The Application of Gene Expression Programming in Concrete Creep Analysis

HE Xianfeng ; GU Chongshi; GU Yanchang; CHEN Rui

doi:10.11835/j.issn.1674-4764.2008.04.018

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The Application of Gene Expression Programming in Concrete Creep Analysis

更新时间：2023-11-28

- The Application of Gene Expression Programming in Concrete Creep Analysis
- Journal of Civil and Environmental Engineering Vol. 30, Issue 4, Pages: 82-86(2008)
- 作者机构：
  
  1. 河海大学水电学院,南京,210098
  2. 黄河水利科学研究院,郑州,450003
  3. 水利部堤防安全与病害防治工程技术研究中心郑州450003 
  4. 水资源高效利用与工程安全国家工程研究中心,南京,210098
- 作者简介：
- 基金信息：
- DOI：10.11835/j.issn.1674-4764.2008.04.018
  CLC：
- Published：2008
- 稿件说明：
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HE Xianfeng , GU Chongshi, GU Yanchang, et al. The Application of Gene Expression Programming in Concrete Creep Analysis[J]. Journal of Civil and Environmental Engineering, 2008, 30(4): 82-86.
DOI：

HE Xianfeng , GU Chongshi, GU Yanchang, et al. The Application of Gene Expression Programming in Concrete Creep Analysis[J]. Journal of Civil and Environmental Engineering, 2008, 30(4): 82-86. DOI： 10.11835/j.issn.1674-4764.2008.04.018.

摘要

混凝土徐变分析在混凝土结构应力计算和变形分析中有着重要意义。由于影响混凝土徐变的因素较多，徐变函数呈现高度非线性，传统回归方法难以取得令人满意结果。基因表达式程序设计方法，吸取了遗传算法和基因编程两者的优点，在解决非线性拟合问题方面表现出非凡的数据挖掘能力与优势。在基因表达式编程理论分析基础上，利用该方法建立了混凝土徐变函数知识挖掘模型。实例表明，该模型比常规方法得到的函数有更高的精度。

Abstract

The creep analysis of concrete is of great importance in stress calculation and deformation analysis of concrete structures. Since many factors affect concrete creep

the creep function is highly nonlinear

making it difficult to obtain satisfactory results using the traditional regression method. The gene expression programming (GEP) method

which combines the advantages of GA and gene programming

shows great promise and capability of data mining in nonlinear fitting. Based on theoretical analysis of GEP

the data mining model of the creep function was established by using GEP. Examples indicate this model is more accurate than functions obtained by conventional methods.

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