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Journal Article 3

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randomness 2

RAC 1

Sobol′ index 1

chance constrained 1

concrete arch dams 1

exceedance probability 1

homogenization 1

improved Latin hypercube sampling 1

microscopic randomness 1

multiscale 1

nano-indentation digital image 1

reliability 1

unit commitment (UC) 1

univariate 1

variance-based sensitivity analysis 1

wind generation 1

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A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 192-200 doi: 10.1007/s11708-014-0306-x

Abstract: of wind-thermal co-ordination system as well as stochasticity in the load side by incorporating the randomness

Keywords: unit commitment (UC)     randomness     wind generation     univariate     chance constrained    

Three-scale stochastic homogenization of elastic recycled aggregate concrete based on nano-indentation digital images

Chen WANG, Yuching WU, Jianzhuang XIAO

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 461-473 doi: 10.1007/s11709-017-0441-7

Abstract: The microscopic randomness is taken into account, and correlations of RAC among five phases are investigated

Keywords: RAC     nano-indentation digital image     multiscale     microscopic randomness     homogenization    

Reliability and variance-based sensitivity analysis of arch dams during construction and reservoir impoundment

M. Houshmand KHANEGHAHI, M. ALEMBAGHERI, N. SOLTANI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 526-541 doi: 10.1007/s11709-018-0495-1

Abstract: The static performance of arch dams during construction and reservoir impoundment is assessed taking into account the effects of uncertainties presented in the model properties as well as the loading conditions. Dez arch dam is chosen as the case study; it is modeled along with its rock foundation using the finite element method considering the stage construction. Since previous studies concentrated on simplified models and approaches, comprehensive study of the arch dam model along with efficient and state-of-the-art uncertainty methods are incorporated in this investigation. The reliability method is performed to assess the safety level and the sensitivity analyses for identifying critical input factors and their interaction effects on the response of the dam. Global sensitivity analysis based on improved Latin hypercube sampling is employed in this study to indicate the influence of each random variable and their interaction on variance of the responses. Four levels of model advancement are considered for the dam-foundation system: 1) Monolithic dam without any joint founded on the homogeneous rock foundation, 2) monolithic dam founded on the inhomogeneous foundation including soft rock layers, 3) jointed dam including the peripheral and contraction joints founded on the homogeneous foundation, and 4) jointed dam founded on the inhomogeneous foundation. For each model, proper performance indices are defined through limit-state functions. In this manner, the effects of input parameters in each performance level of the dam are investigated. The outcome of this study is defining the importance of input factors in each stage and model based on the variance of the dam response. Moreover, the results of sampling are computed in order to assess the safety level of the dam in miscellaneous loading and modeling conditions.

Keywords: concrete arch dams     reliability     randomness     improved Latin hypercube sampling     variance-based sensitivity    

Title Author Date Type Operation

A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Journal Article

Three-scale stochastic homogenization of elastic recycled aggregate concrete based on nano-indentation digital images

Chen WANG, Yuching WU, Jianzhuang XIAO

Journal Article

Reliability and variance-based sensitivity analysis of arch dams during construction and reservoir impoundment

M. Houshmand KHANEGHAHI, M. ALEMBAGHERI, N. SOLTANI

Journal Article