快速預(yù)測(cè)砂漿強(qiáng)度方法研究
[Abstract]:At present, the mortar used in the construction of our country is mainly mixed mortar, the quality of which is greatly affected by the construction conditions and the external environment. If the quality of the mortar can not be effectively controlled in construction, it will cause great economic losses to the construction side. It will be of great significance to reduce the quality risk of construction if the quality of mortar can be predicted quickly and the quality of mortar can be adjusted in time. In this paper, aiming at the quality control of mortar, taking cement mortar and mixed mortar (cement lime mortar), which are commonly used in building, as the object, the method of rapid prediction of mortar strength is studied. The main research contents and conclusions are as follows: (1) based on the rapid prediction method of concrete strength, a suitable test method for rapid prediction of mortar strength is designed, I. e., adding coagulant CS, to the mass produced mortar sample. After mixing evenly, the mortar specimen (40mm 脳 40mm 脳 50mm) was made into high temperature steam curing with mould. According to the early strength of accelerated curing, the curing strength of 28 days was predicted, and the enterprise standard of accelerated steam curing of mortar was given. (2) the mixture ratio design of cement mortar and mixed mortar of common strength grade (M5 / M7.5M10) was carried out, the specimen design, accelerated curing test and standard maintenance test were carried out, and the strength test data of 60 groups of 1080 specimens were obtained. (3) the relationship between the early strength of accelerated curing mortar and the strength of standard curing mortar for 28 days is studied. The linear mathematical models of monolithic, binary and ternary are established, and the numerical regression is carried out by using MATLAB software. The corresponding strength prediction formula is obtained by analysis. The univariate linear regression model only needs 3.5h (or 4.5h) to accelerate the curing strength of mortar, which can be used to predict the strength of commonly used mortar conveniently and quickly. The binary linear model needs two variables of 3.5 h and 4.5 h to accelerate curing mortar strength, which can get more accurate prediction results. In the ternary linear model, three variables, S / C (mass ratio of sand to cement) and 3.5 h / 4.5h accelerated curing mortar strength, can be used to predict the strength of mortar of different strength grades and types. The scope of application is wider. (4) the application of artificial neural network in predicting mortar strength is studied. The BP neural network model for predicting the strength of cement mortar and mixed mortar is established by using MATLAB software. The precision of the model is tested and compared with the traditional regression model. The test results are stable and reliable. (5) the strength development law of cement mortar and mixed mortar (cement lime mortar) under steam curing condition was obtained. Under the condition of accelerated curing, the strength value and strength ratio (the ratio of accelerated curing strength to standard curing strength of 28 days) showed an increasing trend with the increase of curing time. With the increase of cement content, the absolute value of cement involved in the condensation hardening reaction increased, and the relative value also increased, but the increase was relatively small. When the curing time is longer (3.5h and 4.5h), the strength test value often shows better correlation and less dispersion. Therefore, the 28d standard strength is predicted by the strength test value of the larger curing time. The prediction accuracy can be improved.
【學(xué)位授予單位】:中國礦業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TU578.1
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