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Marshal test piece stability and flow value test method

A technology of Marshall test piece and testing method, which is applied in the direction of neural learning method, biological neural network model, input/output to record carrier, etc., can solve the problems of BP neural network model defects, long test period, and occupied equipment, etc., and achieve improvement The efficiency of the test, the effect of saving materials and avoiding waste

Inactive Publication Date: 2018-10-23
CHANGAN UNIV
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Problems solved by technology

[0004] The purpose of the invention is to provide a test method for the stability and flow value of an asphalt mixture Marshall test piece, which solves the problems of occupying instruments, long test period, waste of materials and defects of the current BP neural network model in the prior art

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  • Marshal test piece stability and flow value test method
  • Marshal test piece stability and flow value test method
  • Marshal test piece stability and flow value test method

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specific Embodiment

[0075] Step 1. Select test samples

[0076] The AC-20 asphalt mixture Marshall specimen was selected as the experimental sample, and the physical indexes and volume parameters of the sample are shown in Table 1:

[0077] Table 1 AC-20 Asphalt Mixture Marshall Specimen Volume Parameters-Physical Index

[0078]

[0079] Step 2. Data preprocessing

[0080] The data shows that the stability of specimen 5-3 is 7.84KN, which is quite different from the stability of specimens 5-1 and 5-2 in the same group, so this data is considered to be an abnormal value. The mean value of the stability of 5-2 is replaced.

[0081] Because the composite gross volume relative density of the Marshall specimen γ sb Both are 2817, so delete this factor. Considering comprehensively, the input layer parameters are determined as the asphalt ratio, asphalt content, air weight m a , weight in water m w , surface dry weight m f , water absorption S a , gross volume relative density γ f , the theo...

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Abstract

The invention discloses a Marshal test piece stability and flow value test method. The method comprises the steps of selecting asphalt Marshal test pieces as a sample population, and recording volumeparameters and physical indexes of samples; removing abnormal values in data, performing normalization, and judging data correlation; selecting the data serving as a neural network training set and atest set; building BP and RBF neural network models; training the built neural network models by using the training set; simulating test set data by using the trained neural network model, performingprediction for multiple times continuously, and taking an average value as a final result; obtaining a relative error and a determination coefficient of a predicted numerical value; and finally, selecting and using the model according to the determination coefficient. By utilizing the built neural network model, the flow values and stability of the Marshal test pieces can be calculated out efficiently and accurately, so that the damage of a loading device to the Marshal test pieces is avoided, materials are saved, the test efficiency is greatly improved on the premise of ensuring the accuracy,and the possible danger in a test process is avoided.

Description

technical field [0001] The invention belongs to the technical field of road engineering and relates to a method for testing the stability and flow value of a Marshall test piece. Background technique [0002] In recent years, artificial intelligence technology is ushering in the third upsurge of development, among which the commonly used artificial neural network technology is also receiving more and more attention in different professional fields. Neural network technology has achieved good results in currency and financial stock analysis, but its application in road engineering is relatively seldom. Because the Marshall test is simple and convenient to operate, it is used as the main method for the design of densely graded asphalt mixture in my country, and it is also an important basis for determining the design asphalt ratio of asphalt mixture. Usually after the Marshall test is done, the loaded test piece cannot be recycled, but discarded as waste, resulting in a waste...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/08
CPCG06F3/08G06N3/084
Inventor 董仕豪丁龙亭何璐黄可姚杨宜田中男
Owner CHANGAN UNIV
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