A green support system evaluation method considering carbon emissions
Through pre-construction evaluation and post-construction evaluation, combined with the rank sum ratio comprehensive evaluation method and carbon emission monitoring, the problem of lack of evaluation standards for green support systems was solved, quantitative green rating and optimal selection of foundation pit support systems were achieved, and the application of green construction technology was promoted.
Patent Information
- Application Number
- CN202411559491.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-04
- Publication Date
- 2025-09-26
- Estimated Expiration
- 2044-11-04
AI Technical Summary
The existing technology lacks standards and methods for evaluating green support systems, resulting in the inability to quantify the carbon reduction effects of emerging green support forms and green construction technologies, hindering the promotion and application of green support selection and construction technologies.
A green support system evaluation method that takes carbon emissions into consideration is provided. Through pre-construction evaluation and post-construction re-evaluation, a rank sum ratio comprehensive evaluation method is used to establish a multi-evaluation index optimization model, including safety, economy and green indicators, to determine the support selection scheme, and a green rating is performed through carbon emission monitoring throughout the support process.
It realizes the quantitative evaluation of foundation pit support system, provides differentiated evaluation indicators, helps to quickly select green support schemes that take into account both safety and economy, reduces subsequent adjustments, and promotes green and carbon-reducing development.
Smart Images

Figure CN119648021B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of green support systems, and in particular to a green support system evaluation method taking carbon emissions into consideration. Background Art
[0002] Currently, ultra-deep foundation pits often use retaining piles, ground-connected walls, and double-row piles as retaining elements to control deformation. Reinforced concrete internal supports and anchor cables serve as support and anchoring components. This results in a significant consumption of steel and concrete in foundation pit projects. However, as temporary structures, foundation pit projects only have a service life of one to two years. After basement construction is complete, the support piles, ground-connected walls, and anchor cables are abandoned underground. Temporary horizontal supports must be removed by cutting or blasting, generating significant amounts of construction waste. Over this timeframe, foundation pit projects generate extremely high annual carbon emissions.
[0003] In line with the demands of the times, green support design and construction are a future trend. However, there are currently no standards or methods for evaluating green support systems. Support scheme selection focuses solely on safety, affordability, and applicability, and the carbon reduction effects of emerging green support forms and green construction technologies remain quantifiable. This hinders the promotion and application of emerging green support selection and construction technologies, and is detrimental to the green and carbon reduction development of the geotechnical industry. Summary of the Invention
[0004] The purpose of the present invention is to provide a green support system evaluation method taking carbon emissions into consideration to solve the problems raised in the above background technology.
[0005] To achieve the above-mentioned purpose, the present invention provides a green support system evaluation method considering carbon emissions, comprising the following steps: step S1, conducting a pre-construction evaluation in the support scheme selection and demonstration stage to determine the preferred scheme for the support selection scheme; step S2, establishing an industry green support evaluation benchmark; and step S3, conducting a post-construction re-evaluation after the structure is constructed to zero or above and the fertilizer tank is backfilled to determine the green rating of the specific engineering support system; wherein, in step S1, the pre-construction evaluation includes: using the rank sum ratio comprehensive evaluation method to establish a multi-evaluation index optimization model, and the evaluation index includes the safety index S i , Economic index E i and green index G i , green index G of pre-assessment before construction i The calculation adopts the estimated carbon emission value obtained based on the support design drawings and scheme; in step S3, the post-construction evaluation includes: determining the green rating of the specific support project, and the evaluation index is the green index G of the specific project. s , the green index G of a specific project for post-construction re-evaluation s The final value of carbon emissions is calculated using instrument monitoring throughout the support process.
[0006] In a preferred embodiment, in step S2, before the pre-construction evaluation, an industry green support evaluation benchmark is established, including the following steps:
[0007] S21. Select multiple support projects with different depths and support forms in different regions and calculate the green index Gi;
[0008] S22. Group the selected support projects according to the foundation pit depth and region. The foundation pit depth grouping principle is h<5m, 5≤h≤10m, h>10m. The region grouping principle is hard soil area, general soft soil area, and deep silt area.
[0009] S23. Calculate the green index G in each group using the comprehensive rank sum method i The green index G corresponding to the corrected RSR values of 80%, 65%, and 50% is selected. i It serves as the benchmark value for one-star, two-star and three-star green support systems, and forms an evaluation index table for the green support system of foundation pit projects.
[0010] In a preferred embodiment, the safety index S i is the stability safety factor of the support scheme; the economic index E i is the ratio of the carbon emissions C of the support project over its entire life cycle to the total cost W of the support scheme; the green index G i is the carbon emission per unit area of foundation pit sidewall, and the green index G i The calculation formula is as follows:
[0011] G i =C / A 侧 =C / [2×(L+B)×h], where C is the carbon emission of the support project throughout its life cycle, A 侧 is the total supporting side wall area of the project, L, B, and h are the length, width, and depth of the foundation pit respectively.
[0012] In a preferred embodiment, the carbon emissions C of the support project over its entire life cycle include the carbon emissions of the support material production and transportation stage (P&T), the carbon emissions of the support construction and demolition (including fertilizer trough backfilling) stage (C&D), and the carbon emissions of the support use stage (U). The calculation formula for the carbon emissions C of the support project over its entire life cycle is as follows: C = C PT +C CD +C U -C O , where C PT is the carbon emissions from the material production and transportation stage (P&T) C PT The calculation formula is:
[0013] C PT =C P+C T ,
[0014]
[0015] Among them, C P is the carbon emission during the material production stage; C T M is the carbon emission during the material transportation stage; i is the consumption of the i-th main material, determined by consulting the design drawings and relevant technical data; F i is the carbon emission factor of the i-th main material; δ i is the turnover coefficient of the i-th material, which is related to the material service life, support cycle, and loss rate. The turnover coefficient of non-turnover materials is 1.0; D i is the average transportation distance of the i-th material, including the material entry and exit; T i is the carbon emission factor per unit weight and transportation distance under the transportation mode of the i-th material.
[0016] In a preferred embodiment, the carbon emissions during the support construction and demolition (including fertilizer tank backfilling) stage (C&D) are C CD The calculation formula is:
[0017]
[0018] Among them, E CD ,i is the total energy consumption of the i-th type during the support construction and demolition stage; EF i is the carbon emission factor of the i-th energy source;
[0019] Carbon emissions during the support use phase (U) C U The calculation formula is:
[0020]
[0021] Among them, E U ,i is the total energy consumption of the i-th type in the support use stage. The energy consumed in the support use stage is mainly the energy consumed by the operation of precipitation equipment and monitoring equipment;
[0022] Carbon offset O The calculation formula is:
[0023] C O =C KZS +C QT ;
[0024] Among them, C KZS Carbon reduction for renewable energy, C QT Reduce carbon emissions in other ways.
[0025] In a preferred embodiment, in step S1, the pre-job evaluation includes the following steps:
[0026] S11. The safety indicators of the n support schemes are S1, S2, S3, etc., the economic indicators are E1, E2, E3, etc., and the green indicators are G1, G2, G3, etc., among which the safety indicator is a positive indicator and is sorted from small to large; the economic indicator and green indicator are negative indicators and are sorted from large to small;
[0027] S12. Pre-judgment of the safety index: if the stability safety factor of the support scheme meets the requirements of relevant standards and local documents, the original value is used; if not, the value is set to 0;
[0028] S13, arrange the three evaluation indicators of n support schemes into a data table with n rows and 3 columns, and calculate the rank of each evaluation object for each indicator. For the same indicator data, calculate the average rank, and obtain the rank matrix R = (R ij ) 3×n ;
[0029] S14. Calculate the comprehensive evaluation score RSR of each support scheme:
[0030]
[0031] Among them, i represents a certain support scheme, j represents the sequence number of each indicator, ω j is the weight of a certain indicator, n is the number of support schemes, and according to the statistical method, the safety index is 0.2, the economic index is 0.3, and the green index is 0.5;
[0032] S15. Determine the RSR distribution using the cumulative frequency of the probability unit Probit expression value and calculate the regression equation;
[0033] S16. Calculate the corrected RSR value, sort the corrected RSR values from small to large, and determine the support scheme with the largest corrected RSR value as the preferred support selection scheme.
[0034] In step S15, the cumulative frequency of the expression value in the probability unit Probit is used to determine the RSR distribution, and the regression equation is calculated, including: compiling an RSR frequency distribution table, listing the frequency f of each group, and calculating the cumulative frequency Σf of each group; ranking the RSR of each group; calculating the cumulative frequency: average rank / n*100%, and correcting the last item using 1-1 / 4n; converting the cumulative frequency into the probability unit Probit; using the probability unit Probit as the independent variable and the RSR value as the dependent variable, calculating the linear regression equation: RSR=a+b×Probit.
[0035] In a preferred embodiment, in step S16, calculate the corrected RSR value, sort the corrected RSR values from smallest to largest, and determine that the support plan with the largest corrected RSR value is the preferred plan in the support selection plan, including: substituting Probit into the regression equation, calculating the corrected RSR value, sorting the corrected RSR values from smallest to largest, and the support plan with the largest corrected RSR value is the preferred plan in the support selection plan. If the largest corrected RSR value < 50%, then all support plans do not meet the requirements of green support, and a new support design plan needs to be determined.
[0036] In a preferred embodiment, in step S3, the post-construction re-evaluation includes the following steps:
[0037] S31. After the backfill of the side trench, collect and sort out the carbon emission values obtained from the instrument monitoring throughout the support process, the completion drawings and relevant technical materials, and calculate the greenness index G of a specific project s ;
[0038] S32. Compare the greenness index G of a specific project s with the values in the evaluation index table of the green support system for foundation pit projects: within the depth and regional grouping that the specific project conforms to, if G s ≤ 80% of the G corresponding to the corrected RSR value i , then the support system of the specific project is one-star; if 80% of the G corresponding to the corrected RSR value i < G s ≤ 65% of the G corresponding to the corrected RSR value i , then the support system of the specific project is two-star; if 65% of the G corresponding to the corrected RSR value Gi < Gs ≤ 50% of the G corresponding to the corrected RSR value i , then the support system of the specific project is three-star.
[0039] In a preferred embodiment, it further includes: evaluating the completion effect of the green design and construction of the foundation pit according to the deviation between the post-construction re-evaluation and the pre-construction pre-evaluation results, formulating treatment measures for projects with a result deviation greater than or equal to two levels, and the treatment measures include converting the carbon emission difference into the main project.
[0040] Compared with the prior art, the beneficial effects of the present invention are: The present invention proposes an index and method for quantitatively evaluating the greenness of the foundation pit support system. At the same time, it gives differential evaluation indexes for different regions and different depths, and establishes a multi-index optimization model considering carbon emissions in the support plan selection and demonstration stage, which is convenient for quickly determining a green support plan that takes into account both safety and economy in the early stage, thus avoiding repeated adjustments in the later stage. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] Figure 1 It is a flow chart of the evaluation method for the green support system considering carbon emissions of the present invention;
[0042] Figure 2 It is a schematic diagram of the foundation pit size of the present invention. DETAILED DESCRIPTION
[0043] The technical solutions in the embodiments of the present invention are described clearly and completely below. The embodiments of the present invention and all other embodiments obtained by persons of ordinary skill in the art without creative work are within the scope of protection of the present invention.
[0044] like Figure 1 As shown, the green support system evaluation method considering carbon emissions according to the preferred embodiment of the present invention includes the following steps:
[0045] Step S1: During the support scheme selection and demonstration stage, a pre-construction evaluation is conducted to determine the optimal support scheme.
[0046] Step S2: Establish an industry green support evaluation benchmark.
[0047] Step S3: After the structure is constructed to zero or above and the fertilizer trough is backfilled, a post-construction evaluation is conducted to determine the green rating of the specific engineering support system.
[0048] In step S1, the pre-assessment before construction includes: using the rank sum ratio comprehensive evaluation method to establish a multi-evaluation index optimization model, the evaluation index includes the safety index S i , Economic index E i and green index G i , safety index S i is the stability safety factor of the support scheme, and the economic index E i is the ratio of the carbon emissions C of the support project over its entire life cycle to the total cost of the support scheme W, that is, E i = C / W. Green index G of pre-assessment before construction i The calculation adopts the estimated carbon emission value based on the support design drawings and schemes. i is the carbon emission per unit area of foundation pit sidewall, and the green index G i The calculation formula is as follows:
[0049] G i =C / A 侧 =C / [2×(L+B)×h], where C is the carbon emission of the support project throughout its life cycle, A 侧 is the total supporting side wall area of the project, L, B, and h are the length, width, and depth of the foundation pit respectively.
[0050] The carbon emissions C of the support project over its entire life cycle include the carbon emissions of the support material production and transportation stage (P&T), the carbon emissions of the support construction and demolition (including fertilizer trough backfilling) stage (C&D), and the carbon emissions of the support use stage (U). The calculation formula for the carbon emissions C of the support project over its entire life cycle is as follows: C = C PT +C CD +C U -C O , where C PT is the carbon emissions from the material production and transportation stage (P&T) C PT The calculation formula is:
[0051] C PT =C P +C T ,
[0052]
[0053] Among them, C P is the carbon emission during the material production stage; C T M is the carbon emission during the material transportation stage; i is the consumption of the i-th main material, determined by consulting the design drawings and relevant technical data; F i is the carbon emission factor of the i-th main material; δ i is the turnover coefficient of the i-th material, which is related to the material service life, support cycle, and loss rate. The turnover coefficient of non-turnover materials is 1.0; D i is the average transportation distance of the i-th material, including the material entry and exit; T i is the carbon emission factor per unit weight and transportation distance under the transportation mode of the i-th material;
[0054] Carbon emissions during the support construction and demolition (including fertilizer trough backfilling) phase (C&D) C CD The calculation formula is:
[0055]
[0056] Among them, E CD ,i is the total energy consumption of the i-th type during the support construction and demolition stage; EF i is the carbon emission factor of the i-th energy source;
[0057] Carbon emissions during the support use phase (U) C U The calculation formula is:
[0058]
[0059] Among them, E U,i is the total energy consumption of the i-th type in the support use stage. The energy consumed in the support use stage is mainly the energy consumed by the operation of precipitation equipment and monitoring equipment;
[0060] Carbon offset O The calculation formula is:
[0061] C O =C KZS +C QT ;
[0062] Among them, C KZS Carbon reduction for renewable energy, C QT Reduce carbon emissions in other ways.
[0063] Step S2, establishing an industry green support evaluation benchmark, includes the following steps:
[0064] Step S21: Select multiple support projects with different depths and support forms in different regions and calculate the green index Gi;
[0065] Step S22: Excavation depth and geological conditions are important factors affecting the support systems of different projects. The above support projects are grouped according to excavation depth and region. The depth grouping principle is h < 5m, 5 ≤ h ≤ 10m, and h > 10m. The region grouping principle is hard soil areas such as Beijing and Shenzhen, generally soft soil areas such as Shanghai and Tianjin, and deep silt areas such as Zhuhai and Zhongshan.
[0066] Step S23: Calculate the green index G by applying the comprehensive rank sum method in each group. i The green index G corresponding to the corrected RSR values of 80%, 65%, and 50% is selected. i As the benchmark value for the one-star, two-star and three-star green support system, an evaluation index table for the green support system of foundation pit engineering is formed, as shown in the following table:
[0067]
[0068] Furthermore, in step S1, the pre-job evaluation includes the following steps:
[0069] Step S11: The safety indicators of the n support schemes are S1, S2, S3, etc., the economic indicators are E1, E2, E3, etc., and the green indicators are G1, G2, G3, etc., wherein the safety indicator is a positive indicator and is sorted from small to large; the economic indicator and the green indicator are negative indicators and are sorted from large to small; the economic indicator and the green indicator are negative indicators and are sorted from large to small;
[0070] S12. Pre-judgment of the safety index: if the stability safety factor of the support scheme meets the requirements of relevant standards and local documents, the original value is used; if not, the value is set to 0;
[0071] S13. Arrange the three evaluation indicators of n support schemes into a data table with n rows and 3 columns, and calculate the rank of each evaluation object for each indicator. For the same indicator data, calculate the average rank to obtain the rank matrix:
[0072] R=(R ij ) 3×n ;
[0073] S14. Calculate the comprehensive evaluation score RSR of each support scheme:
[0074]
[0075] Among them, i represents a certain support scheme, j represents the sequence number of each indicator, ω j is the weight of a certain indicator, n is the number of support schemes, and according to the statistical method, the safety index is 0.2, the economic index is 0.3, and the green index is 0.5;
[0076] S15. Determine the RSR distribution using the cumulative frequency of the probability unit Probit expression value and calculate the regression equation;
[0077] S16. Calculate the corrected RSR value, sort the corrected RSR values from small to large, and determine the support scheme with the largest corrected RSR value as the preferred support selection scheme.
[0078] Specifically, in step S15, the cumulative frequency of the expression value of the probability unit Probit is used to determine the RSR distribution, and the regression equation is calculated, including: compiling an RSR frequency distribution table, listing the frequency f of each group, and calculating the cumulative frequency Σf of each group; ranking the RSR of each group; calculating the cumulative frequency: average rank / n*100%, and the last item is corrected using 1-1 / 4n; converting the cumulative frequency into the probability unit Probit; using the probability unit Probit as the independent variable and the RSR value as the dependent variable, calculating the linear regression equation: RSR=a+b×Probit.
[0079] In step S16, the corrected RSR value is calculated, the corrected RSR values are sorted from small to large, and the support scheme with the largest corrected RSR value is determined as the preferred scheme among the support selection schemes, including: substituting Probit into the regression equation, calculating the corrected RSR value, sorting the corrected RSR values from small to large, and the support scheme with the largest corrected RSR value is determined as the preferred scheme among the support selection schemes. If the maximum corrected RSR value is <50%, all support schemes do not meet the green support requirements and the support design scheme needs to be re-determined.
[0080] In step S3, the post-construction re-evaluation includes: determining the green rating of a specific support project, and the evaluation index is the green index G of a specific project. s, the green index G of a specific project for post-construction re-evaluation s The calculation adopts the final value of carbon emissions, and the carbon emission value obtained through instrument monitoring of the entire support process and the calculated value of the completion drawing and related technical data are supplemented and verified with each other, and carbon offset from renewable energy is taken into account.
[0081] Furthermore, in step S3, the post-work review includes the following steps:
[0082] Step S31: After the fertilizer tank is backfilled, collect and organize the carbon emission values obtained by instrument monitoring during the entire support process, as well as the completion drawings and related technical data, and calculate the green index G of the specific project. s The carbon emission values obtained through instrument monitoring throughout the support process are supplemented and verified with the calculated values from the completion drawings and relevant technical data, and carbon offsets from renewable energy sources are taken into account;
[0083] Step S32: The green index G of the specific project s Compare with the values in the green support system evaluation index table for foundation pit engineering: within the depth and area grouping that this particular project meets, if G s ≤80% corrected RSR value corresponds to G i , then the specific engineering support system is one star; if the 80% corrected RSR value corresponds to G i <G s ≤65% corrected RSR value corresponds to G i , then the support system of this particular project is two-star; 65% corrected RSR value corresponds to G i <G s ≤50% corrected RSR value corresponds to G i , then the support system of this particular project is three-star.
[0084] Step S33: Evaluate the green design and construction completion effect of the foundation pit based on the deviation between the post-construction re-evaluation and pre-construction evaluation results, and formulate treatment measures for projects with a result deviation greater than or equal to two levels, such as converting the carbon emission difference to the main project.
[0085] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.
Claims
1. A green support system evaluation method considering carbon emissions, characterized by: The steps include: Step S1: During the support scheme selection and demonstration stage, a pre-construction evaluation is conducted to determine the optimal support scheme; Step S2: Establishing an industry green support evaluation benchmark; Step S3: After the structure is constructed to zero or above and the fertilizer tank is backfilled, a post-construction evaluation is conducted to determine the green rating of the specific engineering support system; Among them, in step S1, the pre-assessment before construction includes: using the rank sum ratio comprehensive evaluation method to establish a multi-evaluation index optimization model, the evaluation index includes the safety index S i , Economic index E i and green index G i , green index G of pre-assessment before construction i The calculation adopts the estimated carbon emissions value obtained based on the support design drawings and plans; In step S3, the post-construction re-evaluation includes: performing a green rating of a specific support project, and the evaluation index of the post-construction re-evaluation is the green index G of the specific project. s , the green index G of a specific project for post-construction re-evaluation s Calculate the final carbon emission value obtained by instrument monitoring during the entire support process; In step S2, an industry green support evaluation benchmark is established, including the following steps: S21. Select multiple support projects with different depths and support forms in different regions and calculate the green index Gi; S22. Group the selected support projects according to the foundation pit depth and region. The foundation pit depth grouping principle is h<5m, 5≤h≤10m, h>10m. The region grouping principle is hard soil area, general soft soil area, and deep silt area. S23. Calculate the green index G in each group using the comprehensive rank sum method i The green index G corresponding to the corrected RSR values of 80%, 65%, and 50% is selected. i Serves as the benchmark value for one-star, two-star, and three-star green support systems, and forms an evaluation index table for green support systems for foundation pit projects; The safety index S i is the stability safety factor of the support scheme; the economic index E i is the ratio of the carbon emissions C of the support project over its entire life cycle to the total cost W of the support scheme; the green index G i is the carbon emission per unit area of foundation pit sidewall, and the green index G i The calculation formula is as follows: G i =C / A 侧 =C / [2×(L+B)×h], where C is the carbon emission of the support project throughout its life cycle, A 侧 is the total supporting side wall area of the project, L, B, and h are the length, width, and depth of the foundation pit respectively.
2. The green support system evaluation method considering carbon emissions according to claim 1 is characterized by: The carbon emissions C of the support project over its entire life cycle include the carbon emissions during the production and transportation of support materials, the carbon emissions during the support construction and demolition phase, and the carbon emissions during the support use phase. The calculation formula for the carbon emissions C of the support project over its entire life cycle is as follows: C = C PT +C CD +C U -C O , where C PT is the carbon emissions during the material production and transportation phase, and its calculation formula is: C PT =C P +C T , Among them, C P is the carbon emission during the material production stage; C T M is the carbon emission during the material transportation stage; i is the consumption of the i-th main material, determined by consulting the design drawings and relevant technical data; F i is the carbon emission factor of the i-th main material; δ i is the turnover coefficient of the i-th material, which is related to the material service life, support cycle, and loss rate. The turnover coefficient of non-turnover materials is 1.0; D i is the average transportation distance of the i-th material, including the material entry and exit; T i is the carbon emission factor per unit weight and transportation distance under the transportation mode of the i-th material.
3. The green support system evaluation method considering carbon emissions according to claim 2 is characterized by: Carbon emissions during support construction and demolition phases C CD The calculation formula is: Among them, E CD,i is the total energy consumption of the i-th type during support construction and demolition; EF i is the carbon emission factor of the i-th energy source; Carbon emissions during support use phase C U The calculation formula is: Among them, E U,i is the total energy consumption of the i-th type during the support use phase, which is mainly the energy consumed by the operation of precipitation equipment and monitoring equipment; Carbon offset O The calculation formula is: C O =C KZS +C QT ; Among them, C KZS Carbon reduction for renewable energy, C QT Reduce carbon emissions in other ways.
4. The green support system evaluation method considering carbon emissions according to claim 1 is characterized by: In step S1, the pre-job evaluation includes the following steps: S11. The safety indicators of the n support schemes are S1, S2, S3, etc., the economic indicators are E1, E2, E3, etc., and the green indicators are G1, G2, G3, etc., among which the safety indicator is a positive indicator and is sorted from small to large; the economic indicator and green indicator are negative indicators and are sorted from large to small; S12. Pre-judgment of the safety index: if the stability safety factor of the support scheme meets the requirements of relevant standards and local documents, the original value is used; if not, the value is set to 0; S13, arrange the three evaluation indicators of n support schemes into a data table with n rows and 3 columns, and calculate the rank of each evaluation object for each indicator. For the same indicator data, calculate the average rank, and obtain the rank matrix R = (R ij ) 3×n ; S14. Calculate the comprehensive evaluation score RSR of each support scheme: Among them, i represents a certain support scheme, j represents the sequence number of each indicator, ω j is the weight of a certain indicator, n is the number of support schemes, and according to the statistical method, the safety index is 0.2, the economic index is 0.3, and the green index is 0.5; S15. Determine the RSR distribution using the cumulative frequency of the probability unit Probit expression value and calculate the regression equation; S16. Calculate the corrected RSR value, sort the corrected RSR values from small to large, and determine the support scheme with the largest corrected RSR value as the preferred support selection scheme.
5. The green support system evaluation method considering carbon emissions according to claim 4 is characterized by: In step S15, the cumulative frequency of the expression value in the probability unit Probit is used to determine the RSR distribution, and the regression equation is calculated, including: compiling an RSR frequency distribution table, listing the frequency f of each group, and calculating the cumulative frequency Σf of each group; ranking the RSR of each group; calculating the cumulative frequency: average rank / n*100%, and correcting the last item using 1-1 / 4n; converting the cumulative frequency into the probability unit Probit; using the probability unit Probit as the independent variable and the RSR value as the dependent variable, calculating the linear regression equation: RSR=a+b×Probit.
6. The green support system evaluation method considering carbon emissions according to claim 5 is characterized by: In step S16, the corrected RSR value is calculated, the corrected RSR values are sorted from small to large, and the support scheme with the largest corrected RSR value is determined as the preferred scheme among the support selection schemes, including: substituting Probit into the regression equation, calculating the corrected RSR value, sorting the corrected RSR values from small to large, and the support scheme with the largest corrected RSR value is determined as the preferred scheme among the support selection schemes. If the maximum corrected RSR value is <50%, all support schemes do not meet the green support requirements and the support design scheme needs to be re-determined.
7. The green support system evaluation method considering carbon emissions according to claim 1 is characterized by: In step S3, post-work review includes the following steps: S31. After the fertilizer trough is backfilled, collect and organize the carbon emission values obtained from instrument monitoring during the entire support process, as well as the completion drawings and related technical data, and calculate the green index G of the specific project. s ; S32. The green index G of a specific project s Compare with the values in the green support system evaluation index table for foundation pit engineering: within the depth and area grouping that this particular project meets, if G s ≤80% corrected RSR value corresponds to G i , then the specific engineering support system is one star; if the 80% corrected RSR value corresponds to G i <G s ≤65% corrected RSR value corresponds to G i , then the support system of this particular project is two-star; 65% corrected RSR value corresponds to G i <G s ≤50% corrected RSR value corresponds to G i , then the support system of this particular project is three-star.
8. The green support system evaluation method considering carbon emissions according to claim 4 is characterized by: Also includes: The green design and construction completion effects of the foundation pit are evaluated based on the deviation between the post-construction re-evaluation and pre-construction evaluation results, and treatment measures are formulated for projects with result deviations greater than or equal to two levels. The treatment measures include converting the difference in carbon emissions to the main project.
Citation Information
Patent Citations
Design method of geogrid support system with carbon reduction and safety collaborative optimization
CN117010074A
Tunnel low-carbon construction scheme comparison and selection method
CN117909846A