Basement Mapping with Single-Station and Array Ambient Vibration Data: Delineating Faults under Boumerdes City, Algeria

2012 ◽  
Vol 83 (5) ◽  
pp. 798-805 ◽  
Author(s):  
M. Hellel ◽  
E. H. Oubaiche ◽  
J.-L. Chatelain ◽  
D. Machane ◽  
R. Bensalem ◽  
...  
Keyword(s):  
Ambient Vibration ◽  
Vibration Data ◽  
Single Station

Geopsy: A User-Friendly Open-Source Tool Set for Ambient Vibration Processing

2020 ◽  
Vol 91 (3) ◽  
pp. 1878-1889 ◽  
Author(s):  
Marc Wathelet ◽  
Jean-Luc Chatelain ◽  
Cécile Cornou ◽  
Giuseppe Di Giulio ◽  
Bertrand Guillier ◽  
...  
Keyword(s):  
Open Source ◽  
User Interfaces ◽  
Site Characterization ◽  
Ambient Vibration ◽  
The European Union ◽  
Vibration Data ◽  
Single Station ◽  
Characterization Studies ◽  
Single Trace ◽  
User Friendly

Abstract Ambient vibrations are nowadays considerably used worldwide for numerous types of engineering applications and scientific research. Geopsy and its companion tools are part of that landscape. Since the first release of the program package in 2005, as outcome of the European Union project Site Effects aSsessment from AMbient noisE, Geopsy has become a mature multiplatform open-source package (released under GNU Public License version 3) that has already been recognized as a reference tool for analyzing ambient vibration data in the context of site characterization studies. The community of users has grown from a core group of researchers up to thousands of seismologists and engineers on every career level and on all continents. The versatility of geopsy allows for the processing of all kinds of data needed in site characterization studies, that is, from single station single trace to three-component array recordings. In all of the aforementioned cases, the steps from field acquisition to the production of publication-ready figures are covered and supported by user-friendly graphical user interfaces or corresponding command-line tools for the automation of the complete processing chain. To avoid black-box usage, a number of lower-level tools guarantee maximum flexibility in accessing and controlling processing results at any stage of the analysis.

Fieldwork on local-site seismic response in the Po Plain: examples from ambient vibration array and single station analyses

2016 ◽  
Vol 15 (6) ◽  
pp. 2349-2366 ◽  
Author(s):  
M. Massa ◽  
C. Mascandola ◽  
C. Ladina ◽  
S. Lovati ◽  
S. Barani
Keyword(s):  
Seismic Response ◽  
Ambient Vibration ◽  
Po Plain ◽  
Local Site ◽  
Single Station

scholarly journals Dynamic Study of a Rooftop Vertical Axis Wind Turbine Tower Based on an Automated Vibration Data Processing Algorithm

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3135 ◽  
Author(s):  
Ying Wang ◽  
Wensheng Lu ◽  
Kaoshan Dai ◽  
Miaomiao Yuan ◽  
Shen-En Chen
Keyword(s):  
Wind Turbine ◽  
Vertical Axis ◽  
Dynamic Responses ◽  
Ambient Vibration ◽  
Structural Vibration ◽  
Vertical Axis Wind Turbine ◽  
Mode Identification ◽  
Stochastic Subspace Identification ◽  
Vibration Data ◽  
Vibration Responses

When constructed on tall building rooftops, the vertical axis wind turbine (VAWT) has the potential of power generation in highly urbanized areas. In this paper, the ambient dynamic responses of a rooftop VAWT were investigated. The dynamic analysis was based on ambient measurements of the structural vibration of the VAWT (including the supporting structure), which resides on the top of a 24-story building. To help process the ambient vibration data, an automated algorithm based on stochastic subspace identification (SSI) with a fast clustering procedure was developed. The algorithm was applied to the vibration data for mode identification, and the results indicate interesting modal responses that may be affected by the building vibration, which have significant implications for the condition monitoring strategy for the VAWT. The environmental effects on the ambient vibration data were also investigated. It was found that the blade rotation speed contributes the most to the vibration responses.

scholarly journals Damage detection based on damping analysis of ambient vibration data

2008 ◽  
pp. n/a-n/a ◽  
Author(s):  
Michele Frizzarin ◽  
Maria Q. Feng ◽  
Paolo Franchetti ◽  
Serdar Soyoz ◽  
Claudio Modena
Keyword(s):  
Damage Detection ◽  
Ambient Vibration ◽  
Vibration Data

scholarly journals Automated band selection for Bayesian FFT modal identification Based on RetinaNet

2021 ◽  
Vol 2078 (1) ◽  
pp. 012058
Author(s):  
Chen Wang ◽  
Zhilin Xue ◽  
Yipeng Su ◽  
Binbin Li
Keyword(s):  
Operation Time ◽  
Modal Identification ◽  
Ambient Vibration ◽  
Mode Shapes ◽  
Band Selection ◽  
Data Sets ◽  
Civil Structures ◽  
Frequency Bands ◽  
Operational Conditions ◽  
Vibration Data

Abstract Bayesian FFT algorithm is a popular method to identify modal parameters, e.g., modal frequencies, damping ratios, and mode shapes, of civil structures under operational conditions. It is efficient and provides the identification uncertainty in terms of posterior distribution. However, in utilizing the Bayesian FFT algorithm, it is tedious to manually select frequency bands and initial frequencies. This step requires professional knowledge and costs most of time, which prevents the automation of Bayesian FFT algorithm. Regarding the band selection as an object detection problem, we design a band selection network based on the RetinaNet to automatically select frequency bands and a peak prediction network to predict the initial frequencies. The designed networks are trained using the singular value spectrum of measured ambient vibration data and verified by various data sets. It can achieve the human accuracy with much less operation time, and thus provides a corner stone for the automation of Bayesian FFT algorithm.

scholarly journals Regional Seismic Characterization of Shallow Subsoil of Northern Apulia (Southern Italy)

Geosciences ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 416
Author(s):  
Enrico Paolucci ◽  
Giuseppe Cavuoto ◽  
Giuseppe Cosentino ◽  
Monia Coltella ◽  
Maurizio Simionato ◽  
...  
Keyword(s):  
Southern Italy ◽  
Carbonate Platform ◽  
Low Cost ◽  
Principal Component ◽  
Ambient Vibration ◽  
Resonance Effects ◽  
Resonance Phenomena ◽  
Single Station ◽  
Seismic Characterization

A first-order seismic characterization of Northern Apulia (Southern Italy) has been provided by considering geological information and outcomes of a low-cost geophysical survey. In particular, 403 single-station ambient vibration measurements (HVSR techniques) distributed within the main settlements of the area have been considered to extract representative patterns deduced by Principal Component Analysis. The joint interpretation of these pieces of information allows the identification of three main domains (Gargano Promontory, Bradanic Through and Southern Apennines Fold and Thrust Belt), each characterized by specific seismic resonance phenomena. In particular, the Bradanic Through is homogeneously characterized by low frequency (<1 Hz) resonance effects associated with relatively deep (>100 m) seismic impedance, which is contrasting corresponding to the buried Apulian carbonate platform and/or sandy horizons located within the Plio-Pleistocene deposits. In the remaining ones, relatively high frequency (>1 Hz) resonance phenomena are ubiquitous due to the presence of shallower impedance contrasts (<100 m), which do not always correspond to the top of the geological bedrock. These general indications may be useful for a preliminary regional characterization of seismic response in the study area, which can be helpful for an effective planning of more detailed studies targeted to engineering purposes.

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