulated as the angular domain convolution of three dynamic cutting force component functions. By virtue of the convolution integration property, the frequency domain expression of the total cutting forces can be given as the algebraic multiplication of the Fourier transforms of the local cutting forces and the chip width density of the cutter. Experimental study are presented to validata the analytical model. This study provides the in-process monitoring and compensation of dynamic cutter runout to improve machining tolerance tolerance and surface quality for industriql application.

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DC 모터계의 소음 품질관리를 위한 시간-주파수 분석의 적용 (Application of Time-Frequency Analysis as a Tool for Noise Quality Control of DC Motor Systems)

  • 임상규;최창환
    • 소음진동
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    • 제9권4호
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    • pp.841-848
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    • 1999
  • 직류 모터의 생산 공정품질 확인 작업에 있어서 전체 소음레벨이 합격점에 이른다 할지라도 관능 평가시의 이음으로 인해 불량판정을 받게되는 경우가 있다. 이런 종류의 문제는 가공 또는 조립 공정상에서 발생될수 있는데 본 눈문에서는 과도기적 스펙트럴 분석 혹은 시간-주파수 분석 기법을 소음품질 문제에 적용해 보았다.Case Study로써 윈드쉴드 와이퍼 모터의 이음 발생원이 상세 분석되었으며, 결과적으로 정상적인 주파수 분석에서 발견되지 않았던 아마추어 축의 불량이 충격소음을 일으킨것으로 밝혀졌다. 이를 통해 회전체-기어 시스템의 이음 원인규명을 위한 시간-주파수 분석 기법의 효과적 활용이 잘 나타났다.

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Examination of experimental errors in Scanlan derivatives of a closed-box bridge deck

  • Rizzo, Fabio;Caracoglia, Luca
    • Wind and Structures
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    • 제26권4호
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    • pp.231-251
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    • 2018
  • The objective of the investigation is the analysis of wind-tunnel experimental errors, associated with the measurement of aeroelastic coefficients of bridge decks (Scanlan flutter derivatives). A two-degree-of-freedom experimental apparatus is used for the measurement of flutter derivatives. A section model of a closed-box bridge deck is considered in this investigation. Identification is based on free-vibration aeroelastic tests and the Iterative Least Squares method. Experimental error investigation is carried out by repeating the measurements and acquisitions thirty times for each wind tunnel speed and configuration of the model. This operational procedure is proposed for analyzing the experimental variability of flutter derivatives. Several statistical quantities are examined; these quantities include the standard deviation and the empirical probability density function of the flutter derivatives at each wind speed. Moreover, the critical flutter speed of the setup is evaluated according to standard flutter theory by accounting for experimental variability. Since the probability distribution of flutter derivatives and critical flutter speed does not seem to obey a standard theoretical model, polynomial chaos expansion is proposed and used to represent the experimental variability.

Variability analysis on modal parameters of Runyang Bridge during Typhoon Masta

  • Mao, Jian-Xiao;Wang, Hao;Xun, Zhi-Xiang;Zou, Zhong-Qin
    • Smart Structures and Systems
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    • 제19권6호
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    • pp.653-663
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    • 2017
  • The modal parameters of the deck of Runyang Suspension Bridge (RSB) as well as their relationships with wind and temperature are studied based on the data recorded by its Structural Health Monitoring System (SHMS). Firstly, frequency analysis on the vertical responses at the two sides of the deck is carried out to distinguish the vertical and torsional vibration modes. Then, the vertical, torsional and lateral modal parameters of the deck of RSB are identified using Hilbert-Huang Transform (HHT) and validated by the identified results before RSB was opened to traffic. On the basis of this, the modal frequencies and damping ratios of RSB during the whole process of Typhoon Masta are obtained. And the correlation analysis on the modal parameters and wind environmental factors is then conducted. Results show that the HHT can achieve an accurate modal identification of RSB and the damping ratios show an obvious decay trend as the frequencies increase. Besides, compared to frequencies, the damping ratios are more sensitive to the environmental factors, in particular, the wind speed. Further study on configuring the variation law of modal parameters related with environmental factors should be continued.

Long-Term Monitoring and Analysis of a Curved Concrete Box-Girder Bridge

  • Lee, Sung-Chil;Feng, Maria Q.;Hong, Seok-Hee;Chung, Young-Soo
    • International Journal of Concrete Structures and Materials
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    • 제2권2호
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    • pp.91-98
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    • 2008
  • Curved bridges are important components of a highway transportation network for connecting local roads and highways, but very few data have been collected in terms of their field performance. This paper presents two-years monitoring and system identification results of a curved concrete box-girder bridge, the West St. On-Ramp, under ambient traffic excitations. The authors permanently installed accelerometers on the bridge from the beginning of the bridge life. From the ambient vibration data sets collected over the two years, the element stiffness correction factors for the columns, the girder, and boundary springs were identified using the back-propagation neural network. The results showed that the element stiffness values were nearly 10% different from the initial design values. It was also observed that the traffic conditions heavily influence the dynamic characteristics of this curved bridge. Furthermore, a probability distribution model of the element stiffness was established for long-term monitoring and analysis of the bridge stiffness change.