A building construction structure simulation evaluation optimization method

Abstract

The application relates to a building structure evaluation optimization method, which comprises the following steps: defining swing performance, barycentric stability and barycentric displacement, constructing a simulation three-dimensional model, and a sample house; under the action of an earthquake wave, the three parameters of the sample house are compared with the three parameters of the simulation three-dimensional model, the simulation three-dimensional model is corrected according to the differences, a sample house simulation three-dimensional model is formed, and the simulation three-dimensional model of any house type is constructed. Finally, the sample simulation three-dimensional model of the to-be-tested simulation three-dimensional model is subjected to the action of a simulation earthquake wave and a simulator earthquake wave, and the absolute value of the percentage difference of the three parameters is calculated. Meanwhile, the swing performance, the barycentric stability and the barycentric displacement data are projected in the swing performance, the barycentric stability and the barycentric displacement coordinate system, classified by a multi-classification support vector machine, the overall evaluation is realized, and the design of the building anti-seismic structure is optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to a building structure simulation evaluation optimization method, in particular to a method for multi-parameter multi-classification simulation evaluation optimization, and belongs to the field of building structure evaluation. BACKGROUND

[0002] The prior art obtains an anti-seismic index by comparing the number of anti-seismic structures with the number of standards. This index does not consider the anti-seismic performance of the anti-seismic structure itself, and therefore this evaluation is not accurate. Although the simulation result can evaluate the anti-seismic performance as a whole, it cannot optimize the anti-seismic performance of the building itself. Therefore, how to further optimize the evaluation method in detail is a problem to be solved. SUMMARY

[0003] Based on the above problems of the prior art, the present application provides a building structure evaluation optimization method, comprising the following steps:

[0004] S1, a three-dimensional simulation model of the building is constructed, and anti-seismic structures are added to the model, and a preset number of anti-seismic structures is preset;

[0005] S2, the model foundation is subjected to simulation seismic waves from level 1 to level 9, the longitudinal and transverse swing amplitudes of the highest point of each anti-seismic structure are monitored, and the motion time-varying function of the center of gravity of each part of the anti-seismic structure is monitored , is time.

[0006] It is easy to understand that the swing amplitude is to measure the elastic performance of the structure and to explore the yield limit degree, and the time-varying function is to describe the stability of the center of gravity of the structure and the degree of post-displacement.

[0007] S3, displacement coordinate systems under transverse wave and longitudinal wave conditions are respectively constructed to define the swing performance and the stability of the center of gravity , and the center of gravity displacement at the end of the earthquake is calculated , wherein the subscripts and of the parameters respectively represent the transverse wave and the longitudinal wave, is the earthquake level, is the average swing amplitude between the start of the corresponding level earthquake (defined as the zero time) and the end of the earthquake, defined as the time integral average of the swing amplitude time-varying function, is the end time of the earthquake, is the time of the lowest point of the center of gravity displacement between the start and the end of the earthquake, if there are multiple times, then a corresponding motion time-varying function value is selected to be substituted into the second term of the stability of the center of gravity.

[0008] Therefore, it can be understood that sway performance examines the overall yielding behavior of a seismic-resistant structure to earthquakes ranging from magnitude 1 to 9. Since higher magnitudes indicate greater yielding, they better test the structure's approximation of its yield limit; thus, they are assigned greater weight when performing a weighted average. A smaller value indicates a weaker ability to yield to the corresponding waveform and greater rigidity; conversely, greater elasticity. Ideally, a structure should possess a balance of both rigidity and elasticity.

[0009] Center of gravity stability describes the overall area of ​​the center of gravity's oscillation. The smaller the area, the more stable the system; conversely, when permanent deformation or collapse occurs, the area exceeds a critical point. These two indicators are used to describe seismic performance.

[0010] S4 sets the earthquake duration. Following step S3, it collects data on sway performance, center of gravity stability, and center of gravity displacement corresponding to magnitudes 1-9. Simultaneously, it constructs a model house and applies simulated earthquake waves of the same preset duration to it. Monitoring is then performed according to step S2, and sway performance is calculated. , Stability of center of gravity , Center of gravity displacement To obtain differences , , , , ;

[0011] S5 continuously optimizes the number of seismic-resistant structures and mechanical parameters, and performs steps S2-S4 until the difference is within the threshold range, thus obtaining a sample three-dimensional simulation model.

[0012] S6 continues to apply seismic wave action in the optimized 3D simulation model, constructs a 3D rectangular coordinate system for swing performance, center of gravity stability, and center of gravity displacement, collects multiple sets of swing performance, center of gravity stability, and center of gravity displacement data within a preset earthquake duration, and projects them onto the three sets of coordinate axis planes respectively, which are used to train the corresponding multi-class support vector machine to achieve the classification of the data projection;

[0013] The S7 earthquake data is applied to a simulated 3D model to obtain the measured rocking performance. , Stability of center of gravity , Center of gravity displacement data Simultaneously, it is applied to the 3D model of the template simulation to obtain the template's swaying performance. , Stability of center of gravity , Center of gravity displacement data The absolute value of the percentage difference is obtained. , , , , The distribution of the absolute values of the differences in the to-be-tested simulation three-dimensional model, and the analysis of the classification of the projection of the data by the multi-classification support vector machine trained in S6 generate the structural parts and the improvement scheme of the design building structure.

[0014] At this point, without further building sample houses for testing and comparison, the optimized and comparable sample simulation three-dimensional model can be directly used as a standard for comparison with the to-be-tested simulation three-dimensional model designed to detect whether the to-be-tested simulation three-dimensional model design is ideal.

[0015] Optionally, the simulation real corresponding seismic wave data used in the 1-9 level seismic wave action has a preset earthquake duration of 3s-5min.

[0016] Optionally, a plurality of sample houses of different house types are built, the sample houses include villas, multi-story buildings, small high-rise buildings, high-rise buildings, super high-rise buildings, and corresponding sample simulation three-dimensional models are obtained based on the sample houses according to S4 and S5, and the simulation structural parts in the corresponding sample simulation three-dimensional models are obtained as simulation building elements constituting any house type house.

[0017] Preferably, the sample house is a scaled-down house with a scaling-down percentage of 80%-50%.

[0018] It should be understood that the building parts include the outer facade wall, the inner wall, the window, the beam, the column, the floor, and the roof. Since the house types are different, the mechanical properties are updated according to the calculation of solid mechanics when the area size, length, thickness, and width of the simulation building elements change during simulation. Thus, without building all mainstream sample houses to increase the cost, all house types can be simulated.

[0019] Advantages

[0020] By defining the three parameters of the rocking performance, the gravity center stability, and the gravity center displacement, the three parameters are compared under the simulation of the three-dimensional simulation model and the sample house under the action of the simulation seismic wave and the simulator seismic wave, thereby correcting the three-dimensional simulation model to the sample house three-dimensional simulation model, constructing the three-dimensional simulation model of any house type, and predicting the three parameter value distribution under the action of the seismic wave in the to-be-tested simulation three-dimensional model. In combination with the multi-classification support vector machine, the classification of the projection of the rocking performance, the gravity center stability, and the gravity center displacement data in the rocking performance, the gravity center stability, and the gravity center displacement coordinate system is realized, the overall evaluation and optimization of the design of the building seismic structure are realized. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 Definition of rocking performance, gravity center stability, and gravity center displacement,

[0022] Figure 2 Three-dimensional simulation model and sample house and its seismic action mode diagram,

[0023] Figure 3 Swing performance, barycenter stability, barycenter displacement three-dimensional rectangular coordinate system data group projection diagram. DETAILED DESCRIPTION

[0024] As Figure 1 shown, first, the definition of swing performance, barycenter stability, barycenter displacement is described to better understand the present application.

[0025] Taking a longitudinal wave as an example, a certain facade of a building swings left and right under the action of the longitudinal wave. The dashed line is the swing limit position under the current seismic level, and the solid line is the normal position. The displacement of the highest point position is With time , the swing amplitude time-varying function is represented in the upper right coordinate system.

[0026] In order to clearly distinguish the time integral, the function and the area surrounded below it are represented with different colors, so at the end of the earthquake , the area surrounded below the function is calculated , and is calculated. Similarly, for the transverse wave, .

[0027] Similarly, for the barycenter stability, in the upper right coordinate system, as shown in the lower right of the figure, , the second term , and the area surrounded by the second term are represented with three different colors, of which has two lowest points. Then . Similarly, for the transverse wave, . The lower left figure is the barycenter displacement at the end of the earthquake , representing the displacement of the above normal position after the combined action of the transverse wave and the longitudinal wave after the earthquake.

[0028] Based on the above definitions, the building structure evaluation optimization method includes the following seven steps:

[0029] As Figure 2 shown, S1 constructs a three-dimensional simulation model of the building, adds an anti-seismic structure to the model, and presets the number of anti-seismic structures; adds a seismic simulation module at the bottom of the three-dimensional simulation model for simulating the action of the three-dimensional simulation model on the seismic wave.

[0030] S2 seismic simulation module lets the model base to generate from 1-9 level of simulation of earthquake wave effect, monitoring each aseismatic structure highest point's longitudinal and transverse swing amplitude, and each part aseismatic structure gravity center's motion time-varying function , is time.

[0031] S3 step is to define the above-mentioned swing performance, gravity center stability, gravity center displacement, and will not be elaborated.

[0032] S4 preset earthquake length 30s, according to step S3 collection 1-9 level corresponding swing performance, gravity center stability, gravity center displacement data, at the same time (S2) Figure 2 ) build sample house, using the earthquake simulator to its same preset earthquake length 30s simulation of earthquake wave, and according to S2 monitoring, calculate swing performance 、 , gravity center stability 、 , gravity center displacement , get difference , , , , ;

[0033] S5 continuously optimize aseismatic structure quantity and mechanical parameters (including but not limited to period ratio, displacement ratio, stiffness ratio, interlayer shear capacity ratio, stiffness-weight ratio, shear-weight ratio, yield limit, member internal force, chord line rotation ductility coefficient, cross section curvature ductility coefficient), and carry out step S3-S4, until the difference is in the threshold range (<1-5 numerical units), get sample three simulation model, the model is Figure 2 the left picture after the optimization. That is, at this time, the building three-dimensional simulation model in S1 is upgraded to the optimized sample three-dimensional simulation model because it is close enough to the real data of the sample house.

[0034] S6 continues to carry out the earthquake wave effect in the optimized three-dimensional simulation model, constructs the swing performance, gravity center stability, gravity center displacement three-dimensional rectangular coordinate system (as Figure 3 shown), collects multiple sets of swing performance, gravity center stability, gravity center displacement data within the preset earthquake length 30s, respectively in the three sets of coordinate axis plane projection, used to train the corresponding multi-class support vector machine.

[0035] Figure 3 A, B, C three groups of data are given in the figure, taking data group A as an example, in the three groups of two two orthogonal planes formed by swing performance, gravity center stability, gravity center displacement axis, form projection A1-projection A3. The figure shows the connecting line of some data point projection direction.

[0036] Thus, in each group of the axial plane training multi-classification support vector machine, the rest of the data in the same projection axis plane classification. With the projection A1 in the plane as an example, divided into strong swing performance (i.e. swing performance value greater than 2 times the value of the center of gravity stability), strong center of gravity stability (i.e. swing performance value less than 2 times the value of the center of gravity stability), and swing and center of gravity stability (swing performance value and center of gravity stability value comparable, i.e. 2 times (not including) within) three categories.

[0037] S7 measured earthquake, the measured seismic wave data, to the measured simulation three-dimensional model, get measured swing performance 、 , center of gravity stability 、 , center of gravity displacement data , while acting on the sample simulation three-dimensional model, get sample swing performance , , center of gravity stability 、 , center of gravity displacement data , get the difference percentage absolute value , , , , , through these difference percentage absolute value in the measured simulation three-dimensional model in the distribution, and S6 in the training of multi-classification support vector machine on data projection classification, analysis of the structure and design of building structure improvement scheme.

[0038] The specific improvement scheme is that the difference percentage absolute value of the maximum value of the region and its vicinity of the mechanical performance parameter adjustment of the structure, in other areas to change the mechanical performance parameters of the corresponding structure to change its classification.

Claims

1. A method for evaluating and optimizing building structure, characterized in that, Includes the following steps: S1 constructs a 3D simulation model of the building, adds seismic-resistant structures to the model, and presets the number of seismic-resistant structures. S2 simulates seismic waves of magnitude 1-9 on the model foundation, monitoring the longitudinal and lateral sway amplitudes at the highest point of each seismic-resistant structure, as well as the time-varying function of the center of gravity motion of each part of the seismic-resistant structure. , For time; S3 constructs displacement coordinate systems for both transverse and longitudinal waves to define the rocking performance. and center of gravity stability And calculate the displacement of the center of gravity at the end of the earthquake. The subscript of the parameter and They represent transverse waves and longitudinal waves, respectively. Earthquake magnitude The average sway amplitude between the start and end of an earthquake of the corresponding magnitude is defined as a time-varying function of sway amplitude. The time integral average, This is the end time of the earthquake. The moment of minimum center of gravity displacement between the start and end of the earthquake. If there are multiple such moments, then any corresponding time-varying function value can be substituted into the second term of the center of gravity stability calculation. S4 sets the earthquake duration. Following step S3, it collects data on sway performance, center of gravity stability, and center of gravity displacement corresponding to magnitudes 1-9. Simultaneously, it constructs a model house and applies simulated earthquake waves of the same preset duration to it. Monitoring is then performed according to step S2, and sway performance is calculated. , Stability of center of gravity , Center of gravity displacement To obtain differences , , , , ; S5 continuously optimizes the number of seismic-resistant structures and mechanical parameters, and performs steps S2-S4 until the difference is within the threshold range, thus obtaining a sample three-dimensional simulation model. S6 continues to apply seismic wave action in the optimized 3D simulation model, constructs a 3D rectangular coordinate system for swing performance, center of gravity stability, and center of gravity displacement, collects multiple sets of swing performance, center of gravity stability, and center of gravity displacement data within a preset earthquake duration, and projects them onto the three sets of coordinate axis planes respectively, which are used to train the corresponding multi-class support vector machine to achieve the classification of the data projection; The S7 earthquake data is applied to a simulated 3D model to obtain the measured rocking performance. , Stability of center of gravity , Center of gravity displacement data Simultaneously, it is applied to the 3D model of the template simulation to obtain the template's swaying performance. , Stability of center of gravity , Center of gravity displacement data The absolute value of the percentage difference is obtained. , , , , By analyzing the distribution of these absolute percentage differences in the simulated 3D model and the classification of data projections by the multi-class support vector machine trained in S6, structural components and improved design schemes for building structures are generated.

2. The method according to claim 1, characterized in that, The earthquake waves of magnitudes 1-9 were simulated based on real earthquake wave data, with a preset earthquake duration of 3s-5min.

3. The method according to claim 1, characterized in that, Multiple model houses of different types are constructed, including villas, multi-story buildings, mid-rise buildings, high-rise buildings, and super high-rise buildings. Based on these model houses, corresponding model simulation 3D models are obtained according to S4 and S5. Simulation structures and building components in the corresponding model simulation 3D models are obtained as simulation building elements to constitute any type of house.

4. The method according to claim 3, characterized in that, The model house is a scaled-down house, with a reduction percentage of 80%-50%, and the threshold range is less than 1-5 numerical units.

5. The method according to any one of claims 1-4, characterized in that, The mechanical parameters include, but are not limited to, period ratio, displacement ratio, stiffness ratio, inter-story shear capacity ratio, stiffness-to-weight ratio, shear-to-weight ratio, yield strength, internal forces of the member, ductility coefficient of chord rotation angle, and ductility coefficient of cross-sectional curvature.

6. The method according to claim 5, characterized in that, Simulated seismic waves of magnitude 1-9 were generated on the model foundation. For simulated seismic waves with the same preset earthquake duration as those used in the model house, earthquake simulation modules and earthquake simulators were employed respectively.

7. The method according to claim 6, characterized in that, The specific improvement plan involves adjusting the mechanical performance parameters of structural components in and around the region where the absolute value of the difference percentage is the maximum, and considering changing the mechanical performance parameters of corresponding structural components in other regions to change their classification.

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