• 제목/요약/키워드: Multiple response model

검색결과 468건 처리시간 0.029초

Analysis of a cable-stayed bridge with uncertainties in Young's modulus and load - A fuzzy finite element approach

  • Rama Rao, M.V.;Ramesh Reddy, R.
    • Structural Engineering and Mechanics
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    • 제27권3호
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    • pp.263-276
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    • 2007
  • This paper presents a fuzzy finite element model for the analysis of structures in the presence of multiple uncertainties. A new methodology to evaluate the cumulative effect of multiple uncertainties on structural response is developed in the present work. This is done by modifying Muhanna's approach for handling single uncertainty. Uncertainty in load and material properties is defined by triangular membership functions with equal spread about the crisp value. Structural response is obtained in terms of fuzzy interval displacements and rotations. The results are further post-processed to obtain interval values of bending moment, shear force and axial forces. Membership functions are constructed to depict the uncertainty in structural response. Sensitivity analysis is performed to evaluate the relative sensitivity of displacements and forces to uncertainty in structural parameters. The present work demonstrates the effectiveness of fuzzy finite element model in establishing sharp bounds to the uncertain structural response in the presence of multiple uncertainties.

Bayesian Analysis for Multiple Capture-Recapture Models using Reference Priors

  • Younshik;Pongsu
    • Communications for Statistical Applications and Methods
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    • 제7권1호
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    • pp.165-178
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    • 2000
  • Bayesian methods are considered for the multiple caputure-recapture data. Reference priors are developed for such model and sampling-based approach through Gibbs sampler is used for inference from posterior distributions. Furthermore approximate Bayes factors are obtained for model selection between trap and nontrap response models. Finally one methodology is implemented for a capture-recapture model in generated data and real data.

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An analytical model for displacement response spectrum considering the soil-resonance effect

  • Zhang, Haizhong;Zhao, Yan-Gang
    • Earthquakes and Structures
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    • 제22권4호
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    • pp.373-386
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    • 2022
  • The development of performance-based design methodologies requires a reasonable definition of a displacement-response spectrum. Although ground motions are known to be significantly affected by the resonant-like amplification behavior caused by multiple wave reflections within the surface soil, such a soil-resonance effect is seldom explicitly considered in current-displacement spectral models. In this study, an analytical approach is developed for the construction of displacement-response spectra by considering the soil-resonance effect. For this purpose, a simple and rational equation is proposed for the response spectral ratio at the site fundamental period (SRTg) to represent the soil-resonance effect based on wave multiple reflection theory. In addition, a bilinear model is adopted to construct the soil displacement-response spectra. The proposed model is verified by comparing its results with those obtained from actual observations and SHAKE analyses. The results show that the proposed model can lead to very good estimations of SRTg for harmonic incident seismic waves and lead to reasonable estimations of SRTg and soil displacement-response spectra for earthquakes with a relatively large magnitude, which are generally considered for seismic design, particularly in high-seismicity regions.

A Study on a Basis for the Selection of a Design for Quadratic Model Fits Fearing a Cubic Bias in Multilple Response Case

  • Bae, Wha-Soo
    • Journal of the Korean Statistical Society
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    • 제24권1호
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    • pp.31-44
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    • 1995
  • In fitting a model, there always exists a discrepancy between the fitted model and the true functional relationship. In measuring this discrepancy, Box and Drapper (1959) used the criterion dividing the discrepancy into two parts which are the bias error part and the variance error one in single response case. In this paper, an optimum design which makes these two types of errors as small as possible is found by extending the Box and Drapper criterion to multiple response situation. Especially, a design is found to meat rotatability conditions when we fit a quadratic model to each response fearing cubic bias. Using the central composite design, an application of general results to a specific case is shown to help understanding the material.

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A Unifying Model for Hypothesis Testing Using Legislative Voting Data: A Multilevel Item-Response-Theory Model

  • Jeong, Gyung-Ho
    • 분석과 대안
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    • 제5권1호
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    • pp.3-24
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    • 2021
  • This paper introduces a multilevel item-response-theory (IRT) model as a unifying model for hypothesis testing using legislative voting data. This paper shows that a probit or logit model is a special type of multilevel IRT model. In particular, it is demonstrated that, when a probit or logit model is applied to multiple votes, it makes unrealistic assumptions and produces incorrect coefficient estimates. The advantages of a multilevel IRT model over a probit or logit model are illustrated with a Monte Carlo experiment and an example from the U.S. House. Finally, this paper provides a practical guide to fitting this model to legislative voting data.

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Optimization in Multiple Response Model with Modified Desirability Function

  • Cho, Young-Hun;Park, Sung-Hyun
    • International Journal of Quality Innovation
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    • 제7권3호
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    • pp.46-57
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    • 2006
  • The desirability function approach to multiple response optimization is a useful technique for the analysis of experiments in which several responses are optimized simultaneously. But the existing methods have some defects, and have to be modified to some extent. This paper proposes a new method to combine the individual desirabilities.

구조물의 시간-변화 동적응답에 대한 다중응답접근법 기반 통계적 공간-시간 메타모델 (Statistical Space-Time Metamodels Based on Multiple Responses Approach for Time-Variant Dynamic Response of Structures)

  • 이진민;이태희
    • 대한기계학회논문집A
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    • 제34권8호
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    • pp.989-996
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    • 2010
  • 통계적 회귀모델과 보간모델은 구조공학 분야에서 실제실험과 전산실험의 결과로부터 자료를 분석하고 응답을 예측하기 위해 적용되었으며 최근 10 년 동안 다양한 설계방법론들과 함께 발전해왔다. 그러나 그들은 구조물의 크기와 형상과 같은 공간변수에 대해서만 취급해왔고 시간변수에 따라 변하는 시간-변화 동적응답을 고려할 수 없었다. 본 연구에서는 공간변수와 시간변수를 모두 취급하여 시간-변화 동적응답을 고려할 수 있는 다중응답접근법 기반 통계적 공간-시간 메타모델을 제안한다. 대표적 회귀모델인 반응표면모델과 보간모델인 크리깅모델을 구조공학 예제의 시간-변화 동적응답에 적용한다. 또한 제안한 방법의 성능을 검증하기 위해 실제함수와의 비교를 통해 두 통계적 공간-시간 메타모델의 정확성을 비교한다.

An improved approach for multiple support response spectral analysis of a long-span high-pier railway bridge

  • Li, Lanping;bu, Yizhi;Jia, Hongyu;Zheng, Shixiong;Zhang, Deyi;Bi, Kaiming
    • Earthquakes and Structures
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    • 제13권2호
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    • pp.193-200
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    • 2017
  • To overcome the difficulty of performing multi-point response spectrum analysis for engineering structures under spatially varying ground motions (SVGM) using the general finite element code such as ANSYS, an approach has been developed by improving the modelling of the input ground motions in the spectral analysis. Based on the stochastic vibration analyses, the cross-power spectral density (c-PSD) matrix is adopted to model the stationary SVGM. The design response spectra are converted into the corresponding PSD model with appropriate coherency functions and apparent wave velocities. Then elements of c-PSD matrix are summarized in the row and the PSD matrix is transformed into the response spectra for a general spectral analysis. A long-span high-pier bridge under multiple support excitations is analyzed using the proposed approach considering the incoherence, wave-passage and site-response effects. The proposed approach is deemed to be an efficient numerical method that can be used for seismic analysis of large engineering structures under SVGM.

Estimation of peak wind response of building using regression analysis

  • Payan-Serrano, Omar;Bojorquez, Eden;Reyes-Salazar, Alfredo;Ruiz-Garcia, Jorge
    • Wind and Structures
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    • 제29권2호
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    • pp.129-137
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    • 2019
  • The maximum along-wind displacement of a considerable amount of building under simulated wind loads is computed with the aim to produce a simple prediction model using multiple regression analysis with variables transformation. The Shinozuka and Newmark methods are used to simulate the turbulent wind and to calculate the dynamic response, respectively. In order to evaluate the prediction performance of the regression model with longer degree of determination, two complex structural models were analyzed dynamically. In addition, the prediction model proposed is used to estimate and compare the maximum response of two test buildings studied with wind loads by other authors. Finally, it was proved that the prediction model is reliable to estimate the maximum displacements of structures subjected to the wind loads.

새로운 2단계 확률화응답모형 (A new two-state randomized response model)

  • 김종호;류제복;이기성
    • 응용통계연구
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    • 제5권2호
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    • pp.157-167
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    • 1992
  • 본 논문에서는 조사에 있어서 응답자들의 신분이나 비밀을 더 보장해 줌으로써 더욱 정확한 정보를 얻을 수 있는 새로운 2단계 확률화응답모형을 제안한다. 제안한 모형이 Warner 모형, Liu-Chow의 반복시행모형, Mangat-Singh 모형에 비하여 효율성이 있음을 보였다.

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