Damage scenarios for RC buildings during the 2012 Emilia (Italy) earthquake

Verderame, Gerardo Mario; Ricci, Paolo; Luca, Flavia De; Gaudio, Carlo Del; Risi, Maria Teresa De

doi:10.1016/j.soildyn.2014.06.034

Cited by 38 publications

(24 citation statements)

References 28 publications

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“…Equations 8and 9. Finally the switch from T 0 to the equivalent elastic period T is made through the amplification coefficient , calibrated on detailed analytical data (Verderame et al, 2012;Verderame et al, 2013, Manfredi et al, 2013, and assumed equal to 1.4.…”

Section: Simplified Capacity Curve Of Infilled Rc Mrf Structuresmentioning

confidence: 99%

The structural role played by masonry infills on RC building performances after the 2011 Lorca, Spain, earthquake

Luca

Verderame

Gómez-Martínez

et al. 2013

Bull Earthquake Eng

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134

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On May 11, 2011 an earthquake of magnitude 5.1 ( TeX ) struck Murcia region causing nine casualties and damage to buildings and infrastructures. Even if the main characteristics of the event would classify it as a moderate earthquake, the maximum Peak Ground Acceleration (PGA) registered (equal to 0.37 g) exceeded significantly local code provisions in terms of hazard at the site. This high PGA was a result of directivity effects in the near source region. An overview of earthquake characteristics and damage observed is provided. Notwithstanding the lack of proper structural design characterizing building stock in the area, most of the losses were caused by non-structural damage. According to in field observations, it emerges that masonry infills provided additional, “not designed”, strength to reinforced concrete (RC) buildings. Observed damage data, collected after the earthquake, are shown and compared to the results of a simplified approach for nonstructural damage assessment of RC infilled structures (FAST vulnerability approach). The latter comparison provided a fair accordance between observed data and analytical results

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Section: Simplified Capacity Curve Of Infilled Rc Mrf Structuresmentioning

confidence: 99%

The structural role played by masonry infills on RC building performances after the 2011 Lorca, Spain, earthquake

Luca

Verderame

Gómez-Martínez

et al. 2013

Bull Earthquake Eng

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134

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“…Many studies have focused on the cumulative damage effects of aftershocks on different types of structures . Among these, Luco et al developed a set of state‐dependent fragility curves by using nonlinear dynamic analysis.…”

Section: Introductionmentioning

confidence: 99%

Mainshock‐aftershock state‐dependent fragility curves: A case of wood‐frame houses in British Columbia, Canada

Zhang

Goda

Luca

et al. 2020

Earthq Engng Struct Dyn

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During a mainshock-aftershock (MSAS) sequence, there is no time to retrofit structures that are damaged by a mainshock; therefore, aftershocks could cause additional damage. This study proposes a new approach to develop state-dependent fragility curves using real MSAS records. Specifically, structural responses before and after each event of MSAS sequences are used to obtain statistical relationships among the engineering demand parameter prior to the seismic event (pre-EDP), the intensity measure of the seismic event (IM), and the engineering demand parameter after the seismic event (post-EDP). The developed fragility curves account for damage accumulation, providing the exceeding probability of damage state (DS) given the IM of the event and the DS of the structure prior to the seismic excitation. The UBC-SAWS model, which was developed for wood-frame houses in British Columbia, Canada, is considered as a case study application. Results indicate that for the examined structural typology, state-dependent fragility curves based on residual interstorey drift ratio (pre-EDP), peak ground velocity (IM), and maximum inter-storey drift ratio (post-EDP) are the best choice to characterise the cumulative damage effect. An illustration of the developed fragility curves is provided by considering a hypothetical MSAS scenario of a M w 9.0 Cascadia mainshock triggering a M w 6.0 crustal event in the Leech River fault, affecting wooden houses in Victoria, Canada. The MSAS scenario increases Yellow tags (restricted access) by 12.3% and Red tags (no access) by 4.8%. K E Y W O R D Scloud analysis, multinomial distribution, nonlinear dynamic analysis of wood-frame houses, real mainshock-aftershock sequences, state-dependent aftershock fragility curves /journal/eqe of-freedom system and used the maximum inter-storey drift ratio (MaxISDR) as EDP. Ebrahimian et al (2014) developed a performance-based framework for aftershock risk forecasting, which consists of an epidemic-type aftershock sequence model and event-based aftershock fragility curves. 7 The ground motion records that were constructed for developing event-dependent aftershock fragility curves were selected from the pool of observed aftershock events.The procedure by Luco et al facilitates various postearthquake decision-making, such as building-tagging and seismic loss estimation. However, there are four aspects that can be improved. (1) Since the aftershock records from the back-to-back application are constructed from mainshock records, the link between the prestructural response by the mainshock and the poststructural response by the aftershock is eliminated. Thus, real MSAS records are desirable.(2) The post-EDP may be overestimated, when the back-to-back application of mainshock records is used for aftershock records with IDA. 13 (3) The computational cost of the back-to-back approach with IDA is high. 12 (4) An appropriate set of IMs and EDPs needs to be selected to represent the intensity of ground motions and structural responses, respectively. The spectral accel...

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“…Therefore, it is important, especially after the recent seismic events that occurred in Italy [1][2][3][4], to carry out a seismic risk analysis on a 'large', i.e., territorial, scale. As known, the seismic vulnerability, i.e., the probability that a building will suffer damage following an earthquake of a given intensity, is one of the risk components for constructions.…”

Section: Introductionmentioning

confidence: 99%

Simplified Seismic Vulnerability Assessment Methods: A Comparative Analysis with Reference to Regional School Building Stock in Italy

2020

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The paper compares several simplified methods proposed in the literature for assessing the seismic vulnerability of existing buildings. Type and number of input and output data, limitations of use for different structural typologies, and complexity of use are examined for each methodology to identify the most suitable for assessing the vulnerability of a given class of buildings, based on the available data, the computational effort, and the type of vulnerability judgment. The selected methods were applied to a sample of school buildings located in the province of Naples (Italy). Data were available due to a digital platform and were used to verify the possibility of providing reliable large scale vulnerability judgments based on a reduced set of information, without carrying out additional surveys. The most simplified methods were applied to a sample of about a thousand of buildings, while more detailed methods, needing more information, were applied to a smaller sample. The comparison between the results obtained from different methods allows highlighting advantages and weaknesses of each, so as to identify the convenience in their use according to the specific available information and the objectives of the analysis, finally to evaluate which is more or less safe.

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Damage scenarios for RC buildings during the 2012 Emilia (Italy) earthquake

Cited by 38 publications

References 28 publications

The structural role played by masonry infills on RC building performances after the 2011 Lorca, Spain, earthquake

The structural role played by masonry infills on RC building performances after the 2011 Lorca, Spain, earthquake

Mainshock‐aftershock state‐dependent fragility curves: A case of wood‐frame houses in British Columbia, Canada

Simplified Seismic Vulnerability Assessment Methods: A Comparative Analysis with Reference to Regional School Building Stock in Italy

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