Optimisation of CSGR Mix Proportion Based on Response Surface Methodology and Genetic Algorithm
REN Wenyuan
FAN Minghui
JIAO Yuhao
LI Runyang
YANG Puxin
Abstract：To investigate the workability and mechanical properties of cemented sand,gravel and rock(CSGR)under different two-grade aggregate conditions,both single-factor experiments and multifactorial experiments based on response surface methodology were conducted.The effects of sand ratio,water-binder ratio,and two-grade aggregate both individually and interactively,on the performance of CSGR,were thoroughly analyzed.A second-order polynomial regression model was established,and multi-objective optimization was performed using the non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ).The results show that the water-binder ratio has a significant influence on the vibratery compaction(VC)value,compressive strength,splitting tensile strength,and tensile-compressive strength ratio of CSGR.Additionally,the interaction between two-grade aggregate and the water-binder ratio has a significant effect on compressive strength.The NSGA-Ⅱ successfully achieves multi-objective optimization of"VC value-compressive strength-splitting tensile strength",providing reliable and diversified mix design solutions for CSGR.This study offers valuable insights for the practical construction and broad application of CSGR dams.
Keywords：cemented sandgravel and rock(CSGR)VC valuemechanical propertyresponse surface methodologygenetic algorithmmix proportion optimisation
Publication Date：2025-11-30
Online Publishing Date：2025-12-09(First online date of this platform, not the publication date of the document)
Pages：10( 1101-1110 )