CN116223078A - Super bridge stability evaluation method, device, equipment and readable storage medium - Google Patents
Super bridge stability evaluation method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The invention provides a stability evaluation method, a device, equipment and a readable storage medium for an extra-large bridge, and relates to the technical field of bridges, wherein the method comprises the steps of obtaining the preset depth of at least two stability evaluation points and the temperature information acquired by two temperature sensor groups of an extra-large bridge scale model in preset temperature loading time, and calculating according to the preset depth of each stability evaluation point, the temperature information of a first temperature sensor group and a preset theoretical temperature formula to obtain the temperature theoretical value of each stability evaluation point; calculating according to each temperature theoretical value and the temperature detection value acquired by the corresponding second temperature sensor group to obtain a first characteristic value of each stability evaluation point; and evaluating the stability of the super bridge according to the numerical value of each first characteristic value. The invention realizes the stability evaluation of the extra-large bridge by accurately restoring the natural temperature environment of the extra-large bridge based on the extra-large bridge scale model, and provides guidance for engineering design.
Description
Technical Field
The invention relates to the technical field of bridges, in particular to a method, a device and equipment for evaluating stability of an extra large bridge and a readable storage medium.
Background
In recent years, along with the continuous development of high-speed railways in China, more and more high-speed railways need to span large rivers and mountain canyons by adopting extra-large-span bridges, and as the high-speed railways are limited by the prior art, ballasted tracks are paved on most extra-large bridges, such as the extra-large bridge of Wuhan Tianxing continent, the Yangtze river bridge of Zhenjiang Wufeng mountain and the like, and further deepened researches on paving ballastless tracks on the extra-large bridges are lacking in the prior art; in addition, since temperature is a key factor affecting stability of the extra-large bridge, quantitative analysis of the stability of the extra-large bridge by the lack of temperature in the prior art is needed, so that an extra-large bridge stability evaluation method is needed, on one hand, research on the extra-large bridge based on ballastless track laying is carried out, and on the other hand, the stability of the whole structure is quantitatively evaluated.
Disclosure of Invention
The invention aims to provide a method, a device, equipment and a readable storage medium for evaluating stability of an extra large bridge, so as to solve the problems. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides a method for evaluating stability of an extra large bridge, the method comprising:
acquiring the preset depth of at least two stability evaluation points and temperature information acquired by two temperature sensor groups of the extra-large bridge scale model within preset temperature loading time, wherein the stability evaluation points are arranged in the extra-large bridge scale model, the first temperature sensor group comprises a first temperature sensor and a second temperature sensor, the first temperature sensor and the second temperature sensor are arranged on the surface of the extra-large bridge scale model, and the second temperature sensor group corresponds to the positions of the stability evaluation points one by one;
calculating according to the preset depth of each stability evaluation point, the temperature information of the first temperature sensor group and a preset theoretical temperature formula to obtain a temperature theoretical value of each stability evaluation point;
calculating according to each temperature theoretical value and the temperature detection value acquired by the corresponding second temperature sensor group to obtain a first characteristic value of each stability evaluation point;
and evaluating the stability of the super bridge according to the numerical value of each first characteristic value.
In a second aspect, the present application further provides an apparatus for evaluating stability of an extra large bridge, the apparatus comprising:
the system comprises an acquisition module, a stability evaluation point acquisition module and a stability evaluation point analysis module, wherein the acquisition module is used for acquiring the preset depth of at least two stability evaluation points and the temperature information acquired by two temperature sensor groups of an oversized bridge scale model in preset temperature loading time, the stability evaluation points are arranged in the oversized bridge scale model, the first temperature sensor group comprises a first temperature sensor and a second temperature sensor, the first temperature sensor and the second temperature sensor are arranged on the surface of the oversized bridge scale model, and the second temperature sensor group corresponds to the positions of the stability evaluation points one by one;
the first processing module is used for calculating according to the preset depth of each stability evaluation point, the temperature information of the first temperature sensor group and a preset theoretical temperature formula to obtain a temperature theoretical value of each stability evaluation point;
the second processing module is used for calculating according to each temperature theoretical value and the temperature detection value acquired by the corresponding second temperature sensor group to obtain a first characteristic value of each stability evaluation point;
and the judging module is used for evaluating the stability of the super bridge according to the numerical value of each first characteristic value.
In a third aspect, the present application further provides an extra large bridge stability evaluation apparatus, including:
a memory for storing a computer program;
and the processor is used for realizing the step of the super bridge stability evaluation method when executing the computer program.
In a fourth aspect, the present application further provides a readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described method for evaluating stability of a super bridge.
The beneficial effects of the invention are as follows:
according to the method, based on the arrangement of the stability evaluation points, the temperature theoretical value of each stability evaluation point is calculated, and then the first characteristic value corresponding to the stability evaluation point is obtained. The invention can be used for researching the extra-large bridge for paving the ballastless track, and quantitatively analyzing the influence of temperature on the stability of the extra-large bridge.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an extra large bridge stability evaluation method according to an embodiment of the invention;
FIG. 2 is a schematic structural diagram of an extra large bridge stability evaluation device according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a third processing module according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a fourth process module according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of an extra large bridge stability evaluation device according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an extra large bridge scale model according to an embodiment of the present invention;
the marks in the figure:
901. an acquisition module; 902. a first processing module; 903. a second processing module; 904. a judging module; 905. a third processing module; 906. a fourth processing module; 9041. a first calculation unit; 9042. a second calculation unit; 9043. a third calculation unit; 9044. a fourth calculation unit; 9045. a first judgment unit; 9051. a first acquisition unit; 9052. a fifth calculation unit; 9053. a sixth calculation unit; 9054. a seventh calculation unit; 90541. an eleventh calculation unit; 90542. a twelfth calculation unit; 90543. a thirteenth calculation unit; 90544. a fourteenth calculation unit; 90545. a second judgment unit; 9061. a second acquisition unit; 9062. an eighth calculation unit; 9063. a ninth calculation unit; 9064. a tenth calculation unit; 90641. a fifteenth calculation unit; 90642. a sixteenth calculation unit; 90643. a seventeenth calculation unit; 90644. an eighteenth calculation unit; 90645. a third judgment unit; 800. an extra large bridge stability evaluation device; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the invention firstly carries out the manufacture of a reduced scale model according to an extra-large bridge paved with ballastless tracks, the model platform can be produced integrally, the size of the model platform is required to be valued according to the test requirement, and the invention specifically comprises the following steps:
the length of the model is as follows: the ratio of the original total length/reduced length of the bridge is +1m-2m;
the width of the model is as follows: the ratio of the original total width/reduced scale of the bridge is +1m-2m;
the height of the model is as follows: the original total height/reduced scale ratio of the bridge is +0.5m-1 m.
As shown in fig. 6, a description will be given briefly taking a large-span cable-stayed bridge as an example, where the large-span cable-stayed bridge includes a pier foundation, a main tower, a main girder, and a stay cable connecting the main girder and the tower column, and the ballastless track structure is laid on the surface of the main girder, and the types of the ballastless track structure can be laid in different types according to test requirements.
The periphery of the reduced scale model is required to be made of transparent heat-insulating glass, the transparency is not lower than 70%, and the heat transfer coefficient is less than 1W/(m) 2 K), the vacuum composite hollow glass can be adopted to achieve good heat insulation effect, the glass can be closed, the bottom of the model platform is a base, and the height of the model base can be adjusted according to test requirements.
In the invention, the model base can be provided with the air heater inlet and the heating air outlet so as to simulate the high-temperature environment of the super bridge; an air cooler inlet and a cooling air outlet can be arranged on the side of the model to simulate the low-temperature environment of the extra-large bridge; the model side can also be provided with a humidifier inlet to simulate the humidity environment of the extra large bridge. The outside of this scale model is provided with intelligent temperature, humidity control system to accurate parameter control that carries out.
In the invention, a sliding groove can be further arranged on the model base, the length of a single sliding groove is 0.02m narrower than the length of the inside of the test platform, the width of the single sliding groove is 0.05 m-0.1 m, and the sliding groove is used for longitudinally moving the loading equipment on the model base.
The embodiment provides a method for evaluating stability of an extra large bridge, referring to fig. 1, the method is shown to include steps S1 to S4, specifically:
s1, acquiring preset depth of at least two stability evaluation points and temperature information acquired by two temperature sensor groups of an extra-large bridge scale model within preset temperature loading time, wherein the stability evaluation points are arranged in the extra-large bridge scale model, a first temperature sensor group comprises a first temperature sensor and a second temperature sensor, the first temperature sensor and the second temperature sensor are arranged on the surface of the extra-large bridge scale model, and the second temperature sensor group corresponds to the positions of the stability evaluation points one by one;
in step S1, the temperature and humidity field of 24 hours around the clock is simulated by CFD values based on the principle of heat radiation through the meteorological data collected in advance, such as solar radiation amount, ambient wind speed, relative humidity, etc., so as to truly restore the real-time temperature and humidity change of the scene. And the intelligent loading is performed in real time through an intelligent temperature and humidity control system. The two temperature sensor groups collect corresponding data, and the invention can realize the simulation of special climatic conditions such as extremely large temperature difference, continuous high temperature, sudden temperature rise, sudden temperature drop and the like.
The first temperature sensor is used for collecting the surface initial temperature of the extra-large bridge scale model, and the second temperature sensor is used for collecting the surface temperature of the extra-large bridge scale model after the preset temperature loading time.
S2, calculating according to the preset depth of each stability evaluation point, the temperature information of the first temperature sensor group and a preset theoretical temperature formula to obtain a temperature theoretical value of each stability evaluation point;
in step S2, the temperature theoretical value calculation formula of each stability evaluation point is:
in the above formula, ti represents a temperature theoretical value corresponding to the stability evaluation point when the stability evaluation point is the position of the i point; t (T) I Representing the initial surface temperature of the extra-large bridge scale model acquired by the first temperature sensor; t (T) S The surface temperature of the extra-large bridge reduced scale model acquired by the second temperature sensor after time t is represented; hi represents the preset depth h when the stability evaluation point is the position of the point i; λ represents thermal conductivity; t represents a preset temperature loading time; c represents a specific heat capacity per unit; ρ represents the density.
Step S3, calculating according to each temperature theoretical value and the temperature detection value acquired by the corresponding second temperature sensor group to obtain a first characteristic value of each stability evaluation point;
in step S3, the calculation formula is:
Ti-Ti′＝K1i
in the above formula, ti represents a temperature theoretical value corresponding to the stability evaluation point when the stability evaluation point is the position of the i point; ti' represents a temperature detection value acquired by a corresponding second temperature sensor group when the stability evaluation point is the position of the point i; k1i represents a first feature value corresponding to the stability evaluation point when the stability evaluation point is the position of the point i.
And S4, evaluating the stability of the super bridge according to the numerical value of each first characteristic value.
In step S4, for the purpose of evaluating the stability of the clear extra-large bridge, it includes S41 to S45, specifically:
s41, partitioning the extra-large bridge scale model according to the positions of all stability evaluation points to obtain partition information of the extra-large bridge scale model;
s42, calculating all first characteristic values in each piece of partition information based on the partition information of the super bridge scale model;
s43, fitting all the first characteristic values in each piece of partition information to obtain a first characteristic curve in each piece of partition information;
s44, extracting peak-to-peak values of each first characteristic curve based on the first characteristic curve in each partition information;
s45, comparing the peak value of each first characteristic curve with a preset first threshold value, and when the peak value of all the first characteristic curves is smaller than the preset first threshold value, enabling the super bridge to be in a stable state; when the peak value of the peak of each first characteristic curve is larger than a preset first threshold value, the super bridge is in a sub-stable state; when the peak-to-peak values of all the first characteristic curves are larger than a preset first threshold value, the oversized bridge is in an unstable state.
In order to clarify the effect of the load on the stability of the super bridge, a step S5 is further provided after the step S3, wherein the step S5 includes S51 to S54, specifically:
s51, acquiring load loading information and load information acquired by a load sensor group in a preset load loading time of an extra-large bridge scale model, wherein the positions of the load sensor group and a stability evaluation point are in one-to-one correspondence, and the load loading information comprises preset dynamic load and preset static load;
in step S51, an intelligent loading system for train load needs to be set outside the scale model to simulate the train load conditions of different trains under different operation speeds, and the intelligent loading system for train load can obtain a preset dynamic load and a preset static load after working.
S52, calculating according to the load loading information and a preset theoretical load formula to obtain a load theoretical value of each stability evaluation point;
in step S52, the calculation formula is:
Fi(t)＝(Psinωt+P 0 )·S F
in the above formula, fi (t) represents a load theoretical value corresponding to a stability evaluation point in a preset load loading time t when the stability evaluation point is the position of the point i; p represents a preset dynamic load; p (P) 0 Representing a preset static load; ω represents the vibration frequency; s is S F Representing the train load similarity constant.
S53, calculating according to each load theoretical value and the load detection value acquired by the corresponding load sensor group to obtain a second characteristic value of each stability evaluation point;
in step S53, the calculation formula is:
Fi-Fi′＝K2i
in the above formula, fi represents a load theoretical value corresponding to the stability evaluation point when the stability evaluation point is the position of the i point; fi' represents a load detection value acquired by a corresponding load sensor group when the stability evaluation point is the position of the point i; k2i represents a second feature value corresponding to the stability evaluation point when the stability evaluation point is the position of the point i.
And S54, evaluating the stability of the super bridge according to the numerical value of each of the first characteristic value and the second characteristic value.
In step S54, in order to explicitly use the first characteristic value and the second characteristic value to evaluate stability of the extra bridge, step S54 includes S541-S545, specifically including:
s541, partitioning the extra-large bridge scale model according to the positions of all the stability evaluation points to obtain partition information of the extra-large bridge scale model;
s542, calculating all first characteristic values and second characteristic values in each piece of partition information based on the partition information of the super bridge scale model;
s543, fitting all the first characteristic values and the second characteristic values in each piece of partition information respectively to obtain a first characteristic curve and a second characteristic curve in each piece of partition information;
s544, respectively calculating peak-to-peak values of the respective characteristic curves based on the first characteristic curve and the second characteristic curve in each partition information;
s545, comparing the peak value of each first characteristic curve with a preset first threshold value, and comparing the peak value of each second characteristic curve with a preset second threshold value, so as to judge the stable state of the super bridge.
In order to clarify the influence of deformation on the stability of the super bridge, a step S6 is further provided after the step S3, wherein the step S6 includes S61 to S64, specifically:
s61, acquiring stroke displacement of an electric push rod and displacement information acquired by a laser displacement sensor group in a preset deformation loading time of an extra-large bridge scale model, wherein the electric push rod and the laser displacement sensor group are arranged at the bottom of the extra-large bridge scale model;
in the step, the electric push rod is used for adjusting the bridge line shape, and synchronous lifting can be realized.
S62, calculating according to the stroke displacement of the electric push rod and a preset theoretical deformation formula to obtain a deformation theoretical value of each stability evaluation point;
in step S62, the deformation theoretical value of each stability evaluation point may be simplified into a stroke displacement of the electric push rod, and the data display is performed through the electric push rod;
s63, calculating according to each deformation theoretical value and the deformation detection value acquired by the corresponding laser displacement sensor group to obtain a third characteristic value of each stability evaluation point;
in step S63, the calculation formula is:
Ii-Ii′＝K3i
in the above formula, ii represents a deformation theoretical value corresponding to the stability evaluation point when the stability evaluation point is the position of the point i; ii' represents a deformation detection value acquired by a corresponding laser sensor group when the stability evaluation point is the position of the point i; k3i represents a third characteristic value corresponding to the stability evaluation point when the stability evaluation point is the position of the i point.
And S64, evaluating the stability of the super bridge according to the numerical value of each of the first characteristic value and the third characteristic value.
In step S64, in order to explicitly use the first characteristic value and the second characteristic value to evaluate the stability of the super bridge, step S64 includes S641 to S645, specifically including:
s641, partitioning the extra-large bridge scale model according to the positions of all the stability evaluation points to obtain partition information of the extra-large bridge scale model;
s642, calculating all first characteristic values and third characteristic values in each piece of partition information based on the partition information of the super bridge scale model;
s643, fitting all the first characteristic values and the third characteristic values in each piece of partition information respectively to obtain a first characteristic curve and a third characteristic curve in each piece of partition information;
s644, respectively calculating peak-to-peak values of the respective characteristic curves based on the first characteristic curve and the third characteristic curve in each partition information;
s645, comparing the peak value of each first characteristic curve with a preset first threshold value, and comparing the peak value of each third characteristic curve with a preset third threshold value, and judging the stable state of the super bridge.
The invention can restore the test conditions of the super-bridge under various combined working conditions under the service condition through the data loading system consisting of the intelligent temperature and humidity control system, the train load intelligent loading system and the bridge linear intelligent control system.
Example 2:
as shown in fig. 2, the present embodiment provides an apparatus for evaluating stability of an extra large bridge, where the apparatus includes an obtaining module 901, a first processing module 902, a second processing module 903, and a judging module 904, specifically includes:
the acquiring module 901 is configured to acquire preset depths of at least two stability evaluation points and temperature information acquired by two temperature sensor groups of the extra-large bridge scale model within preset temperature loading time, wherein the stability evaluation points are arranged inside the extra-large bridge scale model, the first temperature sensor group comprises a first temperature sensor and a second temperature sensor, the first temperature sensor and the second temperature sensor are arranged on the surface of the extra-large bridge scale model, and the second temperature sensor group corresponds to the positions of the stability evaluation points one by one;
the first processing module 902 is configured to calculate according to a preset depth of each stability evaluation point, temperature information of the first temperature sensor group, and a preset theoretical temperature formula, so as to obtain a temperature theoretical value of each stability evaluation point;
the second processing module 903 is configured to calculate according to each of the temperature theoretical values and the temperature detection values collected by the corresponding second temperature sensor group, so as to obtain a first feature value of each stability evaluation point;
and the judging module 904 is used for evaluating the stability of the super bridge according to the numerical value of each first characteristic value.
In a specific embodiment of the disclosure, the judging module 904 includes a first computing unit 9041, a second computing unit 9042, a third computing unit 9043, a fourth computing unit 9044, and a first judging unit 9045, and specifically includes:
the first computing unit 9041 is configured to partition the extra-large bridge scale model according to the positions of all the stability evaluation points, so as to obtain partition information of the extra-large bridge scale model;
the second calculating unit 9042 is configured to calculate all the first feature values in each piece of partition information based on the partition information of the super bridge scale model;
a third calculation unit 9043, configured to fit all the first feature values in each piece of partition information to obtain a first feature curve in each piece of partition information;
a fourth calculation unit 9044 for extracting a peak-to-peak value of each first characteristic curve based on the first characteristic curve in each partition information;
the first judging unit 9045 is configured to compare the peak value of each first characteristic curve with a preset first threshold value, and when the peak value of all the first characteristic curves is smaller than the preset first threshold value, the extra bridge is in a stable state; when the peak value of the peak of each first characteristic curve is larger than a preset first threshold value, the super bridge is in a sub-stable state; when the peak-to-peak values of all the first characteristic curves are larger than a preset first threshold value, the oversized bridge is in an unstable state.
In a specific embodiment of the disclosure, after the second processing module 903, a third processing module 905 is further included, as shown in fig. 3, where the third processing module 905 includes a first obtaining unit 9051, a fifth calculating unit 9052, a sixth calculating unit 9053, and a seventh calculating unit 9054, and specifically includes:
the first acquiring unit 9051 is configured to acquire load loading information and load information acquired by a load sensor group in a preset load loading time of the extra-large bridge scale model, where the load sensor group corresponds to the position of the stability evaluation point one by one, and the load loading information includes a preset dynamic load and a preset static load;
a fifth calculating unit 9052, configured to calculate according to the load loading information and a preset theoretical load formula, to obtain a load theoretical value of each stability evaluation point;
the sixth calculating unit 9053 is configured to calculate, according to each load theoretical value and a load detection value acquired by a corresponding load sensor group, a second feature value of each stability evaluation point;
a seventh calculating unit 9054, configured to perform an evaluation of stability of the overpass according to the magnitude of the value of each of the first characteristic value and the second characteristic value.
In a specific embodiment of the disclosure, in the seventh calculating unit 9054, an eleventh calculating unit 90541, a twelfth calculating unit 90542, a thirteenth calculating unit 90543, a fourteenth calculating unit 90544, and a second judging unit 90545 are included, specifically:
an eleventh calculating unit 90541, configured to partition the extra-large bridge scale model according to the positions of all the stability evaluation points, to obtain partition information of the extra-large bridge scale model;
a twelfth calculating unit 90542, configured to calculate, based on the partition information of the extra-large bridge scale model, all the first feature values and the second feature values in each partition information;
a thirteenth calculating unit 90543, configured to fit all the first characteristic values and the second characteristic values in each piece of partition information to obtain a first characteristic curve and a second characteristic curve in each piece of partition information;
a fourteenth calculation unit 90544 for calculating peak-to-peak values of the respective characteristic curves based on the first characteristic curve and the second characteristic curve in each of the partition information, respectively;
the second judging unit 90545 is configured to compare the peak-to-peak value of each first characteristic curve with a preset first threshold value, and compare the peak-to-peak value of each second characteristic curve with a preset second threshold value, so as to judge the stable state of the super bridge.
In a specific embodiment of the disclosure, after the second processing module 903, a fourth processing module 906 is further included, as shown in fig. 4, where the fourth processing module 906 includes a second obtaining unit 9061, an eighth calculating unit 9062, a ninth calculating unit 9063, and a tenth calculating unit 9064, and specifically includes:
the second obtaining unit 9061 is configured to obtain the stroke displacement of the electric putter and the displacement information collected by the laser displacement sensor group in the preset deformation loading time of the extra-large bridge scale model, where the electric putter and the laser displacement sensor group are disposed at the bottom of the extra-large bridge scale model;
an eighth calculating unit 9062, configured to calculate according to the stroke displacement of the electric putter and a preset theoretical deformation formula, to obtain a deformation theoretical value of each stability evaluation point;
a ninth calculating unit 9063, configured to calculate, according to each deformation theoretical value and the deformation detection value acquired by the corresponding laser displacement sensor group, a third feature value of each stability evaluation point;
a tenth calculating unit 9064, configured to perform an evaluation of stability of the overpass according to the magnitude of the value of each of the first characteristic value and the third characteristic value.
In a specific embodiment of the disclosure, the tenth computing unit 9064 includes: the fifteenth calculation unit 90641, the sixteenth calculation unit 90642, the seventeenth calculation unit 90643, the eighteenth calculation unit 90644, and the third judgment unit 90645 specifically include:
a fifteenth calculation unit 90641, configured to partition the extra-large bridge scale model according to the positions of all the stability evaluation points, to obtain partition information of the extra-large bridge scale model;
a sixteenth calculating unit 90642, configured to calculate, based on the partition information of the extra-large bridge scale model, all the first feature values and the third feature values in each partition information;
a seventeenth calculating unit 90643, configured to fit all the first feature values and the third feature values in each piece of partition information to obtain a first feature curve and a third feature curve in each piece of partition information;
an eighteenth calculation unit 90644 for calculating peak-to-peak values of the respective characteristic curves based on the first characteristic curve and the third characteristic curve in each of the partition information, respectively;
and a third judging unit 90645, configured to compare the peak-to-peak value of each first characteristic curve with a preset first threshold value, and compare the peak-to-peak value of each third characteristic curve with a preset third threshold value, so as to judge the stable state of the super bridge.
It should be noted that, regarding the apparatus in the above embodiments, the specific manner in which the respective modules perform the operations has been described in detail in the embodiments regarding the method, and will not be described in detail herein.
Example 3:
corresponding to the above method embodiment, there is also provided an extra large bridge stability evaluation apparatus in this embodiment, and an extra large bridge stability evaluation apparatus described below and an extra large bridge stability evaluation method described above may be referred to correspondingly with each other.
Fig. 5 is a block diagram of an extra large bridge stability evaluation apparatus 800 shown in accordance with an exemplary embodiment. As shown in fig. 5, the overpass stability evaluation apparatus 800 may include: a processor 801, a memory 802. The oversized bridge stability evaluation device 800 may also include one or more of a multimedia component 803, an i/O interface 804, and a communication component 805.
Wherein the processor 801 is configured to control the overall operation of the overpass stability evaluation apparatus 800 to perform all or part of the steps of the overpass stability evaluation method described above. The memory 802 is used to store various types of data to support operation at the overpass stability assessment device 800, which may include, for example, instructions for any application or method operating on the overpass stability assessment device 800, as well as application-related data, such as contact data, messages, pictures, audio, video, and the like. The Memory 802 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is configured to perform wired or wireless communication between the overpass stability evaluation device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near FieldCommunication, NFC for short), 2G, 3G or 4G, or a combination of one or more thereof, the respective communication component 805 may thus comprise: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the extra-large bridge stability evaluation apparatus 800 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processors (DigitalSignal Processor, abbreviated as DSP), digital signal processing apparatus (Digital Signal Processing Device, abbreviated as DSPD), programmable logic devices (Programmable Logic Device, abbreviated as PLD), field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described extra-large bridge stability evaluation method.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the overpass stability evaluation method described above. For example, the computer readable storage medium may be the memory 802 described above including program instructions executable by the processor 801 of the overpass stability evaluation device 800 to perform the overpass stability evaluation method described above.
Example 4:
corresponding to the above method embodiment, there is further provided a readable storage medium in this embodiment, and a readable storage medium described below and an extra bridge stability evaluation method described above may be referred to correspondingly with each other.
A readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for evaluating the stability of an extra large bridge of the above-described method embodiments.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, and the like.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. An extra-large bridge stability evaluation method is characterized by comprising the following steps:
acquiring the preset depth of at least two stability evaluation points and temperature information acquired by two temperature sensor groups of the extra-large bridge scale model within preset temperature loading time, wherein the stability evaluation points are arranged in the extra-large bridge scale model, the first temperature sensor group comprises a first temperature sensor and a second temperature sensor, the first temperature sensor and the second temperature sensor are arranged on the surface of the extra-large bridge scale model, and the second temperature sensor group corresponds to the positions of the stability evaluation points one by one;
calculating according to the preset depth of each stability evaluation point, the temperature information of the first temperature sensor group and a preset theoretical temperature formula to obtain a temperature theoretical value of each stability evaluation point;
calculating according to each temperature theoretical value and the temperature detection value acquired by the corresponding second temperature sensor group to obtain a first characteristic value of each stability evaluation point;
and evaluating the stability of the super bridge according to the numerical value of each first characteristic value.
2. The method according to claim 1, wherein the step of evaluating the stability of the bridge according to the magnitude of each of the first characteristic values comprises:
partitioning the extra-large bridge scale model according to the positions of all the stability evaluation points to obtain partition information of the extra-large bridge scale model;
calculating all first characteristic values in each piece of partition information based on the partition information of the super bridge scale model;
fitting all the first characteristic values in each piece of partition information to obtain a first characteristic curve in each piece of partition information;
extracting a peak-to-peak value of each first characteristic curve based on the first characteristic curve in each partition information;
comparing the peak value of each first characteristic curve with a preset first threshold value, and when the peak value of all the first characteristic curves is smaller than the preset first threshold value, enabling the oversized bridge to be in a stable state; when the peak value of the peak of each first characteristic curve is larger than a preset first threshold value, the super bridge is in a sub-stable state; when the peak-to-peak values of all the first characteristic curves are larger than a preset first threshold value, the oversized bridge is in an unstable state.
3. The method according to claim 1, wherein after calculating from each of the temperature theoretical values and the temperature detection values collected by the corresponding second temperature sensor group, obtaining a first characteristic value of each stability evaluation point, comprising:
acquiring load loading information and load information acquired by a load sensor group in preset load loading time of an extra-large bridge scale model, wherein the load sensor group corresponds to the position of a stability evaluation point one by one, and the load loading information comprises preset dynamic load and preset static load;
calculating according to the load loading information and a preset theoretical load formula to obtain a load theoretical value of each stability evaluation point;
calculating according to each load theoretical value and the load detection value acquired by the corresponding load sensor group to obtain a second characteristic value of each stability evaluation point;
and evaluating the stability of the super bridge according to the numerical value of each of the first characteristic value and the second characteristic value.
4. The method according to claim 1, wherein after calculating from each of the temperature theoretical values and the temperature detection values collected by the corresponding second temperature sensor group, obtaining a first characteristic value of each stability evaluation point, comprising:
acquiring stroke displacement of an electric push rod and displacement information acquired by a laser displacement sensor group in a preset deformation loading time of an oversized bridge scale model, wherein the electric push rod and the laser displacement sensor group are arranged at the bottom of the oversized bridge scale model;
calculating according to the stroke displacement of the electric push rod and a preset theoretical deformation formula to obtain a deformation theoretical value of each stability evaluation point;
calculating according to each deformation theoretical value and the deformation detection value acquired by the corresponding laser displacement sensor group to obtain a third characteristic value of each stability evaluation point;
and evaluating the stability of the super bridge according to the numerical value of each of the first characteristic value and the third characteristic value.
5. An extra large bridge stability evaluation device, characterized by comprising:
the system comprises an acquisition module, a stability evaluation point acquisition module and a stability evaluation point analysis module, wherein the acquisition module is used for acquiring the preset depth of at least two stability evaluation points and the temperature information acquired by two temperature sensor groups of an oversized bridge scale model in preset temperature loading time, the stability evaluation points are arranged in the oversized bridge scale model, the first temperature sensor group comprises a first temperature sensor and a second temperature sensor, the first temperature sensor and the second temperature sensor are arranged on the surface of the oversized bridge scale model, and the second temperature sensor group corresponds to the positions of the stability evaluation points one by one;
the first processing module is used for calculating according to the preset depth of each stability evaluation point, the temperature information of the first temperature sensor group and a preset theoretical temperature formula to obtain a temperature theoretical value of each stability evaluation point;
the second processing module is used for calculating according to each temperature theoretical value and the temperature detection value acquired by the corresponding second temperature sensor group to obtain a first characteristic value of each stability evaluation point;
and the judging module is used for evaluating the stability of the super bridge according to the numerical value of each first characteristic value.
6. The device for evaluating stability of an extra large bridge according to claim 5, wherein in the judgment module, comprising:
the first calculating unit is used for partitioning the extra-large bridge scale model according to the positions of all the stability evaluation points to obtain partition information of the extra-large bridge scale model;
the second calculating unit is used for calculating all first characteristic values in each piece of partition information based on the partition information of the super bridge scale model;
the third calculation unit is used for fitting all the first characteristic values in each piece of partition information to obtain a first characteristic curve in each piece of partition information;
a fourth calculation unit for extracting a peak-to-peak value of each first characteristic curve based on the first characteristic curve in each partition information;
the first judging unit is used for comparing the peak value of each first characteristic curve with a preset first threshold value, and when the peak value of all the first characteristic curves is smaller than the preset first threshold value, the oversized bridge is in a stable state; when the peak value of the peak of each first characteristic curve is larger than a preset first threshold value, the super bridge is in a sub-stable state; when the peak-to-peak values of all the first characteristic curves are larger than a preset first threshold value, the oversized bridge is in an unstable state.
7. The overpass stability evaluation apparatus of claim 5, further comprising a third processing module after the second processing module, the third processing module comprising:
the load loading system comprises a first acquisition unit, a second acquisition unit and a load analysis unit, wherein the first acquisition unit is used for acquiring load loading information and load information acquired by a load sensor group in preset load loading time of an extra-large bridge scale model, the load sensor group corresponds to the position of a stability evaluation point one by one, and the load loading information comprises preset dynamic load and preset static load;
the fifth calculation unit is used for calculating according to the load loading information and a preset theoretical load formula to obtain a load theoretical value of each stability evaluation point;
the sixth calculation unit is used for calculating according to the load theoretical value and the load detection value acquired by the corresponding load sensor group to obtain a second characteristic value of each stability evaluation point;
and a seventh calculation unit, configured to perform an evaluation on stability of the extra-large bridge according to the magnitude of each of the first characteristic value and the second characteristic value.
8. The overpass stability evaluation apparatus of claim 5, further comprising a fourth processing module after the second processing module, the fourth processing module comprising:
the second acquisition unit is used for acquiring the stroke displacement of the electric push rod and the displacement information acquired by the laser displacement sensor group in the preset deformation loading time of the extra-large bridge scale model, wherein the electric push rod and the laser displacement sensor group are arranged at the bottom of the extra-large bridge scale model;
an eighth calculation unit, configured to calculate according to the stroke displacement of the electric putter and a preset theoretical deformation formula, to obtain a deformation theoretical value of each stability evaluation point;
a ninth calculation unit, configured to calculate according to each deformation theoretical value and the deformation detection value acquired by the corresponding laser displacement sensor group, to obtain a third feature value of each stability evaluation point;
and a tenth calculation unit, configured to perform an evaluation on stability of the extra-large bridge according to the magnitude of the value of each of the first characteristic value and the third characteristic value.
9. An extra large bridge stability evaluation apparatus, characterized by comprising:
a memory for storing a computer program;
processor for implementing the steps of the method for evaluating the stability of an extra large bridge according to any one of claims 1 to 4 when executing said computer program.
10. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method for evaluating the stability of an overpass as claimed in any one of claims 1 to 4.
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| CN117390739A (en) * | 2023-09-11 | 2024-01-12 | 北京市政建设集团有限责任公司 | Stability evaluation method and device for underground wall joint |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117390739A (en) * | 2023-09-11 | 2024-01-12 | 北京市政建设集团有限责任公司 | Stability evaluation method and device for underground wall joint |
| CN117390739B (en) * | 2023-09-11 | 2024-05-07 | 北京市政建设集团有限责任公司 | Stability evaluation method and device for underground wall joint |
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