Concrete material compressive strength prediction method based on AdaBoost algorithm

Abstract

The invention discloses a concrete material compressive strength prediction method based on the AdaBoost algorithm. Firstly, a large amount of existing concrete compressive strength test data is collected as a training set; the proportion of each component of the concrete material is regarded as an input variable, and the compressive strength of the concrete material is used as an output variable;the test data is trained through a weak classifier in the AdaBoost algorithm; weights of different weak classifiers are determined according to accuracy of training results, weights of the weak classifiers low in prediction error rate are increased, weights of the weak classifiers high in prediction error rate are reduced, and therefore all the weak classifiers are combined into the strong classifier high in prediction precision, and the compressive strength of concrete can be given directly according to input relevant parameters. According to the method, the compressive strength of the concrete material can be quickly and accurately predicted only through simple data collection and machine learning method application, and popularization and application of professionals such as structuraldesign, identification and reinforcement are facilitated.

Description

Technical field [0001] The invention relates to a method for predicting the compressive strength of materials, in particular to a method for predicting the compressive strength of concrete materials based on an AdaBoost algorithm. Background technique [0002] Concrete materials have the advantages of easy materials, low cost, superior performance, and high durability, so they are widely used in practical engineering. At present, concrete structure has become the structural type with the largest proportion in civil engineering. The compressive strength of concrete materials is one of the key parameters of concrete structure design, and it is seriously related to the safety performance of the overall structure. The compressive strength of concrete is generally measured by means of experiments. Concrete test block samples are poured according to the designed mix ratio and cured for a certain period of time. After forming, the strength test is carried out to obtain the compressive ...

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Problems solved by technology

[0003] Purpose of the invention: the purpose of the present invention is to provide a method for predicting the compressive strength of concrete materials based on the AdaBoost algorithm, to solve the time-consuming, inefficient and wasteful problems of measuring the compressive strength of concrete by means of tests

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