The purpose of this study was to establish a model for predicting the strength of magnesium oxychloride cement(MOC)by response surface analysis(RSM),and optimize its raw material ratio to improve its compressive strength.It was found that the molar ratio of MgO/MgCl2 and H2O/MgCl2 significantly affected the compressive strength of MOC.This study provides a scientific basis for the optimization of MOC ratio,and provides a new research tool and method for the application and development of MOC and other cementitious materials by establishing a prediction model,which is helpful to promote the wide application of MOC in construction and other fields.
关键词
氯氧镁水泥/响应面分析法/抗压强度/Matlab模型
Key words
magnesium oxychloride cement/response surface analysis/compressive strength/matlab model
维普
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