• 제목/요약/키워드: spectral analysis

검색결과 2,971건 처리시간 0.028초

Probabilistic analysis of spectral displacement by NSA and NDA

  • Devandiran, P.;Kamatchi, P.;Rao, K. Balaji;Ravisankar, K.;Iyer, Nagesh R.
    • Earthquakes and Structures
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    • 제5권4호
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    • pp.439-459
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    • 2013
  • Main objective of the present study is to determine the statistical properties and suitable probability distribution functions of spectral displacements from nonlinear static and nonlinear dynamic analysis within the frame work of Monte Carlo simulation for typical low rise and high rise RC framed buildings located in zone III and zone V and designed as per Indian seismic codes. Probabilistic analysis of spectral displacement is useful for strength assessment and loss estimation. To the author's knowledge, no study is reported in literature on comparison of spectral displacement including the uncertainties in capacity and demand in Indian context. In the present study, uncertainties in capacity of the building is modeled by choosing cross sectional dimensions of beams and columns, density and compressive strength of concrete, yield strength and elastic modulus of steel and, live load as random variables. Uncertainty in demand is modeled by choosing peak ground acceleration (PGA) as a random variable. Nonlinear static analysis (NSA) and nonlinear dynamic analysis (NDA) are carried out for typical low rise and high rise reinforced concrete framed buildings using IDARC 2D computer program with the random sample input parameters. Statistical properties are obtained for spectral displacements corresponding to performance point from NSA and maximum absolute roof displacement from NDA and suitable probability distribution functions viz., normal, Weibull, lognormal are examined for goodness-of-fit. From the hypothesis test for goodness-of-fit, lognormal function is found to be suitable to represent the statistical variation of spectral displacement obtained from NSA and NDA.

다차원 스펙트럼 해석 에 의한 가솔린 엔진 의 진동원 검출 에 관한 연구 (A Study on the Identification of Vibration Sources of a Gasoline Engine by Multi-Dimensional Spectral Analysis)

  • 강명순;오재응;서상현
    • 대한기계학회논문집
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    • 제9권6호
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    • pp.691-698
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    • 1985
  • 본 논문에서는 종래의 FRF법을 이용하였을때의 문제점을 보완하고 계의 정확 한 진동원을 파악하기 위하여 진동원 간에 강한 상관관계가 존재하는 경우에 사용되는 다차원 스펙트럼해석(Multi-Dimensional Spectral Analysis` MDSA)법을 가솔린엔진에 적용 검토하였다.

Cherstenson 함수를 이용한 MVL 회로의 스펙트럴 분석에 관한 연구 (A Study on the Spectral Anlaysis of Multiple Valued Logic Circuits using Chrestenson Function)

  • 김종오;신평호
    • 전자공학회논문지T
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    • 제36T권1호
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    • pp.32-40
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    • 1999
  • 함수영역의 데이터를 스펙트럴영역 데이터로 변환시켜주는 스펙트럴 계수를 통해 논리함수의 분석을 할 수 있다. 본 논문에서는 스펙트럴 기술을 통해 MVL 회로에 대해 분석을 수행하였고, MVL회로의 고장분석 및 검출방법을 제안하였다.

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A natural frequency sensitivity-based stabilization in spectral stochastic finite element method for frequency response analysis

  • Lee, Gil-Yong;Jin, Seung-Seop;Park, Yong-Hwa
    • Structural Engineering and Mechanics
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    • 제75권3호
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    • pp.311-325
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    • 2020
  • In applying the spectral stochastic finite element methods to the frequency response analysis, the conventional methods are known to give unstable and inaccurate results near the natural frequencies. To address this issue, a new sensitivity based stabilized formulation for stochastic frequency response analysis is proposed in this paper. The main difference over the conventional spectral methods is that the polynomials of random variables are applied to both numerator and denominator in approximating the harmonic response solution. In order to reflect the resonance behavior of the structure, the denominator polynomials is constructed by utilizing the natural frequency sensitivity and the random mode superposition. The numerator is approximated by applying a polynomial chaos expansion, and its coefficients are obtained through the Galerkin or the spectral projection method. Through various numerical studies, it is seen that the proposed method improves accuracy, especially in the vicinities of structural natural frequencies compared to conventional spectral methods.

Pattern Recognition of Human Grasping Operations Based on EEG

  • Zhang Xiao Dong;Choi Hyouk-Ryeol
    • International Journal of Control, Automation, and Systems
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    • 제4권5호
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    • pp.592-600
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    • 2006
  • The pattern recognition of the complicated grasping operation based on electroencephalography (simply named as EEG) is very helpful on realtime control of the robotic hand. In the paper, a new spectral feature analysis method based on Band Pass Filter (simply named as BPF) and Power Spectral Analysis (simply named as PSA) is presented for discriminating the complicated grasping operations. By analyzing the spectral features of grasping operations with the use of the two-channel EEG measurement system and the pattern recognition of the BP neural network, the degree of recognition by the traditional spectral feature method based on FFT and the new spectral features method based on BPF and PSA could be compared. The results show that the proposed method provides highly improved performance than the traditional one because the new method has two obvious advantages such as high recognition capability and the fast learning speed.

Matrix-based Chebyshev spectral approach to dynamic analysis of non-uniform Timoshenko beams

  • Wang, W.Y.;Liao, J.Y.;Hourng, L.W.
    • Structural Engineering and Mechanics
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    • 제39권5호
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    • pp.669-682
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    • 2011
  • A Chebyshev spectral method (CSM) for the dynamic analysis of non-uniform Timoshenko beams under various boundary conditions and concentrated masses at their ends is proposed. The matrix-based Chebyshev spectral approach was used to construct the spectral differentiation matrix of the governing differential operator and its boundary conditions. A matrix condensation approach is crucially presented to impose boundary conditions involving the homogeneous Cauchy conditions and boundary conditions containing eigenvalues. By taking advantage of the standard powerful algorithms for solving matrix eigenvalue and generalized eigenvalue problems that are embodied in the MATLAB commands, chebfun and eigs, the modal parameters of non-uniform Timoshenko beams under various boundary conditions can be obtained from the eigensolutions of the corresponding linear differential operators. Some numerical examples are presented to compare the results herein with those obtained elsewhere, and to illustrate the accuracy and effectiveness of this method.

스펙트럴 요소 모델을 이용한 스펙트럴 해석법 (A SPECTRAL ANALYSIS METHOD FOR SPECTRAL ELEMENT MODELS)

  • 조주용;윤덕기;황인선;이우식
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.409-414
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    • 2005
  • In the literatures, the FFT-based SAM has been well applied to the computation of the steady-state responses of discrete dynamic systems. In this paper, a fast fourier transforms (FFT)-based spectral analysis method (SAM) is proposed fur the dynamic analysis of spectral element models subjected to the non-zero initial conditions. However, the FFT-based SAM has not yet been developed for the continuous systems represented by the spectral element model.

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기상 영상기의 적외선 채널 분광 응답 규격에 대한 분석 (Analysis of Spectral Response Specification for the Infrared Channels of Meteorological Imager)

  • 조영민
    • 항공우주기술
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    • 제6권2호
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    • pp.104-110
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    • 2007
  • GOES 계열 정지궤도 위성 기상 영상기의 적외선 채널에 사용되는 분광 응답 성능 규격을 분석하였다. 성능 규격 범위 내에서 분광 응답 함수 모양 변화에 따른 유효 중심 파장(Effective Wavelength)과 유효 입력광 Radiance (Effective Input Radiance)의 변동 특성을 분석함으로써 분광 응답 규격 해석 방법을 제시하였다. 구체적 분석 방법으로서 먼저 분광 응답 규격 범위 내에서 중앙 대칭 분광 응답 함수와 함께 최악 경우에 해당하는 4 가지 대표적인 분광 응답 함수들을 선택하고, 각 분광 응답 함수에 대해 적외선 채널의 유효 중심 파장과 유효 입력광 Radiance를 구하였다. 결론으로서 성능 규격의 범위 내에서 허용되는 유효 중심 파장과 유효 입력광 Radiance의 최대 변동 범위를 제시하였다.

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Robust Similarity Measure for Spectral Clustering Based on Shared Neighbors

  • Ye, Xiucai;Sakurai, Tetsuya
    • ETRI Journal
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    • 제38권3호
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    • pp.540-550
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    • 2016
  • Spectral clustering is a powerful tool for exploratory data analysis. Many existing spectral clustering algorithms typically measure the similarity by using a Gaussian kernel function or an undirected k-nearest neighbor (kNN) graph, which cannot reveal the real clusters when the data are not well separated. In this paper, to improve the spectral clustering, we consider a robust similarity measure based on the shared nearest neighbors in a directed kNN graph. We propose two novel algorithms for spectral clustering: one based on the number of shared nearest neighbors, and one based on their closeness. The proposed algorithms are able to explore the underlying similarity relationships between data points, and are robust to datasets that are not well separated. Moreover, the proposed algorithms have only one parameter, k. We evaluated the proposed algorithms using synthetic and real-world datasets. The experimental results demonstrate that the proposed algorithms not only achieve a good level of performance, they also outperform the traditional spectral clustering algorithms.

스펙트럴유한요소법을 이용한 네 변이 단순지지 된 직사각형평판의 진동해석 (Analysis of Simply Supported Rectangular Plate Using Spectral Finite Element Method)

  • 주경림;홍석윤;송지훈;김동진
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계 학술대회논문집(수송기계편)
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    • pp.85-89
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    • 2005
  • For the analysis of a vibrating two dimensional structure such as the simply supported rectangular plate, Spectral Finite Element Method (SFEM) has been studied. Under the condition that two parallel edges are simply supported at least and the other two edges can be arbitrary, Spectral Finite Element has been developed. Using this element SFEM is applied to the vibrating rectangular plate which all edges are simply supported, and obtain the frequency response function in frequency domain and the dynamic response in time domain. To evaluate these results normal mode method and finite element method (FEM) are also accomplished and compared. It is seen that SFEM is more powerful analysis tool than FEM in high frequency range.

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