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Efficient seismic reliability analysis of large-scale coupled systems including epistemic and aleatory uncertainties
Abstract Reliability analysis of large coupled systems is a challenging task in dam safety. Not only the number of random variables is increased, but also a complex numerical model makes the simulations computationally expensive. To overcome this problem, an efficient analytical model should be developed which does not affect the accuracy of reliability analysis. In this paper, a gravity dam-foundation-reservoir coupled system is taken as a vehicle for the numerical simulations. Epistemic (i.e. material) uncertainties, as well as the ground motion record-to-record variability (i.e. aleatory) are incorporated in the simulations. A new reliability technique is proposed and its efficiency is compared to the Latin Hypercube Sampling (LHS). In this technique, a continuous probability density function is replaced by a finite number of fractional moments. Furthermore, an improved bivariate dimension reduction method is developed for dynamic systems. Several parametric simulations are performed to investigate the impact of the reservoir water level and the dam size. Results of the proposed method are in good agreement with the LHS. Finally, a response surface meta-model is proposed to estimate the dam behavior as a function of ground motion intensity measures.
Highlights An efficient reliability analysis technique id proposed for dynamical systems. The proposed method accounts for both the epistemic and aleatory uncertainties. Computational effort is considerably reduced compared to Latin Hypercube sampling. Several parametric studies are performed on dam-reservoir-foundation coupled system. A response surface meta-model is proposed for dam response.
Efficient seismic reliability analysis of large-scale coupled systems including epistemic and aleatory uncertainties
Abstract Reliability analysis of large coupled systems is a challenging task in dam safety. Not only the number of random variables is increased, but also a complex numerical model makes the simulations computationally expensive. To overcome this problem, an efficient analytical model should be developed which does not affect the accuracy of reliability analysis. In this paper, a gravity dam-foundation-reservoir coupled system is taken as a vehicle for the numerical simulations. Epistemic (i.e. material) uncertainties, as well as the ground motion record-to-record variability (i.e. aleatory) are incorporated in the simulations. A new reliability technique is proposed and its efficiency is compared to the Latin Hypercube Sampling (LHS). In this technique, a continuous probability density function is replaced by a finite number of fractional moments. Furthermore, an improved bivariate dimension reduction method is developed for dynamic systems. Several parametric simulations are performed to investigate the impact of the reservoir water level and the dam size. Results of the proposed method are in good agreement with the LHS. Finally, a response surface meta-model is proposed to estimate the dam behavior as a function of ground motion intensity measures.
Highlights An efficient reliability analysis technique id proposed for dynamical systems. The proposed method accounts for both the epistemic and aleatory uncertainties. Computational effort is considerably reduced compared to Latin Hypercube sampling. Several parametric studies are performed on dam-reservoir-foundation coupled system. A response surface meta-model is proposed for dam response.
Efficient seismic reliability analysis of large-scale coupled systems including epistemic and aleatory uncertainties
Hariri-Ardebili, Mohammad Amin (author) / Xu, Jun (author)
Soil Dynamics and Earthquake Engineering ; 116 ; 761-773
2018-10-08
13 pages
Article (Journal)
Electronic Resource
English
British Library Online Contents | 2019
|British Library Online Contents | 2019
|British Library Online Contents | 2019
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