CN114862213A - Early warning analysis method for foundation pit monitoring - Google Patents

Early warning analysis method for foundation pit monitoring Download PDF

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CN114862213A
CN114862213A CN202210524922.7A CN202210524922A CN114862213A CN 114862213 A CN114862213 A CN 114862213A CN 202210524922 A CN202210524922 A CN 202210524922A CN 114862213 A CN114862213 A CN 114862213A
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刘俊生
胡园园
姚哲琪
陈昌师
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Nanjing Surveying And Mapping Research Institute Co ltd
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Abstract

The invention discloses an early warning analysis method for foundation pit monitoring, which comprises the following steps: determining the safety level and parameters of the foundation pit according to a design drawing; respectively counting the number of monitoring points and the total number of monitoring items when the monitoring data in the foundation pit monitoring items reach alarm values of 70% and 80%; calculating independent early warning indexes of monitoring items according to the number of monitoring points reaching 70 percent and 80 percent of alarm values and the total number of monitoring points of each monitoring item; calculating a foundation pit data early warning coefficient; and confirming the section importance index; analyzing the regional relation between the inspection result and the monitoring points, and the capability of the monitoring data for reflecting deformation, and setting a test item-inspection result correlation coefficient and an amplification coefficient; calculating a comprehensive early warning coefficient; and early warning analysis is carried out on the foundation pit engineering by judging the comprehensive early warning coefficient, so that the effect of advanced pre-judgment is achieved. The early warning analysis method for foundation pit monitoring disclosed by the invention solves the problem of early warning of foundation pit monitoring data, and provides a solution for foundation pit engineering safety.

Description

Early warning analysis method for foundation pit monitoring
Technical Field
The invention relates to the technical field of foundation pit monitoring of constructional engineering, in particular to an early warning analysis method for foundation pit monitoring.
Background
Under the background of rapid development of social economy, foundation pit engineering is continuously developed in a deep and large direction, excavation time is long, construction procedures are complex, construction difficulty is high, and surrounding environmental conditions of the foundation pit are complex, so that the foundation pit engineering has higher danger. Therefore, risk analysis and early warning are required to be carried out on the foundation pit engineering, and especially the combination of field inspection results (including supporting structures, construction conditions, surrounding environments and monitoring facilities) and monitoring data is required to be considered, so that the risk condition of the foundation pit engineering is analyzed, and the effect of early warning is achieved.
Chinese patent CN 111042143a discloses a foundation pit engineering early warning method and system based on analysis of a large amount of monitoring data, which statistically analyzes the risk control index of the risk source through a large amount of monitoring data, and dynamically adjusts the control index of the monitoring item through accumulation of foundation pit risk information. However, the above patent does not consider the correlation between the field inspection result and the monitoring data, and the correspondence between the early warning information and the deformation result cannot be confirmed.
Chinese patent CN 113887019A discloses an early warning state evaluation method of the whole foundation pit based on grey correlation, which is characterized in that the state is scored according to rules through the importance degree of early warning indexes of the foundation pit, so that the state score of the structure is obtained, and the early warning of the whole foundation pit is carried out according to the rules.
However, the above patent only relates to automatic monitoring, and does not consider a foundation pit early warning method of manual monitoring data. Therefore, the early warning analysis method for foundation pit monitoring, which combines manual monitoring data and automatic monitoring mutually and performs organic complementation, is a problem worthy of research.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a foundation pit monitoring early warning analysis method, which achieves the effect of early warning, and the foundation pit monitoring early warning analysis method is based on the data that the monitoring data reach 70% and 80% of the warning value, divides a cross section into calculation units by taking a deep horizontal displacement measuring hole as the center, associates the inspection result with the monitoring data, and calculates the comprehensive early warning coefficient.
The purpose of the invention is realized as follows:
an early warning analysis method for foundation pit monitoring comprises the following steps:
step 1, obtaining design safety level importance coefficient K of foundation pit engineering s
Step 2, counting the number X of monitoring points of which the monitoring data reach 70% and 80% of alarm values in all monitoring items of the foundation pit engineering respectively i 、Y i And the total number N of the bit positions of each monitoring item i Alarm value W of each monitoring item i
Step 3, according to the number X of monitoring points when the monitoring data in the monitoring items reach 70% and 80% of the alarm value i 、Y i And the total number of point positions N of each monitoring item i Calculating an independent early warning index D of each monitoring item i
Step 4, passing the importance coefficient K s Independent early warning index D of each monitoring item i And calculating the data early warning coefficient delta of the foundation pit engineering i
Step 5, dividing the foundation pit into a plurality of sections along the edge line by taking each measuring hole of the deep horizontal displacement measuring item as a center, and comparing every two of four factors in the support form, the excavation progress, namely procedure connection, the surrounding environment factors and the geological soil layer conditions of different sections; constructing an importance index contrast matrix Q by taking a supporting form as a row and an excavation progress as a column; constructing an importance index contrast matrix G by taking the excavation progress as a row and taking the surrounding environment factors as columns; constructing an importance index contrast matrix P by taking a support form as a row and geological soil layer elements as columns, taking a specific support form as a numerical unit 1, obtaining importance ratio indexes of all factors under different conditions, and calculating a section importance index K according to different section conditions i
Step 6, setting a correlation coefficient H of the measuring item-inspection result according to the correlation importance degree of the monitoring item and the field inspection result and the advance and lag capabilities of different monitoring data reflecting the peripheral inspection result i And comparing the amplification factor P, wherein i refers to the monitoring item, and P is K s /0.9;
Step 7, taking the section as aThe calculation unit is used for measuring the item-inspection content correlation coefficient H according to the point positions of which the monitoring data reaches 70% and 80% of the alarm value in the monitoring item i Is assigned to H i-j Taking the corresponding result to multiply the amplification factor and then adding, and adding H under the non-corresponding condition i Is assigned to L i-j After the weights are reduced in proportion, the weights are added, and a comprehensive early warning coefficient epsilon is calculated, wherein i refers to a monitoring item, and j refers to a certain point position;
and 8, judging the interval according to the early warning coefficient, and early warning.
Step 1, designing safety level and importance coefficient K of foundation pit engineering s And obtaining the design file of the foundation pit.
In the step 2, the number X of monitoring points when the monitoring data reaches 70% and 80% of the alarm value i 、Y i And the total number N of the bit positions of each monitoring item i And acquiring from the monitoring report.
Independent early warning index D of each monitoring item in step 3 i The calculation formula of (a) is as follows:
Figure BDA0003643810420000021
step 4, data early warning coefficient delta of foundation pit engineering i The calculation formula of (a) is as follows;
δ=K s *∑Di。
section importance index K in step 5 i The correlation coefficient H in step 6 is obtained according to the statistical analysis of the expert survey method i-j And the contrast amplification factor P is obtained by combining an AHP hierarchical analysis method and an expert survey method for statistical analysis.
The calculation formula of the comprehensive risk early warning coefficient epsilon in the step 7 is as follows;
Figure BDA0003643810420000031
wherein theta refers to a preset proportion of the early warning value; m i-j The monitoring data value is associated with the patrol content and does not reach the preset proportion of the alarm value.
The early warning coefficient judgment interval in the step 8 is as follows;
Figure BDA0003643810420000032
has the positive and beneficial effects that: based on foundation pit monitoring data and on-site inspection contents, according to objective conditions of different engineering support forms, excavation progress (procedure connection), geological soil layers and the like, on the basis of data of which the monitoring data reach alarm values of 70% and 80%, a section is divided into calculation units by taking a deep horizontal displacement measuring hole as a center, inspection results and the monitoring data are correlated, and a comprehensive early warning coefficient is calculated. Before the monitoring data of the foundation pit does not reach the alarm value, risk assessment is carried out on the foundation pit in a mode of combining qualitative information and quantitative information, the effect of advanced early warning is achieved, and safety production work is better achieved in auxiliary monitoring and construction units.
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FIG. 1 is a flow chart of the present invention.
Fig. 2 is a schematic diagram of dividing a foundation pit engineering section in embodiment 1 of the present invention.
Detailed Description
The invention is further described below with reference to the drawings and specific preferred embodiments;
as shown in fig. 1, an early warning analysis method for foundation pit monitoring includes the following steps:
step 1, obtaining design safety level importance coefficient K of foundation pit engineering s
Step 2, counting the number X of monitoring points of which the monitoring data reach 70% and 80% of alarm values in all monitoring items of the foundation pit engineering respectively i 、Y i And the total number N of the bit positions of each monitoring item i Alarm value W of each monitoring item i
Step 3, according to the number X of monitoring points when the monitoring data in the monitoring items reach 70% and 80% of the alarm value i 、Y i And the total number of point positions N of each monitoring item i Calculating an independent early warning index D of each monitoring item i
Step 4, passing the importance coefficient K s Independent early warning index D of each monitoring item i And calculating the data early warning coefficient delta of the foundation pit engineering i
Step 5, dividing the foundation pit into a plurality of sections along the edge line by taking each measuring hole of the deep horizontal displacement measuring item as a center, and comparing every two of four factors in the support form, the excavation progress, namely procedure connection, the surrounding environment factors and the geological soil layer conditions of different sections; constructing an importance index contrast matrix Q by taking a supporting form as a row and an excavation progress as a column; constructing an importance index contrast matrix G by taking the excavation progress as a row and taking the surrounding environment factors as columns; constructing an importance index contrast matrix P by taking a support form as a row and geological soil layer elements as columns, taking a specific support form as a unit 1 on a numerical value, obtaining importance ratio indexes of all factors under different conditions, and calculating an importance index K of a section according to different section conditions i
Step 6, setting a correlation coefficient H of the measuring item-inspection result according to the correlation importance degree of the monitoring item and the field inspection result and the advance and lag capabilities of different monitoring data reflecting the peripheral inspection result i And comparing the amplification factor P, wherein i refers to the monitoring item, and P is K s /0.9;
Step 7, taking the section as a calculation unit, and measuring item-inspection content correlation coefficient H according to the point positions of which the monitoring data in the monitoring item reach 70% and 80% of alarm values i Is assigned to H i-j Taking the corresponding result to multiply the amplification factor and then adding, and adding H under the non-corresponding condition i Is assigned to L i-j After the weights are reduced in proportion, the weights are added, and a comprehensive early warning coefficient epsilon is calculated, wherein i refers to a monitoring item, and j refers to a certain point position;
and 8, judging the interval according to the early warning coefficient, and early warning.
Step 1, designing safety level and importance coefficient K of foundation pit engineering s And obtaining the design file of the foundation pit.
In the step 2, the number X of monitoring points when the monitoring data reaches 70% and 80% of the alarm value i 、Y i And the total number N of the bit positions of each monitoring item i And acquiring from the monitoring report.
Independent early warning index of each monitoring item in step 3D i The calculation formula of (a) is as follows:
Figure BDA0003643810420000041
step 4, data early warning coefficient delta of foundation pit engineering i The calculation formula of (a) is as follows;
δ=K s *∑Di。
section importance index K in step 5 i The correlation coefficient H in step 6 is obtained according to the statistical analysis of the expert survey method i-j And the contrast amplification factor P is obtained by combining an AHP hierarchical analysis method and an expert survey method for statistical analysis.
The calculation formula of the comprehensive risk early warning coefficient epsilon in the step 7 is as follows;
Figure BDA0003643810420000042
wherein theta refers to a preset proportion of the early warning value; m i-j The monitoring data value is associated with the patrol content and does not reach the preset proportion of the alarm value.
The early warning coefficient judgment interval in the step 8 is as follows;
Figure BDA0003643810420000043
example 1
As shown in fig. 2, the collection of the relevant parameters of the deep foundation pit is completed through a special design scheme and a support design drawing of the deep foundation pit, and the design safety level importance coefficient K of the foundation pit is determined s Factors such as soil layer parameters, excavation depth, supporting level, surrounding environment and the like;
in this example, two inspection contents of deformation and cracking of the retaining wall (whether the soil body behind the enclosure wall sinks or cracks or slides), cracking of the waterproof curtain and water leakage are taken as examples, a finished foundation pit project with corresponding problems is selected, and the operation flow of the invention is explained;
in this example, itemsThe total area of the foundation pit is about 1280m 2 The circumference is about 148m, the +/-0.000 of the project is equivalent to the absolute elevation +7.200, and the relative elevation of the natural terrace is about-0.700. The top elevation of the raft plate is-4.300, -4.900, the plate thickness is 400, a 150-thick cushion layer is considered, and the excavation depth of the foundation pit is divided into 4.15m and 4.75 m;
the safety level of the foundation pit supporting structure is three levels, the importance coefficient is 0.9, and each measured item has an alarm value W i
Foundation pit engineering enclosure body adoption
Figure BDA0003643810420000051
The double-shaft cement-soil mixing pile gravity dam is used as a soil and water retaining enclosure structure in a foundation pit excavation stage. Adopting a double-shaft deep stirring pile to stop water by a water stopping measure; the precipitation measure adopts a pipe well for precipitation;
the initial moment of the foundation pit with two problems of deformation and cracking of the side retaining wall and water seepage between piles is used as a calculation node. Acquiring the number of monitoring points and the total number of monitoring points of each monitoring item when the following monitoring items reach alarm values of 70% and 80%;
monitoring item 70% number of alarm points 80% number of alarm points Total number of measuring points
Horizontal displacement of ring beam (top of slope) X 1 Y 1 N 1
Vertical displacement of ring beam (top of slope) X 2 Y 2 N 2
Settlement of surrounding ground X 3 Y 3 N 3
Peripheral line sedimentation X 4 Y 4 N 4
Water level outside pit X 5 Y 5 N 5
Horizontal displacement of deep soil X 6 Y 6 N 6
Calculating independent early warning coefficients
Figure BDA0003643810420000052
Introducing an importance coefficient K of the design safety grade, and calculating a data early warning coefficient delta K sigma Di of the foundation pit engineering
The data early warning coefficient only macroscopically judges the general deformation trend of the foundation pit under the limitation of the current warning value, is not representative and cannot reflect the influence of local deformation on the whole;
on the basis, a section analysis idea is adopted, an inclination point position is taken as a center or different support forms are connected into a partition line, and the foundation pit is divided into a plurality of sections;
judging section importance index values under different section conditions according to each element importance matrix Q, G, P obtained by an expert investigation method;
risk index contrast matrix for support form and excavation progress (procedure connection)
Figure BDA0003643810420000061
Matrix of influence degree of excavation progress on surrounding environment elements
Figure BDA0003643810420000062
Stability evaluation matrix under different support forms and geological soil layer conditions
Figure BDA0003643810420000063
In the example, except that the south side of the field is the current road and the east side of the field is the construction site, the other two sides of the field are empty lands, the field topography is relatively flat, and the landform unit of the field is the flood plain of Qinhuai river;
no power supply, water supply, gas, radio and television and telecommunication pipelines are arranged in the range of the engineering red line. A power pipeline is arranged on the southwest direction of the foundation pit and on the east of the clear water pavilion; plain filling soil is mainly used in the excavation depth range, and a deep muddy silty clay layer exists below the excavation surface;
in this example, the foundation pit project is divided into 10 sections by taking the displacement point of the deep soil body as the center, the support form index is taken as a unit 1 according to the objective conditions in different sections, the importance indexes of various factors are converted and then added, and the importance index K of the corresponding section is calculated i
According to the monitored item and currentThe correlation importance degree of the field inspection result and the advance and lag capabilities of the different monitoring data reflecting the surrounding inspection result are set, and a test item-inspection result correlation coefficient H is set i And a contrast amplification factor P;
in this example, taking the related patrol contents as an example, the problems found in patrol include:
firstly, the retaining wall is deformed and cracked (the soil body behind the retaining wall has no settlement, crack and slippage, and the inspection content is numbered 22)
The waterproof curtain has cracks and water leakage (patrol content number 7)
The sequence number of the inspection content is based on the sequence of the inspection daily report form in P46 appendix G in the building foundation pit engineering monitoring technical standard GB 50497-2019.
In this embodiment, the monitoring items related to the above problems include:
in connection with deformation cracking of the retaining wall: horizontally displacing a ring beam (slope top); vertical displacement of ring beam (top of slope);
thirdly, settlement of the peripheral earth surface; water level outside the pit; horizontally displacing the deep layer of the soil body (numbering each test item according to the sequence);
and the waterproof curtain is cracked and leaks: vertically displacing a ring beam (slope top); sedimentation of peripheral pipelines; thirdly, settlement of the peripheral earth surface; fourthly, horizontally displacing the deep layer of the soil body; water level outside pit
Using the section as a calculation unit, screening corresponding test items and point positions contained in the section to reach the point position of the early warning value theta proportion, and assigning corresponding coefficients to H i-j (ii) a Assigning the corresponding coefficient to L for the point position which does not reach the proportion of the early warning value theta i-j Wherein theta is 70%;
in this embodiment, the section (i) and the section (iii) are focused, as shown in fig. 2, the section where the retaining wall is deformed and cracked is the section (i), the section where the waterproof curtain is cracked and the water leakage occurs is the section (iii), and the coefficients to be assigned after statistics include:
Figure BDA0003643810420000071
calculating a comprehensive early warning coefficient formula:
Figure BDA0003643810420000072
substituting the corresponding coefficients in the table into a formula to calculate:
Figure BDA0003643810420000073
ε=0.9*(0.1527+1.3658+0.0529+0.0766)=1.4832
the advance warning confidence interval according to the embodiment is as follows:
Figure BDA0003643810420000074
therefore, the following steps are carried out: and performing red early warning on the foundation pit engineering, and immediately taking corresponding measures.
Based on foundation pit monitoring data and on-site inspection contents, according to objective conditions of different engineering support forms, excavation progress (procedure connection), geological soil layers and the like, on the basis of data of which the monitoring data reach alarm values of 70% and 80%, a section is divided into calculation units by taking a deep horizontal displacement measuring hole as a center, inspection results and the monitoring data are correlated, and a comprehensive early warning coefficient is calculated. Before the monitoring data of the foundation pit does not reach the alarm value, risk assessment is carried out on the foundation pit in a mode of combining qualitative information and quantitative information, the effect of advanced early warning is achieved, and safety production work is better achieved in auxiliary monitoring and construction units.

Claims (8)

1. The early warning analysis method for foundation pit monitoring is characterized by comprising the following steps of: the method comprises the following specific steps:
step 1, obtaining design safety level importance coefficient K of foundation pit engineering s
Step 2, respectively counting that the monitoring data in all monitoring items of the foundation pit engineering reach alarm values of 70% and 80%Number of monitoring points X i 、Y i And the total number N of the bit positions of each monitoring item i Alarm value W of each monitoring item i
Step 3, according to the number X of monitoring points when the monitoring data in the monitoring items reach 70% and 80% of the alarm value i 、Y i And the total number of point positions N of each monitoring item i Calculating an independent early warning index D of each monitoring item i
Step 4, passing the importance coefficient K s Independent early warning index D of each monitoring item i And calculating the data early warning coefficient delta of the foundation pit engineering i
Step 5, dividing the foundation pit into a plurality of sections along the edge line by taking each measuring hole of the deep horizontal displacement measuring item as a center, and comparing every two of four factors in the support form, the excavation progress, namely procedure connection, the surrounding environment factors and the geological soil layer conditions of different sections; constructing an importance index contrast matrix Q by taking a supporting form as a row and an excavation progress as a column; constructing an importance index contrast matrix G by taking the excavation progress as a row and taking the surrounding environment factors as columns; constructing an importance index contrast matrix P by taking a support form as a row and geological soil layer elements as columns, taking a specific support form as a numerical unit 1, obtaining importance ratio indexes of all factors under different conditions, and calculating a section importance index K according to different section conditions i
Step 6, setting a correlation coefficient H of the measuring item-inspection result according to the correlation importance degree of the monitoring item and the field inspection result and the advance and lag capabilities of different monitoring data reflecting the peripheral inspection result i And comparing the amplification factor P, wherein i refers to the monitoring item, and P is K s /0.9;
Step 7, taking the section as a calculation unit, and measuring item-inspection content correlation coefficient H according to the point positions of which the monitoring data in the monitoring item reach 70% and 80% of alarm values i Is assigned to H i-j Multiplying the corresponding result by the amplification factor, adding, and adding H under non-corresponding condition i Is assigned to L i-j After the weights are reduced in proportion, the weights are added, and a comprehensive early warning coefficient epsilon is calculated, wherein i refers to a monitoring item, and j refers to a certain point position;
and 8, judging the interval according to the early warning coefficient, and early warning.
2. The early warning analysis method for foundation pit monitoring according to claim 1, wherein the early warning analysis method comprises the following steps: step 1, designing safety level and importance coefficient K of foundation pit engineering s And obtaining the design file of the foundation pit.
3. The early warning analysis method for foundation pit monitoring according to claim 1, wherein the early warning analysis method comprises the following steps: in the step 2, the number X of monitoring points when the monitoring data reaches 70% and 80% of the alarm value i 、Y i And the total number N of the bit positions of each monitoring item i And acquiring from the monitoring report.
4. The early warning analysis method for foundation pit monitoring as claimed in claim 1, wherein: independent early warning index D of each monitoring item in step 3 i The calculation formula of (a) is as follows:
Figure FDA0003643810410000021
5. the early warning analysis method for foundation pit monitoring according to claim 1, wherein the early warning analysis method comprises the following steps: step 4, data early warning coefficient delta of foundation pit engineering i The calculation formula of (a) is as follows;
δ=K s *∑Di。
6. the early warning analysis method for foundation pit monitoring as claimed in claim 1, wherein: section importance index K in step 5 i The correlation coefficient H in step 6 is obtained according to the statistical analysis of the expert survey method i-j And the contrast amplification factor P is obtained by combining an AHP hierarchical analysis method and an expert survey method for statistical analysis.
7. The early warning analysis method for foundation pit monitoring as claimed in claim 1, wherein: the calculation formula of the comprehensive risk early warning coefficient epsilon in the step 7 is as follows;
Figure FDA0003643810410000022
wherein theta refers to a preset proportion of the early warning value; m i-j The monitoring data value is associated with the patrol content and does not reach the preset proportion of the alarm value.
8. The early warning analysis method for foundation pit monitoring according to claim 1, wherein the early warning analysis method comprises the following steps: the early warning coefficient judgment interval in the step 8 is as follows;
Figure FDA0003643810410000023
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