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Roadbed soil dynamic rebound modulus predicting system and method

A dynamic elastic modulus, subgrade soil technology, applied in biological neural network models, testing material hardness, etc., can solve the problem of few prediction systems and methods, and achieve fast calculation, high precision, and high degree of automation. Effect

Active Publication Date: 2014-11-12
SHANXI PROVINCIAL RES INST OF COMM +1
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Problems solved by technology

The asphalt pavement design specification that is being revised in my country has adopted the dynamic rebound modulus parameter of subgrade soil as a new index of subgrade soil strength, but there are few corresponding estimation systems and methods

Method used

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  • Roadbed soil dynamic rebound modulus predicting system and method
  • Roadbed soil dynamic rebound modulus predicting system and method
  • Roadbed soil dynamic rebound modulus predicting system and method

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Embodiment 1

[0022] A system for estimating the dynamic modulus of resilience of subgrade soil, the system includes a soil sampler, an electronic scale, an oven, a bulk density tester, a combined liquid-plastic limit tester, a triaxial tester, and a computer; the combined liquid-plastic limit The measuring instrument comprises a support 21, an electromagnet 22, a cone instrument 23 with a scale, a sample cup 24, a control switch 25, and a lifting seat 26; the electromagnet 22 is installed in the upper frame of the support 21; the cone with a scale The instrument 23 is adsorbed below the electromagnet 22; the lifting base 26 is installed in the lower frame of the support 21; the sample cup 24 is located on the lifting base 26 and directly below the cone instrument 23 with scale; the control switch 25 is positioned at the lower frame side of support 21.

[0023] A method for predicting the dynamic modulus of resilience of subgrade soil corresponding to the system, the specific steps of the m...

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Abstract

The invention relates to a roadbed soil dynamic rebound modulus predicting system and method. The system comprises a soil sampler, an electronic balance, a drying box, a volume-weight tester, a liquid-plastic limit combined tester, a triaxial experiment instrument and a computer. The liquid-plastic limit combined tester comprises a support, an electromagnet, a cone penetrator with a scaleplate, a sample cup, a control switch and a lifting base, wherein the electromagnet is installed in an upper frame of the support, the cone penetrator with the scaleplate is adsorbed to the portion below the electromagnet, the lifting base is installed in a lower frame of the support, the sample cup is located on the lifting base, and the control switch is located on the side face of the lower frame of the support. Compared with the prior art, the roadbed soil dynamic rebound modulus predicting system and method are based on a radial basis function neural network, selected input indexes have defined meanings, a predicting model is high in automation degree, and the roadbed soil dynamic rebound modulus predicting system has the advantages of being high in calculation speed and accuracy, and suitable for engineering realization.

Description

technical field [0001] The invention belongs to the technical field of road engineering, and in particular relates to a system and method for estimating the dynamic resilience modulus of roadbed soil. Background technique [0002] The modulus of resilience of the subgrade soil is the most important mechanical parameter to characterize the strength of the subgrade, and it is one of the main parameters in the design of the pavement structure. Direct relationship. The mechanical characteristics of the soil foundation are determined by the physical properties of the soil itself, which is a three-phase system composed of solid particles, water and gas. As an engineering material, soil is quite different from other engineering materials in terms of engineering mechanics properties due to the particularity of its internal structure, the most prominent of which is the nonlinear deformation characteristics of soil when it is stressed. The modulus of resilience can better reflect th...

Claims

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Application Information

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IPC IPC(8): G01N3/40G06N3/02
Inventor 张翛申俊敏刘俊华张艳聪王维平朱晓斌刘建伟
Owner SHANXI PROVINCIAL RES INST OF COMM
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