CN117009754A - Safety early warning monitoring method for upper existing bridge pile foundation during underpass tunnel construction - Google Patents
Safety early warning monitoring method for upper existing bridge pile foundation during underpass tunnel construction Download PDFInfo
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- CN117009754A CN117009754A CN202311217379.7A CN202311217379A CN117009754A CN 117009754 A CN117009754 A CN 117009754A CN 202311217379 A CN202311217379 A CN 202311217379A CN 117009754 A CN117009754 A CN 117009754A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000010276 construction Methods 0.000 title claims abstract description 19
- 238000006073 displacement reaction Methods 0.000 claims description 14
- 238000004062 sedimentation Methods 0.000 claims description 14
- 238000005259 measurement Methods 0.000 claims description 12
- 238000012300 Sequence Analysis Methods 0.000 claims description 9
- 238000010586 diagram Methods 0.000 claims description 9
- 238000005457 optimization Methods 0.000 claims description 9
- 238000007405 data analysis Methods 0.000 claims description 8
- 238000012876 topography Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 5
- 238000009434 installation Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000003014 reinforcing effect Effects 0.000 claims description 3
- 230000001932 seasonal effect Effects 0.000 claims description 3
- 239000002689 soil Substances 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
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- G06F18/15—Statistical pre-processing, e.g. techniques for normalisation or restoring missing data
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C9/00—Measuring inclination, e.g. by clinometers, by levels
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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Abstract
The invention discloses a safety early warning monitoring method for an upper existing bridge pile foundation during the construction period of a downward-penetrating tunnel, which is suitable for the field of tunnel construction and comprises the steps of making a monitoring scheme, installing monitoring points, acquiring and acquiring monitoring data, setting early warning values, analyzing the data to obtain predicted values and realizing early warning; the safety early warning and monitoring method for the upper existing bridge pile foundation in the construction period of the underpass tunnel has the advantages of timely early warning, high safety, good economy, high automation degree, complete data record and the like.
Description
Technical Field
The invention relates to a safety early warning monitoring method, in particular to a safety early warning monitoring method for an upper existing bridge pile foundation during the construction period of a underpass tunnel.
Background
The influence of tunnel construction on the existing bridge is always one of the research hotspots in the traffic engineering field. In the construction process of the underpass tunnel, a great amount of soil displacement and deformation can be caused by underground excavation activities, and the deformation can cause non-negligible influence on the pile foundation of the existing bridge at the upper part, so that the stability and the safety of the bridge structure are endangered. The influence of the underpass tunnel on the existing pile foundation is mainly concentrated on three aspects of settlement, pier inclination and earthquake correspondence. In terms of sedimentation, displacement and deformation of an underground soil body caused by the construction of a downward tunnel can cause sedimentation of an upper bridge, so that the stability and safety of a bridge structure are affected; in terms of pier inclination, the underpass tunnel construction can also cause pier inclination of the upper bridge, thereby adversely affecting the bearing capacity of the upper bridge; in the aspect of earthquake response, the construction of the underpass tunnel can influence the natural vibration characteristics of the bridge, and further can influence the shock resistance of the bridge. Therefore, it is very important to develop a safety early warning monitoring method for the upper existing bridge pile foundation during the construction of the underpass tunnel.
Disclosure of Invention
The invention aims to provide a safety early warning and monitoring method for an upper existing bridge pile foundation during the construction period of a downward-penetrating tunnel, which has the advantages of timely early warning, high safety, good economy, high automation degree, complete data record and the like.
The aim of the invention can be achieved by adopting the following technical scheme:
s101, a monitoring scheme is formulated: the method comprises the steps of establishing a monitoring scheme, wherein the monitoring scheme comprises the steps of planning monitoring points, selecting and arranging monitoring instruments, establishing monitoring frequency, acquiring and analyzing data, setting early warning values and planning an early warning scheme according to structural characteristics of an upper bridge and topography address condition factors;
s102, monitoring point location installation: the installation of the monitoring points comprises the step of installing the monitoring points according to the planning of the monitoring points in the monitoring scheme, wherein the planning principle of the monitoring points meets the requirements of relevant specifications, meanwhile, the monitoring points are concentrated on the settlement measurement and the inclination measurement of the existing pile foundation, and the monitoring points are divided into two types, namely a settlement measurement point and an inclination measurement point;
s103, acquisition and acquisition of monitoring data: the monitoring data acquisition comprises the step of carrying out data acquisition work by utilizing the installed monitoring point positions, and the step of transmitting the data to a data storage center in a wireless mode after the data acquisition is completed, wherein the data processing center backs up and stores the transmitted data for subsequent analysis and evaluation;
s104, setting an early warning value: the setting of the early warning value comprises setting the early warning value according to the topography and geological conditions of the existing pile foundation penetrated under the tunnel, wherein the early warning value comprises a sedimentation rate early warning value and a total sedimentation displacement early warning value, the value range of the sedimentation rate early warning value is 0.2-0.8 mm/d, the value range of the total sedimentation displacement early warning value is 3-20 mm, and the selection of the early warning value also needs to meet the requirements of related specifications;
s105, data analysis to obtain a predicted value: the data analysis is performed to obtain a predicted value, the data analysis comprises the steps of obtaining historical monitoring data of each monitoring point location through a data processing center, inputting the historical monitoring data of each point location into a plurality of prediction models to obtain the predicted value, wherein one corresponding prediction model exists for each monitoring point location, and the corresponding prediction model is established by the following steps: a) preparing data, preparing monitoring data of the point, arranging the monitoring data into a time-displacement form, interpolating a missing value, wherein the interpolation method is a mean interpolation method, b) carrying out time sequence analysis on the time-displacement data, wherein the time sequence analysis method is a time sequence diagram, an autocorrelation diagram and a partial autocorrelation diagram, finally determining a differential order and a seasonal period required by a model, c) fitting a model, selecting model parameters according to the time sequence analysis structure, carrying out parameter estimation and model fitting, wherein the parameters are an autoregressive term, a differential order and a moving average term, the value range of the autoregressive term and the moving average order is 0-10, the differential order is determined according to the differential order of the time sequence data, an optimal parameter combination is required to be determined after an initial parameter value is determined, d) carrying out diagnosis optimization on model effects by adopting a grid search method, and e) finally obtaining an optimized model by adopting a model after optimization, and finally carrying out prediction work model after optimization;
s106, early warning is realized: the method comprises the steps of realizing early warning, including comparing a predicted value with an early warning value, sending out early warning if the change of the predicted value exceeds the requirement of the early warning value, and taking measures, including reinforcing pile foundations and setting supporting structures to reduce bridge deformation.
The beneficial effects of the invention are as follows:
compared with the prior art, the method for monitoring the safety early warning of the upper existing bridge pile foundation during the construction of the underpass tunnel has the advantages of timely early warning, high safety, good economy, high automation degree, complete data record and the like.
Drawings
Fig. 1: the invention relates to a flow chart of a safety early warning monitoring method for an upper existing bridge pile foundation during the construction period of a underpass tunnel.
Detailed Description
For a clearer understanding of the technical features, objects and effects of the present invention, a specific embodiment of the present invention will be described with reference to the accompanying drawings.
As shown in fig. 1, the present invention provides a flow chart of a safety early warning monitoring method for an upper existing bridge pile foundation during the construction of a underpass tunnel, and the flow chart comprises the following contents.
S101, a monitoring scheme is formulated: the method comprises the steps of establishing a monitoring scheme, wherein the monitoring scheme comprises the steps of planning monitoring points, selecting and arranging monitoring instruments, establishing monitoring frequency, acquiring and analyzing data, setting early warning values and planning an early warning scheme according to structural characteristics of an upper bridge and topography address condition factors;
s102, monitoring point location installation: the installation of the monitoring points comprises the step of installing the monitoring points according to the planning of the monitoring points in the monitoring scheme, wherein the planning principle of the monitoring points meets the requirements of relevant specifications, meanwhile, the monitoring points are concentrated on the settlement measurement and the inclination measurement of the existing pile foundation, and the monitoring points are divided into two types, namely a settlement measurement point and an inclination measurement point;
s103, acquisition and acquisition of monitoring data: the monitoring data acquisition comprises the step of carrying out data acquisition work by utilizing the installed monitoring point positions, and the step of transmitting the data to a data storage center in a wireless mode after the data acquisition is completed, wherein the data processing center backs up and stores the transmitted data for subsequent analysis and evaluation;
s104, setting an early warning value: the setting of the early warning value comprises setting the early warning value according to the topography and geological conditions of the existing pile foundation penetrated under the tunnel, wherein the early warning value comprises a sedimentation rate early warning value and a total sedimentation displacement early warning value, the value range of the sedimentation rate early warning value is 0.2-0.8 mm/d, the value range of the total sedimentation displacement early warning value is 3-20 mm, and the selection of the early warning value also needs to meet the requirements of related specifications;
s105, data analysis to obtain a predicted value: the data analysis is performed to obtain a predicted value, the data analysis comprises the steps of obtaining historical monitoring data of each monitoring point location through a data processing center, inputting the historical monitoring data of each point location into a plurality of prediction models to obtain the predicted value, wherein one corresponding prediction model exists for each monitoring point location, and the corresponding prediction model is established by the following steps: a) preparing data, preparing monitoring data of the point, arranging the monitoring data into a time-displacement form, interpolating a missing value, wherein the interpolation method is a mean interpolation method, b) carrying out time sequence analysis on the time-displacement data, wherein the time sequence analysis method is a time sequence diagram, an autocorrelation diagram and a partial autocorrelation diagram, finally determining a differential order and a seasonal period required by a model, c) fitting a model, selecting model parameters according to the time sequence analysis structure, carrying out parameter estimation and model fitting, wherein the parameters are an autoregressive term, a differential order and a moving average term, the value range of the autoregressive term and the moving average order is 0-10, the differential order is determined according to the differential order of the time sequence data, an optimal parameter combination is required to be determined after an initial parameter value is determined, d) carrying out diagnosis optimization on model effects by adopting a grid search method, and e) finally obtaining an optimized model by adopting a model after optimization, and finally carrying out prediction work model after optimization;
s106, early warning is realized: the method comprises the steps of realizing early warning, including comparing a predicted value with an early warning value, sending out early warning if the change of the predicted value exceeds the requirement of the early warning value, and taking measures, including reinforcing pile foundations and setting supporting structures to reduce bridge deformation.
In the embodiment, the invention discloses a safety early warning monitoring method for an upper existing bridge pile foundation during the construction period of a downward-penetrating tunnel, which comprises the steps of making a monitoring scheme, installing monitoring points, acquiring and acquiring monitoring data, setting early warning values, analyzing the data to obtain predicted values and realizing early warning; the safety early warning and monitoring method for the upper existing bridge pile foundation in the construction period of the underpass tunnel has the advantages of timely early warning, high safety, good economy, high automation degree, complete data record and the like.
The foregoing is illustrative of the present invention and is not to be construed as limiting the scope of the invention. Any equivalent changes and modifications can be made by those skilled in the art without departing from the spirit and principles of this invention, and are intended to be within the scope of this invention.
Claims (1)
1. A safety early warning monitoring method for an upper existing bridge pile foundation during the construction period of a underpass tunnel is characterized by comprising the following steps:
1) Making a monitoring scheme;
2) Installing monitoring points;
3) Collecting and acquiring monitoring data;
4) Setting an early warning value;
5) Analyzing the data to obtain a predicted value;
6) Realizing early warning;
the method comprises the steps of establishing a monitoring scheme, wherein the monitoring scheme comprises the steps of planning monitoring points, selecting and arranging monitoring instruments, establishing monitoring frequency, acquiring and analyzing data, setting early warning values and planning an early warning scheme according to structural characteristics of an upper bridge and topography and geological condition factors;
the installation of the monitoring points comprises the step of installing the monitoring points according to the planning of the monitoring points in the monitoring scheme, wherein the planning principle of the monitoring points meets the requirements of relevant specifications, meanwhile, the monitoring points are concentrated on the settlement measurement and the inclination measurement of the existing pile foundation, and the monitoring points are divided into two types, namely a settlement measurement point and an inclination measurement point;
the monitoring data acquisition comprises the step of carrying out data acquisition work by utilizing the installed monitoring point positions, and the step of transmitting the data to a data storage center in a wireless mode after the data acquisition is completed, wherein the data processing center backs up and stores the transmitted data for subsequent analysis and evaluation;
the setting of the early warning value comprises setting the early warning value according to the topography and geological conditions of the existing pile foundation penetrated under the tunnel, wherein the early warning value comprises a sedimentation rate early warning value and a total sedimentation displacement early warning value, the value range of the sedimentation rate early warning value is 0.2-0.8 mm/d, the value range of the total sedimentation displacement early warning value is 3-20 mm, and the selection of the early warning value also needs to meet the requirements of related specifications;
the data analysis is performed to obtain a predicted value, the data analysis comprises the steps of obtaining historical monitoring data of each monitoring point location through a data processing center, inputting the historical monitoring data of each point location into a plurality of prediction models to obtain the predicted value, wherein one corresponding prediction model exists for each monitoring point location, and the corresponding prediction model is established by the following steps: a) preparing data, preparing monitoring data of the point, arranging the monitoring data into a time-displacement form, interpolating a missing value, wherein the interpolation method is a mean interpolation method, b) carrying out time sequence analysis on the time-displacement data, wherein the time sequence analysis method is a time sequence diagram, an autocorrelation diagram and a partial autocorrelation diagram, finally determining a differential order and a seasonal period required by a model, c) fitting a model, selecting model parameters according to the time sequence analysis structure, carrying out parameter estimation and model fitting, wherein the parameters are an autoregressive term, a differential order and a moving average term, the value range of the autoregressive term and the moving average order is 0-10, the differential order is determined according to the differential order of the time sequence data, an optimal parameter combination is required to be determined after an initial parameter value is determined, d) carrying out diagnosis optimization on model effects by adopting a grid search method, and e) finally obtaining an optimized model by adopting a model after optimization, and finally carrying out prediction work model after optimization;
the method comprises the steps of realizing early warning, including comparing a predicted value with an early warning value, sending out early warning if the change of the predicted value exceeds the requirement of the early warning value, and taking measures, including reinforcing pile foundations and setting supporting structures to reduce bridge deformation.
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Patent Citations (5)
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