Dávalos, Héctor
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Dávalos, Héctor
Official Name
Dávalos Alejo, Héctor Gabriel
Main Affiliation
ORCID
Scopus Author ID
57204065130
Researcher ID
S-2043-2018

Research Output

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Publication

A Ground Motion Prediction Model for Average Spectral Acceleration

2018 , Dávalos, Héctor , Eduardo Miranda

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Publication

Response spectral damping modification factors for structures built on soft soils

2022 , Dávalos, Héctor , Eduardo Miranda , James Bantis , Cristian Cruz

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Directionality of horizontal components of ground motions recorded on soft soil sites

2024 , Dávalos, Héctor , Félix Trejo , Eduardo Miranda

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Overview of collapsed buildings in Mexico City after the 19 September 2017 (Mw7.1) earthquake

2020 , Francisco A. Galvis , Eduardo Miranda , Pablo Heresi , Dávalos, Héctor , Jorge Ruiz-García

An intraslab normal-faulting earthquake struck the central region of Mexico on 19 September 2017, leading to the collapse of 44 buildings in Mexico City. After the earthquake, the authors collected information in situ and through social media about the collapsed buildings, which was statistically processed to identify the causes of their collapse. This article presents the main collapse statistics, which revealed that 64% of the collapsed buildings had between 1 and 5 stories, 61% had a seismic-force-resisting system based on reinforced concrete columns with flat slabs, 57% experienced a soft-story mechanism, 91% were built before 1985, 43% were located at the corner blocks, and 10% exhibited pounding with neighboring buildings. The spatial distribution of the collapsed buildings and the recorded ground motion features suggest that short- and medium-period buildings having well-known vulnerabilities were particularly prone to collapse under amplified high-frequency seismic waves typical of intraslab normal-faulting earthquakes, such as the 2017 Puebla–Morelos earthquake.

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Enhanced Two-Stripe Analysis for Efficient Estimation of the Probability of Collapse

2019 , Dávalos, Héctor , Eduardo Miranda

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Filtered incremental velocity: A novel approach in intensity measures for seismic collapse estimation

2019 , Dávalos, Héctor , Eduardo Miranda

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Evaluation of the Scaling Factor Bias Influence on the Probability of Collapse Using Sa(T1) as the Intensity Measure

2019 , Dávalos, Héctor , Eduardo Miranda

Amplitude scaling is a common approach to modify recorded ground motions to achieve a desired intensity level. The possible bias introduced by scaling the amplitude of ground motions when using the first-mode spectral ordinate as the intensity measure is evaluated using intensity-based analyses. This study evaluates whether upward scaling introduces bias in lateral displacement demands, but more importantly, in the probability of collapse. The latter, which is of utmost importance, has received little attention in previous studies. Analyses were conducted using degrading single-degree-of-freedom and multiple-degree-offreedom systems with different fundamental periods of vibration and normalized strengths subjected to different sets of recorded accelerograms requiring different scale factors to reach a target intensity. The results demonstrate that this type of amplitude scaling introduces a bias in which lateral displacement demands and collapse estimates are increasingly overestimated with an increasing scale factor and that the bias is strongly dependent on the period and lateral strength of the system. Furthermore, the bias is considerably larger in collapse risk estimates.

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Robustness evaluation of fiv3 using near-fault pulse-like ground motions

2021 , Dávalos, Héctor , Eduardo Miranda

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Evaluation of bias on the probability of collapse from amplitude scaling using spectral‐shape‐matched records

2019 , Dávalos, Héctor , Eduardo Miranda

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Damping Modification Factors for Structures Built on Soft Soils

2022 , Dávalos, Héctor

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