Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method and system for subgrade compaction quality detection based on modal parameter identification

A technology for modal parameter identification and compaction quality, applied in roads, roads, road repairs, etc., can solve problems such as few sampling points, overvoltage or undervoltage, not strict intelligent compaction technology, etc., to improve quality and efficiency , to avoid the effect of overvoltage or undervoltage

Active Publication Date: 2021-01-01
SHANDONG UNIV +1
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional compaction quality detection method belongs to the point control method, including deflection method, bearing plate method, nuclear density meter method, etc. These methods have certain shortcomings: time-consuming and labor-intensive, with few sampling points, it is difficult to reflect the compaction quality of each point ;It is impossible to give real-time feedback on the compaction quality during the road compaction process, and it is easy to cause overvoltage or undervoltage
However, this method is only a real-time monitoring of the construction process, that is, digital (information) construction, and it is not a strict intelligent compaction technology, and cannot judge the quality of subgrade compaction in real time.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and system for subgrade compaction quality detection based on modal parameter identification
  • A method and system for subgrade compaction quality detection based on modal parameter identification
  • A method and system for subgrade compaction quality detection based on modal parameter identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] The present disclosure provides a roadbed compaction quality detection method based on modal parameter identification, including:

[0049] Step 1: Collect the position information and vibration signal during the compaction operation of the road roller, and filter the vibration signal to filter the interference signal;

[0050] In said step 1, the position information and the vibration signal at the steel wheel during the operation of the road roller are collected through the GPS positioning device and the vibration signal sensor installed on the road roller; wherein, the location information is consistent with the collection frequency of the vibration signal, so that the position One-to-one correspondence between data and vibration signals;

[0051] The vibration response signal includes system excitation components and system intrinsic attribute components, so it is necessary to filter the vibration response signal, including filtering the simple harmonic excitation fr...

Embodiment 2

[0090] The present disclosure provides a subgrade compaction quality detection system based on modal parameter identification, including:

[0091] A signal acquisition module, which is used to obtain position information and vibration signals during the compaction operation of the road roller, perform filtering processing on the vibration signals, perform frequency domain analysis on the filtered vibration signals, and obtain frequency domain signals;

[0092] A signal identification module, which is used to identify the system parameters of the roller-soil vibration system in the frequency domain signal by using the modal parameter identification method to obtain the natural frequency of the system;

[0093] The compaction quality detection module is used to determine the change in the stiffness of the roller-soil vibration system through the change in the natural frequency of the roller-soil vibration system, and determine the change in the compaction quality of the compacted...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a roadbed compaction quality detection method and system based on modal parameter identification, and the method comprises the steps: obtaining position information and a vibration signal in a compaction operation process of a road roller, carrying out the frequency domain analysis, and obtaining a frequency domain signal; identifying the system inherent frequency of the road roller-soil body vibration system in the frequency domain signal through a modal parameter identification method, judging the change of the rigidity of the road roller-soil body vibration system through the change of the system inherent frequency of the road roller-soil body vibration system, and judging the change of the compaction quality of the compacted body through the change of the systemrigidity of the road roller-soil body vibration system. Continuous, accurate and real-time compactness detection is carried out on the roadbed, the compactness quality of each point is effectively reflected, and the roadbed compactness quality is truly judged.

Description

technical field [0001] The present disclosure relates to the technical field of road construction, in particular to a method and system for detecting roadbed compaction quality based on modal parameter identification. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] In highway engineering, subgrade compaction is very important to the quality of road construction. The traditional compaction quality detection method belongs to the point control method, including deflection method, bearing plate method, nuclear density meter method, etc. These methods have certain shortcomings: time-consuming and labor-intensive, with few sampling points, it is difficult to reflect the compaction quality of each point ; It is impossible to feed back the compaction quality in real time during the road compaction process, and it is easy to cause overvoltage or...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): E01C19/28G06F30/13G06F30/20G06F111/10
CPCE01C19/288
Inventor 曹卫东吴奇伦刘树堂刘伟周鹏飞
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com