• 제목/요약/키워드: Inverse Analysis Method

검색결과 778건 처리시간 0.026초

A Motion Analysis of FPSO in Irregular Waves including Swells

  • Kwak Hyun U.;Choi Hang S.;Shin Hyun S.
    • Journal of Ship and Ocean Technology
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    • 제9권2호
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    • pp.21-28
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    • 2005
  • Recently moored offshore vessels like as FPSO(Floating Production Storage Offloading) are frequently deployed in seas for a long time. For successful operation, the motion behavior of such a vessel in waves must be clarified in advance either theoretically or experimentally. It is of particular interest to examine the behavior, when swells are superposed to seas with different incident angle. Such a situation is actually reported in some offshore oilfield. In this paper, the motion of a FPSO in irregular waves including swells is studied in time domain. Hydrodynamic coefficients and wave forces are calculated in frequency domain using three-dimensional singularity distribution method. Time memory function and added mass at infinite frequency are derived by Fourier transform utilizing hydrodynamic damping coefficients. In the process, the numerical accuracy of added mass at infinite frequency is carefully examined in association with free decay simulations. It is found from numerical simulations that swells significantly affect the vertical motion of FPSO mainly because of their longer period compared to the ordinary sea waves. In particular, the roll motion is largely amplified because the dominant period of swell is closer to the roll natural period than that of seas.

대규모 전력계통의 미소신호 안정도 해석을 위한 Hessenberg Process의 수렴특성 가속화 방법 (A Method to Accelerate Convergence of Hessenberg process for Small Signal Stability Analysis of Large Scale Power Systems)

  • 송성근;남해곤;심관식;문채주;김용구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 C
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    • pp.871-874
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    • 1998
  • It is most important in small signal stability analysis of large scale power systems to compute only the dominant eigenvalues selectively with numerical stability and efficiency. Hessenberg process is numerically very stable and identifies the largest eigenvalues in magnitude. Hence, transformed system matrix must be used with the process. Inverse transformation with complex shift provides high selectivity centered on the shift, but does not possess the desired property of computing the dominant mode first. Thus, advantage of high selectivity of the transformation can be fully utilized only when the complex shift is given close to the dominant eigenvalues. In this paper, complex shift is determined by Fourier transforming the results of dynamic simulation with PTI's PSS/E transient simulation program. The convergence in Hessenberg process is accelerated using the iterative scheme. Overall, a numerically stable and very efficient small signal stability program is obtained. The stability and efficiency of the program has been validated against New England 10-machines 39-bus system and KEPCO system.

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골프 스윙시 하지의 운동역학적 분석 (Kinetic Analysis of the Lower Body Joints on Golf Swing)

  • 장재관;류재균
    • 한국운동역학회지
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    • 제24권4호
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    • pp.339-347
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    • 2014
  • The purpose of this study was to investigate joint torques of lower body segments on professional golfers. Three dimensional swing analysis was conducted on the seven subjects. Each subject was asked to swing with 45 inches of Callaway driver, where two force plates (9286AA, Kistler, Switzerland) were built, with his normal speed and tempo. The resultant joint moments of the lower extremities were computed using the kinematic variables of the segments, anthropometric measures and the ground reaction force data by inverse dynamics method. Based on the results of this study, the following conclusions were drawn; It was found that the left ankle joint torque at 3rd phase was increased toward extension on the X-axis and abduction on the Y-axis. The left knee joint torque was alternated from flexion to extension direction in order to lower down the body weight at the beginning of the downswing. The lumbar joint torque was alternated from flexion to extension in order to speed up the upper body rotation which could increase the club head speed ultimately.

빅데이터 분석을 활용한 우리나라 패션 스타트업 생태계의 추세 연구 - 2012~2022년 신문기사를 중심으로 - (A Study on Fashion Startup Ecosystem Trends in Korea Using Big Data Analysis - Focusing on Newspaper Articles in 2012-2022 -)

  • 임수정;황선진
    • 패션비즈니스
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    • 제27권1호
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    • pp.1-15
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    • 2023
  • This study divided articles into two time periods, from 2012 to 2022, with the aim of using big data analysis to look at patterns in the ecosystem of fashion start-ups. The research method extracted top keywords based on TF(Term Frequency) and TF-IDF(Term Frequency-Inverse Document Frequency), analyzed the network, and derived centrality values. As a result of comparing the first and second fashion startup ecosystems, elements of policy, support, market, finance, and human capital were derived in the first period. In addition, in the second period, elements of policy, support, market, finance, and culture were derived. In the first period, the fashion startup ecosystem focused on fostering new designer startups by emphasizing support, finance, and human capital factors and focusing on policies. Meanwhile, in the second period, online-based fashion platform startups and fashion tech startups appeared with the support of digital transformation and fulfillment services triggered by COVID-19(Corona Virus Disease 19), private finances were emphasized, and cultural factors were derived along with success stories of fashion startups. This study is meaningful in that it helps in developing strategies for fashion startups to grow into sustainable companies.

Characterization of the Purified Ca-type Bentonil-WRK Montmorillonite and Its Sorption Thermodynamics With Cs(I) and Sr(II)

  • Seonggyu Choi;Bong-Ju Kim;Surin Seo;Jae-Kwang Lee;Jang-Soon Kwon
    • 방사성폐기물학회지
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    • 제21권4호
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    • pp.427-438
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    • 2023
  • Thermodynamic sorption modeling can enhance confidence in assessing and demonstrating the radionuclide sorption phenomena onto various mineral adsorbents. In this work, Ca-montmorillonite was successfully purified from Bentonil-WRK bentonite by performing the sequential physical and chemical treatments, and its geochemical properties were characterized using X-ray diffraction, Brunauer-Emmett-Teller analysis, cesium-saturation method, and controlled continuous acid-base titration. Further, batch experiments were conducted to evaluate the adsorption properties of Cs(I) and Sr(II) onto the homoionic Ca-montmorillonite under ambient conditions, and the diffuse double layer model-based inverse analysis of sorption data was performed to establish the relevant surface reaction models and obtain corresponding thermodynamic constants. Two types of surface reactions were identified as responsible for the sorption of Cs(I) and Sr(II) onto Ca-montmorillonite: cation exchange at interlayer site and complexation with edge silanol functionality. The thermodynamic sorption modeling provides acceptable representations of the experimental data, and the species distributions calculated using the resulting reaction constants accounts for the predominance of cation exchange mechanism of Cs(I) and Sr(II) under the ambient aqueous conditions. The surface complexation of cationic fission products with silanol group slightly facilitates their sorption at pH > 8.

DR-LSTM: Dimension reduction based deep learning approach to predict stock price

  • Ah-ram Lee;Jae Youn Ahn;Ji Eun Choi;Kyongwon Kim
    • Communications for Statistical Applications and Methods
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    • 제31권2호
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    • pp.213-234
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    • 2024
  • In recent decades, increasing research attention has been directed toward predicting the price of stocks in financial markets using deep learning methods. For instance, recurrent neural network (RNN) is known to be competitive for datasets with time-series data. Long short term memory (LSTM) further improves RNN by providing an alternative approach to the gradient loss problem. LSTM has its own advantage in predictive accuracy by retaining memory for a longer time. In this paper, we combine both supervised and unsupervised dimension reduction methods with LSTM to enhance the forecasting performance and refer to this as a dimension reduction based LSTM (DR-LSTM) approach. For a supervised dimension reduction method, we use methods such as sliced inverse regression (SIR), sparse SIR, and kernel SIR. Furthermore, principal component analysis (PCA), sparse PCA, and kernel PCA are used as unsupervised dimension reduction methods. Using datasets of real stock market index (S&P 500, STOXX Europe 600, and KOSPI), we present a comparative study on predictive accuracy between six DR-LSTM methods and time series modeling.

수중 주파수영역표면파괴기법의 역해석 과정에서 적용되는 파동해석기법 (Theoretical Modeling of Surface Wave Propagation for SASW Testing Method)

  • 이병식
    • 지구물리
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    • 제3권4호
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    • pp.251-260
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    • 2000
  • 수중 SASW 실험에서 얻은 표면파의 실험분산곡선으로부터 지반의 강성을 추정하기 위한 역해석 과정에서 적용할 수 있는 파동해석기법인 로드해석법(2차원 해석법)과 변위해석법(3차원 해석법)의 적용성을 평가하였다. 그 결과 지반의 강성이 깊이에 따라 점진적으로 증가하고 지반 강성이 비교적 낮아 그 압축파 속도가 물의 압축파 속도보다 느린 경우에 대해서는 고유치 해석법을 적용할 수 있었다. 그러나 지반의 강성이 크거나 깊이에 따른 지반강설의 변화가 역전되는 경우에는 고차모트의 영향이나 고유치가 복소수가 되는 등의 문제가 발생하게 되므로 고유치 해석법으로 적절한 이론분산곡선을 얻을 수 없는 경우가 많고, 이 경우에는 변위해석법을 적용하여야 한다는 결론을 얻었다. 한편 수중 SASW 현장실험으로부터 얻은 결과를 제안된 변위해석법을 이용하여 분석한 결과 지반의 강성주상을 적절하게 추정한 수 있어 수중 SASW 실험의 현장 적용성을 확인할 수 있었다.

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임피던스법을 이용한 혈류량 변화 측정 (Measurement of Blood Flow Variation using Impedance Method)

  • 정도운;강성철;전계록
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2006년도 춘계종합학술대회
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    • pp.693-696
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    • 2006
  • 본 연구에서는 생체 임피던스의 변화를 계측하여 혈류량의 변화를 추정하기 위한 시스템을 구현하였다. 구현된 시스템은 인위적인 압력을 가하여 압력의 변화에 따른 임피던스의 변화량을 측정할 수 있도록 구성하였으며, 크게 압력 측정부와 4 전극법을 이용한 임피던스 측정부로 구분할 수 있다. 압력 측정부는 반도체식 압력센서와 센서의 출력신호를 처리하기 위한 전자회로부로 구성하였고, 임피던스 측정부는 교류 정전류원 회로와 임피던스 신호의 검출을 위한 락인 증폭기로 시스템을 구성하였다. 구현된 시스템의 성능평가를 위하여 표준저항을 이용한 임피던스 측정부의 특성조사 실험을 수행 하였다. 그리고 실제 실험군을 대상으로 임피던스의 계측을 통한 혈류량 변화 추정실험을 수행하였고, 혈류량 변화와 평균 동맥압을 이용한 혈류 저항비를 추정하였다 그 결과 혈류저항비와 혈류량의 변화는 반비례관계를 명확하게 보여 주었으며, 상관분석을 수행한 결과 상관계수가 -0.96776으로 강한 음의 상관관계를 나타내었다.

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파수-주파수 분석을 이용한 자동차 옆 창문 표면 압력 섭동의 비압축성/압축성 성분 분해 (Decomposition of Surface Pressure Fluctuations on Vehicle Side Window into Incompressible/compressible Ones Using Wavenumber-frequency Analysis)

  • 이송준;정철웅
    • 한국소음진동공학회논문집
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    • 제26권7호
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    • pp.765-773
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    • 2016
  • The vehicle interior noise caused by exterior fluid flow field is one of critical issues for product developers in a design stage. Especially, turbulence and vortex flow around A-pillar and side mirror affect vehicle interior noise through a side window. The reliable numerical prediction of the noise in a vehicle cabin due to exterior flow requires distinguishing between the aerodynamic (incompressible) and the acoustic (compressible) surface pressures as well as accurate computation of surface pressure due to this flow, since the transmission characteristics of incompressible and compressible pressure waves are quite different from each other. In this paper, effective signal processing technique is proposed to separate them. First, the exterior flow field is computed by applying computational aeroacoustics techniques based on the Lattice Boltzmann method. Then, the wavenumber-frequency analysis is performed for the time-space pressure signals in order to characterize pressure fluctuations on the surface of a vehicle side window. The wavenumber-frequency diagrams of the power spectral density shows clearly two distinct regions corresponding to the hydrodynamic and the acoustic components of the surface pressure fluctuations. Lastly, decomposition of surface pressure fluctuation into incompressible and compressible ones is successfully accomplished by taking the inverse Fourier transform on the wavenumber-frequency diagrams.

동적응답신호를 이용한 전단형 건물의 손상추정 (Damage Detection of Shear Building Structures Using Dynamic Response)

  • 유석형
    • 한국구조물진단유지관리공학회 논문집
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    • 제18권3호
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    • pp.101-107
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    • 2014
  • 구조물의 손상 추정은 동적응답신호로부터 고유주기와 모드형상을 구한 후 이를 역해석하여 손상위치와 손상정도를 파악함으로써 이루어 진다. 건축구조물의 경우 토목구조물에 비하여 구조형식이 복잡하고 비구조요소 및 노이즈 등의 영향으로 인하여 구조물 판별에 어려움이 있다. 동적응답신호를 이용한 건물의 손상추정에 관한 최근의 연구들은 손상추정을 위하여 민감도 또는 추정치 등 간접적 지표를 사용하고 있으나, 좀 더 합리적이고 명확한 손상추정을 위하여 운동방정식으로부터 직접 유도된 변수를 손상지수로 활용할 필요가 있을 것으로 판단된다. 따라서 본 연구에서는 전단형 건물의 운동방정식으로부터 직접 유도된 층강성 감소비를 손상지수로 하는 손상추정 방법을 제안하였다. 제안된 손상지수는 손상 전 모드형상과 손상 전 후 고유진동수 차이를 알면 구할 수 있다. 제안된 손상 추정방법을 수치해석예제에 적용한 결과 손상이 발생한 층에서 층강성 변화율이 (-)부호를 나타내었으며, 크기가 다른 층에 비하여 15배 정도 크게 나타나 전단형 건물의 손상 추정지수로서 활용될 수 있을 것으로 판단된다.