A method for predicting the downward deflection risk of continuous rigid frame bridges

A prediction method and risk technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of inability to accurately obtain failure probability, lack of risk loss, large estimated workload, etc., to improve pre-control capabilities and The effect of emergency response level, small evaluation workload and high accuracy

Active Publication Date: 2018-12-28
RES INST OF HIGHWAY MINIST OF TRANSPORT
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the existing continuous rigid frame bridge deflection risk assessment method in the prior art, either cannot accurately obtain the failure probability and lack the estimation of the risk loss, and the workload is relatively large, or it is not compatible with the actual engineering deflection. The corresponding relationship between risk probability and the above-mentioned deficiencies that are greatly affected by the level of expert experience provide a method for predicting the deflection risk of continuous rigid frame bridges

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 for predicting the downward deflection risk of continuous rigid frame bridges
  • A method for predicting the downward deflection risk of continuous rigid frame bridges
  • A method for predicting the downward deflection risk of continuous rigid frame bridges

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0042] Such as Figure 1-4 As shown, a method for predicting the deflection risk of a continuous rigid frame bridge according to the present invention comprises the following steps:

[0043] S1. Collect statistical data and case data of continuous rigid-frame bridge deflection events. Through statistical analysis of previous national inspection reports, relevant documents on deflection, and reinforcement design reports participated by participating units, 72 continuous rigid-frame bridges at home and abroad were collected. A total of 121 downward deflection observation data of the bridge structure;

[0044] S2. Carry out inversion research on the continuous rigid frame deflection event with detailed data based on the fault tree, and draw the risk scene diagram of the continuous rigid frame bridge deflection, as shown in figure 2 shown;

[0045] S3, carry out correlation analysis to 121 pieces of deflection data of 72 bridges;

[0046] Based on these 121 observations, the a...

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 method for predicting downward deflection risk of a continuous rigid frame bridge beam, which comprises the following steps of: downward deflection event data of the continuous rigid frame bridge beam is collected; S2, the downward deflection risk scenario of continuous rigid frame is obtained by inversion based on the fault tree; S3 cluster analysis is carried out with annual deflection-span ratio as classification index, which was divided into four types: stable deterioration, fast deterioration, fast deterioration and extremely fast deterioration; S4, the mean value and standard deviation of the annual torsion-span ratio of each downward torsion type are calculated; S5, the evolution rule of the ratio of deflection to span with the bridge age is obtained; S6 according to the clustering analysis of annual deflection-span ratio and its evolution rule with bridge age, various kinds of downward deflection models are established and the hypothesis test is performed to obtain the distribution types of all kinds of downward torsion models satisfy normal distribution; S7, the probability model of occurrence of downward deflection risk and the probability modelof risk loss are established; S8, the probability model of deflection risk occurrence and the probability model of risk loss of continuous rigid frame bridges to be predicted are obtained, and the number of deaths and economic losses of various risk losses are calculated.

Description

technical field [0001] The invention relates to the technical field of bridges, in particular to a method for predicting the deflection risk of a continuous rigid frame bridge. Background technique [0002] At present, many scholars have conducted related research on the deflection problem of continuous rigid frame bridges. Wang Peijin et al. discussed the deflection prediction method for the long-term deflection of long-span prestressed continuous rigid frame bridges; Zhao Yu et al. analyzed the prestressed beam bridge based on crack statistics. Stiffness reduction method and structural evaluation method; Xu Zhen et al. analyzed and calculated the parameters affecting the deflection of continuous rigid frame bridges; Wu Xiaoping analyzed the long-term deflection of girder bridges from the perspective of analyzing the structural curvature k to deduce the section M-K relationship; He Shuanhai et al. The "long-term deflection coefficient correction parameter" obtained by compa...

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
IPC IPC(8): G06F17/50
CPCG06F30/13G06F30/20
Inventor 王玉倩毛燕杨昀张科超
Owner RES INST OF HIGHWAY MINIST OF TRANSPORT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products