[1]陈荣淋,周克民.运用响应面法的工程废土综合改性优化[J].华侨大学学报(自然科学版),2021,42(3):312-321.[doi:10.11830/ISSN.1000-5013.202009010]
 CHEN Ronglin,ZHOU Kemin.Optimization of Construction Waste Soil Comprehensive Modification Using Response Surface Method[J].Journal of Huaqiao University(Natural Science),2021,42(3):312-321.[doi:10.11830/ISSN.1000-5013.202009010]
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运用响应面法的工程废土综合改性优化()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第42卷
期数:
2021年第3期
页码:
312-321
栏目:
出版日期:
2021-05-20

文章信息/Info

Title:
Optimization of Construction Waste Soil Comprehensive Modification Using Response Surface Method
文章编号:
1000-5013(2021)03-0312-10
作者:
陈荣淋 周克民
华侨大学 土木工程学院, 福建 厦门 361021
Author(s):
CHEN Ronglin ZHOU Kemin
College of Civil Engineering, Huaqiao University, Xiamen 361021, China
关键词:
响应面法 工程废土 改性试验 性能优化 预测模型
Keywords:
response surface method construction waste soil modification test performance optimization prediction model
分类号:
TU398
DOI:
10.11830/ISSN.1000-5013.202009010
文献标志码:
A
摘要:
基于响应面法中的Box-Behnken试验设计方法,在考虑因素间交互作用的基础上对工程废土进行综合改性优化研究.构建成型压力、混合料含水率、水泥掺量及细石掺量等因素与改性后工程废土表观密度、抗压强度、导热系数和软化系数等指标间的响应面,探索各因素对响应指标的影响规律.通过回归模型修正、试验验证获取适用于工程废土综合改性优化指标响应值预测的回归模型方程.结果表明:考虑工艺成本,工程废土在进行综合改性优化时,成型压力、混合料含水率、水泥掺量和细石掺量的最优取值范围分别为15~25 MPa,10.5%~12.5%,8%~12%和3%~6%;各影响因素对改性后工程废土的表观密度、抗压强度、导热系数和软化系数等指标的影响显著程度均不相同,且存在交互作用;修正后的改性工程废土指标响应值回归模型经试验验证,最大偏差值为6.07%,适用于工程废土改性方案的优化和各指标响应值的预测.
Abstract:
Based on the Box-Behnken test design method in the response surface method, the construction waste soil was comprehensively modified and optimized considering the interaction between the influencing factors. The response surfaces considering various factors were established, such as forming pressure, content of mixture moisture, the amount of cement, the amount of fine stones, the apparent density, compressive strength, thermal conductivity coefficient and softening coefficient of the modified construction waste soil, the influence of each factor on the response index was investigated. Through regression model correction and experimental verification, the regression model equation to predict of response value of comprehensive modification optimization index of engineering waste soil was obtained. The results show that, considering the process cost, in process of comprehensive modification and optimization of construction waste soil, the forming pressure, the optimal values of the content of mixture moisture, the amount of cement and the amount of fine stones are 15-25 MPa, 10.5%-12.5%, 8%-12%, and 3%-6% respectively. Each influencing factor effects differently on the apparent density, compressive strength, thermal conductivity coefficient and softening coefficient of the modified construction waste soil, and also interacts between the factors. The revised regression model of the modified construction waste soil indexes response value is verified by experiments, the maximum deviation value is 6.07%, which is suitable for the optimization of construction waste soil modification plan and the prediction of the response value of each index.

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备注/Memo

备注/Memo:
收稿日期: 2020-09-03
通信作者: 陈荣淋(1981-),男,高级实验师,博士,主要从事土木工程相关实验技术及计算机辅助仿真设计的研究.E-mail:501289999@qq.com.
基金项目: 国家自然科学基金资助项目(11572131); 福建省自然科学基金资助项目(2019H0012); 华侨大学科研资助项目(50X19112)http://www.hdxb.hqu.edu.cn
更新日期/Last Update: 2021-05-20