Large-span roof wind pressure distribution rapid reconstruction algorithm based on discrete multi-point measurement data

Abstract

The invention discloses a large-span roof wind pressure distribution rapid reconstruction algorithm based on discrete multi-point measurement data. The algorithm comprises the following steps of: building a model similar to an actual roof through numerical wind tunnel simulation, and obtaining a roof wind pressure distribution database under different wind speed and wind direction conditions through simulation; performing non-negative matrix factorization on the data in the database, and constructing a wind pressure distribution basis matrix under each wind field condition; detecting environment wind field information, and selecting a wind pressure distribution basis matrix most similar to the wind field condition according to the environment wind field information; and solving a reconstruction coefficient vector of the basis matrix by using a least square method according to data measured by sensors, and multiplying the basis matrix by the coefficient vector so as to obtain the wind pressure distribution of the reconstructed roof. The real-time wind pressure distribution of the whole roof is obtained through a small amount of sensor data, so that the measurement cost is reduced; and the numerical wind tunnel technology is used. Compared with a wind tunnel test, the cost is lower, the efficiency is higher, the model size is not limited, and wind pressure monitoring on more roofs is facilitated.

Description

technical field [0001] The invention relates to the technical field of real-time reconstruction of wind pressure spatial distribution, in particular to a fast reconstruction algorithm of wind pressure distribution on a large-span roof based on discrete multi-point measurement data. Background technique [0002] From the Beijing Bird's Nest Stadium to the terminal building of Daxing Airport, long-span buildings, as a novel architectural form, play an important role in people's daily life. However, due to the characteristics of large flexibility and low damping, long-span buildings are easily disturbed by wind loads, causing roof damage and even structural damage, which may cause serious property losses and even casualties. Therefore, real-time monitoring of the wind pressure on the roof of a large-span building is beneficial to the maintenance of the roof and ensures the safety of the roof of the building, which has very important practical significance. In addition, conside...

AI Technical Summary

Problems solved by technology

[0003] Existing patents mostly focus on numerical wind tunnel simulation or wind tunnel experiments on roofs to explore the law of wind pressure distribution, but this method cannot realize real-time monitoring of wind pressure on real building roofs, which is not conducive to roof health monitoring and maintenance; Another part of the patent uses a non-negative matrix decomposition method similar to this patent, but it is mostly used in text analysis, image processing, face recognition and other fields, and has not been used to realize the reconstruction of roof wind pressure

Images