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Method for fast simulating wind fields on basis of stability and homogeneity of time-space field and condition interpolation

A conditional interpolation, space-time field technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as multi-time and computational memory, consumption, etc.

Inactive Publication Date: 2016-03-23
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This is because the decomposition of the spectral matrix takes a lot of time and computational memory
Yang et al. and Cao et al. proposed a closed formula for wind field simulation without Cholesky decomposition, but this method is only valid when the coherence function obeys an exponential distribution [8-9]

Method used

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  • Method for fast simulating wind fields on basis of stability and homogeneity of time-space field and condition interpolation
  • Method for fast simulating wind fields on basis of stability and homogeneity of time-space field and condition interpolation
  • Method for fast simulating wind fields on basis of stability and homogeneity of time-space field and condition interpolation

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Experimental program
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Effect test

Embodiment 1

[0060] Embodiment 1: Simulation of actual wind field

[0061] 1) Description of target wind field

[0062] The present invention uses a main girder wind field simulation of a kilometer-level suspension bridge as a numerical example. The span layout of the bridge is 390m, 1080m, 1080m and 390m, and the bridge span layout diagram is as follows figure 1 shown. For simplicity, this case only simulates the downwind wind field of the two middle main spans. There are a total of 301 equally spaced simulation points on the main beam, so the distance between two points is 7.2m. Among them, three non-equidistant simulation points A, B and C are respectively located between simulation points 75 and 76 and 77 and 78, such as figure 1 shown.

[0063] The downwind fluctuating wind spectrum on the main girder of the bridge adopts the Kaimal wind spectrum model, as shown in the following formula:

[0064] S ( ω ) = ...

Embodiment 2

[0079] Embodiment 2: Simulation efficiency comparison

[0080] In order to show the computational efficiency of the present invention, the present invention is compared with the classical multi-point stochastic process spectral representation method. Among them, the spectral decomposition method adopts the classic Cholesky decomposition method [7] and the closed formula method [8-9] . At the same time, in the specific simulation, the double-index frequency and single-index frequency methods are used for simulation. Combining the above factors, four simulation methods can be defined, such as Image 6 shown. The present invention can be defined as method 5, and ε=1 / 2 is used for simulation.

[0081] In the comparison, the number of discrete frequencies of all simulation methods is set to 1024, while the number of simulation points is changed from 16 to 1024, and other parameters adopt the parameters in the aforementioned implementation cases. All algorithms are programmed ...

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Abstract

The invention discloses a method for fast simulating wind fields on basis of stability and homogeneity of a time-space field and condition interpolation. The method is used for carrying efficient, high-precision and high-speed simulation on the wind fields on the basis of stability and homogeneity of time-space field and condition interpolation. The method is characterized by comprising the following steps: establishing the relationship between a multipoint homogeneity and stability random process and a multipoint homogeneity and stability time-space random field, determining the transformation condition therebetween as well as the statistical and ergodic characteristics of a multipoint wind field sample which is simulated on the basis of the time-space field; and carrying out condition interpolation on the wind speed at the non-equidistant point. By adopting the method provided by the invention, Cholesky decomposition which is frequently used in the traditional method is not used, and the assumption that related functions in the simulation method need to obey the index distribution is improved. Moreover, a two-dimensional FFT technology can be used for greatly improving the simulation efficiency. Numerical example analysis shows that the method provided by the invention has the characteristics of being easy to use, relatively high accuracy and high in simulation efficiency, and is capable of effectively solving the problem that the spectral representation method is low in simulation efficiency when the random wind field simulation point number is large.

Description

technical field [0001] The invention belongs to the field of random signal simulation, and in particular relates to a fast simulation method for a stable and homogeneous wind field based on time-space field and conditional interpolation. Background technique [0002] Although the frequency domain analysis method is widely used in engineering practice, the MonteCarlo simulation method is widely used in nonlinear, system randomness and other related problems. For example, in the wind-induced dynamic response analysis of long-span bridges and high-rise buildings, the MonteCarlo simulation method can more easily consider structural and aerodynamic nonlinearities. In addition, this method is also often used to evaluate the accuracy of other methods such as frequency domain analysis. An important part of the method is the simulation of samples of random stimuli such as ground motions, wind fields, and pulsating waves. Among many simulation methods, the spectral representation me...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 彭留留黄国庆赵宁姜言
Owner SOUTHWEST JIAOTONG UNIV
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