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Using artificial neural network to predict velocity of sound in liquid water as a function of ambient temperature, electrical and magnetic fields

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Journal of Ocean Engineering and Science 2016年第3期1卷 203-211页

作者： Hashem Nowruzi Hassan Ghassemi Department of Ocean Engineering Amirkabir University of Technology(Tehran Polytechnic)TehranIran

One of the main thermophysical properties of liquid water is velocity of sound.However,the effect of different externalities on velocity of sound in liquid water is not well known.Therefore,in current study,by designing an artificial neural network(ANN)velocity of sound in liquid water under different externalities is predicted.Selected externalities are ambient temperature from 272.65 K to 348.43 K,different electrical fields in range of 0 V/m to 4.03E+9 V/m and magnetic fields in range of 0-10.0594 T.To prepare of reference dataset for entry to ANN,numerical and experimental data as macroscopic reference data are extracted from microscopic characteristic of water HB strength.In order to achieve an appropriate ANN,ANN architecture sensitivity analysis is conducted by using an iterative algorithm.Learning procedure in the selected feed-forward back propagation ANN is done by hyperbolic transfer functions.Also,Levenberg-Marquardt algorithm is utilized for the optimization process.ANNs output showed that the maximum MSE in prediction of velocity of sound is 0.00066.Also,the minimum of correlation coefficient in prediction of velocity of sound is 0.99131.Based on the ANNs outputs,weights and bias,an equation to predict of velocity of sound in liquid water under intended externalities is proposed.Also,according to weight sensitivity analysis input of electrical fields with 63%relative importance percentage has a grater impression on the response variable of velocity of sound in liquid water.©2016 Shanghai Jiaotong University.Published by Elsevier B.V.

关键词： Artificial neural network Electrical field Magnetic field velocity of sound Temperature

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Validation for equation of state in wide regime:Copper as prototype

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Matter and Radiation at Extremes 2016年第2期1卷 123-131页

作者： Haifeng Liu Haifeng Song Qili Zhang Gongmu Zhang Yanhong Zhao Laboratory of Computational Physics Institute of Applied Physics and Computational MathematicsBeijing 100088China

In this paper we introduce the wide regime equation of state(WEOS)developed in Institute of Applied Physics and Computational Mathematics(IAPCM).A semi-empirical model of the WEOS is given by a thermodynamically complete potential of the Helmholtz free energy which combines several theoretical models and has some adjustable parameters calibrated via some experimental and theoretical data.The validation methods of the equation of state in wide regime are presented using copper as a prototype.The results of the WEOS are well consistent with the available theoretical and experimental data,including ab initio cold curve under compression,isotherm,Hugoniot,off-Hugoniot and sound velocity data.It enhances our confidence in the accuracy of the WEOS,which is very important for the validation and verification of equation of state in high temperature and pressure technology.

关键词： Validation Wide-range equation of state Copper Ab initio cold curve Room-temperature isotherm Hugoniot velocity of sound

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