CN-122022572-A - Shield tunnel engineering quality evaluation method based on fuzzy analytic hierarchy process

CN122022572ACN 122022572 ACN122022572 ACN 122022572ACN-122022572-A

Abstract

The invention discloses a shield tunnel engineering quality evaluation method based on a fuzzy analytic hierarchy process, which comprises the following steps of S1, constructing a three-level shield tunnel engineering quality evaluation index system, S2, distributing weights by adopting the fuzzy analytic hierarchy process, S3, formulating five-level quantitative grading standards, S4, collecting measured data and matching scores, S5, weighting and calculating the scores, and S6, judging quality grades. According to the method, a full-dimension three-level index system is constructed, six core two-level indexes and seventeen three-level indexes are innovatively provided, a complete evaluation index framework of the system is formed, key control points of shield tunnel quality are covered on the whole surface, the problems of scattered disorder and incomplete coverage of the traditional index system are solved, and the comprehensiveness and pertinence of quality evaluation are ensured.

Inventors

LIU ZHICHENG
XU ZONGHUI
HUANG XIAODONG
FANG ENQUAN
LI LEI
WEI YUTAO
Shuai Zhiyong
QIU PEIYUN
Ou Zhenxiang
WANG HUAIZHI
CHEN LINGQIANG
QIAO XIAOLIANG
GUO ZHIKUN
LIAO JUNYUAN
ZHANG KUNFENG

Assignees

广州地铁集团有限公司
中铁十一局集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260127

Claims (9)

1. A shield tunnel engineering quality evaluation method based on a fuzzy analytic hierarchy process is characterized by comprising the following steps: the method comprises the steps of S1, firstly constructing a three-level shield tunnel engineering quality evaluation index system, and providing clear objects for subsequent weight distribution, quantitative evaluation and data acquisition, wherein the three-level shield tunnel engineering quality evaluation index system takes the quality of a conventional shield segment as a first-level index, takes tunnel segment quality, tunnel waterproofing, tunnel axis, lining structure invasion, lining ring ovality and tunnel allowed deviation as second-level indexes, and refines and sets actually-measured three-level indexes under each second-level index, wherein the three-level indexes are segment cracks, segment peripheral edge-missing corner areas, segment concrete appearance defects, segment surface concrete collapse areas, segment self-waterproofing grades, lining seepage water quantity, segment joint water swelling water stop strip waterproofing, segment joint ethylene propylene diene monomer sealing strip waterproofing, grouting compactness, plane axis deviation, elevation axis deviation, lining inner surface and design limit minimum distance, circle center and design circle center deviation, lining ring transverse diameter deviation, lining ring inner diameter deviation and lining ring staggered platform deviation respectively; s2, distributing weights to all levels of indexes by adopting a fuzzy analytic hierarchy process based on the three-level evaluation index system constructed in the step S1, wherein the method specifically comprises the following steps: S21, aiming at the relative importance of each level of index in the step S1, a tissue expert adopts a 1-9 scale method to score, and a judgment matrix meeting the symmetry requirements of a diagonal element of constant 1 and element a ij =1/a ji is constructed; S22, carrying out consistency test on the constructed judgment matrix, and calculating a consistency index CI, a random consistency index RI and a consistency ratio CR, wherein CI= (lambda-n)/(n-1), lambda is the maximum characteristic value of the judgment matrix, n is the order of the judgment matrix, RI is determined by inquiring a preset random consistency index table according to the order n of the matrix, CR=CI/RI; S23, carrying out weight calculation on the judgment matrix verified to be effective in the step S22, firstly calculating n times square roots of each row of products of the matrix to obtain initial weights, and then carrying out normalization processing on the initial weights to obtain final weights of all levels of indexes, so as to provide quantization basis for subsequent weight calculation; s3, aiming at the three-level indexes determined in the step S1, setting five-level quantization grading standards, setting threshold values and scores corresponding to five quality grades for each three-level index, wherein the five quality grades are respectively one-level 100 grades, two-level 70 grades, three-level 40 grades, four-level 10 grades and five-level 0 grades, and defining the numerical grading intervals corresponding to different defect degrees so as to realize quantifiable indexes and standard comparison; s4, collecting actual measurement data of the shield tunnel engineering aiming at the three-level indexes of the step S1, matching to obtain corresponding scores of all three-level indexes according to five-level quantitative grading standards formulated in the step S3, and establishing association between the actual measurement data and the scores; S5, calculating weighted scores of all three levels of indexes based on final weights of all levels of indexes obtained in the step S2 and three levels of index scores matched in the step S4 according to a calculation mode of multiplying the index scores by the index weights, summarizing to obtain a second level of index score, and accumulating to obtain a first level of index final score to form micro-to-macro score conduction; and S6, judging the quality grade of the shield tunnel engineering according to the final score of the first-level index calculated in the step S5, wherein the partition section [ 100-80 ] corresponds to the first-level quality grade, [ 80-60 ] corresponds to the second-level quality grade, [ 60-40) corresponds to the third-level quality grade, [ 40-20) corresponds to the fourth-level quality grade, and [ 20-0 ] corresponds to the fifth-level quality grade, so that the whole quality evaluation closed loop is completed.
2. The method for evaluating the quality of the shield tunnel engineering based on the fuzzy analytic hierarchy process of claim 1, wherein the weight ratio of the four three-level indexes under the secondary indexes of the quality of the tunnel segment in the step S1 is respectively 0.185 of segment crack, 0.205 of segment peripheral open edge corner area, 0.320 of segment concrete appearance defect and 0.290 of segment surface concrete caving area.
3. The method for evaluating the quality of the shield tunnel engineering based on the fuzzy analytic hierarchy process of claim 1, wherein the weight ratio of the five three-level indexes under the tunnel waterproof two-level index in the step S1 is respectively that the self-waterproof grade of a pipe sheet is 0.102, the lining seepage water amount is 0.061, the waterproof performance of a pipe sheet seam water-swelling sealing strip is 0.262, the waterproof performance of a pipe sheet seam ethylene propylene diene monomer sealing strip is 0.159, and the grouting compactness is 0.416.
4. The method for evaluating the quality of the shield tunnel engineering based on the fuzzy analytic hierarchy process of claim 1, wherein the weight ratio of the two three-level indexes under the two-level indexes of the tunnel axis in the step S1 is respectively 0.400 for plane axis deviation and 0.600 for elevation axis deviation.
5. The method for evaluating the quality of the shield tunnel engineering based on the fuzzy analytic hierarchy process of claim 1, wherein the weight ratio of the two three-level indexes under the limit invasion two-level index of the lining structure in the step S1 is respectively 0.25 of the minimum distance between the inner surface of the lining and the design limit and 0.75 of the deviation between the circle center and the design circle center.
6. The method for evaluating the quality of the shield tunnel engineering based on the fuzzy analytic hierarchy process is characterized in that the two three-level index weight ratios under the lining ring ovality secondary index in the step S1 are respectively 0.5 and 0.5 of lining ring transverse diameter deviation and 0.5 of lining ring longitudinal diameter deviation, and the two three-level index weight ratios under the tunnel allowable deviation secondary index are respectively 0.5 and 0.5 of lining ring dislocation deviation.
7. The method for evaluating the quality of the shield tunnel engineering based on the fuzzy analytic hierarchy process of claim 1, wherein the scale meaning of the 1-9 scale method in the step S21 is that 1 is equal in importance, 3 is slightly important, 5 is obviously important, 7 is strongly important, 9 is extremely important, and 2,4, 6 and 8 are intermediate values corresponding to adjacent scales.
8. The method for evaluating the quality of the shield tunnel engineering based on the fuzzy analytic hierarchy process of claim 1, wherein the normalization processing in the step S23 is performed in a specific manner that each initial weight is divided by the sum of all initial weights to obtain the final weight of each level of indexes, and the final weight sum of each level of indexes is 1.
9. The method for evaluating the quality of the shield tunnel engineering based on the fuzzy analytic hierarchy process of claim 1, wherein the actual measurement data in the step S4 is obtained through the modes of field detection, instrument measurement and experimental test, so that the authenticity and the accuracy of the data are ensured, and a reliable basis is provided for subsequent scoring matching and scoring calculation.

Description

Shield tunnel engineering quality evaluation method based on fuzzy analytic hierarchy process Technical Field The invention relates to the technical field of shield tunnel engineering quality evaluation, in particular to a shield tunnel engineering quality evaluation method based on a fuzzy analytic hierarchy process. Background The shield tunnel is used as a core infrastructure of urban underground traffic, and the engineering quality of the shield tunnel is directly related to the safety operation of urban traffic and the life and property safety of people. In the quality acceptance and long-term operation and maintenance management process of shield tunnel engineering, quality evaluation is a key link. The existing quality evaluation system is limited by technical frames and industry standards, is difficult to adapt to the requirements of refined and accurate engineering management and control, so that the dimension is single when the quality grades are divided, only the qualified and unqualified binary judgment grades are set, the quality of the engineering in the qualified interval is not subjected to quality level subdivision, the difference of the actual quality level of the engineering cannot be embodied, the differentiated priority guidance cannot be provided for subsequent operation and maintenance, the quality advantage of the high-quality engineering cannot be quantitatively embodied easily, potential quality hidden danger is difficult to early warn, and therefore, the shield tunnel engineering quality evaluation method based on the fuzzy analytic hierarchy process needs to be designed. Disclosure of Invention The invention aims to solve the defects in the prior art, and provides a shield tunnel engineering quality evaluation method based on a fuzzy analytic hierarchy process. In order to achieve the purpose, the invention adopts the following technical scheme that the shield tunnel engineering quality evaluation method based on the fuzzy analytic hierarchy process comprises the following steps: The method comprises the steps of S1, firstly constructing a three-level shield tunnel engineering quality evaluation index system, and providing clear objects for subsequent weight distribution, quantitative evaluation and data acquisition, wherein the three-level shield tunnel engineering quality evaluation index system takes the quality of a conventional shield segment as a first-level index, takes tunnel segment quality, tunnel waterproofing, tunnel axis, lining structure invasion, lining ring ovality and tunnel allowed deviation as second-level indexes, and refines and sets actually-measured three-level indexes under each second-level index, wherein the three-level indexes are segment cracks, segment peripheral edge-missing corner areas, segment concrete appearance defects, segment surface concrete collapse areas, segment self-waterproofing grades, lining leakage water quantity, segment joint water expansion water stop strip waterproofing, segment joint ethylene propylene diene monomer sealing strip waterproofing, grouting compactness, plane axis deviation, elevation axis deviation, lining inner surface and design limit minimum distance, circle center and design circle center deviation, lining ring transverse diameter deviation, lining ring inner diameter deviation and lining ring staggered platform deviation respectively; s2, distributing weights to all levels of indexes by adopting a fuzzy analytic hierarchy process based on the three-level evaluation index system constructed in the step S1, wherein the method specifically comprises the following steps: S21, aiming at the relative importance of each level of index in the step S1, a tissue expert adopts a 1-9 scale method to score, and a judgment matrix meeting the symmetry requirements of a diagonal element of constant 1 and element a ij=1/aji is constructed; S22, carrying out consistency test on the constructed judgment matrix, and calculating a consistency index CI, a random consistency index RI and a consistency ratio CR, wherein CI= (lambda-n)/(n-1), lambda is the maximum characteristic value of the judgment matrix, n is the order of the judgment matrix, RI is determined by inquiring a preset random consistency index table according to the order n of the matrix, CR=CI/RI; S23, carrying out weight calculation on the judgment matrix verified to be effective in the step S22, firstly calculating n times square roots of each row of products of the matrix to obtain initial weights, and then carrying out normalization processing on the initial weights to obtain final weights of all levels of indexes, so as to provide quantization basis for subsequent weight calculation; s3, aiming at the three-level indexes determined in the step S1, setting five-level quantization grading standards, setting threshold values and scores corresponding to five quality grades for each three-level index, wherein the five quality grades are respectively one-level 100 grade