non-Gaussian wind pressure simulation method based on Johnson transformation

A simulation method, a technology for transforming models, applied in the field of non-Gaussian process simulation, and can solve problems such as the limited feasible area of ​​Hermite

Pending Publication Date: 2019-06-11
SOUTHWEST JIAOTONG UNIV
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a non-Gaussian wind pressure simulation method based on Johnson transform, aiming at simulating the non-Gaussian process with skewness and kurtosis outside the Hermite feasible area, and it can be applied to both hardening and softening, and has a large applicable area And the characteristics of high precision solve the problem of limited feasible area of ​​Hermite

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • non-Gaussian wind pressure simulation method based on Johnson transformation
  • non-Gaussian wind pressure simulation method based on Johnson transformation
  • non-Gaussian wind pressure simulation method based on Johnson transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0128] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. The measured wind pressure data used in the numerical case comes from wind pressure experiments on saddle-shaped long-span roofs completed in the wind tunnel laboratory of Beijing Jiaotong University. Saddle roof models such as image 3 (a) shown. The scale ratio of the model is 1:100, and a total of 265 measuring points are arranged on the roof. The specific measuring point layout and wind direction angle definition are shown in Figure 3(b). The average wind speed at the reference height is 8.95m / s, and the sampling frequency and duration are 312.5Hz and 55min, respectively. The ratio of the model to the actual wind speed is 1:2, therefore, the corresponding actual sampling frequency and duration are 6.25Hz and 2750min, respectively. This paper only considers the case where the orientation angle is 90°. For details, please refer to...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a non-Gaussian wind pressure simulation method based on Johnson transformation. The non-Gaussian wind pressure simulation method comprises the following steps: firstly, introducing a Johnson transfer model and a parameter estimation method; secondly, introducing simulation of a Gaussian process based on a spectral method; deriving an explicit expression of a correlation coefficient of the non-Gaussian process based on a Johnson transfer model; and finally, providing the whole simulated process and using a numerical example and a Hermite model or carrying out comprehensive comparison. The method can simulate the non-Gaussian process of the skewness and the kurtosis outside the Hermite feasible region, is applicable to both hardening and softening, has the characteristics of large applicable region and high precision, and solves the problem that the Hermite feasible region is limited.

Description

technical field [0001] The invention belongs to the non-Gaussian process simulation field, in particular to a building wind pressure simulation method converted from a Gaussian process to a strong non-Gaussian process based on Johnson transformation. Background technique [0002] As an important form of wind load, wind pressure plays an important role in architectural design, especially roof design. Studies have shown that the wind pressure in the windward area can be described by a Gaussian distribution, while the wind pressure in the separated area shows weak to strong non-Gaussian distribution (Holmes 1981). Wind pressure simulation is an effective method for estimating extreme wind pressure and load effects as well as fatigue damage of roofs and components (e.g., Gioffre et al. 2000). In addition to simulations, wind pressure extremes can also be estimated directly. These studies have aroused great attention of wind engineering. The moving average process method of Gr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 吴凤波黄国庆李天成刘敏
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products