Linking ground motion measurements and macroseismic observations in France: a case study based on accelerometric and macroseismic databases

Lesueur, Chloé; Cara, Michel; Scotti, Oona; Schlupp, Antoine; Sira, Christophe

doi:10.1007/s10950-012-9319-2

Cited by 17 publications

(13 citation statements)

References 19 publications

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“…It is well known that perceptions differ depending on the person's position in the building (Lesueur et al, 2013), and this information is used for macroseismic intensity surveys. However, even in nearby buildings, testimonials can also be very different.…”

Section: Discussionmentioning

confidence: 99%

Experimental and Numerical Evidence of the Clustering Effect of Structures on Their Response during an Earthquake: A Case Study of Three Identical Towers in the City of Grenoble, France

Guéguen¹,

Colombi²

2016

Bulletin of the Seismological Society of America

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In this article, interpretation of an equivalent to a macroseismic intensity survey, performed in three identical stand-alone buildings located in Grenoble, France, after an M L 4.1 earthquake, reveals a clustering effect, resulting in different levels of perception of seismic loading by inhabitants. The clustering effect is confirmed using numerical simulation; the variation of the seismic response of the building in the middle of the cluster depends on the azimuth of the seismic source relative to the building cluster. The major effect is the splitting of its resonance frequency, accompanied by a decrease in vibration amplitude. We conclude that clustering has an impact on urban effects, calling into question the validity of seismic design, which considers buildings in urban areas as stand-alone constructions, and the interpretation of macroseismic intensity surveys conducted in dense urban areas.

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Section: Discussionmentioning

confidence: 99%

Experimental and Numerical Evidence of the Clustering Effect of Structures on Their Response during an Earthquake: A Case Study of Three Identical Towers in the City of Grenoble, France

Guéguen¹,

Colombi²

2016

Bulletin of the Seismological Society of America

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“…Structural damage criteria (e.g. roof displacement) correlate better with PGV than PGA [Lesueur et al 2013, Wu et al 2003] particularly for midrise reinforced concrete structures [Perrault and Geuguen 2015]. In addition, CAV is the recommended measures for rapid damage assessment tools like shake maps [Tselentis and Danciu 2008].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Reliability of Mems Accelerometers for Instrumental Intensity Mapping of Earthquakes

Tanırcan

Alçık²,

Beyen

2018

Annals of Geophysics

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This work investigates suitability of low cost Micro-Electro Mechanical System (MEMS) sensors in strong motion related studies, particularly in dense arrays utilized in producing quick shaking intensity maps. Two types of MEMS sensors and a reference sensor are tested under excitations of sweeping waves and scaled earthquake recordings. Transfer functions and correlation coefficients are compared. As for earthquake recordings, comparisons are carried out in terms of basic strong motion parameters and elastic response of structures that influences the design majors. The performance of the MEMS-50 sensor is also investigated on free field conditions. Different sensing characteristics are compared by performing time frequency analyses of small earthquake ground motion recordings of the MEMS-50 based accelerometer and of a co-located reference accelerometer. Test results show that the MEMS-50 sensor is able to record the mid-frequency dominant strong motion parameters with high correlation, where the high frequency components of the ground motion are underestimated. Such a difference in strong motion parameters on the other hand, does not manifest itself on empirical instrumental intensity estimations. Strong motion parameters from the reference and MEMS sensors converge to the same seismic intensity level. Hence a strong motion network with MEMS-50 sensors could be a modest option to produce peak ground velocity-based damage impact of an urban area under large-magnitude earthquake threats in the immediate vicinity. MEMS-5, which is an upper quality ensemble, is recommended for wide range of application including peak ground acceleration-based and peak ground velocity-based rapid shake maps.

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“…The choice of using only high-quality macroseismic data mitigates the possible bias introduced with the use of the nearest value (cf. Lesueur et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Estimation of MCS intensity for Italy from high quality accelerometric data, using GMICEs and Gaussian Naïve Bayes Classifiers

Cataldi

Tiberi

Costa

2021

Bull Earthquake Eng

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Macroseismic intensity provides a qualitative description of seismic damage. It can be associated with Ground Motion Parameters (GMPs), which are extracted in near real-time from instrumental recordings during an earthquake. Several formulations of this empirical association exist in literature for Italy, mainly focusing on the relationship between intensity expressed on the Mercalli-Cancani-Sieberg (MCS) scale and peak ground acceleration or velocity. They are usually in the form of Ground Motion to Intensity Conversion Equations (GMICEs), which treat intensity as a continuous quantity. We propose an alternative approach, the Gaussian Naïve Bayes (GNB) classifiers, which allows to correctly treat intensity according to its ordinal definition. As a comparison, we also implement a modified version of the standard GMICE approach. We expand the existing database of GMP/MCS-intensity points with new, high-quality accelerometric data recorded in Italy in the period from 2002 to 2016 and resample the database by treating the intermediate intensities with half integer values (which are not meaningful in the MCS description) as both belong to the above and below full integer classes with an assigned weight. As a result, we estimate a new set of regression relations and GNB probability distributions between integer MCS intensity classes and eight GMPs (peak acceleration, velocity, displacement, Arias and Housner intensities, spectral acceleration at 0.3, 1.0 and 3.0 s). Results based on PGA and PGV are the most stable on the whole intensity scale. GNB models score better than GMICEs in terms of performance on unseen data and classification scores.

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Linking ground motion measurements and macroseismic observations in France: a case study based on accelerometric and macroseismic databases

Cited by 17 publications

References 19 publications

Experimental and Numerical Evidence of the Clustering Effect of Structures on Their Response during an Earthquake: A Case Study of Three Identical Towers in the City of Grenoble, France

Experimental and Numerical Evidence of the Clustering Effect of Structures on Their Response during an Earthquake: A Case Study of Three Identical Towers in the City of Grenoble, France

Reliability of Mems Accelerometers for Instrumental Intensity Mapping of Earthquakes

Estimation of MCS intensity for Italy from high quality accelerometric data, using GMICEs and Gaussian Naïve Bayes Classifiers

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