High-rise building structure system type selection method and system

Abstract

The invention discloses a high-rise building structure system type selection method, which comprises the following steps of: determining influence factors, classifying target-level factors of high-rise building structure system type selection, and decomposing the target-level factors into all levels of sub-factors until the sub-factors are specific and intuitive and are represented by alternative scheme attributes; a hierarchical structure model is established, a tree-shaped hierarchical structure model is established by applying an analytic hierarchy process, and the model is used for evaluating the index system; determining a weight coefficient, and determining the weight coefficient of each underlying index item for the high-rise building structure index system through an analytic hierarchy process; and fuzzy comprehensive evaluation: evaluating the evaluation object by adopting a fuzzy comprehensive evaluation method and combining with the weight determined by the analytic hierarchy process to obtain an evaluation result. According to the method provided by the invention, scientific and reasonable structural system type selection is realized by comprehensively considering the problems of various complex factors.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering, and in particular to a method and system for selecting a high-rise building structural system. Background Art

[0002] In today's rapidly developing society, science and information technology are advancing rapidly. Modern construction techniques and building materials are constantly improving, leading to the emergence of many new high-rise building structures, making the selection of structural systems increasingly difficult. High-rise building structure selection is an extremely complex decision-making problem, involving a significant amount of uncertainty, randomness, fuzziness, and unascertained information. It requires comprehensive consideration of numerous factors influencing the selection process to achieve the optimal design. In the past, the selection of high-rise building structures primarily considered factors such as functional suitability, structural performance, construction characteristics, and technical and economic feasibility. However, with the development of society, intelligent buildings, green buildings, and prefabricated buildings are gaining increasing attention. Because these building types have only recently emerged, there is currently no comprehensive method specifically combining them to study high-rise building structure selection. Summary of the Invention

[0003] In view of the above problems existing in the prior art, the purpose of the present invention is to provide a method for selecting a high-rise building structural system to solve the problem in the prior art that it is difficult to comprehensively consider multiple complex factors in the selection of high-rise building structures, and to achieve scientific and reasonable structural system selection.

[0004] Another object of the present invention is to provide a system for selecting a high-rise building structural system.

[0005] To solve the above problems, the present invention adopts the following technical solution: a method for selecting a high-rise building structural system, the method comprising the steps of:

[0006] Identify the influencing factors, classify the target-level factors for the selection of high-rise building structural systems, and decompose the target-level factors into sub-factors at all levels until they are specific and intuitive, and are represented by the attributes of alternative options;

[0007] Establishing a hierarchical structure model, using the hierarchical analysis method to establish a tree-like hierarchical structure model, the model is used for the evaluation index system;

[0008] Determine the weight coefficient, and determine the weight coefficient of each bottom-level index item for the high-rise building structure index system through the hierarchical analysis method;

[0009] Fuzzy comprehensive evaluation: Use the fuzzy comprehensive evaluation method, combined with the weights determined by the hierarchical analysis method, to evaluate the evaluation object and obtain the evaluation results.

[0010] In some embodiments, the selection of the high-rise building structural system is classified based on the target factors of the functional adaptability of the structure, the performance of the structure, the construction characteristics of the structure, the economic characteristics of the structure, the building intelligent characteristics of the structure, the green energy-saving characteristics of the structure, and the prefabrication and assembly characteristics of the structure.

[0011] In some embodiments, the weight determination system comprises the following steps: determining a scale for quantifying thinking and judgment to measure the relative importance of each level of factors;

[0012] Construct a judgment matrix and use the pairwise comparison method to score each relative element;

[0013] To calculate the weight, the sum method is used to normalize the column vector and approximate the arithmetic mean as the weight vector;

[0014] Perform consistency test and use consistency ratio index to determine whether the matrix satisfies order consistency.

[0015] In some embodiments, the fuzzy comprehensive evaluation method includes: determining an evaluation object set, a factor set, and a comment set;

[0016] Establish an evaluation factor weight analysis matrix and process it according to the normalization principle;

[0017] Establish a fuzzy judgment matrix, where the elements are the degree of membership of the object on the factor with respect to the comment;

[0018] Calculate the judgment result matrix, which is obtained by synthesizing the weight analysis matrix and the fuzzy judgment matrix;

[0019] Calculate the comprehensive score of the evaluation object, obtain the optimal ranking of the fuzzy evaluation, and obtain the final evaluation result.

[0020] In some embodiments, the process also includes step analysis and verification, and performing economic comparative analysis based on the final evaluation results obtained through fuzzy comprehensive evaluation.

[0021] This application proposes a system for implementing the high-rise building structural system selection method described in claim 1, the system comprising:

[0022] The factor determination module is used to classify the target-level factors for the selection of high-rise building structural systems into seven categories and decompose them into sub-factors at various levels;

[0023] Model building module, using the analytic hierarchy process to build a tree-like hierarchical structure;

[0024] The weight determination module determines the weight coefficient of each bottom-level indicator item for the high-rise building structure indicator system through the hierarchical analysis method, including determining the scale, constructing the judgment matrix, calculating the weight and consistency test;

[0025] Comprehensive evaluation module: adopts fuzzy comprehensive evaluation method, combined with the weights determined by hierarchical analysis method, to evaluate the evaluation object, including determining the object set, factor set and comment set, establishing weight analysis matrix and fuzzy judgment matrix, and calculating the judgment result matrix and comprehensive score.

[0026] In some embodiments, an example analysis module is also included, which constructs a hierarchical structure model for any specific project, determines indicator weights, organizes expert scoring, conducts fuzzy comprehensive evaluation and economic comparative analysis, and verifies the feasibility of the method.

[0027] In some embodiments, the implementation method of the system includes:

[0028] The factor determination module receives high-rise building-related information input by the user, classifies the target-level factors for structural system selection according to preset rules, and automatically decomposes them into sub-factors at various levels and stores them in the system database;

[0029] The model building module obtains factor information from the database, uses the hierarchical analysis method to build a tree-like hierarchical structure model, stores the model data in the database, and provides a visual interface to display the model structure;

[0030] The weight determination module reads the hierarchical model information from the database, determines the scale for quantitative thinking and judgment according to the steps of the hierarchical analysis method, constructs the judgment matrix, calculates the weight using the sum method, and performs consistency testing. The calculated weight coefficients and test results are stored in the database;

[0031] The comprehensive evaluation module obtains information such as the evaluation object set, factor set, comment set, weight coefficient, etc. from the database, establishes the evaluation factor weight analysis matrix and the fuzzy judgment matrix, calculates the judgment result matrix and the comprehensive score through matrix operations, obtains the final evaluation results and stores them in the database, and provides a visual interface to display the evaluation process and results.

[0032] In some embodiments, it also includes the work of the instance analysis module, importing specific project data, calling other module functions to construct a hierarchical structure model, determine indicator weights, perform fuzzy comprehensive evaluation and economic comparative analysis operations; compare and verify the instance analysis results with the standard results stored in the database, output a verification report, and demonstrate the feasibility of the fuzzy comprehensive evaluation method.

[0033] Compared with the prior art, the beneficial technical effects of the present invention are:

[0034] 1. Comprehensive consideration of multiple factors: The present invention comprehensively considers multiple influencing factors such as intelligent buildings, green buildings, prefabricated buildings, etc. in the selection of high-rise building structural systems, making the selection more scientific and reasonable.

[0035] 2. Improve the accuracy of selection: Determine the weight coefficient through the hierarchical analysis method and combine it with the fuzzy comprehensive evaluation method for evaluation, which can effectively deal with the uncertainty and ambiguity of factors and improve the accuracy of selection.

[0036] 3. Verification of the feasibility of the method: Through the analysis of actual engineering examples, the fuzzy comprehensive evaluation results were compared with the economic comparative analysis and the results of the expert review meeting, which verified the feasibility of this method and it has high practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the fuzzy comprehensive evaluation process;

[0038] Figure 2 It is a schematic diagram of the correspondence between evaluation factors and evaluation results;

[0039] Figure 3 This is a schematic diagram of the fuzzy comprehensive evaluation process for selecting the structural system of a high-rise building;

[0040] Figure 4 It is a performance model for high-rise building structure selection schemes. DETAILED DESCRIPTION

[0041] The technical solution of the present invention will be further described in detail below with reference to the embodiments and drawings.

[0042] Example

[0043] See also Figure 3 A method for selecting a high-rise building structural system is provided, comprising the following steps:

[0044] Identify the influencing factors, classify the target-level factors for the selection of high-rise building structural systems, and decompose the target-level factors into sub-factors at all levels until they are specific and intuitive, and are represented by the attributes of alternative options;

[0045] Establishing a hierarchical structure model, using the hierarchical analysis method to establish a tree-like hierarchical structure model, the model is used for the evaluation index system;

[0046] Determine the weight coefficients and use the analytic hierarchy process to determine the weight coefficients of each bottom-level index item for the high-rise building structure index system; the specific steps are: determine the scale for quantitative thinking and judgment to measure the relative importance of each level of factors;

[0047] Construct a judgment matrix and use the pairwise comparison method to score each relative element;

[0048] To calculate the weight, the sum method is used to normalize the column vector and approximate the arithmetic mean as the weight vector;

[0049] Perform consistency test and use consistency ratio index to determine whether the matrix satisfies order consistency.

[0050] like Figure 1 As shown, fuzzy comprehensive evaluation: the fuzzy comprehensive evaluation method is used, combined with the weights determined by the hierarchical analysis method, to evaluate the evaluation object and obtain the evaluation results;

[0051] The specific steps are: determine the evaluation object set, factor set and comment set;

[0052] Establish an evaluation factor weight analysis matrix and process it according to the normalization principle;

[0053] like Figure 2 As shown in the figure, based on the corresponding relationship between the evaluation factors and the evaluation results, a fuzzy judgment matrix is established, in which the elements are the degree of membership of the object on the factor with respect to the comment;

[0054] Calculate the judgment result matrix, which is obtained by synthesizing the weight analysis matrix and the fuzzy judgment matrix;

[0055] Calculate the comprehensive score of the evaluation object, obtain the optimal ranking of the fuzzy evaluation, and obtain the final evaluation result;

[0056] Analysis and verification, comparative analysis is conducted on the final evaluation results based on fuzzy comprehensive evaluation.

[0057] Example 1

[0058] Steps in the selection method of high-rise building structural system:

[0059] Determine influencing factors: Categorize the structure according to seven target-level factors: functional adaptability, performance, construction characteristics, economic characteristics, building intelligence characteristics, green energy-saving characteristics, and prefabrication and assembly characteristics. These target-level factors are first-level factors. These factors are further broken down into sub-factors at each level, each of which is a second-level factor. For example, the functional adaptability of the structure can be broken down into sub-factors such as reflecting a modern architectural style, facilitating architectural features and shapes, and providing a large building space, as shown in Table 1.

[0060] Table 1

[0061]

[0062] Table 1 shows the hierarchical structure model of the project structure

[0063] 2. Establish a hierarchical model: Take the Shanghai headquarters construction project of a certain group as an example. Figure 4 As shown in the figure, a tree-like hierarchical structure model is constructed, with the overall goal "comprehensive performance of the structural selection scheme for a certain group's Shanghai headquarters construction project" as the highest level, seven types of target-level factors as the middle level, and sub-factors at all levels as the bottom level.

[0064] 3. Determine the weight coefficient

[0065] ① Determine the scale: Use the 1-9 scale proposed by Saaty to measure the relative importance of factors, for example, 1 means the factor is equally important, 3 means it is slightly more important, etc.

[0066] ② Constructing a judgment matrix: Using the pairwise comparison method to score factors at different levels, we can obtain multiple judgment matrices, such as the judgment matrix of each indicator at the first level and the judgment matrix of each indicator of the functional applicability of the structure;

[0067] ③ Calculate weights: Taking the calculation of weights for judgment matrix A - B as an example, the sum method is used. First, normalize the judgment matrix, calculate the sum of each column, and then divide each element by the sum of its column to obtain the normalized matrix; add the elements of each row of the normalized matrix and calculate the average to obtain the weight of each indicator;

[0068] ④Consistency test: Taking the judgment matrix A-B as an example, calculate the maximum eigenvalue of the judgment matrix, calculate the consistency index through the formula, and then compare it with the average random consistency index to calculate the consistency ratio.

[0069] At that time, the judgment matrix satisfies the order consistency, otherwise the judgment matrix needs to be adjusted; as shown in Table 2;

[0070] Table 2

[0071]

[0072] Table 2 shows the weight system of the example project structure evaluation index.

[0073] 4. Fuzzy comprehensive evaluation

[0074] S1. Determine the evaluation set: Determine the evaluation object set as the candidate high-rise building structural system, the factor set as the decomposed sub-factors at all levels, and the comment set as "excellent", "good", "average", and "poor";

[0075] S2. Establish weight analysis matrix: According to the weights determined by the hierarchical analysis method, establish the evaluation factor weight analysis matrix and perform normalization processing;

[0076] S3. Establish a Fuzzy Judgment Matrix: Organize five leading experts in the field of building structures to score various indicators and factors of the China National Nuclear Corporation Shanghai Headquarters construction project. Based on the sample values of each evaluation factor, use membership function formulas (such as level-level membership function and level-level membership function) to calculate the fuzzy judgment matrix;

[0077] S4. Calculate the judgment result matrix: synthesize the weight analysis matrix and the fuzzy judgment matrix, and use the common multiplication and addition model to perform operations to obtain the judgment result matrix;

[0078] S5. Calculate the comprehensive score: process the judgment result matrix, and calculate the weighted sum to obtain the comprehensive score based on the evaluation set where "excellent" is 10 points, "good" is 8 points, "average" is 6 points, and "poor" is 4 points, thus obtaining the final evaluation result.

[0079] 5. Example analysis and verification

[0080] Structural hierarchical structure model: According to the principle of system hierarchy, combined with the construction project of a certain group's Shanghai headquarters, the functional applicability, stress characteristics, construction characteristics, economic characteristics, building intelligence characteristics, green characteristics, prefabrication and assembly characteristics of the structure are analyzed, and different factors are divided into different levels, and a two-level evaluation model is adopted.

[0081] Determine the indicator weights: Determine the weights of the first-level and second-level indicators respectively, normalize each judgment matrix, calculate the weights and perform consistency tests to obtain the overall weight system. See Table 3

[0082]

[0083] Table 3 shows the structural factors x expert scores of the D1 reinforced concrete frame shear wall used in the example project;

[0084]

[0085] Table 4 shows the expert scores for the structural factors of the example project using D2 steel structure outer frame and concrete core tube.

[0086] Fuzzy Comprehensive Evaluation of Structural Systems: Using reinforced concrete frame-shear wall structures and hybrid structures combining a steel outer frame with a concrete core as examples, sample matrices were determined and fuzzy judgment matrices were established. Matrix operations were performed to determine the judgment results, and first- and second-level fuzzy comprehensive evaluations were performed. Comprehensive evaluation results were obtained based on the maximum membership principle. For example, the D1 reinforced concrete frame-shear wall structure received a "good" comprehensive evaluation score of 7.9; the D2 hybrid structure combining a steel outer frame with a concrete core received an "excellent" comprehensive evaluation score of 8.9506.

[0087] Comparative Economic Analysis: Based on project requirements, a comparative analysis of concrete and steel structural systems was conducted for one main building and one podium. The total construction cost of the prefabricated concrete building and the steel structural system was calculated, and parameters such as total mass, total dead load, concrete usage, steel usage, section steel usage, corrugated steel sheeting usage, the first three cycles, inter-story drift, and the cross-sectional dimensions of the main components of the standard floor were compared. The results showed that the steel structural system was slightly more expensive than the reinforced concrete system, but it offered advantages in terms of assembly efficiency and construction speed.

[0088] Expert Review Meeting Verification: The construction company convened an expert review meeting of eight experts in building structures. The review recommended the use of cast-in-place reinforced concrete for the underground portion, a steel-framed concrete core system for the tower, and a steel structure for the podium. The fuzzy comprehensive evaluation results were generally consistent with the economic comparative analysis and the expert review meeting, validating the feasibility of the fuzzy comprehensive evaluation method.

[0089] Example 2

[0090] Workflow of the high-rise building structural system selection system

[0091] 1. The factor determination module receives high-rise building-related information input by the user, classifies the target-level factors for structural system selection into seven categories based on preset rules, and automatically decomposes them into sub-factors at all levels and stores them in the system database.

[0092] 2. The model building module obtains factor information from the database, uses the hierarchical analysis method to build a tree-like hierarchical structure model, stores the model data in the database, and provides a visual interface to display the model structure.

[0093] 3. The weight determination module reads the hierarchical model information from the database, determines the quantitative scale of thinking judgment according to the steps of hierarchical analysis method, constructs the judgment matrix, calculates the weight using the sum method, and performs consistency test; the calculated weight coefficient and test results are stored in the database.

[0094] 4. The comprehensive evaluation module database obtains information such as the evaluation object set, factor set, comment set, weight coefficient, etc., establishes the evaluation factor weight analysis matrix and the fuzzy judgment matrix, calculates the judgment result matrix and the comprehensive score through matrix operations, obtains the final evaluation results and stores them in the database, and provides a visual interface to display the evaluation process and results.

[0095] 5. The case analysis module imports specific project data, such as information on a group's Shanghai headquarters construction project, and uses other module functions to construct a hierarchical structure model, determine indicator weights, perform fuzzy comprehensive evaluation, and conduct economic comparative analysis. The case analysis results are compared and verified with the standard results stored in the database, and a verification report is output, demonstrating the feasibility of the fuzzy comprehensive evaluation method.

[0096] Finally, it is necessary to point out here that the above is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the present invention within the technical scope disclosed by the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for selecting a high-rise building structural system, characterized in that: The method comprises the steps of: Identify the influencing factors, classify the target-level factors for the selection of high-rise building structural systems, and decompose the target-level factors into sub-factors at all levels until they are specific and intuitive, and are represented by the attributes of alternative options; Establishing a hierarchical structure model, using the hierarchical analysis method to establish a tree-like hierarchical structure model, the model is used for the evaluation index system; Determine the weight coefficient, and determine the weight coefficient of each bottom-level index item for the high-rise building structure index system through the hierarchical analysis method; Fuzzy comprehensive evaluation: Use the fuzzy comprehensive evaluation method, combined with the weights determined by the hierarchical analysis method, to evaluate the evaluation object and obtain the evaluation results.

2. A method for selecting a high-rise building structural system according to claim 1, characterized in that: The selection of the high-rise building structural system is classified based on the target factors of the functional adaptability of the structure, the performance of the structure, the construction characteristics of the structure, the economic characteristics of the structure, the building intelligent characteristics of the structure, the green energy-saving characteristics of the structure, and the prefabrication and assembly characteristics of the structure.

3. A method for selecting a high-rise building structural system according to claim 1, characterized in that: The specific steps of determining the weight system are as follows: determining a quantitative scale for thinking and judgment to measure the relative importance of each level of factors; Construct a judgment matrix and use the pairwise comparison method to score each relative element; To calculate the weight, the sum method is used to normalize the column vector and approximate the arithmetic mean as the weight vector; Perform consistency test and use consistency ratio index to determine whether the matrix satisfies order consistency.

4. A method for selecting a high-rise building structural system according to claim 1, characterized in that: The specific evaluation method of the fuzzy comprehensive evaluation is as follows: determining the evaluation object set, factor set and comment set; Establish an evaluation factor weight analysis matrix and process it according to the normalization principle; Establish a fuzzy judgment matrix, where the elements are the degree of membership of the object on the factor with respect to the comment; Calculate the judgment result matrix, which is obtained by synthesizing the weight analysis matrix and the fuzzy judgment matrix; Calculate the comprehensive score of the evaluation object, obtain the optimal ranking of the fuzzy evaluation, and obtain the final evaluation result.

5. The method for selecting a high-rise building structure system according to claim 1, wherein: It also includes step analysis and verification, and comparative analysis of the final evaluation results based on fuzzy comprehensive evaluation.

6. A system for implementing the high-rise building structural system selection method according to claim 1, characterized in that: The system comprises: The factor determination module is used to classify the target-level factors for the selection of high-rise building structural systems into seven categories and decompose them into sub-factors at various levels; Model building module, using the analytic hierarchy process to build a tree-like hierarchical structure; The weight determination module determines the weight coefficient of each bottom-level indicator item for the high-rise building structure indicator system through the hierarchical analysis method, including determining the scale, constructing the judgment matrix, calculating the weight and consistency test; Comprehensive evaluation module: adopts fuzzy comprehensive evaluation method, combined with the weights determined by hierarchical analysis method, to evaluate the evaluation object, including determining the object set, factor set and comment set, establishing weight analysis matrix and fuzzy judgment matrix, and calculating the judgment result matrix and comprehensive score.

7. A high-rise building structural system selection system according to claim 6, characterized in that: It also includes a case analysis module, which takes any specific project to construct a hierarchical structure model, determine indicator weights, organize experts to score, conduct fuzzy comprehensive evaluation and economic comparative analysis, and verify the feasibility of the method.

8. A high-rise building structural system selection system according to claim 6, characterized in that: The implementation method of the system includes: The factor determination module receives high-rise building-related information input by the user, classifies the target-level factors for structural system selection according to preset rules, and automatically decomposes them into sub-factors at various levels and stores them in the system database; The model building module obtains factor information from the database, uses the hierarchical analysis method to build a tree-like hierarchical structure model, stores the model data in the database, and provides a visual interface to display the model structure; The weight determination module reads the hierarchical model information from the database, determines the scale for quantitative thinking and judgment according to the steps of the hierarchical analysis method, constructs the judgment matrix, calculates the weight using the sum method, and performs consistency testing. The calculated weight coefficients and test results are stored in the database; The comprehensive evaluation module obtains information such as the evaluation object set, factor set, comment set, weight coefficient, etc. from the database, establishes the evaluation factor weight analysis matrix and the fuzzy judgment matrix, calculates the judgment result matrix and the comprehensive score through matrix operations, obtains the final evaluation results and stores them in the database, and provides a visual interface to display the evaluation process and results.

9. A high-rise building structural system selection system according to claim 8, characterized in that: It also includes the work of the case analysis module, importing specific project data, calling other module functions to construct hierarchical structure models, determine indicator weights, perform fuzzy comprehensive evaluation and economic comparative analysis operations; compare and verify the case analysis results with the standard results stored in the database, output a verification report, and demonstrate the feasibility of the fuzzy comprehensive evaluation method.

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