Intelligent Calculation System and Method for Load Distribution of Basement Roof and Reinforcement Structure

Abstract

The present invention discloses an intelligent calculation system and method for load distribution of a basement top slab and a reinforcement structure. The system includes a stiffness calculation model for each floor slab of the basement, which is pre-trained based on machine learning technology and can output the stiffness of each floor slab of the basement after inputting the basement structure information and load information. It also includes a load distribution calculation model for calculating the stiffness of the support structures on each floor of the basement. The basement top slab, the support structures on each floor of the basement, and the floor slabs on each floor of the basement are simplified into a spring group to perform load distribution calculation on the acting load value F on the basement top slab. The calculation efficiency of the load distribution of the present invention is much higher than that of the traditional finite element calculation method; moreover, only a few simple parameters need to be collected to complete the calculation, and the operation is simpler; in addition, it can be applied to the calculation of different slab spans under any load length and width, covering more application scenarios and having the advantage of strong adaptability.

Description

Technical Field

[0001] The present invention relates to the load calculation of underground structures, and particularly to an intelligent calculation system and method for load distribution of a basement roof slab and a reinforcement structure. Background Art

[0002] During the construction process of buildings, various construction conditions often involve the basement roof slab structure as a load-bearing structure. In these construction conditions, the basement roof slab will bear various forms of loads, such as the load of the personnel and goods elevator, the load of the material yard, the load of the car crane outrigger, etc. When the load is large, support structures such as bent frames or steel structures are used for reinforcement. To determine whether the basement roof slab meets the stress requirements after reinforcement, it is necessary to clarify the load distribution relationship between the basement roof slab and the support structure.

[0003] Existing calculation methods often need to use finite element software to establish a structural model for checking. When calculating different working conditions, different finite element models need to be established, and modeling operations such as boundary condition setting, component information input, load information input, and mesh generation need to be repeated. The process is cumbersome and time-consuming; or the theoretical calculation method is used, assuming that the support structure has infinite stiffness for calculation, but in fact, the stiffness of the support structure will affect the load borne by the basement roof slab.

[0004] Therefore, it is necessary to propose a new intelligent calculation method for load distribution of the basement roof slab and its reinforcement structure. Summary of the Invention

[0005] The present invention provides an intelligent calculation system and method for load distribution of a basement roof slab and a reinforcement structure. Based on machine learning technology, it can quickly obtain the loads distributed by the basement roof slab structure and the reinforcement structure through simple parameter input, and can solve the problems of complex modeling process, long calculation time, and repeated calculation for different working conditions in the traditional finite element analysis method, as well as the problems of unreasonable theoretical assumptions and inaccurate calculation results.

[0006] To solve the above technical problems, the present invention includes the following technical solutions:

[0007] An intelligent calculation system for load distribution of a basement roof slab and a reinforcement structure, comprising:

[0008] A stiffness calculation model for each floor slab of the basement, pre-trained based on machine learning technology, which can output the stiffness of each floor slab of the basement after inputting the basement structure information and load information K b,i-1 , i = 1, 2, …, n , K b,0 is the stiffness of the basement roof slab, K b,1 ~K b,n-1 are the stiffnesses of the basement floor slabs from the 1st to n -1st basement floor respectively, n where is the total number of basement floors;

[0009] A load distribution calculation model is used to calculate the stiffness of the support structures on each basement floor K z,i , the basement top slab, the support structures on each basement floor, and the basement floor slabs are simplified into a spring group. The load value acting on the basement top slab F is subjected to load distribution calculation to obtain the loads borne by the basement floor slabs on each floor F b,i-1 and the loads borne by the support structures on each basement floor F z,i , where, F b,0 is the load borne by the basement top slab;

[0010] where, ,

[0011] In the formula, E z is the elastic modulus of the support structure material, A zi is the total cross-sectional area of the support structure on the i th floor, H i is the storey height of the i th basement floor.

[0012] Furthermore, when the number of basement floors is 1, the basement top slab and the support structure are simplified into a parallel spring group; when the number of basement floors is greater than or equal to 2, the basement top slab, the support structures on each floor, and the floor slabs on each floor are simplified into a series-parallel hybrid spring group. Specifically, the i -1st floor slab is regarded as the first spring, the support structure on the i th floor is regarded as the second spring, and the combination of the floor slabs and support structures on each floor below the support structure on the i th floor is regarded as the third spring. The third spring is in series with the second spring and then in parallel with the first spring.

[0013] Furthermore, , ( i = 1 to n ),

[0014] , ( i = 1 to n ),

[0015] In the formula, F b,0 is the load borne by the basement top slab,F b,1 ~ F b,n-1 are the loads borne by the basement floor slabs of the 1st to n -1st basement floors respectively, F z,i is the load borne by the support structure of the i th floor, K zeq,i is the combined stiffness of the support structure of the i th floor and all the support structures and floor slabs below it;

[0016] Among them, , ([[]] i = 1 to n -1).

[0017] Furthermore, when pre-training the stiffness calculation model of each basement floor slab, a training data set is first established. The training data set includes several groups of training data, and each group of training data includes basement structure information, load information, and the stiffness information of each basement floor slab.

[0018] Furthermore, the intelligent calculation system for load distribution of the basement top slab and reinforcement structure also includes an information collection and processing module, which is used to extract the basement structure information and load information from the existing data, and convert the units of the basement structure information and load information into preset standard units;

[0019] During pre-training, the information collection and processing module can also extract the stiffness information of each basement floor slab from the existing data, and convert the stiffness information of each basement floor slab into preset standard units.

[0020] Furthermore, the basement structure information includes: slab span length L , slab span width B , thickness of the basement top slab h b,0 , the thickness of the basement floor slab of the n th floor is denoted as h b,n , elastic modulus of the slab material E , Poisson's ratio of the slab material ν , number of basement floors n , among which, the units of slab span length L , slab span width B , thickness of the basement top slab h b,0 , the thickness of the basement floor slab of the n th floor is denoted as h b,n are unified as m, the unit of elastic modulus of the slab material E is MPa, Poisson's ratio of the slab material ν and the number of basement floorsn The unit is dimensionless;

[0021] The load information includes: the load value F , the load acting length L F , the load acting width B F , the relative distance between the load center and the slab center x and y ; The unit of the load value F is kN, the load acting length L F , the load acting width B F , and the relative distance between the load center and the slab center x and y are m.

[0022] Correspondingly, the present invention also provides an intelligent calculation method for load distribution of a basement top slab and a reinforcement structure. Using the intelligent calculation system for load distribution of the basement top slab and the reinforcement structure, the method includes the following steps:

[0023] Collect basement structure information and load information;

[0024] Input the collected basement structure information and load information into the stiffness calculation model of each floor slab of the basement. The stiffness calculation model of each floor slab of the basement outputs the stiffness of each floor slab of the basement K b,i-1 ;

[0025] The load distribution calculation model calculates the stiffness of each floor support structure of the basement K z,i , and combines K b,i-1 , K z,i to simplify the basement top slab, each floor support structure, and each floor slab into a spring group;

[0026] Based on the simplified spring group, the load distribution calculation model performs load distribution calculation on the acting load value F on the basement top slab, and obtains the load borne by each floor slab of the basement F b,i-1 , and the load borne by each floor support structure of the basement F z,i .

[0027] Furthermore, when the number of basement floors is 1, simplify the basement top slab and the support structure into a parallel spring group;

[0028] When the number of basement floors is greater than or equal to 2, the basement top slab, each layer of support structure, and each layer of floor slab are simplified into a spring group with a series-parallel hybrid connection. Specifically, the i -1 floor slab is regarded as the first spring, the i layer of support structure is regarded as the second spring, and the combination of each layer of floor slab and each layer of support structure below the i layer of support structure is regarded as the third spring. The third spring is connected in series with the second spring and then in parallel with the first spring.

[0029] Furthermore, , ( i = 1~ n ),

[0030] , ( i = 1~ n ),

[0031] In the formula, F b,0 is the load borne by the basement top slab, F b,1 ~ F b,n-1 are the loads borne by the basement floor slabs of the 1st to n -1st floors respectively, F z,i is the load borne by the i layer of support structure, K zeq,i is the combined stiffness of the i layer of support structure and all the support structures and floor slabs below it;

[0032] Among them, , ( i = 1~ n -1).

[0033] Furthermore, the stiffness calculation model of each basement floor slab is a pre-trained model. During pre-training, a training data set is first established. The training data set includes several groups of training data, and each group of training data includes basement structure information, load information, and the stiffness information of each basement floor slab;

[0034] The intelligent calculation system for load distribution of the basement top slab and reinforcement structure also includes an information acquisition and processing module. During pre-training, the information acquisition and processing module is used to extract basement structure information, load information, and the stiffness information of each basement floor slab from the existing data, and convert the units of the basement structure information, load information, and the stiffness information of each basement floor slab into preset standard units.

[0035] Due to the adoption of the above technical solutions, the present invention has the following advantages and positive effects compared with the prior art: The present invention can, based on the stiffness calculation model of each floor slab in the basement, quickly output the stiffness of each floor slab in the basement after inputting the basement structure information and load information. K b,i-1 Through the load distribution calculation model, the stiffness of the support structures on each floor in the basement can be quickly calculated. K z,i Combined with K b,i-1 and K z,i the basement top slab, the support structures on each floor in the basement, and the floor slabs on each floor in the basement are simplified into a spring group, thereby calculating the loads borne by the floor slabs on each floor in the basement. F b,i-1 as well as the loads borne by the support structures on each floor in the basement. F z,i The calculation efficiency of the present invention is much higher than that of the traditional finite element calculation method; moreover, the present invention only needs to collect a few simple parameters to complete the calculation, and the operation is simpler; in addition, the present invention can be applied to the calculation of different slab spans under any load length and width, and can cover various application scenarios including but not limited to the loads of personnel and cargo elevators, the reaction forces of truck cranes, material yards, etc., and also has the advantage of strong adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a schematic diagram of an intelligent calculation system for load distribution of a basement top slab and a reinforcement structure in an embodiment of the present invention;

[0037] Figure 2 is a schematic diagram of a simplified spring group when the number of basement floors is 1 in an embodiment of the present invention;

[0038] Figure 3 is a schematic diagram of a simplified spring group when the number of basement floors is 2 in an embodiment of the present invention;

[0039] Figure 4 is a schematic diagram of a simplified spring group when the number of basement floors is 3 or more in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] The following further details the intelligent calculation system and method for load distribution of a basement top slab and a reinforcement structure provided by the present invention in conjunction with the accompanying drawings and specific embodiments. In combination with the following description, the advantages and features of the present invention will be clearer. It should be noted that the drawings are all in a very simplified form and use non-precise scales, only for conveniently and clearly assisting in explaining the purpose of the embodiments of the present invention.

[0041] As Figure 1As shown in the figure, the intelligent calculation system for load distribution of the basement top slab and reinforcement structure provided in this embodiment includes a stiffness calculation model for each floor slab of the basement and a load distribution calculation module. The stiffness calculation model for each floor slab of the basement can output the stiffness of each floor slab of the basement after inputting the basement structure information and load information. The load distribution calculation model can perform load distribution calculations based on the support structure information and the stiffness of each floor slab of the basement output by the stiffness calculation model for each floor slab of the basement, and output the loads borne by the basement top slab, the support structure, and the basement floor slabs.

[0042] As an example, the basement structure information includes: the slab span length L , the slab span width B , the thickness of the basement top slab h b,0 , the thickness of the floor slab of the n th basement floor is denoted as h b,n , the elastic modulus of the slab material E , the Poisson's ratio of the slab material ν , the number of basement floors n , where the slab span length L , the slab span width B , the thickness of the basement top slab h b,0 , the thickness of the floor slab of the n th basement floor is denoted as h b,n have the unit of m, the elastic modulus of the slab material E has the unit of MPa, and the Poisson's ratio of the slab material ν and the number of basement floors n are dimensionless. The load information includes: the load value F , the load acting length L F , the load acting width B F , the relative distance between the load center and the plate center x and y ; the load value F has the unit of kN, the load acting length L F , the load acting width B F and the relative distance between the load center and the plate center x and y have the unit of m. The value range can also be set. For example, the value ranges of the slab span length L and the slab span width B are 1.5 m to 15 m, and the thickness of the basement top slab h b,0 and n the thickness of the floor slab of the hb,n The value range is from 0.01 m to 1 m, and the load acting length L F The value range is from 0.1 m to 0.5 L , and the load acting width B F The value range is from 0.1 m to 0.5 B , and the relative distance between the load center and the slab center x ( y ) The value range is from 0 m to 0.5 L ( B ).

[0043] The stiffness calculation model of each floor slab in the basement integrates machine learning functions, and the model form is not limited. Neural network models such as CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), and Transformer can be used to construct the stiffness calculation model of each floor slab in the basement. The stiffness calculation model of each floor slab in the basement is a pre-trained model. During pre-training, a training data set is first established. The training data set includes several groups of training data, and each group of training data includes basement structure information, load information, and the stiffness information of each floor slab in the basement. To ensure the training effect, the training data set needs to exceed 10,000 groups of training data. Preferably, the intelligent calculation system for load distribution of the basement roof and reinforcement structure further includes an information collection and processing module, which is used to extract the basement structure information and load information from the existing data, and perform unit conversion on the basement structure information and load information. During pre-training, in addition to the aforementioned functions, it can also extract the stiffness information of each floor slab in the basement from the existing data and perform unit conversion on the stiffness information of each floor slab in the basement. Among them, the stiffness information of each floor slab in the basement includes the stiffness of the basement roof K b,0 、the stiffness of the floor slab of the i th basement floor K b,i , i = 1, 2, …, n , n where K b,0 、 K b,i is the total number of basement floors. During pre-training, optimization algorithms such as SGD and Adam can be used. When the target loss function reaches the pre-set expected value, the training can be stopped. After training is completed, after inputting the basement structure information and load information into the stiffness calculation model of each floor slab in the basement, the model can output the stiffness of each floor slab in the basement, including

[0044] The load distribution calculation module internally presets the stiffness of the support structure of the i th basement floor Kz,i Calculation formula, where,

[0045] ,

[0046] In the formula, E z is the elastic modulus of the support structure material, F z,i is the i th floor support structure's share of the load, A zi is the i th floor support structure's total cross-sectional area, H i is the i th basement floor height.

[0047] The load distribution calculation module also presets the calculation formula for the load shared by the basement top slab F b,0 , the calculation formula for the load shared by the first floor support structure F z,1 , and the calculation formula for the load shared by the i th floor support structure F z,i .

[0048] As Figure 2 shown, when the number of basement floors is 1, the load F is shared by the basement top slab and the first floor support structure. Since their displacement deformations are the same, the two can be regarded as a parallel spring group. Among them:

[0049] The calculation formula for the load shared by the basement top slab F b,0 is:

[0050] ,

[0051] The calculation formula for the load shared by the first basement floor support F z,1 is:

[0052] .

[0053] As Figure 3 shown, when the number of basement floors is 2, the load F is shared by 4 structures: the basement top slab, the first floor support structure, the first basement floor slab, and the second floor support structure. Since the top of the first floor support structure has the same displacement as the basement top slab, and the top of the second floor support structure has the same displacement as the first basement floor slab, the 4 structures can be regarded as a series-parallel hybrid spring group. Among them:

[0054] The calculation formula for the load shared by the basement top slabF b,0 The calculation formula is:

[0055] ,

[0056] The load borne by the first - layer support F z,1 The calculation formula is:

[0057] ,

[0058] The load borne by the second - layer support structure F z,2 The calculation formula is:

[0059] ,

[0060] The load borne by the first - layer basement floor F b,1 The calculation formula is:

[0061] ;

[0062] In the formula K zeq,1 is the combined stiffness of the first - layer basement support and the second - layer basement support and the first - layer basement floor below it, and can be calculated by the following formula:

[0063] .

[0064] Such as Figure 4 shown, when the number of basement floors is n ([[]] n > 2), the load F is shared by the basement top slab and the first - to - n th - layer support structures, and the basement 1 - to - ( n - 1) - layer floors, a total of 2 n structures. Because the displacements of the top of the n th - layer support structure and the basement n - 1 - layer slab are the same, the 2 n structures can be regarded as a spring group with a series - parallel hybrid structure. Specifically, the i - 1 - layer floor is regarded as the first spring, the i th - layer support structure is regarded as the second spring, and the combination of each floor slab and each layer of support structure below the i th - layer support structure is regarded as the third spring. The third spring is in series with the second spring and then in parallel with the first spring. The stiffness of each spring is the stiffness of the corresponding structure. Among them:

[0065] The load borne by the basement top slab F b,0The calculation formula is:

[0066] ,

[0067] The load borne by the first - layer support structure F z,1 The calculation formula is:

[0068] ,

[0069] The i Load borne by the basement floor slab of the - 1 - layer basement F b,i-1 The calculation formula is:

[0070] , ([[]]ID = 27] i = 2 ~ n -1),

[0071] The i Load borne by the support structure of the F z,i , the calculation formula is:

[0072] , ([[]]ID = 43] i = 2 ~ n -1),

[0073] Where K zeq,i Is the combined stiffness of the support structure of the i - layer basement and all support structures below it and the basement floor slabs of each layer, and the calculation formula is:

[0074] , ([[]]ID = 59] i = 1 ~ n -1);

[0075] The n Load borne by the basement floor slab of the - 1 - layer basement F b,n-1 , the calculation formula is:

[0076] ,

[0077] The n Load borne by the support structure of the F z,n , the calculation formula is:

[0078] .

[0079] Example 1

[0080] ​​​This embodiment provides an intelligent calculation method for load distribution of a basement top slab and a reinforcement structure, which adopts the intelligent calculation system for load distribution of the basement top slab and the reinforcement structure described in Embodiment 1. The method includes the following steps:

[0081] Collect basement structure information and load information;

[0082] Input the collected basement structure information and load information into the stiffness calculation model of each floor slab of the basement. The stiffness calculation model of each floor slab of the basement outputs the stiffness of each floor slab of the basement K b,i-1 ;

[0083] The load distribution calculation model calculates the stiffness of each layer of support structure in the basement K z,i , and combines with K b,i-1 , K z,i Simplify the basement top slab, each layer of support structure, and each layer of floor slab into a spring group;

[0084] Based on the simplified spring group, the load distribution calculation model performs load distribution calculation on the acting load value on the basement top slab F to obtain the load borne by each floor slab of the basement F b,i-1 , and the load borne by each layer of support structure in the basement F z,i .

[0085] For the specific simplification method of the spring group, the specific formula for load distribution, and the specific pre-training method, reference can be made to the description in Embodiment 1.

[0086] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0087] The above embodiments only represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.

Claims

1. An intelligent calculation system for load distribution of a basement top slab and a reinforcement structure, characterized in that, Including: The stiffness calculation model of each floor slab in the basement is pre-trained based on machine learning technology. After inputting the basement structure information and load information, it can output the stiffness of each floor slab in the basement K b,i-1 , i = 1, 2, …, n , K b,0 is the stiffness of the basement top slab, K b,1 ~ K b,n-1 are the stiffnesses of the floor slabs of the 1st to n -1st basement floors respectively, n is the total number of basement floors; Load distribution calculation model for calculating the stiffness of the support structures of each basement floor K z,i , simplify the basement top slab, the support structures of each basement floor, and the floor slabs of each basement floor into a spring group, and calculate the load distribution of the acting load value F on the basement top slab to obtain the loads borne by the floor slabs of each basement floor F b,i-1 and the loads borne by the support structures of each basement floor F z,i , where F b,0 is the load borne by the basement top slab; Among them, , Wherein, E z is the elastic modulus of the support structure material, A zi is the total cross-sectional area of the i layer support structure, H i is the floor height of the i layer basement.

2. The intelligent calculation system for load distribution of basement top slab and reinforcement structure according to claim 1, characterized in that: When the number of basement floors is 1, the basement top slab and the support structure are simplified into a parallel spring group; When the number of basement floors is greater than or equal to 2, the basement top slab, each layer of support structure, and each layer of floor slab are simplified into a spring group with a series-parallel hybrid connection. Specifically, the i -1 floor slab is regarded as the first spring, the i layer of support structure is regarded as the second spring, and the combination of each layer of floor slab and each layer of support structure below the i layer of support structure is regarded as the third spring. The third spring is connected in series with the second spring and then in parallel with the first spring.

3. The intelligent calculation system for load distribution of basement top slab and reinforcement structure according to claim 1, characterized in that: ， i =1~ n ， ， i =1~ n ， In the formula, F b,0 is the load borne by the basement top slab, F b,1 ~ F b,n-1 are respectively the loads borne by the basement floor slabs of the 1st n to -1st floors, F z,i is the load borne by the support structure of the i th floor, K zeq,i is the i th floor support structure and the combined stiffness of all support structures and floor slabs below; Among them, , i = 1 to n - 1.

4. The intelligent calculation system for load distribution of basement top slab and reinforcement structure according to claim 1, characterized in that: When pre-training the stiffness calculation model of each basement floor slab, first establish a training data set, which includes several groups of training data, and each group of training data includes basement structure information, load information and the stiffness information of each basement floor slab.

5. The intelligent calculation system for load distribution of basement top slab and reinforcement structure according to claim 4, characterized in that: The intelligent calculation system for load distribution of basement top slab and reinforcement structure further includes an information acquisition and processing module, which is used to extract basement structure information and load information from existing data, and convert the units of the basement structure information and load information into preset standard units; During pre-training, the information acquisition and processing module can also extract the stiffness information of each basement floor slab from the existing data, and convert the stiffness information of each basement floor slab into a preset standard unit.

6. The intelligent calculation system for load distribution of basement top slab and reinforcement structure according to any one of claims 1 to 5, characterized in that: The basement structure information includes: slab span length L , slab span width B , thickness of the basement top slab h b,0 , the thickness of the floor slab of the n -th basement floor is denoted as h b,n , elastic modulus of the slab material E , Poisson's ratio of the slab material ν , number of basement floors n . Among them, the units of slab span length L , slab span width B , thickness of the basement top slab h b,0 , the thickness of the floor slab of the n -th basement floor is denoted as h b,n are all m, the unit of elastic modulus of the slab material E is MPa, and the units of Poisson's ratio of the slab material ν and the number of basement floors n are dimensionless; The load information includes: load value F , load acting length L F , load acting width B F , the relative distance between the load center and the plate center x and y ; the unit of the load value F is kN, and the units of the load acting length L F , the load acting width B F , and the relative distance between the load center and the plate center x and y are m.

7. An intelligent calculation method for load distribution of a basement top slab and a reinforcement structure, characterized in that, Adopt the intelligent calculation system for load distribution of basement top slab and reinforcement structure according to claim 1, and the method includes the following steps: Collect basement structure information and load information; Input the collected basement structure information and load information into the stiffness calculation model of each floor slab in the basement, and the stiffness calculation model of each floor slab in the basement outputs the stiffness of each floor slab in the basement K b,i-1 ; The load distribution calculation model calculates the stiffness of the support structures for each basement floor K z,i , and combines with K b,i-1 , K z,i to simplify the basement top slab, the support structures for each floor, and the floor slabs for each floor into spring groups; The load distribution calculation model is based on a simplified spring group to calculate the acting load value on the basement top slab F and perform load distribution calculation to obtain the loads borne by each floor slab of the basement F b,i-1 , as well as the loads borne by the support structures of each floor of the basement F z,i .

8. The intelligent calculation method for load distribution of basement top slab and reinforcement structure according to claim 7, characterized in that: When the number of basement floors is 1, the basement top slab and the support structure are simplified into a parallel spring group; When the number of basement floors is greater than or equal to 2, the basement top slab, each layer of support structure, and each layer of floor slab are simplified into a spring group with a series-parallel hybrid connection. Specifically, the i -1 floor slab is regarded as the first spring, and the i layer of support structure is regarded as the second spring. The combination of each layer of floor slab and each layer of support structure below the i layer of support structure is regarded as the third spring. The third spring is connected in series with the second spring and then in parallel with the first spring.

9. The intelligent calculation method for load distribution of basement top slab and reinforcement structure according to claim 8, characterized in that: ， i =1~ n ， ， i =1~ n ， In the formula, F b,0 is the load borne by the basement top slab, F b,1 ~ F b,n-1 are respectively the loads borne by the basement floor slabs of the 1st n ~ -1st floors, F z,i is the load borne by the support structure of the i th floor, K zeq,i is the combined stiffness of the support structure of the i th floor and all the support structures and floor slabs below; Among them, , i = 1 to n - 1.

10. The intelligent calculation method for load distribution of basement top slab and reinforcement structure according to claim 7, characterized in that: The stiffness calculation model of each basement floor slab is a pre-trained model. During pre-training, first establish a training data set, which includes several groups of training data, and each group of training data includes basement structure information, load information and the stiffness information of each basement floor slab; The intelligent calculation system for load distribution of basement top slab and reinforcement structure further includes an information acquisition and processing module. During pre-training, the information acquisition and processing module is used to extract basement structure information, load information, and the stiffness information of each basement floor slab from existing data, and convert the units of the basement structure information, load information, and the stiffness information of each basement floor slab into preset standard units.

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