Influence of earthquake duration on structural collapse assessment using hazard-consistent ground motions for shallow crustal earthquakes

Du, Wenqi; Yu, Xiaohui; Ning, Chao‐Lie

doi:10.1007/s10518-020-00814-2

Cited by 23 publications

(7 citation statements)

References 41 publications

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“…Since the dissipated energy under cyclic excitations is incorporated, the Park & Ang damage index monotonically increases with earthquake duration. This characteristic is appealing given the important role of duration in the seismic risk assessment 60,61 , which helps divide the MS‐AS induced accumulative structural damage into the MS and AS damage parts. Second, the Park & Ang damage index has been widely used for RC structures due to its simplicity and good correlation with the observed damage 40 .…”

Section: Case Study: a Rc Frame Structurementioning

confidence: 99%

Development of fragility surfaces for reinforced concrete buildings under mainshock‐aftershock sequences

Zhou

et al. 2021

Earthq Engng Struct Dyn

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A single intensity measure (IM) is commonly used to develop fragility curves for structures subjected to mainshock‐aftershock (MS‐AS) scenarios. This study aims to propose a framework to develop MS‐AS fragility surfaces by characterizing the MS‐AS sequences with two IMs. To do this, the well‐known Park & Ang damage index, which increases monotonically with the ground motion duration, is adopted to represent the accumulative structural damage during sequential excitations. The MS‐AS accumulative damage of structures is thus represented by the combination of the initial damage caused by MS and the incremental damage caused by AS. Based on total probability theorem, the process of assessing MS‐AS fragility is consequently divided into two parts, namely the MS fragility assessment and the AS fragility assessment, respectively, where the cases of dynamic instability are considered. The proposed framework is illustrated using a typical four‐story reinforced concrete frame building. The peak ground velocity values of both MS and AS are taken as the representative IMs for the MS‐AS sequences. The fragility results for MS only and MS‐AS sequences are compared to scrutinize the effects of AS on structural damage. It is found that the MS‐AS sequence can cause significantly larger exceedance probabilities of limit states compared to the MS only. The MS‐AS sequence also leads to a reduction of the MS‐AS fragility median conditioned on a given AS intensity. Such reduction increases with the increase of the AS intensity.

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Section: Case Study: a Rc Frame Structurementioning

confidence: 99%

Development of fragility surfaces for reinforced concrete buildings under mainshock‐aftershock sequences

Zhou

et al. 2021

Earthq Engng Struct Dyn

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“…Statistical evaluation is made to assess the performance of the developed model and existing equations, including several statistical measures such as the mean absolute percentage error (MAPE), the mean square error (MSE), the root means square error (RMSE), and the R -squared value. Herein, note that the above statistical measures have been widely used in the fields of structural engineering (Ang and Tang, 2007; Du et al, 2019, 2020; Li et al, 2020). The definitions of these statistical measures are presented aswhere oi and ei are the experimental data and predicted strength, respectively; o¯i is the mean of experimental data; and N is the total number of RC columns included in the compiled experimental database.…”

Section: Comparison With Existing Equationsmentioning

confidence: 99%

Peak strength prediction of reinforced concrete columns in different failure modes based on gene expression programming

Mansouri

İpek

Güneyisi

et al. 2021

Advances in Structural Engineering

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The peak strength of reinforced concrete (RC) columns plays an important role in the appraisal of inelastic seismic performance. It depends on various parameters related to the geometry, reinforcement detail, material property, confinement effect, and loading condition. In applications, it is usually a prior condition to classify the failure modes of RC columns for predicting the peak strength accurately. Yet, classifying the failure modes of RC columns in an accurate way is a difficult task due to the complexity of the shear transfer mechanism. Thus, there is a need to develop a peak strength prediction model for RC columns failing in different modes directly. In this study, an attempt has been made by implementing the gene expression programming (GEP) method to realize this purpose. The experimental data required for the implementation of the GEP method are based on extensive results of RC columns tested in quasi-static cyclic loading. To validate the efficiency of the developed model, a detailed comparison against existing equations is conducted. The comparative results indicate that the developed model produces a rational prediction for the peak strength of RC columns in various failure modes. Based on the developed model, the peak strength can be predicted in a unified way for both ductile and non-ductile RC columns, which is beneficial for the seismic evaluation of existing structures.

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“…A set of 662 real MS-AS earthquake sequences were selected from 13 earthquake events based on the NGA-West2 database (https://peer.berkeley.edu/research/nga-west-2) (Ancheta et al [58]). The NGA-West2 database has been used to develop the latest generation of ground motion prediction equations for shallow crustal earthquakes (e.g., Campbell and Bozorgni [59], Du et al [32] The detailed information of the selected ground motion records and the related earthquake events can be found in Zhu et al [60]. It is noteworthy that, among the aftershock sequences triggered by a specific mainshock, only aftershock record with the largest magnitude was adopted.…”

Section: Selection Of Ms-as Sequencesmentioning

confidence: 99%

“…An IM with a close dependence on structural damage can well reflect the damage potential of an earthquake. In recent years, different IMs have been linked with various structural damage indices to examine their correlation levels [26][27][28][29][30][31][32]. These studies have reported that the correlation between IMs and structural damage is affected by many factors, including the near-or far-fault ground motions [33,34], dimensionality of earthquake inputs [35,36], structural properties [37], and structural damage indicators adopted [38].…”

Section: Introductionmentioning

confidence: 99%

Identifying Optimal Intensity Measures for Predicting Damage Potential of Mainshock–Aftershock Sequences

Zhou

Lü

2020

Applied Sciences

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Large earthquakes are followed by a sequence of aftershocks. Therefore, a reasonable prediction of damage potential caused by mainshock (MS)–aftershock (AS) sequences is important in seismic risk assessment. This paper comprehensively examines the interdependence between earthquake intensity measures (IMs) and structural damage under MS–AS sequences to identify optimal IMs for predicting the MS–AS damage potential. To do this, four categories of IMs are considered to represent the characteristics of a specific MS–AS sequence, including mainshock IMs, aftershock IMs (i.e., IMMS and IMAS, respectively), and two newly proposed IMs through taking an entire MS–AS sequence as one nominal ground motion (i.e., IM1MS–AS), or determining the ratio of IMAS to IMMS (i.e., IM2MS–AS), respectively. The single-degree-of-freedom systems with varying hysteretic behaviors are subjected to 662 real MS–AS sequences to estimate structural damage in terms the Park–Ang damage index. The intensities in terms of IMMS, IMAS, and IM1MS–AS are correlated with the accumulative damage of structures (i.e., DI1MS–AS). Moreover, the ratio (i.e., DI2MS–AS) of the AS-induced damage increment to the MS-induced damage is related to IM2MS–AS. The results show that IM2MS–AS exhibits significantly better performance than IMMS, IMAS, and IM1MS–AS for predicting the MS–AS damage potential, due to its high interdependence with DI2MS–AS. Among the considered 22 classic IMs, Arias intensity, root-square velocity, and peak ground displacement are respectively the optimal acceleration-, velocity-, and displacement-related IMs to formulate IM2MS–AS. Finally, two empirical equations are proposed to predict the correlations between IM2MS–AS and DI2MS–AS in the entire structural period range.

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Influence of earthquake duration on structural collapse assessment using hazard-consistent ground motions for shallow crustal earthquakes

Cited by 23 publications

References 41 publications

Development of fragility surfaces for reinforced concrete buildings under mainshock‐aftershock sequences

Development of fragility surfaces for reinforced concrete buildings under mainshock‐aftershock sequences

Peak strength prediction of reinforced concrete columns in different failure modes based on gene expression programming

Identifying Optimal Intensity Measures for Predicting Damage Potential of Mainshock–Aftershock Sequences

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