Mechanical property prediction method of cemented filling material

A technology for cementing filling materials and performance prediction, which is applied in prediction, biological neural network model, data processing application, etc., to achieve the effect of simple operation process, reliable results and low cost

Inactive Publication Date: 2015-08-05
CHINA UNIV OF MINING & TECH
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Problems solved by technology

[0003] The purpose of the present invention is to provide a simple and accurate method for predicting the mechanical prope

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  • Mechanical property prediction method of cemented filling material
  • Mechanical property prediction method of cemented filling material
  • Mechanical property prediction method of cemented filling material

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Embodiment 1

[0019] Embodiment 1: The prediction method is based on the BP neural network that introduces additional momentum method and adaptive learning rate improvement, trains and tests the network through the sample data obtained through laboratory experiments, and then inputs the conditions that need to be predicted to obtain the corresponding Mechanical property value; specifically include the following steps:

[0020] a. For the factors affecting the mechanical properties of cemented filling materials, the cemented filling materials are the concentration of slurry, the amount of fly ash, the amount of lime slag and the amount of cement; laboratory experiments are carried out with different ratios to obtain the filling under different ratios of influencing factors Material mechanical property value, described influencing factor is slump, bleeding rate and the compressive strength of each age; Obtain training sample and test sample; Each proportioning value of mechanical property valu...

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Abstract

The invention relates to a mechanical property prediction method of a filling material for filling mining, especially to a mechanical property prediction method of a cemented filling material. On the basis of an improved BP neural network and an existing data sample, a mechanical property of a matching material that has not been tested can be predicted. The method comprises the following steps that: mechanical property influence factors of a cemented filling material are selected as input layer nodes, wherein the factors include slurry concentration and a dry material proportion and the like; mechanical property indexes needing prediction are selected as output layer nodes, wherein the mechanical property indexes contain a slump, a bleeding rate, and compressive strengths at different ages and the like; mechanical property values of different matching materials are tested and obtained data are used as training samples and test samples; input and output vectors are determined, a BP neural network that is improved by introducing an additional momentum method and an adaptive learning rate is constructed, and the network is trained and tested; and a condition needing prediction is inputted, thereby outputting a corresponding mechanical property value. According to the prediction method, the efficiency is high, the result is precise, and the cost is low; and demands of production and practice activities can be satisfied.

Description

technical field [0001] The invention relates to a method for predicting the mechanical properties of a filling material for coal mining, in particular to a method for predicting the mechanical properties of a cemented filling material. Background technique [0002] With the development of coal mining technology, "green mining" has become an inevitable trend in the future, and filling coal mining technology is an important way to realize green mining. There are many filling coal mining technologies, among which the cemented filling mining technology uses mine gangue and fly ash as the main filling materials. Under the action of the cementing material, it is mixed according to a certain proportion to make a slurry that does not need dehydration treatment. The mining method is that the pipeline is transported to the underground and the goaf is filled in time. The cemented backfill material is the core of the cemented backfill coal mining technology, and material properties suc...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06N3/02
Inventor 邓雪杰张吉雄李百宜安百富康涛
Owner CHINA UNIV OF MINING & TECH
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