Combination of Hi-net and KiK-net Data for Deconvolution Interferometry

2013 ◽  
Vol 103 (6) ◽  
pp. 3073-3082
Author(s):  
N. Nakata
Keyword(s):  
Deconvolution Interferometry

Multi-component deconvolution interferometry for data-driven prediction of seismic structural response

2021 ◽  
Vol 241 ◽  
pp. 112405
Author(s):  
Debarshi Sen ◽  
James Long ◽  
Hao Sun ◽  
Xander Campman ◽  
Oral Buyukozturk
Keyword(s):  
Structural Response ◽  
Data Driven ◽  
Deconvolution Interferometry

Monitoring a Building Using Deconvolution Interferometry. I: Earthquake-Data Analysis

2013 ◽  
Vol 103 (3) ◽  
pp. 1662-1678 ◽  
Author(s):  
N. Nakata ◽  
R. Snieder ◽  
S. Kuroda ◽  
S. Ito ◽  
T. Aizawa ◽  
...  
Keyword(s):  
Data Analysis ◽  
Earthquake Data ◽  
Deconvolution Interferometry

scholarly journals Structural assessment of bridges through ambient noise deconvolution interferometry: application to the lateral dynamic behaviour of a RC multi-span viaduct

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Enrique García-Macías ◽  
Filippo Ubertini
Keyword(s):  
Wave Propagation ◽  
Ambient Noise ◽  
Dynamic Behaviour ◽  
Damage Identification ◽  
Ambient Vibration ◽  
Local Damage ◽  
Engineering Structures ◽  
Structural Assessment ◽  
Ambient Vibration Tests ◽  
Deconvolution Interferometry

AbstractOperational Modal Analysis (OMA) is becoming a mature and widespread technique for Structural Health Monitoring (SHM) of engineering structures. Nonetheless, while proved effective for global damage assessment, OMA-based techniques can hardly detect local damage with little effect upon the modal signatures of the system. In this context, recent research studies advocate for the use of wave propagation methods as complementary to OMA to achieve local damage identification capabilities. Specifically, promising results have been reported when applied to building-like structures, although the application of Seismic Interferometry to other structural typologies remains unexplored. In this light, this work proposes for the first time in the literature the use of ambient noise deconvolution interferometry (ANDI) to the structural assessment of long bridge structures. The proposed approach is exemplified with an application case study of a multi-span reinforced-concrete (RC) viaduct: the Chiaravalle viaduct in Marche Region, Italy. To this aim, ambient vibration tests were performed on February 4$$^{\text {th}}$$ th and 7$$^{\text {th}}$$ th 2020 to evaluate the lateral and longitudinal dynamic behaviour of the viaduct. The recorded ambient accelerations are exploited to identify the modal features and wave propagation properties of the viaduct by OMA and ANDI, respectively. Additionally, a numerical model of the bridge is constructed to interpret the experimentally identified waveforms, and used to illustrate the potentials of ANDI for the identification of local damage in the piers of the bridge. The presented results evidence that ANDI may offer features that are quite sensitive to damage in the bridge substructure, which are often hardly identifiable by OMA.

Interferometry by deconvolution: Part 1 — Theory for acoustic waves and numerical examples

Geophysics ◽  
2008 ◽  
Vol 73 (3) ◽  
pp. S115-S128 ◽  
Author(s):  
Ivan Vasconcelos ◽  
Roel Snieder
Keyword(s):  
Boundary Condition ◽  
Acoustic Waves ◽  
Time Function ◽  
Source Time Function ◽  
Field Quantity ◽  
Representation Theorems ◽  
Direct Wave ◽  
Wavefield Separation ◽  
Acoustic Media ◽  
Deconvolution Interferometry

Interferometry allows for synthesis of data recorded at any two receivers into waves that propagate between these receivers as if one of them behaves as a source. This is accomplished typically by crosscorrelations. Based on perturbation theory and representation theorems, we show that interferometry also can be done by deconvolutions for arbitrary media and multidimensional experiments. This is important for interferometry applications in which (1) excitation is a complicated source-time function and/or (2) when wavefield separation methods are used along with interferometry to retrieve specific arrivals. Unlike using crosscorrelations, this method yields only causal scattered waves that propagate between the receivers. We offer a physical interpretation of deconvolution interferometry based on scattering theory. Here we show that deconvolution interferometry in acoustic media imposes an extra boundary condition, which we refer to as the free-point or clamped-point boundary condition, depending on the measured field quantity. This boundary condition generates so-called free-point scattering interactions, which are described in detail. The extra boundary condition and its associated artifacts can be circumvented by separating the reference waves from scattered wavefields prior to interferometry. Three wavefield-separation methods that can be used in interferometry are direct-wave interferometry, dual-field interferometry, and shot-domain separation. Each has different objectives and requirements.

Interferometry by deconvolution: Part 2 — Theory for elastic waves and application to drill-bit seismic imaging

Geophysics ◽  
2008 ◽  
Vol 73 (3) ◽  
pp. S129-S141 ◽  
Author(s):  
Ivan Vasconcelos ◽  
Roel Snieder
Keyword(s):  
Impulse Response ◽  
Elastic Waves ◽  
Source Function ◽  
San Andreas Fault ◽  
Drill Bit ◽  
Elastic Media ◽  
San Andreas ◽  
Independent Estimate ◽  
Multicomponent Data ◽  
Deconvolution Interferometry

Deconvolution interferometry successfully recovers the impulse response between two receivers without the need for an independent estimate of the source function. Here we extend the method of interferometry by deconvolution to multicomponent data in elastic media. As in the acoustic case, elastic deconvolution interferometry retrieves only causal scattered waves that propagate between two receivers as if one acts as a pseudosource of the point-force type. Interferometry by deconvolution in elastic media also generates artifacts because of a clamped-point boundary condition imposed by the deconvolution process. In seismic-while-drilling (SWD) practice, the goal is to determine the subsurface impulse response from drill-bit noise records. Most SWD technologies rely on pilot sensors and/or models to predict the drill-bit source function, whose imprint is then removed from the data. Interferometry by deconvolution is of most use to SWD applications in which pilot records are absent or provide unreliable estimates of bit excitation. With a numerical SWD subsalt example, we show that deconvolution interferometry provides an image of the subsurface that cannot be obtained by correlations without an estimate of the source autocorrelation. Finally, we test the use of deconvolution interferometry in processing SWD field data acquired at the San Andreas Fault Observatory at Depth (SAFOD). Because no pilot records were available for these data, deconvolution outperforms correlation in obtaining an interferometric image of the San Andreas fault zone at depth.

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