Intelligent recognition method for linear data of ultra-wide and ultra-large-span bridge

A technology for super-long-span bridges and linear data, applied in bridges, bridge construction, bridge materials, etc., can solve problems such as inability to provide reliable reference data, and achieve the effect of improving evaluation accuracy

Active Publication Date: 2021-07-20
CHINA RAILWAY BRIDGE SCI RES INST LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Traditional detection methods are random and limited, and cannot provide reliable reference data

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  • Intelligent recognition method for linear data of ultra-wide and ultra-large-span bridge

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Embodiment Construction

[0052] The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] It should be noted that, in the description of the present invention, terms such as "middle", "upper", "lower", "horizontal", "inner" and other indicated directions or positional relationships are based on the directions or positional relationships shown in the drawings. The positional relationship, which is just for convenience of description, does not indicate or imply that the device or...

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Abstract

The invention provides an intelligent recognition control method for linear data of an ultra-wide and ultra-large-span bridge. The method comprises the steps that state variable data and observation variable data of the bridge are detected in real time, wherein the state variable data comprises a temperature change value, a deflection change value, a bracket deformation value and a finished bridge camber; state variable data and observation variable data in unit time are obtained, and integrity and abnormal data screening is carried out to obtain modeling data; fusion modeling is conducted on the state variable data and the observation variable data; reliability analysis and calculation are carried out on the modeling in combination with bridge foundation engineering parameters, and different control strategies areformulated for control, wherein the control strategies comprise concrete pouring adjustment, perpendicularity construction design and external stress reinforcement design. Reliability analysis and calculation are conducted on modeling in combination with bridge foundation engineering parameters, different control strategies are formulated for control, and the assessment accuracy of the bridge structure reliability can be improved.

Description

technical field [0001] The invention relates to the technical field of bridge data analysis and identification, in particular to an intelligent identification method for linear data of ultra-wide and ultra-long-span bridges. Background technique [0002] During the construction and long-term service of bridges, structural functions are constantly changing and irreversible, resulting in continuous changes in structural reliability. Therefore, evaluating and predicting structural behavior is a key issue in the study of structural time-varying reliability. Traditional detection methods are random and limited, and cannot provide reliable reference data. [0003] Therefore, there is an urgent need for a linear data identification method for ultra-wide and ultra-long-span bridges, which can identify, evaluate, and predict the reliability of bridge structures based on the detected dynamic linear data. Contents of the invention [0004] The present invention provides an intellige...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/50G06K9/62G06Q10/04G06Q50/02G01M99/00G01D21/02G05D23/30E01D1/00E01D21/00E01D101/24
CPCG06T7/50G06Q10/04G06Q50/02G01M99/00G01D21/02G05D23/30E01D1/00E01D21/00G06T2207/10028G06T2207/20024E01D2101/24G06F18/2135G06F18/24323
Inventor 高军钟继卫林晓王波高峰彭旭民罗辉荆国强张远征王翔纪常永肖龙王辉麟李力王正一戴青年钱康高宇馨
Owner CHINA RAILWAY BRIDGE SCI RES INST LTD
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