Conductivity estimates of liquid hydrocarbons by finite element analysis in vibration mechanics

QIU Minghua; LIU Wanqiang; CHEN Guanfan; LIU Fengping; YUE Ming

doi:10.11949/j.issn.0438-1157.20151546

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Conductivity estimates of liquid hydrocarbons by finite element analysis in vibration mechanics

更新时间：2025-11-26

- Conductivity estimates of liquid hydrocarbons by finite element analysis in vibration mechanics
- CIESC Journal Issue 7, Pages: 2672-2678(2016)
- 作者机构：
  
  1. 湖南科技大学化学化工学院,湖南,湘潭,411201
  2. 理论有机化学与功能分子教育部重点实验室,湖南,湘潭,411201
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20151546
  CLC： 642.1TQ013.1
- Online First：05 July 2016，
  
  Published：05 July 2016
- 稿件说明：
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QIU Minghua, LIU Wanqiang, CHEN Guanfan, et al. Conductivity estimates of liquid hydrocarbons by finite element analysis in vibration mechanics[J]. CIESC Journal, 2016, (7): 2672-2678.
DOI：

QIU Minghua, LIU Wanqiang, CHEN Guanfan, et al. Conductivity estimates of liquid hydrocarbons by finite element analysis in vibration mechanics[J]. CIESC Journal, 2016, (7): 2672-2678. DOI： 10.11949/j.issn.0438-1157.20151546.

摘要

将烃分子结构模拟成弹性体，用振动力学有限元分析方法对分子3D结构进行有限元分析，建立分子结构体系的刚度矩阵和多自由度振动方程，用MATLAB软件包求解得到分子结构固有频率和刚度矩阵特征值，将分子结构固有频率和刚度矩阵特征值作为参数，用多元回归方法建立液态烃类热导率QSPR模型。该模型对训练集581个多类烃的液态热导率的计算值与实验值的相关系数为0.9874，平均绝对误差小于0.00259 W·m-1·K-1，平均相对误差小于2.39%；对测试集22个烃类化合物热导率的预测值与实验值的相关系数为0.9550，平均绝对误差小于0.00263 W·m-1·K-1，平均相对误差小于2.42%。该计算模型的计算值和实验吻合，可用于链烃、烯烃、炔烃及单环烷烃、多环烷烃、萘烷、芴烷、菲烷、茚烷、蒎烷等复杂结构烷烃的液体热导率的计算。

Abstract

Given hydrocarbon molecular structures as elastomers

three dimentional (3D) molecular structure of hydrocarbons was analyzed by finite element analysis in vibration mechanics. The stiffness matrix and vibration equation of molecular structure system was established

and its eigen values of inherent frequency and stiffness matrix were obtained by calculation using MATLAB software

followed by QSPR model for the liquid hydrocarbon conductivity by multivariate regression method. For training set consisting of 581 liquid hydrocarbons

the correlation coefficient R between the calculated values of liquid conductivity using QSPR model and the experimented data is 0.9874

the mean absolute error less than 0.00259 W·m-1·K-1

and the relative error less than 2.39%. For testing set comprising 22 liquid hydrocarbons

the correlation coefficient R is 0.9550

the mean absolute error less than 0.00263 W·m-1·K-1

and the relative error less than 2.42%. It showed that the calculated values by this QSPR model fit experimental data well in terms of conductivity of liquid hydrocarbon. It can be used to estimate the liquid conductivity of complex hydrocarbons such as acyclic alkanes

alkenes

alkynes

monocycle alkanes

polycyoalkanes

decahydronaphthalenes

fluorene alkanes

perhydrophenanthrenes

indene alkanes

and pinanes.

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