Modification scheme decision-making system and method for bituminous pavement

Abstract

The invention relates to a modification scheme decision-making system and method for a bituminous pavement, and belongs to the field of pavement maintenance technologies. According to the system, based on a B/S structure, a pavement structure strength index (PSSI), a pavement riding quality index (RQI), a pavement crack index (PCI) and a pavement rut depth index (RDI) serve as control indexes, a rut depth (RD), a friction coefficient (SFC), a crack rate (CR) and a functional damage rate (FDR) serve as single-value triggering indexes, a negative index model, a modification S model and a structure behavior model are adopted for the system, a user can designate model parameters according to needs to achieve different prediction effects, maintenance history and performance index prediction are combined to be analyzed, and detection data of the pavement over the years are uniformly stored in a lane-division mode. The minimum length unit for evaluating the performance of the pavement is 200 m, in this way, the resolution ratio of original state evaluation of the pavement is increased, a basis is provided for refining a maintenance design, and the function of displaying path, region and road segment basic information is achieved.

Description

technical field [0001] The invention belongs to the technical field of pavement maintenance, and in particular relates to a decision-making system and method for an asphalt pavement reconstruction scheme. Background technique [0002] The highway has a long time course from survey, design, construction to use, and it is a systematic project; as the continuation and development of construction, the reconstruction plan plays an important role in guaranteeing the function of the highway; especially after entering the operation stage, timely It is very important to effectively maintain the road network, ensure the integrity of the road surface and good service functions, and control the maintenance cost; at present, a large number of roads in my country have reached or are approaching their life span, and road maintenance and repair will enter the peak period, and the transformation and maintenance work It will gradually replace basic construction as the focus of asphalt pavement ...

AI Technical Summary

Problems solved by technology

[0007] The current domestic pavement maintenance system seldom combines maintenance history with performance index prediction for analysis. Under the preventive maintenance system, highways will undergo frequent and short-term maintenance, so the performance indicators reflected by the test data will not have long-term performance. The characteristics of time, if simple regression analysis is performed without considering the maintenance history, the results obtained will be inaccurate; in addition, combining historical detection data will also make the predicted results more accurate, because the hydrology and other natural conditions of each road section They are not exactly the same, so the predicted performance indicators should be different. Fitting according to the historical detection data after the last maintenance, and selecting the appropr

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