scholarly journals A study of building vibrations induced by weak motions: effects of earthquake excitation, ambient noise and wind speed

2017 ◽  
Vol 60 (4) ◽  
Author(s):  
Gaetano Riccio ◽  
Rocco Cogliano ◽  
Giuseppe Di Giulio ◽  
Antonio Fodarella ◽  
Stefania Pucillo ◽  
...  
2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
S. Sakthivel Murugan ◽  
V. Natarajan ◽  
R. Rajesh Kumar

Signal transmission in ocean using water as a channel is a challenging process due to attenuation, spreading, reverberation, absorption, and so forth, apart from the contribution of acoustic signals due to ambient noises. Ambient noises in sea are of two types: manmade (shipping, aircraft over the sea, motor on boat, etc.) and natural (rain, wind, seismic, etc.), apart from marine mammals and phytoplanktons. Since wind exists in all places and at all time: its effect plays a major role. Hence, in this paper, we concentrate on estimating the effects of wind. Seven sets of data with various wind speeds ranging from 2.11 m/s to 6.57 m/s were used. The analysis is performed for frequencies ranging from 100 Hz to 8 kHz. It is found that a linear relationship between noise spectrum and wind speed exists for the entire frequency range. Further, we developed a noise model for analyzing the noise level. The results of the empirical data are found to fit with results obtained with the aid of noise model.


2012 ◽  
Vol 51 (7S) ◽  
pp. 07GG09 ◽  
Author(s):  
Seom-Kyu Jung ◽  
Bok Kyoung Choi ◽  
Bong-Chae Kim ◽  
Byoung-Nam Kim ◽  
Seong Hyeon Kim ◽  
...  

2014 ◽  
Vol 1044-1045 ◽  
pp. 1061-1065
Author(s):  
Yan Li ◽  
Xi Hai Li ◽  
Liang Meng

Meteorological elements are the important factors influencing the background noise model of the infrasound station. In order to determine the specific impact of meteorological elements on the model and find out the background ambient noise root of infrasound station, the infrasound and meteorological data from international infrasound station I34 is processed and analyzed through root mean square research and power spectral density analysis. The results show that the wind speed, wind direction, temperature and pressure is the main factors influencing the infrasound station environment background noise, and the wind speed exercises the greatest influence on background noise. Analysis results can provide theory basis for the modeling of background noise for the infrasound station.


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