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Pavement structural strength forecasting method

A pavement structure and strength prediction technology, which is applied to roads, roads, measuring devices, etc., can solve problems such as inaccurate data and uncertain prediction results, and achieve the effects of strong reliability, improved pavement detection efficiency, and reduced pavement detection costs

Inactive Publication Date: 2010-01-20
赵怀志
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Problems solved by technology

[0005] In view of this, the present invention is to provide a method for predicting road surface structural strength to solve the above-mentioned problem of inaccurate data and inability to determine road maintenance when predicting road surface strength PSSI through the detection data of road surface deflection.

Method used

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Embodiment Construction

[0034] In order to clearly illustrate the solutions in the present invention, preferred embodiments are given below and detailed descriptions are given in conjunction with the accompanying drawings.

[0035] see figure 1 , figure 1 It is a flowchart of an embodiment of the present invention, including:

[0036] Step 1: Sampling inspection of the selected road sections, by detecting the damage rate and road surface deflection data of each sampled road section, obtain the road surface quality level, and arrange them in order according to the road surface quality level, and obtain the corresponding groups of road surface conditions for each sampled road section Index PCI and Pavement Structural Strength Index PSSI;

[0037] In the embodiment of the present invention, the selected road section can be sampled and detected in advance, and the length can be set to be less than 1 kilometer, and the road surface deflection data of each road section can be detected to measure the PSSI...

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Abstract

The invention discloses a pavement structural strength forecasting method which comprises the following steps: obtaining a pavement quality grade through detecting pavement damage and pavement deflection data of each sampling road section, arranging according to a sequence of the pavement quality grade and obtaining each group of pavement condition indexes PCI and pavement structural strength indexes PSSI corresponding to each sampling road section; respectively computing PCI and PSSI moving average values from the PCI and PSSI values of each sampling road section; obtaining a PSSI gradient value through each group of moving average values and obtaining an interval value of two PCIs when the PSSI gradient value is changed correspondingly to the PCIs; forecasting an interval value of two corresponding PSSIs through the interval value of the two PCIs and obtaining a corresponding diagram of the PCI value and the PSSI value; measuring the PCI value of a to-be-detected pavement and obtaining the PSSI value of the to-be-detected pavement through the corresponding diagram. The invention has accurate detection, reduces the detection cost and improves the highway maintenance efficiency.

Description

technical field [0001] The invention relates to the technical field of road engineering detection, in particular to a method for predicting road surface structural strength. Background technique [0002] In the early stage of highway maintenance, the pavement structural strength of the highway will be predicted first, and then a suitable maintenance plan will be selected after predicting the pavement structural strength of the highway in each section. [0003] At present, according to the nature of road maintenance, the maintenance properties of asphalt pavement are divided into three types: minor repair, medium repair and major repair. These three types of pavement maintenance activities are very different in terms of maintenance effect, maintenance cost and maintenance plan arrangement. In pavement maintenance decision-making, the pavement structural strength index (PSSI, pavement index) is generally determined based on the pavement condition index (PCI, Pavement conditio...

Claims

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Application Information

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IPC IPC(8): E01C23/00E01C23/01G01B21/30G01N33/42
Inventor 赵怀志程珊珊
Owner 赵怀志
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