• 제목/요약/키워드: Numerical identification

검색결과 672건 처리시간 0.026초

INVERSE PROBLEM FOR A HEAT EQUATION WITH PIECEWISE-CONSTANT CONDUCTIVITY

  • Gutman, S.;Ramm, A.G.
    • Journal of applied mathematics & informatics
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    • 제28권3_4호
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    • pp.651-661
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    • 2010
  • We consider the inverse problem of the identification of a piecewise-constant conductivity in a bar given the extra information of the heat flux through one end of the bar. Our theoretical results show that such an identification is unique. This approach utilizes a "layer peeling" argument. A computational algorithm based on this method is proposed and implemented. The advantage of this algorithm is that it requires only 3D minimizations irrespective of the number of the unknown discontinuities. Its numerical effectiveness is investigated for several conductivities.

에어제트 직기에 가해지는 가진력 추정 (Indirect force identification of air-jet weaving machine infrequency domain)

  • 정의일;전두환;노석홍
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.238-241
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    • 2006
  • For the effective reduction of structural vibration level it is important to obtain the exciting force components. But, sometimes direct force measurement is infeasible due to the geometric limitation of sensor placement. In this case, indirect force identification becomes useful tool for obtaining input force information. In this paper, indirect force technique was applied to air-jet weaving machine and shows some numerical results.

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다변수 스토캐스틱 선형 계통의 추정에 관한 연구 (On the identification of the multivariable stochastic linear systems)

  • 양흥석;남현도
    • 전기의세계
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    • 제31권5호
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    • pp.361-367
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    • 1982
  • The problem of parameter identification for multivariable stochastic linear systems from output measurements, which are corrupted by noises, is considered. A modified Luenberger's input/output canonical form is used for reducing the number of unknown coefficients. A computationally and conceptionally simple systematic procedure for parameter estimation is obtained using output correlation method. The estimates are shown to be asymptotically normal, unbiased and consistent. Numerical examples are presented to illustrate the identification method.

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트러스의 구조손상추정을 위한 진동모드민감도의 패턴인식 (Pattern Recognition of modal Sensitivity for Structural Damage Identification of Truss Structure)

  • 류연선
    • 한국해양공학회지
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    • 제14권1호
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    • pp.80-87
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    • 2000
  • Despite many combined research efforts outstanding needs exist to develop robust safety-estimation methods for large complex structures. This paper presents a practical damage identification scheme which can be applied to truss structures using only limited modal responses. firstly a theory of pattern recognition (PR) is described. Secondly existing damage-detection algorithms are outlined and a newly-derived algorithms for truss structures. Finally the feasibility of the proposed scheme is evaluated using numerical examples of plane truss structures.

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PARAMETER IDENTIFICATION FOR NONLINEAR VISCOELASTIC ROD USING MINIMAL DATA

  • Kim, Shi-Nuk
    • Journal of applied mathematics & informatics
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    • 제23권1_2호
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    • pp.461-470
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    • 2007
  • Parameter identification is studied in viscoelastic rods by solving an inverse problem numerically. The material properties of the rod, which appear in the constitutive relations, are recovered by optimizing an objective function constructed from reference strain data. The resulting inverse algorithm consists of an optimization algorithm coupled with a corresponding direct algorithm that computes the strain fields given a set of material properties. Numerical results are presented for two model inverse problems; (i)the effect of noise in the reference strain fields (ii) the effect of minimal reference data in space and/or time data.

Wavelet-based automatic identification method of axle distribution information

  • Wang, Ning-Bo;Ren, Wei-Xin;Chen, Zhi-Wei
    • Structural Engineering and Mechanics
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    • 제63권6호
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    • pp.761-769
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    • 2017
  • Accurately extracting the axle distribution information of a passing vehicle from bridge dynamic responses experiences a key and challenging step in non-pavement bridge weigh-in-motion (BWIM). In this article, the wavelet transformation is adopted and the wavelet coefficient curve is used as a substitute for dynamic response. The driving frequency is introduced and expanded to multi-axle vehicle, and the wavelet coefficient curve on specific scale corresponding to the driving frequency is confirmed to contain obvious axle information. On this basis, an automatic method for axle distribution information identification is proposed. The specific wavelet scale can be obtained through iterative computing, and the false peaks due to bridge vibration can be eliminated through cross-correlation analysis of the wavelet coefficients of two measure points. The integrand function that corresponds to the maximum value of the cross-correlation function is used to identify the peaks caused by axles. A numerical application of the proposed axle information identification method is carried out. Numerical results demonstrate that this method acquires precise axle information from the responses of an axle-insensitive structure (e.g., girder) and decreases the requirement of sensitivity structure of BWIM. Finally, an experimental study on a full-scale simply supported bridge is also conducted to verify the effectiveness of this method.

역해석기법을 통한 발파하중 산정 및 수치해석을 이용한 구조물의 진동영향평가 (A Calculation of Blasting Load using Input Identification Method & Evaluation of Structure's Vibration in Numerical Analysis)

  • 최준성;이진무;조만섭
    • 터널과지하공간
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    • 제16권3호
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    • pp.232-240
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    • 2006
  • 본 연구는 실제의 발파현상 및 지반진동을 더욱 정확히 반영할 수 있도록 시험발파에 의한 계측자료와 역해석기법을 사용하여 발파하중을 산정하였다. 실제 계측데이타와 비교를 통해 기존 추정식에 의한 하중에 비해 발파현상 및 지반진동특성을 보다 정확히 반영하는 것을 볼 수 있었으며, 이를 이용한 수치해석을 통해 구조물의 진동영향을 평가하여 타당한 결과를 얻을 수 있었다.

육경변증(六經辨證)을 이용하여 치료한 편두통 환자 치험 1례 (A Case Report of a Migraine Patient Treated with Six-Meridian Pattern Identification (六經辨證))

  • 김영광;문영호
    • 대한한방내과학회지
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    • 제41권6호
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    • pp.1180-1190
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    • 2020
  • The purpose of this case report is to describe the effect of Korean medicine therapy on patient with migraine. We treated migraine for 2 months using a Korean medical treatment and six-meridian pattern identification, including herbal medicine (Soshiho-tang), acupuncture, cupping, chuna, and pharmacopuncture. The measurements included a numerical rating scale (NRS), migraine disability assessment (MIDAS), headache impact test-6 (HIT-6), and migraine specific quality of life questionnaire (MSQoL) to confirm the effectiveness of the herbal medicine treatment. After treatment, the patient's complaints decreased, as shown by the results of the NRS, MIDAS, HIT-6, and MSQoL. For migraines, Korean medical treatment and six-meridian pattern identification, such as herbal medicine (Soshiho-tang), has beneficial effects for the control of migraine and improvement in the quality of life.

A combined spline chirplet transform and local maximum synchrosqueezing technique for structural instantaneous frequency identification

  • Ping-Ping Yuan;Zhou-Jie Zhao;Ya Liu;Zhong-Xiang Shen
    • Smart Structures and Systems
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    • 제33권3호
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    • pp.201-215
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    • 2024
  • Spline chirplet transform and local maximum synchrosqueezing are introduced to present a novel structural instantaneous frequency (IF) identification method named local maximum synchrosqueezing spline chirplet transform (LMSSSCT). Namely spline chirplet transform (SCT), a transform is firstly introduced based on classic chirplet transform and spline interpolated kernel function. Applying SCT in association with local maximum synchrosqueezing, the LMSSSCT is then proposed. The index of accuracy and Rényi entropy show that LMSSSCT outperforms the other time-frequency analysis (TFA) methods in processing analytical signals, especially in the presence of noise. Numerical examples of a Duffing nonlinear system with single degree of freedom and a two-layer shear frame structure with time-varying stiffness are used to verify the effectiveness of structural IF identification. Moreover, a nonlinear supported beam structure test is conducted and the LMSSSCT is utilized for structural IF identification. Numerical simulation and experimental results demonstrate that the presented LMSSSCT can effectively identify the IFs of nonlinear structures and time-varying structures with good accuracy and stability.

Structural modal identification through ensemble empirical modal decomposition

  • Zhang, J.;Yan, R.Q.;Yang, C.Q.
    • Smart Structures and Systems
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    • 제11권1호
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    • pp.123-134
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    • 2013
  • Identifying structural modal parameters, especially those modes within high frequency range, from ambient data is still a challenging problem due to various kinds of uncertainty involved in vibration measurements. A procedure applying an ensemble empirical mode decomposition (EEMD) method is proposed for accurate and robust structural modal identification. In the proposed method, the EEMD process is first implemented to decompose the original ambient data to a set of intrinsic mode functions (IMFs), which are zero-mean time series with energy in narrow frequency bands. Subsequently, a Sub-PolyMAX method is performed in narrow frequency bands by using IMFs as primary data for structural modal identification. The merit of the proposed method is that it performs structural identification in narrow frequency bands (take IMFs as primary data), unlike the traditional method in the whole frequency space (take original measurements as primary data), thus it produces more accurate identification results. A numerical example and a multiple-span continuous steel bridge have been investigated to verify the effectiveness of the proposed method.