Derivation of rainfall IDF relations by third-order polynomial normal transform
Sign Up to like & getrecommendations! Published in 2018 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-018-1583-4
Abstract: Establishing the rainfall intensity–duration–frequency (IDF) relations by the conventional method, the use of parametric distribution models has the advantage of automatic compliance of monotonicity condition of rainfall intensity and frequency. However, fitting rainfall data to… read more here.
Keywords: idf relations; third order; rainfall idf; rainfall ... See more keywords
Analytical integration of 0th, 2nd, and 4th order polynomial filtering functions on unstructured grid for dispersed phase fraction computation in an Euler–Lagrange approach
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Multiphase Flow"
DOI: 10.1016/j.ijmultiphaseflow.2017.09.005
Abstract: Abstract This paper presents an analytical approach to evaluate the volume integrals emerging during dispersed phase fraction computation in Lagrangian–Eulerian methods. It studies a zeroth, second, and fourth order polynomial filtering function in test cases… read more here.
Keywords: order polynomial; dispersed phase; polynomial filtering; approach ... See more keywords
A new sequential sampling method for constructing the high-order polynomial surrogate models
Sign Up to like & getrecommendations! Published in 2018 at "Engineering Computations"
DOI: 10.1108/ec-05-2016-0160
Abstract: Purpose This paper aims to study the sampling methods (or design of experiments) which have a large influence on the performance of the surrogate model. To improve the adaptability of modelling, a new sequential sampling… read more here.
Keywords: order; sequential sampling; surrogate; model ... See more keywords
Novel Two-Stage Method for Low-Order Polynomial Model
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/8156390
Abstract: One of the most popular statistical models is a low-order polynomial response surface model, i.e., a polynomial of first order or second order. These polynomials can be used for global metamodels in weakly nonlinear simulation… read more here.
Keywords: low order; order; two stage; model ... See more keywords
Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling
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DOI: 10.3390/en12163088
Abstract: This paper proposes a new probabilistic power flow method for the hybrid AC/VSC-MTDC (Voltage Source Control-Multiple Terminal Direct Current) grids, which is based on the combination of ninth-order polynomial normal transformation (NPNT) and inherited Latin… read more here.
Keywords: power flow; polynomial normal; power; probabilistic power ... See more keywords