Vulnerability prediction model of typical structures considering empirical seismic damage observation data

Li, Si-Qi; Liu, Hongbo

doi:10.1007/s10518-022-01395-y

Cited by 40 publications

(3 citation statements)

References 40 publications

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“…The damage to artificial structures caused by earthquakes has long been a matter of concern, and earthquakes of different intensities significantly impact human production and life [1,2]. Macroseismic vulnerability and seismic damage are important issues in the field of seismic safety.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Effect of Soil Layering on Soil-structure Interaction under Seismic Load

Zarinfar

2022

IJE

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Considering soil layering is a crucial and effective issue in investigating the seismicity of structures. However, previous studies have not examined the presence of a rock layer in soft soil. So, in the present paper, the effect of the rock layer in soft soil on the forces and displacements created in the low-and midrise steel moment frame was investigated. Thus, several numerical calculations were performed on 12 different sizes of rock layers at three different depths. Finite element models were analyzed using ABAQUS Software and considering the interaction of structure and soil. Results of the studies showed that the value of force and displacement depends on the frequency of the structure, the frequency of the soil-structure system, dominant earthquake frequency, the rock weight, and the stiffness of the structure. Two new parameters are defined that have a linear relationship with force and displacement. Results show that the thickness and length of the rock layer affect the value of force and displacement. Also, the presence of a rock layer in the soil may not be reliable and may increase the shear force by up to 27%, the axial force by up to 10%, and the moment by up to 19%. The effect of the presence of a rock layer on the displacement is more than on the force and increases the lateral displacement by up to 31% and the relative vertical displacement of the foundation by up to 59%.

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Section: Introductionmentioning

confidence: 99%

Investigating the Effect of Soil Layering on Soil-structure Interaction under Seismic Load

Zarinfar

2022

IJE

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“…There have been hundreds of Ms 7 EQs worldwide from 2000 to now [1]. EQs cause direct damage to the buildings in the residential areas in the center of the EQ and cause different levels of damage to buildings of different materials and structures [2,3]. Secondary disasters such as tsunamis and landslides triggered by EQs cause enormous human casualties, construction damages, and property losses [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Preliminary Study on the Generating Mechanism of the Atmospheric Vertical Electric Field before Earthquakes

et al. 2022

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Precursor signals for earthquakes, such as radon anomalies, thermal anomalies, and water level changes, have been studied in earthquake prediction over several centuries. The atmospheric vertical electric field anomaly has been observed in recent years as a new and valuable signal for short-term earthquake prediction. In this paper, a physical mechanism of the atmospheric vertical electric field anomaly before the earthquake was proposed, based on which the Wenchuan earthquake verified the correctness of the model. Using Monte Carlo simulations, the variation of the radon concentration with height before the earthquake was used to simulate and calculate the ionization rates of radioactive radon decay products at different heights. We derived the atmospheric vertical electric field from −593 to −285 V/m from the surface to 10 m before the earthquake by solving the system of convection-diffusion partial equations for positive and negative particles. Moreover, negative atmospheric electric field anomalies were observed in both Wenjiang and Pixian before the Wenchuan earthquake on 12 May, with peaks of −600 V/m in Pixian and −200 V/m in Wenjiang. The atmospheric electric field data obtained from the simulation were shown to be in excellent concordance with the observed data of the Wenchuan earthquake. The physical mechanism can provide theoretical support for the atmospheric electric field anomaly as an earthquake precursor.

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“…vation of Iran (SOSRI) [16], the SAARC Disaster Management Center (SDMC) [17], and churches [18][19][20][21]. In addition to the RVS methods established nationally or institutionally, there has been extensive research carried out on the development [22][23][24], implementation [25][26][27][28][29][30][31], enhancement [1,32,33], and review [34][35][36] of conventional RVS methods.…”

Section: Introductionmentioning

confidence: 99%

Development of a Fuzzy Inference System Based Rapid Visual Screening Method for Seismic Assessment of Buildings Presented on a Case Study of URM Buildings

2022

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Many conventional rapid visual screening (RVS) methods for the seismic assessment of existing structures have been designed over the past three decades, tailored to site-specific building features. The objective of implementing RVS is to identify the buildings most susceptible to earthquake-induced damage. RVS methods are utilized to classify buildings according to their risk level to prioritize the buildings at high seismic risk. The conventional RVS methods are employed to determine the damage after an earthquake or to make safety assessments in order to predict the damage that may occur in a building before an impending earthquake. Due to the subjectivity of the screener based on visual examination, previous research has shown that these conventional methods can lead to vagueness and uncertainty. Additionally, because RVS methods were found to be conservative and to be partially accurate, as well as the fact that some expert opinion based developed RVS techniques do not have the capability of further enhancement, it was recommended that RVS methods be developed. Therefore, this paper discusses a fuzzy logic based RVS method development to produce an accurate building features responsive examination method for unreinforced masonry (URM) structures, as well as a way of revising existing RVS methods. In this context, RVS parameters are used in a fuzzy-inference system hierarchical computational pattern to develop the RVS method. The fuzzy inference system based RVS method was developed considering post-earthquake building screening data of 40 URM structures located in Albania following the earthquake in 2019 as a case study. In addition, FEMA P-154, a conventional RVS method, was employed to screen considered buildings to comparatively demonstrate the efficiency of the developed RVS method in this study. The findings of the study revealed that the proposed method with an accuracy of 67.5% strongly outperformed the conventional RVS method by 42.5%.

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Vulnerability prediction model of typical structures considering empirical seismic damage observation data

Cited by 40 publications

References 40 publications

Investigating the Effect of Soil Layering on Soil-structure Interaction under Seismic Load

Investigating the Effect of Soil Layering on Soil-structure Interaction under Seismic Load

Preliminary Study on the Generating Mechanism of the Atmospheric Vertical Electric Field before Earthquakes

Development of a Fuzzy Inference System Based Rapid Visual Screening Method for Seismic Assessment of Buildings Presented on a Case Study of URM Buildings

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