K-means three-dimensional clustering algorithm-based wind pressure coefficient rapid partitioning method and system and storage medium
A clustering algorithm and wind pressure technology, applied in computing, computer components, electrical and digital data processing, etc., can solve problems such as large limitations in partitioning methods
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Embodiment 1
[0152] The wind pressure coefficient fast zoning method based on the K-means three-dimensional clustering algorithm provided in this embodiment specifically includes the following steps:
[0153] Acquiring and importing wind pressure coefficient data of building surface points, said wind pressure coefficient data including spatial position information and wind pressure coefficient;
[0154] Set up K-means clustering algorithm model, and determine initial clustering parameter, described initial clustering parameter comprises cluster number K, weighting factor;
[0155] Divide the wind pressure coefficient data into K clusters according to the initial parameters;
[0156] Calculate the cluster center of the initial clustering and the distance between the cluster centers;
[0157] Calculate the minimized sum of squared errors for the clusters according to the weighting factors;
[0158] Calculate the K value range of the number of clusters;
[0159] Calculate the unified index...
Embodiment 2
[0307] This embodiment provides a wind tunnel test to describe in detail the specific process of the wind pressure coefficient rapid partition method based on the K-means three-dimensional clustering algorithm.
[0308] The wind tunnel test of Shizuishan Swimming Pool simulates the atmospheric boundary layer, and the target landform type is Class B landform stipulated in the "Code for Loading of Building Structures". According to the regulations, the envelope structure takes the basic wind pressure of the 50-year return period, and the design wind speed at the height of 10m is 32.25m / s, and meets the profile characteristics such as average wind speed and turbulence degree. The wind field information of the wind tunnel test can be found in Figure 3a and Figure 3b ;Considering the technical requirements of the project's wind tunnel test, the geometric scale ratio of the model is 1 / 100, the speed ratio is 6 / 32.25, the time ratio is 18.4 / 330, and the blocking rate is 3.56%, whic...
Embodiment 3
[0329] The present embodiment provides a wind pressure coefficient fast zoning system based on the K-means three-dimensional clustering algorithm, including a memory, a processor, and a computer program stored on the memory and operable on the processor, when the processor executes the program Implement the following steps:
[0330] Obtain wind pressure coefficient data of building surface points;
[0331] Set up K-means clustering algorithm model, and determine initial parameter, described initial parameter comprises cluster number K, weighting factor;
[0332] Divide the wind pressure coefficient data into K clusters according to the initial parameters;
[0333] Calculate the cluster center of the initial clustering and the distance between the cluster centers;
[0334] Calculate the minimized sum of squared errors for the clusters according to the weighting factors;
[0335] Calculate the K value range of the number of clusters;
[0336] Calculate the unified index para...
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