Accelerometer, Velocimeter Dense‐Array, and Rotation Sensor Datasets from the Sinaps@ Postseismic Survey (Cephalonia 2014–2015 Aftershock Sequence)

Perron, Vincent; Hollender, Fabrice; Mariscal, Armand; Theodoulidis, N.; Andreou, Chrisostomos; Bard, Pierre‐Yves; Cornou, Cécile; Cottereau, Régis; Cushing, Edward Marc; Frau, Alberto; Hok, Sébastien; Konidaris, Agisilaos; Langlaude, Philippe; Laurendeau, Aurore; Savvaidis, Alexandros; Svay, Angkeara

doi:10.1785/0220170125

Cited by 25 publications

(23 citation statements)

References 12 publications

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“…A post seismic campaign was conducted at Argostoli area ( Figure 1a) within the framework of the SINAPS@ project, funded by the French Research Agency (ANR). A dense two-dimensional (2D) dense array, referred as "rock array" in this work (Figure 1b,c), intended to study short distance spatial variability of ground motion, was deployed on the rock formation from February 6 to March 10, 2014 (Perron et al 2018). This network complements the dataset recorded by a geometrically similar, smaller-size array, referred as "soft-soil array" here ( Figure 1b,d Five stations, branching off from A00 in five directions, N39°E, N112°E, N183°E, N255°E…”

Section: Argostoli Dense Seismic Arraysmentioning

confidence: 99%

Wavefield Characteristics and Spatial Incoherency: A Comparative Study from Argostoli Rock‐ and Soil‐Site Dense Seismic Arrays

Imtiaz

Perron

Hollender

et al. 2018

Bulletin of the Seismological Society of America

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The current article focuses on the results obtained from the analysis of seismic events recorded by a dense array located on a rock site at Argostoli in the Cephalonia Island of Greece. The objective of the study is threefold: (1) to explore to what extent the non-direct, diffracted surface waves influence the seismic wavefield at a rock site, (2) to investigate the loss of coherency of ground motions, and (3) to compare the results with those from a previously studied similar array located at an adjacent small, shallow sedimentary valley (soft-soil site). Both arrays consist of 21 velocimeters encompassing a central station in four concentric circles with diameters ranging from 10 to 180 m at the soft-soil and 20 to 360 m at the rock site. The seismic datasets under consideration include 40 or more events occurring around the site at epicentral distances up to 200 km having magnitudes ranging from 2 to 5. The seismic wavefields at both sites are analyzed by using the MUSIQUE algorithm: the backazimuth and slowness of the dominant incoming waves are extracted and the Love and Rayleigh waves are identified. Lagged coherency is estimated from the dataset, and the results are averaged for station pairs located at four separation distance intervals, 10-20, 20-30, 30-40 and 80-90 m. The results indicate that coherency at the rock site is, generally, larger than that from the softsoil, especially at frequencies below 5 Hz. At soil site, lower coherency is observed for pairs along the valley-width direction while no such directional dependence is observed at the rock. The wavefield analysis shows that whilst about 40-60% of the seismogram energy at the softsoil could be associated to diffracted surface waves (Love and Rayleigh) appearing mainly from the valley-width directions, only about 20% of energy at the rock site could be characterized as diffracted surface waves. Comparison with the widely-quoted parametric models reveals that the observed decay of coherency at both sites has little correlation with those from the models. These significant differences observed between the results of the rock and soil array indicate that the spatial incoherency is largely site dependent and is likely to be closely related with the formation of locally generated wavefield.

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Section: Argostoli Dense Seismic Arraysmentioning

confidence: 99%

Wavefield Characteristics and Spatial Incoherency: A Comparative Study from Argostoli Rock‐ and Soil‐Site Dense Seismic Arrays

Imtiaz

Perron

Hollender

et al. 2018

Bulletin of the Seismological Society of America

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“…This sequence motivated the organization of a post-seismic survey of the SINAPS@ project Perron et al 2017). This survey involved many instruments (i.e., accelerometers, broadband seismometers, rotation sensors) that were deployed on different soil conditions.…”

Section: The Sinaps@ Kefalonia-argostoli Test Sitementioning

confidence: 99%

“…This period is defined as "phase 1. " Within the available open dataset described in Perron et al (2017), this rotation sensor location is called "ROSA. " Using this procedure (as described above), 421 events were extracted.…”

Section: Building the Kefalonia Rotational Datasetsmentioning

confidence: 99%

“…This period is defined as "phase 2. " Within the available open dataset described in Perron et al (2017), this rotation sensor location is called "RORA. " Phase 2 allows the comparison between the rotation and translation data and also the comparison with the wavefield composition extracted from the dense array .…”

Section: Building the Kefalonia Rotational Datasetsmentioning

confidence: 99%

“…Please cite the present paper and Perron et al (2017) if you use these datasets. If there is any need to use the raw data for a specific research project, please contact the second author.…”

Section: Acknowledgementsmentioning

confidence: 99%

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Analysis of rotation sensor data from the SINAPS@ Kefalonia (Greece) post-seismic experiment—link to surface geology and wavefield characteristics

Sbaa

Hollender

Perron

et al. 2017

Earth Planets Space

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The effect of rotational component of earthquake excitation on the response of steel structures

Pnevmatikos¹,

Konstandakopoulou

Papavasileiou³

et al. 2021

ce papers

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This work is on the influence of the rotational component of earthquake excitations to the response of steel structures. In most studies, seismic input is being modeled only using the translational component of the ground acceleration, while the rotational one is ignored. This was due to the observation that the rotational component had minimal effect on low‐rise buildings. Hence, the accelerometers used would not measure it, leading to a lack of records. Nowadays, technology provides such instruments and relative records are made available. Indicative of that is that elastic design response spectra for rotational components are introduced to the design codes. In this paper, the results on structural response and internal forces due to the rotational component of a seismic excitation on the steel structures are examined. Dynamic time history analysis and response spectrum analysis of different steel structures are performed (a) considering the rotational component of the excitation and (b) without it. From the numerical results it is shown that the impact of rotational component in structural response and internal forces of the steel structures is significant and should not be ignored during structural design.

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Accelerometer, Velocimeter Dense‐Array, and Rotation Sensor Datasets from the Sinaps@ Postseismic Survey (Cephalonia 2014–2015 Aftershock Sequence)

Cited by 25 publications

References 12 publications

Wavefield Characteristics and Spatial Incoherency: A Comparative Study from Argostoli Rock‐ and Soil‐Site Dense Seismic Arrays

Wavefield Characteristics and Spatial Incoherency: A Comparative Study from Argostoli Rock‐ and Soil‐Site Dense Seismic Arrays

Analysis of rotation sensor data from the SINAPS@ Kefalonia (Greece) post-seismic experiment—link to surface geology and wavefield characteristics

The effect of rotational component of earthquake excitation on the response of steel structures

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