T-beam concrete mix proportion method based on orthogonal design and normal cloud model machine-made sand

Abstract

The invention discloses a novel concrete mix proportion design method, which comprises the following steps of determining the mix proportion evaluation intervals and the standard comment cloud digitalcharacteristics through a mix proportion evaluation system established by expert evaluation; according to a specific mix proportion scheme, adopting a queuing theory to determine the importance orderand the distribution weight of each index in a mix proportion control factor, utilizing a reverse normal cloud generator to convert a qualitative index into a quantitative cloud digital feature, andfusing the index weight and an evaluation index cloud model to obtain a final comprehensive evaluation cloud, calculating the mix proportion scheme by using Matlab to generate a mix proportion schemecomprehensive evaluation cloud drop graph; evaluating the cloud similarity and the standard cloud similarity comprehensively by utilizing a cloud similarity principle comparison scheme; obtaining a final evaluation result of the scheme, determining factors needing to be improved and the improvement scheme of the scheme, redesigning an orthogonal test, further adjusting the mix proportion, improving the mix proportion scheme, obtaining an optimized new mix proportion, and circulating a design-evaluation-optimization process to enable the mix proportion to meet the requirements.

Description

technical field [0001] The invention relates to the technical field of civil engineering, in particular to a design and optimization method for the mix proportion of machine-made sand T-beam concrete based on orthogonal design and normal cloud model. Background technique [0002] At present, the concrete production in the field of civil engineering in my country is still based on the working performance and mechanical strength to determine the concrete mix ratio as the main design mode. Increasing emphasis on the improvement of durability (impermeability and crack resistance, etc.). The traditional concrete mix ratio design and optimization method has certain defects in the mix ratio design and optimization: First, the design cycle is long. Due to regional material differences, the tester's mix ratio experience directly affects the design process, which requires a lot of time The second is that cement, water and coarse and fine aggregates are usually only used as control var...

AI Technical Summary

Problems solved by technology

The traditional concrete mix ratio design and optimization method has certain defects in the mix ratio design and optimization: First, the design cycle is long. Due to regional material differences, the tester's mix ratio experience directly affects the design process, which requires a lot of time The second is that cement, water and coarse and fine aggregates are usually only used as control variables in the design of traditional methods, but high-performance concrete with good durability needs to be mixed with mineral admixtures and special admixtures, and the concrete mix design based on experience The method is not applicable; the third is that the performance considered is relatively single, which mainly meets the requirements of mechanical strength and work performance, and lacks the design means and systematic testing and verification methods for durability performance requirements such as anti-permeability and crack resistance, which leads to the traditional methods. The durability of concrete structures is not guaranteed

Due to the lack of design and testing methods for the construction, mechanical properties and durability of machine-made sand concrete, it is difficult to verify the actual working state of machine-made sand concrete used on C50T beams. In addition, the material properties of machine-made sand itself have a significant impact on the quality of concrete, while traditional Therefore, it is of great practical value to design a comprehensive and easy-to-operate machine-made sand mix ratio design.

Images