Site response analysis of an urban area: A multi-dimensional and non-linear approach

Falcone, Gaetano; Boldini, Daniela; Amorosi, A.

doi:10.1016/j.soildyn.2018.02.026

Cited by 29 publications

(11 citation statements)

References 30 publications

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“…), Shear strength parameter (Cohesion, Friction angle and Dilatancy Angle) and density are assigned to all the soil/sediment layers using geotechnical parameters measured through drilling and sample testing. In PLAXIS 3D we have employed a 'Hardening Soil model with small-strain stiffness (HSsmall)' constitutive model (Falcone et al 2018) for nonlinear site response analysis. Subsequently, dynamic boundary conditions have been assigned in terms of None/Viscous in X, Y and Z Cartesian co-ordinate directions.…”

Section: D and 3d Site Response Analysismentioning

confidence: 99%

Site-characterization using 1D/2D/3D Site Response Modelling vis-à-vis Surface-consistent Probabilistic Seismic Hazard, Microzonation and Damage Potential Studies in the Six-Tectonic Ensemble consisting of Kashmir Himalaya to Northeast India

Nath,

Biswas,

Srivast

et al. 2024

Preprint

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Indian subcontinent, marked by its intricate seismotectonic settings stands out as the most active region in the globe. This study conducts a firm rock-compliant Probabilistic Seismic Hazard Assessment considering both tectonic and polygonal sources in 0-25km, 25-70km, 70-180km, and 180-300km depth ranges, Next Generation Attenuation models through a logic tree framework across the Tectonic Ensemble from Kashmir Himalaya to Northeast India encompassing six seismogenic tectonic provinces classifying the Ensemble in the 'High' to 'Severe' hazard regime, highlighting the need for a site-specific surface-consistent investigation that shear-wave velocity characterises the Ensemble into 11 site classes and estimates Surface-consistent Probabilistic Seismic Hazard of the Ensemble in the range of 0.25-2.91g for 475 years of return period using a systematic 1D/2D/3D site response analysis. Liquefaction Potential and Landslide Susceptibility Index adds secondary hazard to both geohazard and seismic hazard regime for a comprehensive seismic hazard microzonation of the important Cities and urban centres in the Tectonic Ensemble. The damage states modelled using capacity spectrum method on prevailing building types for the Surface-consistent Probabilistic PGA by SELENA are found to be well-aligned with the reported damage scenarios of A1, URM, and RC buildings triggered by large historical earthquakes in each of the tectonic provinces.

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Section: D and 3d Site Response Analysismentioning

confidence: 99%

Site-characterization using 1D/2D/3D Site Response Modelling vis-à-vis Surface-consistent Probabilistic Seismic Hazard, Microzonation and Damage Potential Studies in the Six-Tectonic Ensemble consisting of Kashmir Himalaya to Northeast India

Nath,

Biswas,

Srivast

et al. 2024

Preprint

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“…The large difference in horizontal ground vibration PGV Hmod values at the individual station is not explained by the values of vibration amplification coefficient W f at the point of registration. Bearing in mind that seismic waves propagation is affected by lithostratigraphic and topographic local conditions-e.g., [26][27][28][29][30][31][32][33][34], the distribution of the amplification factor W f is shown in Figure 5. The error in determining the value PGV H indicates that the standard deviation S = 0.314.…”

Section: Ground Vibrationsmentioning

confidence: 99%

The Impact of High-Energy Mining-Induced Tremor in a Fault Zone on Damage to Buildings

et al. 2021

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Seismic energy propagation from the hypocentre of mining-induced tremors usually causes an uneven distribution of the peak ground velocity PGVHmax in tectonically complicated structures, and consequently, an uneven distribution of damage to buildings located on the ground surface. This study aimed to estimate the impact of high-energy mining-induced tremors in fault zones on damage to buildings. In the study, we describe a case of one of the highest-energy mining-induced tremors E = 4.0 · 108 J (local magnitude ML = 3.6) that occurred in the Upper Silesian Coal Basin (USCB), Poland. The hypocentre of the tremor was most probably located in the Barbara fault zone, one of the larger faults in that western part of the USCB. Numerous damaged buildings on the terrain surface were registered, both in the epicentral zone and at a greater distance from the epicentre, mostly from the southern side of the Barbara fault zone. We calculated that the tremor was characterised by a normal slip mechanism associated with the same kind of fault as the Barbara fault. The azimuth of the nodal planes was similar to the west-east direction, which is consistent with the azimuth of the Barbara fault. From the focal mechanism, the greatest propagation of seismic energy occurred in south and west-east directions from the tremor hypocentre towards the surface. It was found that from the northern side of the hanging wall of the Barbara fault, there were 14 instances of damage (19%), and in the southern part of a hanging wall, there were 58 (81%). Therefore, the directionality of seismic energy propagation is aligned with the focal mechanism acting in the Barbara fault. It has also been concluded that a width of the zone of up to about 1200 m along the Barbara fault is the most threatening on the basis of registered building damage in the geological conditions of USCB. The study has shown that in assessing the impact of mining-induced tremors on buildings and the environment, the disturbance of seismic energy propagation by larger faults should be considered.

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“…Due to local site effects, greater seismic losses often occur due to ground failures, increased intensity of shaking under some soil and topographic conditions, and selective amplification of ground motion at the frequencies critical to the structural response. While geotechnical data collected at individual construction sites can be very valuable in this effort, geological maps of districts and zones in a region-which are more commonly available-are more useful (e.g., [16,17]). Silva et al [3] proposed that the relationship between a model's resolution and the ground motion spatial correlation, as well as the consideration of local effects, such as ground motion site amplification, should be investigated further.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of Earthquake Damage Estimation to the Input Data (Soil Characterization Maps and Building Exposure): Case Study in the Luchon Valley, France

et al. 2021

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This article studies the effects of the soil data and exposure data of residential building inventories, as well as their spatial resolution, on seismic damage and loss estimates for a given earthquake scenario. Our aim is to investigate how beneficial it would be to acquire higher resolution inventories at the cost of additional effort and resources. Seismic damage computations are used to evaluate the relative influence of varying spatial resolution on a given damage model, where other parameters were held constant. We use soil characterization maps and building exposure inventories, provided at different scales from different sources: the European database, a national dataset at the municipality scale, and local field investigations. Soil characteristics are used to evaluate site effects and to assign amplification factors to the strong motion applied to the exposed areas. Exposure datasets are used to assign vulnerability indices to sets of buildings, from which a damage distribution is produced (based on the applied seismic intensity). The different spatial resolutions are benchmarked in a case-study area which is subject to moderate-to-average seismicity levels (Luchon valley in the Pyrénées, France). It was found that the proportion of heavily damaged buildings is underestimated when using the European soil map and the European building database, while the more refined databases (national/regional vs. local maps) result in similar estimates for moderate earthquake scenarios. Finally, we highlight the importance of pooling open access data from different sources, but caution the challenges of combining different datasets, especially depending on the type of application that is pursued (e.g., for risk mitigation or rapid response tools).

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Site response analysis of an urban area: A multi-dimensional and non-linear approach

Cited by 29 publications

References 30 publications

Site-characterization using 1D/2D/3D Site Response Modelling vis-à-vis Surface-consistent Probabilistic Seismic Hazard, Microzonation and Damage Potential Studies in the Six-Tectonic Ensemble consisting of Kashmir Himalaya to Northeast India

Site-characterization using 1D/2D/3D Site Response Modelling vis-à-vis Surface-consistent Probabilistic Seismic Hazard, Microzonation and Damage Potential Studies in the Six-Tectonic Ensemble consisting of Kashmir Himalaya to Northeast India

The Impact of High-Energy Mining-Induced Tremor in a Fault Zone on Damage to Buildings

Sensitivity of Earthquake Damage Estimation to the Input Data (Soil Characterization Maps and Building Exposure): Case Study in the Luchon Valley, France

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