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Paredes, J., (2020). Ground Motion Models Considering Diverse Ground Motion Intensity Measure Parameters for the Peruvian Subduction Zone [University of Bristol]. https://renati.sunedu.gob.pe/handle/sunedu/3094212
Paredes, J., Ground Motion Models Considering Diverse Ground Motion Intensity Measure Parameters for the Peruvian Subduction Zone []. GB: University of Bristol; 2020. https://renati.sunedu.gob.pe/handle/sunedu/3094212
@mastersthesis{renati/3139,
title = "Ground Motion Models Considering Diverse Ground Motion Intensity Measure Parameters for the Peruvian Subduction Zone",
author = "Paredes Estacio, Jorge Luis",
publisher = "University of Bristol",
year = "2020"
}
This dissertation is written for the purpose of developing a Ground-Motion Prediction Equation (GMPE) for the Peruvian subduction zone, which relies on foreign GMPEs for Probabilistic Seismic Hazard Assessment (PSHA) from which is base the current Peruvian seismic code (E030). The proposed GMPE model not only predict common Intensity Measures (IM) for both horizontal and vertical components like peak ground acceleration (PGA) and Spectral accelerations (𝑆ₐ) between 0.2 and 5.0s, but also covers other IMs such as the mean period (𝑇ₘ), the 𝑃𝐺𝐴⁄𝑃𝐺𝑉 ratio, the 𝑃𝐺𝐴⁄𝑃𝐺𝑉𝑇ₘ ratio and the 𝑃𝐺𝐴⁄(𝑃𝐺𝑉𝑓ₘ) ratio. The latter two parameter relates PGA, peak ground velocity (PGV) and mean frequency (𝑓ₘ), which is the inverse of the 𝑇ₘ. To do so, a complied dataset of 2803 events were collected mainly from Peru, Chile and Ecuador between 4.0 and 8.5 𝑀w from 1951 to 2020. The current Slab2 three-dimensional geometry of the South America subduction zone as well as other 18 sections derived from different studies were used to define the Peru, Ecuador and Chile subduction zone. This enabled to identify interface, inslab and crustal earthquakes, which represent the 45%, 33% and 22% considering the entire dataset, respectively. So, only 453 interface events were selected with 3750 ground motion records from 533 stations, which comprise six different networks from Peru, Chile and Ecuador. The aforementioned IMs were used as regressor parameters for both horizontal and vertical components to derive GMPEs applicable to a range of 4.0 to 8.5 𝑀w, and a range up to rupture distances (𝑅ᵣᵤₚ) of 1000km by assessing the two-step maximum likelihood. The new GMPE for PGA and 𝑆ₐ performs better than commonly used foreign GMPEs, which tend to underestimate ground motions at 𝑀w higher than 7.0 at a specific 𝑅ᵣᵤₚ range. This implies the E030 is currently providing lower PGA at lower 𝑅ᵣᵤₚ distances for interface events which exclusively harbours the strongest events higher than 8.0 𝑀w for the entire dataset used in this study. Also, a new soil classification and site coefficient are suggested which are quite similar to the Chilean Seismic code (NCh 433). These proposed site coefficients do not underestimate PGA values for soil classes 𝑆₀, 𝑆₂ and 𝑆₃ as the Peruvian Seismic code (E030) does for soils under inelastic behavior caused by strong earthquakes. Besides, the 𝑇ₘ, the 𝑃𝐺𝐴⁄𝑃𝐺𝑉 ratio, and the 𝑃𝐺𝐴⁄𝑃𝐺𝑉𝑓ₘ provide less residuals compared to PGA, 𝑆ₐ, and the 𝑃𝐺𝐴⁄𝑃𝐺𝑉𝑇ₘ ratio. Meanwhile, the 𝑃𝐺𝐴⁄𝑃𝐺𝑉𝑓ₘ is an innovate ratio parameter proposed in this study that has the lowest uncertainty compared to the other IMs. Also, this new IM may contribute to generate reliable synthetic motions with the same proxy applicability range as previous stated when a strong dataset is not available. In addition, the 𝑃𝐺𝐴⁄𝑃𝐺𝑉 ratio indicates that ground motions (GMs) can be classified as high and intermediate range for the South America subduction zone. Besides, the 𝑇ₘ variations indicate that both structures and soils with fundamental periods between 0.1 and 0.70s are more vulnerable to resonate to critical scenarios for both horizontal and vertical motions. Finally, the vertical to horizontal PGA ratio of 2/3 suggested in the Peruvian Seismic code (E030) may overestimate the PGA for vertical ground motions. This study found that this ratio depends strongly on moment magnitude, rupture distances and shear shave velocity (𝑉ₛ₃₀) and for critical scenarios this ratio may be up to 0.55.
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ParedesEstacioJL.pdf | Disertación | 6.97 MB | Adobe PDF | Visualizar/Abrir |
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