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Parameter identification method of asphalt viscoelastic model based on comprehensive data optimization criterion

A technology of comprehensive data and model parameters, applied in the fields of electrical digital data processing, design optimization/simulation, special data processing applications, etc., can solve problems such as inability to fully characterize the viscoelastic properties of asphalt

Inactive Publication Date: 2018-11-20
HARBIN INST OF TECH
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Problems solved by technology

[0003] The purpose of the present invention is to solve the technical problem that the model cannot fully characterize the viscoelastic properties of asphalt based on the parameter identification method under the current optimization criterion, and then provide a parameter identification method of the asphalt viscoelastic model based on the comprehensive data optimization criterion

Method used

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  • Parameter identification method of asphalt viscoelastic model based on comprehensive data optimization criterion
  • Parameter identification method of asphalt viscoelastic model based on comprehensive data optimization criterion
  • Parameter identification method of asphalt viscoelastic model based on comprehensive data optimization criterion

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Embodiment 1

[0030] Step 1. Perform dynamic frequency sweep test, static creep test and stress relaxation test on asphalt with dynamic shear rheometer, and collect dynamic modulus |G during the test * |, phase angle δ, creep compliance J and relaxation modulus G and other basic dynamic and static data;

[0031] Step 2, analyze and process the dynamic frequency scanning test data obtained in step 1, establish the viscoelastic function master curve according to the time-temperature equivalent principle, and draw the dynamic modulus master curve (such as figure 1 shown) and phase angle main curve (as figure 2 shown), for the static creep and relaxation test data, the creep compliance-time curve is plotted with time as the abscissa and creep compliance as the ordinate (such as image 3 shown), draw the relaxation modulus-time curve with time as the abscissa and relaxation modulus as the ordinate (such as Figure 4 shown);

[0032] Step 3: Establish the asphalt viscoelastic model, select th...

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Abstract

The invention provides a parameter identification method of an asphalt viscoelastic model based on a comprehensive data optimization criterion and belongs to the technical field of a parameter identification method of an asphalt viscoelastic model. The method comprises a step of carrying out a dynamic frequency scanning test, a static creep test and a stress relaxation test on asphalt by using a dynamic shear rheometer, establishing a dynamic modulus main curve and a phase angle main curve based on the test data, and drawing a creep compliance-time curve and a relaxation modulus-time curve, astep of establishing the asphalt viscoelastic model and deriving an expression of each viscoelastic parameter, which is a fitting value of the model, and a step of identifying model parameters according to the comprehensive data optimization criterion, thus modifying the model parameters, and taking a set of parameters corresponding to a smallest sum-of-squared differences to be parameter values in a final model. According to the method, the dynamic and static viscoelastic properties of the asphalt are comprehensively considered, and the method has important significance for the comprehensivecharacterization of the viscoelastic performance of an asphalt material by the model and the design and maintenance of an asphalt pavement.

Description

technical field [0001] The invention relates to a parameter identification method of an asphalt viscoelastic model based on a comprehensive data optimization criterion, and belongs to the technical field of parameter identification methods of an asphalt viscoelastic model. Background technique [0002] The viscoelastic response model is widely used to characterize the viscoelastic properties of asphalt. The parameter identification of the viscoelastic model mainly depends on the optimization criterion, and the parameter identification methods based on different optimization criteria have significant differences in the representation ability of the model. At present, researchers mostly use a single dynamic or static viscoelastic data as an optimization criterion to identify model parameters, resulting in the model only describing a single aspect of the viscoelastic properties of asphalt, and cannot fully reflect the viscoelastic properties of asphalt. Therefore, based on the...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 单丽岩徐亚男田霜
Owner HARBIN INST OF TECH
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