1. Ground Motion Models • describe ground motion caused by earthquakes given event and site related predictor variables • a popular model, based on physical principles, is the so-called stochastic model a • because of its complexity, a surrogate model is often used instead • usually a regression function is fitted through data generated by the stochastic model; the functional form is derived fr...

nowadays, due to increasing the complexity of ic engines, calibration task becomes more severe and the need to use surrogate models for investigating of the engine behavior arises. accordingly, many black box modeling approaches have been used in this context among which network based models are of the most powerful approaches thanks to their flexible structures. in this paper four network base...

The objective of this study is to develop an accurate surrogate modeling method for construction of the surrogate model to represent the performance measures of the compute-intensive simulation model in reliability-based design optimization (RBDO). In addition, an assessment method for the confidence level of the surrogate model and a conservative surrogate model to account the uncertainty of t...

background: using the method “surrogacy” in which a woman accepts to bear and deliver a child for a married couple is considered as a subsidiary method in infertility therapy. this method is relatively new in iran. objective: the purpose of this study was to evaluate the experiences of the women involved in surrogacy and to reveal some issues related to this method. materials and methods: the m...

1 Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics Yu-Hung Chang a,*, Liwei Zhang a,**, Xingjian Wang a,†, Shiang-Ting Yeh a,††, Simon Mak b,‡, Chih-Li Sung b,‡, C. F. Jeff Wu b, §, Vigor Yang a, ¶ a School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA b School of Industrial and ...

Evaluation of failure probability of a given system requires sampling of the system response and can be computationally expensive. Therefore it is desirable to construct an accurate surrogate model for the system response and subsequently to sample the surrogate model. In this paper we discuss the properties of this approach. We demonstrate that the straightforward sampling of a surrogate model...

In chemical analysis made by laboratories one has the problem of determining the concentration of a chemical element in a sample. In order to tackle this problem the guide EURACHEM/CITAC recommends the application of the linear calibration model, so implicitly assume that there is no measurement error in the independent variable X. In this work, it is proposed a new calibration model assuming t...