CN107067176A - A kind of multifactor AHP integrated evaluating methods of tomography slip casting effect - Google Patents
A kind of multifactor AHP integrated evaluating methods of tomography slip casting effect Download PDFInfo
- Publication number
- CN107067176A CN107067176A CN201710249624.0A CN201710249624A CN107067176A CN 107067176 A CN107067176 A CN 107067176A CN 201710249624 A CN201710249624 A CN 201710249624A CN 107067176 A CN107067176 A CN 107067176A
- Authority
- CN
- China
- Prior art keywords
- mrow
- factor
- consolidation effect
- grouting consolidation
- influence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000000694 effects Effects 0.000 title claims abstract description 55
- 238000007569 slipcasting Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000003325 tomography Methods 0.000 title claims abstract description 17
- 238000007596 consolidation process Methods 0.000 claims abstract description 36
- 238000011156 evaluation Methods 0.000 claims abstract description 14
- 230000003014 reinforcing effect Effects 0.000 claims abstract description 8
- 238000004445 quantitative analysis Methods 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims description 19
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000010521 absorption reaction Methods 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 3
- 238000010200 validation analysis Methods 0.000 claims description 3
- 238000000205 computational method Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 claims description 2
- 238000010276 construction Methods 0.000 claims 1
- 238000004451 qualitative analysis Methods 0.000 abstract description 3
- 239000011435 rock Substances 0.000 description 5
- 239000002002 slurry Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000945 filler Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000009955 starching Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21C—MINING OR QUARRYING
- E21C41/00—Methods of underground or surface mining; Layouts therefor
- E21C41/16—Methods of underground mining; Layouts therefor
- E21C41/18—Methods of underground mining; Layouts therefor for brown or hard coal
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Mining & Mineral Resources (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Agronomy & Crop Science (AREA)
- Operations Research (AREA)
- Primary Health Care (AREA)
- Animal Husbandry (AREA)
- General Health & Medical Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Remote Sensing (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geology (AREA)
- Consolidation Of Soil By Introduction Of Solidifying Substances Into Soil (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The invention discloses a kind of multifactor AHP integrated evaluating methods of tomography slip casting effect, including：The influence factor of influence grouting consolidation effect is concluded, hierarchical structure model is set up；Influence grouting consolidation effect factor is counted, calculated, average value Judgement Matricies are utilized；According to Judgement Matricies, grouting and reinforcing evaluation index priority weighting is determined；By grouting consolidation effect horizontal division grade, and make qualitative and quantitative description；According to opinion rating collection, grouting consolidation effect is evaluated.The present invention influences the principal element of grouting consolidation effect by concluding, set up hierarchical structure model, based on analytic hierarchy process, mark off rational slip casting effect hierarchical level, and then compare opinion rating collection, the evaluation tomography grouting consolidation effect of combination of qualitative and quantitative analysis, and the present invention is simple to operate rationally, it is easy to practical application.
Description
Technical field
The present invention relates to coal measures pressure-bearing tomography slip casting effect assessment technique field, and in particular to a kind of tomography slip casting effect is more
Factor AHP integrated evaluating methods.
Background technology
Tomography grouting and reinforcing is that slurries are extruded or penetrated into crack in the presence of pump pressure, after slurry consolidation, with solid
Form is filled in crack and consolidated with rock mass, and the material of these fillings forms new network skeleton structure, network in rock mass
It is then uniformly densely rock mass on the inside of skeleton, forming the filler of network skeleton has preferably elastic bond strength, in phase
With under stress, rock mass strength reaches capacity state during non-slip casting；And the rock mass after slip casting is in stable state, self-supporting can have
Improved.
Equally, it is also and its an important link to be evaluated at present for slip casting effect slip casting effect evaluate
Method mainly has water comparison method before and after slip casting, method of taking a sample to check, drilling detection method, radio wave penetration method, PST methods etc., this
The most actual evaluation of a little methods is more complicated, and quantities is larger, evaluates influence factor more, it is impossible to more preferable rationally visual evaluation
Slip casting effect
The content of the invention
1. the purpose of the present invention
In consideration of it, there is provided a kind of qualitative and quantitative evaluation note for the deficiency of the invention for tomography slip casting effect assessment technique
The method for starching consolidation effect.
2. technical scheme
To achieve the above object, the multifactor AHP integrated evaluating methods of a kind of tomography slip casting effect of the invention, this method bag
Include：Step A, concludes the influence factor of influence grouting consolidation effect, sets up hierarchical structure model；Step B, to influence slip casting
Consolidation effect factor is counted, calculated, and utilizes average value Judgement Matricies；Step C, according to Judgement Matricies, it is determined that
Grouting and reinforcing evaluation index priority weighting；Step D, by grouting consolidation effect horizontal division grade, and makees qualitative and quantitatively retouches
State；Step E, according to opinion rating collection, is evaluated grouting consolidation effect.
The present invention influences the principal element of grouting consolidation effect by concluding, and hierarchical structure model is set up, based on layer
Secondary analysis theories, mark off rational slip casting effect hierarchical level, and then compare opinion rating collection, combination of qualitative and quantitative analysis
Tomography grouting consolidation effect is evaluated, and the present invention is simple to operate rationally, it is easy to practical application.
Brief description of the drawings
It, for further explanation of the present invention, is the part of the application to be used for the accompanying drawing that illustrates herein to be,
But the present invention can not be limited.
Fig. 1 is the multifactor AHP integrated evaluating methods flow chart of tomography slip casting effect of the present invention.
Fig. 2 is the hierarchical structure model figure of present example grouting consolidation effect.
Specific embodiment
Below in conjunction with the accompanying drawings and the example applied of the present invention, the present invention is further described.
Fig. 1 is the multifactor AHP integrated evaluating methods flow chart of tomography slip casting effect of the present invention.As shown in figure 1, this method bag
Include：
Step A, concludes the influence factor of influence grouting consolidation effect, sets up hierarchical structure model；
Step B, is counted to influence grouting consolidation effect factor, is calculated, utilize average value Judgement Matricies；
Step C, according to Judgement Matricies, determines grouting and reinforcing evaluation index priority weighting；
Step D, by grouting consolidation effect horizontal division grade, and makees qualitative and quantitative description.
Step E, according to opinion rating collection, is evaluated grouting consolidation effect.
Below in conjunction with instantiation, above-mentioned each step is explained.
Step A, concludes the influence factor of influence grouting consolidation effect, sets up hierarchical structure model.
In present example, the principal element of influence grouting consolidation effect is summarized as 7 aspects：Water, water temperature, slip casting
Pressure, water absorption rate, physical prospecting achievement, P-Q tracing analysis and boring and coring inspection afterwards.Based on to this grouting consolidation effect evaluate,
7 main aspects are summarized as quantitative analysis judgement and drillhole validation judges two partial objectives for.Two partial objectives for layer again respectively by
The influence of individual next level factor, is specifically shown in Fig. 2.
In fig. 2, top (general objective layer) is grouting consolidation effect evaluation (A)；Partial objectives for layer (B) includes 2 factors,
I.e. quantitative analysis judges that (B1), drillhole validation judge (B2)；Rule layer (C) include 7 factors, i.e. water temperature (C1), water (C2),
Slip casting terminates pressure (C3), water absorption rate (C4), physical prospecting achievement (C5), P-Q tracing analysis (C6), boring and coring inspection (C7).
Step B, is counted to influence grouting consolidation effect factor, is calculated, utilize average value Judgement Matricies.
In present example, it is assumed that (i=1,2 ..., n) are related Bi and Pi in next level, set up in B level factors
Judgment matrix, form is as follows:
The priority weight grade of each factor is determined by comparing two-by-two for each factor, represent factor on it is relatively important
Property.Its evaluation result is represented using following matrix.
Analytical structure is set up according to standard diagrams, with " collection expert analysis mode " method, collection and the live expert of consulting with
The opinion of researcher, each influence factor to grouting consolidation effect is given a mark.Scoring criterion is according to the proposed 1-9 used
As quantity yardstick, as shown in table 1.
The Saaty evaluation criterions of table 1
Judgment matrix characteristic value is calculated with eig functions in MATLAB and selects eigenvalue of maximum λ max.To structural matrix
(C.R.) consistency check is carried out.Work as C.R.<0.10, it is believed that judgment matrix has preferable uniformity, when needs are to judging square
Battle array is adjusted and corrected, and its calculation formula is as follows.C.I. the size of value, illustrates that matrix deviates the degree of uniformity
Size, value is bigger, and departure degree is bigger, and its calculation formula is as follows, and R.I. is Aver-age Random Consistency Index, and its value is such as
Shown in table 2 below.
Rule of thumb analyze, influence grouting consolidation effect factor is counted, calculated, constructed and judged using its average value
Matrix (3~table of table 5).
The random index R.I. value tables of the different rank matrix of table 2
| Matrix exponent number | 3 | 4 | 5 | 6 | 7 | 8 |
| R.I. | 0.58 | 0.9 | 1.12 | 1.24 | 1.32 | 1.41 |
| Matrix exponent number | 9 | 10 | 11 | 12 | 13 | 14 |
| R.I. | 1.45 | 1.49 | 1.51 | 1.54 | 1.56 | 1.58 |
The A-B of table 3iJudgment matrix and its result of calculation (i=1,2)
The B of table 41-CiJudgment matrix and its result of calculation (i=1,2,3,4,5)
The B of table 52-CiJudgment matrix and its result of calculation (i=6,7)
Step C, according to Judgement Matricies, determines grouting and reinforcing evaluation index priority weighting.
According to Judgement Matricies, when matrix is by consistency check, the calculating of factor priority weighting, calculating side need to be calculated
Method is as shown in table 6.
Each factor weight computational methods of table 6
Analysis collects with result of calculation more than, final to determine grouting and reinforcing evaluation index priority weighting, such as the institute of table 7
Show.The weight of each factor shown in table, is Mode of Level Simple Sequence of each factor to upper level, in order to which more preferable realize is evaluated, also
Need to carry out total hierarchial sorting.The weight that a certain layer always sorts is that the weight of this layer of single sequence is total with being under the jurisdiction of last layer time factor
The weight order sum of products.Therefore, the calculating of total weight order will successively be carried out by top to lowermost layer.Its calculation formula is such as
Shown in lower：
In formula：bjRefer to weight of the B layers of m factor to general objective；
CijRefer to Mode of Level Simple Sequence of the C layers of factor of level to upper strata Bj.
The slip casting effect grade of table 7 evaluates level index priority weighting
Total hierarchial sorting is also needed to make consistency check, successively carried out to lowermost layer by top.If B layers of factor are to A layers
The Aj Mode of Level Simple Sequence coincident indicator of factor is CIj, random index is RIj, then the uniformity ratio of layer total hierarchial sorting
Rate is：
As C.R. ＜ 0.10, total hierarchial sorting result has good uniformity, by examining.Time destination layer has in model
B1, B22 factors, the weight to general objective is respectively 0.889,0.113, next level C layers (rule layers) shared 7 because
Element.Mode of Level Simple Sequence c of the n factor of C layers of level to upper strata BjijNumerical value is as shown in table 8.C layers of 7 factors are total by level
The weights that sequence obtains each factor are as shown in table 9.
Each factor of the rule layer of table 8 is to secondary destination layer Mode of Level Simple Sequence Cij numerical tabulars
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
| 1 | 0.2745 | 0.2887 | 0.1693 | 0.0358 | 0.2317 | ||
| 2 | 0.125 | 0.875 |
Each influence factor weight of the rule layer of table 9
| i | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| Ci/% | 0.244 | 0.2566 | 0.1505 | 0.0318 | 0.206 | 0.0139 | 0.0972 |
Step D, by grouting consolidation effect horizontal division grade, and makees qualitative and quantitative description.
The present situation kept the safety in production according to China's coal-mine and working face daily management requirement, by grouting consolidation effect hierarchy level
It is divided into four grades：I security is good；II security is preferable；III security is poor；IV security extreme differences.And made qualitative and fixed
The description of amount, is specifically shown in Table 10.
The slip casting effect hierarchy level of table 10 is divided
| Grade | Security I | Security preferable II | Security poor III | Security extreme difference IV |
| Numerical value v | 0<v≤0.25 | 0.25<v≤0.5 | 0.5<v≤0.75 | 0.75<v≤1 |
If evaluate collection is V, comment is Un, Hazard rank is designed as " four social estate systems ", i.e.,：
V={ U1, U2..., Un}={ I, II, III, IV }
Step E, according to opinion rating collection, is evaluated grouting consolidation effect.
By the analysis to each factor of evaluation of working face, value, tool are carried out to slip casting epimere and hypomere factor of evaluation index
Body is as shown in table 11, table 12.
The epimere slip casting influence element assessment table of table 11
The hypomere slip casting influence element assessment table of table 12
Using data in table 11, slip casting epimere influence element assessment numerical value V is calculated, determines that its V value is equal to
0.34834, security preferably, is consistent with actual conditions.Model is not adjusted.
Using data in table 12, slip casting hypomere influence element assessment numerical value V is calculated, determines that its V value is equal to
0.43189, security is preferable.
The present invention influences the principal element of grouting consolidation effect by concluding, and hierarchical structure model is set up, based on layer
Secondary analysis theories, mark off rational slip casting effect hierarchical level, and then compare opinion rating collection, combination of qualitative and quantitative analysis
Tomography grouting consolidation effect is evaluated, and the present invention is simple to operate rationally, it is easy to practical application.
Instantiation described above, to the purpose of the present invention, process and beneficial effect are described in detail, and are not used to limit
The restriction scope of the fixed present invention, all within the spiritual principles of the present invention, any modification, equivalent substitution for being made etc. all should be wrapped
It is contained within protection scope of the present invention.
Claims (4)
1. a kind of multifactor AHP integrated evaluating methods of tomography slip casting effect, it is characterised in that this method includes：
Step A, concludes the influence factor of influence grouting consolidation effect, sets up hierarchical structure model；
Step B, is counted to influence grouting consolidation effect factor, is calculated, utilize average value Judgement Matricies；
Step C, according to Judgement Matricies, determines grouting and reinforcing evaluation index priority weighting；
Step D, by grouting consolidation effect horizontal division grade, and makees qualitative and quantitative description；
Step E, according to opinion rating collection, is evaluated grouting consolidation effect.
2. a kind of multifactor AHP integrated evaluating methods of tomography slip casting effect as claimed in claim 1, it is characterised in that step A
In, the influence factor of influence grouting consolidation effect is concluded, hierarchical structure model is set up.Influence the main of grouting consolidation effect
Factor is summarized as 7 aspects：Pressure, water absorption rate, physical prospecting achievement, P-Q tracing analysis and boring and coring after water, water temperature, slip casting
Check.Based on evaluating this grouting consolidation effect, 7 main aspects are summarized as quantitative analysis judgement and drillhole validation judges
Two partial objectives for, two partial objectives for layers are influenceed by individual next level factor respectively again.
Top (general objective layer) is grouting consolidation effect evaluation；Partial objectives for layer includes 2 factors, i.e. quantitative analysis and judges, bores
Hole checking judges；Rule layer includes 7 factors, i.e. water temperature, water, slip casting terminates pressure, water absorption rate, physical prospecting achievement, P-Q curves
Analysis, boring and coring inspection.
3. a kind of multifactor AHP integrated evaluating methods of tomography slip casting effect as claimed in claim 1, it is characterised in that step B
In, influence grouting consolidation effect factor is counted, calculated, average value Judgement Matricies are utilized.
Analytical structure is set up according to standard diagrams, with " collection expert analysis mode " method, collection and the live expert of consulting and research
The opinion of scholar, each influence factor to grouting consolidation effect is given a mark.
Judgment matrix characteristic value is calculated with eig functions in MATLAB and selects eigenvalue of maximum λ max.To structural matrix
(C.R.) consistency check is carried out.Work as C.R.<0.10, it is believed that judgment matrix has preferable uniformity, when needs are to judging square
Battle array is adjusted and corrected, and its calculation formula is as follows.C.I. the size of value, illustrates that matrix deviates the degree of uniformity
Size, value is bigger, and departure degree is bigger, and its calculation formula is as follows, and R.I. is Aver-age Random Consistency Index.
<mrow>
<mi>C</mi>
<mo>.</mo>
<mi>R</mi>
<mo>.</mo>
<mo>=</mo>
<mfrac>
<mrow>
<mi>C</mi>
<mo>.</mo>
<mi>I</mi>
<mo>.</mo>
</mrow>
<mrow>
<mi>R</mi>
<mo>.</mo>
<mi>I</mi>
<mo>.</mo>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>C</mi>
<mo>.</mo>
<mi>I</mi>
<mo>.</mo>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>&lambda;</mi>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<mi>n</mi>
</mrow>
<mrow>
<mi>n</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
Rule of thumb analyze, influence grouting consolidation effect factor is counted, calculated, square is judged using its average value construction
Battle array.
4. a kind of multifactor AHP integrated evaluating methods of tomography slip casting effect as claimed in claim 1, it is characterised in that step C
In, according to Judgement Matricies, determine grouting and reinforcing evaluation index priority weighting.
According to Judgement Matricies, when matrix is by consistency check, factor is calculated according to each factor weight computational methods preferential
Level weight, in order to which more preferable realize is evaluated, in addition it is also necessary to carry out total hierarchial sorting.The weight that a certain layer always sorts is this layer of single sequence
Weight and be under the jurisdiction of the total weight order sum of products of last layer time factor.Therefore, the calculating of total weight order will be by top
Successively carried out to lowermost layer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710249624.0A CN107067176A (en) | 2017-04-17 | 2017-04-17 | A kind of multifactor AHP integrated evaluating methods of tomography slip casting effect |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710249624.0A CN107067176A (en) | 2017-04-17 | 2017-04-17 | A kind of multifactor AHP integrated evaluating methods of tomography slip casting effect |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107067176A true CN107067176A (en) | 2017-08-18 |
Family
ID=59600082
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710249624.0A Pending CN107067176A (en) | 2017-04-17 | 2017-04-17 | A kind of multifactor AHP integrated evaluating methods of tomography slip casting effect |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107067176A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107832483A (en) * | 2017-08-30 | 2018-03-23 | 山东赛马力发电设备有限公司 | Diesel engine noise method for evaluating quality based on UDS and AHP |
| CN108590656A (en) * | 2018-04-02 | 2018-09-28 | 西安科技大学 | A kind of disaster-ridden member coupling hard-to-recovery reserve decoupling recovery method |
| CN111340325A (en) * | 2019-11-28 | 2020-06-26 | 中国电力科学研究院有限公司 | Method and system for evaluating service level of power transmission and transformation facility based on comprehensive evaluation index |
| CN111738616A (en) * | 2020-07-02 | 2020-10-02 | 湘潭大学 | Novel quantitative analysis method for quality improvement degree of loose filling body after grouting reinforcement |
| CN112884377A (en) * | 2021-03-30 | 2021-06-01 | 中煤能源研究院有限责任公司 | Slurry filling system optimal selection model and construction method |
| CN114723330A (en) * | 2022-05-06 | 2022-07-08 | 安徽理工大学 | Vegetation change influence factor evaluation method based on structural equation model |
| CN114814981A (en) * | 2022-05-20 | 2022-07-29 | 安徽恒源煤电股份有限公司 | Grouting reinforcement effect evaluation method and system for fault waterproof coal pillar exploitation |
| CN115112860A (en) * | 2022-06-27 | 2022-09-27 | 兰州理工大学 | Method for evaluating compatibility of earthen archaeological site crack grouting material and archaeological site soil body |
| CN116595838A (en) * | 2023-05-19 | 2023-08-15 | 中铁十六局集团第二工程有限公司 | Dolomite sand tunnel grouting effect evaluation method and system |
-
2017
- 2017-04-17 CN CN201710249624.0A patent/CN107067176A/en active Pending
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107832483A (en) * | 2017-08-30 | 2018-03-23 | 山东赛马力发电设备有限公司 | Diesel engine noise method for evaluating quality based on UDS and AHP |
| CN108590656A (en) * | 2018-04-02 | 2018-09-28 | 西安科技大学 | A kind of disaster-ridden member coupling hard-to-recovery reserve decoupling recovery method |
| CN108590656B (en) * | 2018-04-02 | 2019-10-01 | 西安科技大学 | A kind of disaster-ridden member coupling hard-to-recovery reserve decoupling recovery method |
| CN111340325A (en) * | 2019-11-28 | 2020-06-26 | 中国电力科学研究院有限公司 | Method and system for evaluating service level of power transmission and transformation facility based on comprehensive evaluation index |
| CN111738616A (en) * | 2020-07-02 | 2020-10-02 | 湘潭大学 | Novel quantitative analysis method for quality improvement degree of loose filling body after grouting reinforcement |
| CN112884377A (en) * | 2021-03-30 | 2021-06-01 | 中煤能源研究院有限责任公司 | Slurry filling system optimal selection model and construction method |
| CN114723330A (en) * | 2022-05-06 | 2022-07-08 | 安徽理工大学 | Vegetation change influence factor evaluation method based on structural equation model |
| CN114723330B (en) * | 2022-05-06 | 2024-05-24 | 安徽理工大学 | Vegetation change influence factor evaluation method based on structural equation model |
| CN114814981A (en) * | 2022-05-20 | 2022-07-29 | 安徽恒源煤电股份有限公司 | Grouting reinforcement effect evaluation method and system for fault waterproof coal pillar exploitation |
| CN114814981B (en) * | 2022-05-20 | 2022-11-29 | 安徽恒源煤电股份有限公司 | Grouting reinforcement effect evaluation method and system for fault waterproof coal pillar exploitation |
| CN115112860A (en) * | 2022-06-27 | 2022-09-27 | 兰州理工大学 | Method for evaluating compatibility of earthen archaeological site crack grouting material and archaeological site soil body |
| CN116595838A (en) * | 2023-05-19 | 2023-08-15 | 中铁十六局集团第二工程有限公司 | Dolomite sand tunnel grouting effect evaluation method and system |
| CN116595838B (en) * | 2023-05-19 | 2024-03-22 | 中铁十六局集团第二工程有限公司 | Dolomite sand tunnel grouting effect evaluation method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107067176A (en) | A kind of multifactor AHP integrated evaluating methods of tomography slip casting effect | |
| CN103268420B (en) | A kind of method for evaluating hazard of high rock slope | |
| CN110069878B (en) | Quantitative scoring and optimizing method for well drilling completion plugging material | |
| CN107387051B (en) | Repeated fracturing well selection method for multi-stage fractured horizontal well with low-permeability heterogeneous oil reservoir | |
| CN112308360A (en) | Rock foundation pit safety evaluation method based on entropy weight method correction AHP method | |
| CN104298883A (en) | Establishment method for hydrocarbon source rock hydrocarbon production rate charts in petroleum resource assessment | |
| CN107016620A (en) | A kind of Assessment of Water-bearing Fault method based on step analysis | |
| CN111445156B (en) | Bias tunnel construction safety evaluation method based on variable weight fuzzy comprehensive evaluation | |
| CN103177187B (en) | Based on the vcehicular tunnel health status dynamic evaluation method of variable fuzzy sets theory | |
| CN108710984A (en) | A kind of Mine Geo-environment evaluation method and system | |
| CN104636612A (en) | Karst tunnel water outburst and mud outburst overall process gradual dynamic risk assessment method | |
| CN110147561A (en) | A kind of oil and gas reservoir volume fracturing of densification containing intrinsic fracture seam net prediction technique | |
| CN111242499A (en) | Existing tunnel lining structure disease evaluation method based on hierarchy-extension analysis | |
| CN113570226A (en) | Method for evaluating occurrence probability grade of tunnel water inrush disaster in fault fracture zone | |
| CN108319738A (en) | A kind of shale gas well yield prediction technique | |
| CN103454139A (en) | Determination method for key influence factors and important degree of dilatation of gas-containing coal-rock mass | |
| CN112100851A (en) | Method for evaluating tunnel water inrush disaster risk based on set pair analysis | |
| CN109359374A (en) | The Secondary Fuzzy Comprehensive Evaluation method of evaluating coal seam bottom water bursting | |
| CN112907130A (en) | Construction risk grade determination method, device and medium based on shield construction parameters | |
| CN106971268A (en) | A kind of bridge construction Qualitative risk evaluation method of comprehensive AHP and FCE | |
| Abu-Farsakh | Calibration of resistance factors for drilled shafts for the new FHWA design method:[tech summary]. | |
| CN110080818A (en) | A kind of mine leave ore pillar classification filling recovery method | |
| CN116468282A (en) | Tunnel burst water risk level assessment method | |
| CN107609728A (en) | A kind of bottom plate resistance water isolating evaluation method based on AHP | |
| CN112488463A (en) | Landslide evaluation method based on combined weighting method and good-bad solution distance method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170818 |
|
| WD01 | Invention patent application deemed withdrawn after publication |