• 제목/요약/키워드: Monotonicity Preserving

검색결과 2건 처리시간 0.016초

Monotonicity Preserving Spectral Volume 기법 (Monotonicity Preserving Spectral Volume Method)

  • 김성수;윤성환;김종암
    • 한국항공우주학회지
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    • 제33권10호
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    • pp.1-9
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    • 2005
  • 단조성 유지 개념을 기반으로, 임의의 격자계에서 적용할 수 있는 새로운 제한자를 개발하였다. 본 논문에서 개발된 제한자는 임의의 계산 격자계에서 정확성과 단조성을 유지할 수 있는 특성을 가졌으며, 이러한 특성으로 인하여 spectral volume 기법으로의 적용이 가능하다. 또한 이 제한자는 smooth extremum에서 물성치의 변화를 허용하여 내삽된 물성치의 정확도를 향상시켜주는 역할을 한다. 일차원, 이차원 수치 해석의 결과를 통하여 본 논문에서 개발된 제한자의 특성을 검증하였다.

Data-driven SIRMs-connected FIS for prediction of external tendon stress

  • Lau, See Hung;Ng, Chee Khoon;Tay, Kai Meng
    • Computers and Concrete
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    • 제15권1호
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    • pp.55-71
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    • 2015
  • This paper presents a novel harmony search (HS)-based data-driven single input rule modules (SIRMs)-connected fuzzy inference system (FIS) for the prediction of stress in externally prestressed tendon. The proposed method attempts to extract causal relationship of a system from an input-output pairs of data even without knowing the complete physical knowledge of the system. The monotonicity property is then exploited as an additional qualitative information to obtain a meaningful SIRMs-connected FIS model. This method is then validated using results from test data of the literature. Several parameters, such as initial tendon depth to beam ratio; deviators spacing to the initial tendon depth ratio; and distance of a concentrated load from the nearest support to the effective beam span are considered. A computer simulation for estimating the stress increase in externally prestressed tendon, ${\Delta}f_{ps}$, is then reported. The contributions of this paper is two folds; (i) it contributes towards a new monotonicity-preserving data-driven FIS model in fuzzy modeling and (ii) it provides a novel solution for estimating the ${\Delta}f_{ps}$ even without a complete physical knowledge of unbonded tendons.