The significance of considering multiple angles of seismic incidence for estimating engineering demand parameters

Skoulidou, Despoina; Romão, Xavier

doi:10.1007/s10518-019-00724-y

Cited by 29 publications

(14 citation statements)

References 33 publications

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“…𝑆 maj (𝑇) 𝑆 𝜃 𝑠 ,𝑎 (𝑇) (10) where 𝜃 𝑠 denotes the direction of the strong axis, namely 𝜃 PC , 𝜃 MD , 𝜃 PGA , and 𝜃 𝑤 . The value of 𝛽(𝑇) is plotted in Figure 7(C), shown that the demand ratio 𝛽 can be significantly greater than unity as the natural period increases, especially for the 𝜃 PC , 𝜃 PGA , and 𝜃 MD axes.…”

Section: 𝛽 (𝑇) =mentioning

confidence: 99%

“…The directionality effect of bidirectional ground motions is defined as the characteristics of ground motion along all possible orientations and their influence on the seismic performance assessment. The effects of the incident angle of bidirectional ground motions have received comprehensive investigations 5–10 . For example, the study for symmetric and asymmetric single‐/multistory buildings 11,12 indicated that the critical direction of a ground motion does not necessarily coincide with the direction of the maximum‐direction spectrum (computed at the building's first mode period) or the fault‐normal spectrum.…”

Section: Introductionmentioning

confidence: 99%

“…The effects of the incident angle of bidirectional ground motions have received comprehensive investigations. [5][6][7][8][9][10] For example, the study for symmetric and asymmetric single-/multistory buildings 11,12 indicated that the critical direction of a ground motion does not necessarily coincide with the direction of the maximum-direction spectrum (computed at the building's first mode period) or the fault-normal spectrum. The orthogonal effect of bidirectional ground motions on structural responses has also been investigated in a number of studies by scaling the amplitude of the component perpendicular to a specified strong axis.…”

Section: Introductionmentioning

confidence: 99%

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Influence of directionality of spectral‐compatible Bi‐directional ground motions on critical seismic performance assessment of base‐isolation structures

Lin

Igarashi

2022

Earthq Engng Struct Dyn

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In this study, the effects of the degree of directionality on critical seismic performance assessment are investigated from two aspects: the bidirectional seismic demand represented by maximum‐direction spectrum and the performance indices obtained from nonlinear time‐history analysis. Firstly, typical representations of the bidirectional demand of ground motions are reviewed and compared, in seismic design practices (e.g., ASCE 7‐16, Eurocode8, and JRA). Statistical analysis using 83 ground motions underlines the implication of the spectrum‐compatible condition that has not been fully considered in past studies investigating the bidirectional effects. In the second part, a series of spectrum‐compatible bidirectional ground motions with various degrees of directionality are generated as inputs. The corresponding seismic performance assessment results of a base isolation building with the friction pendulum system are investigated. According to the simulation results, the current design practices could introduce unconservative assessment on the maximum bearing displacement due to the omission of the directionality effect included in the design ground motions, particularly, when the directionality parameter is at a large value (less directionality). The cases with nondirectionality always tend to result in a nearly constant envelope of the maximum interstory drift and the maximum floor acceleration assessment for the full directionality case, over all incident directions. For the critical seismic performance assessment, the two extreme cases, namely the full directionality and nondirectionality cases, are recommended to be considered.

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Section: 𝛽 (𝑇) =mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Influence of directionality of spectral‐compatible Bi‐directional ground motions on critical seismic performance assessment of base‐isolation structures

Lin

Igarashi

2022

Earthq Engng Struct Dyn

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“…It is also necessary to set up a probabilistic assessment framework to account for the uncertainty in ground motion characteristics and orientations. 15,16 The development of performance-based earthquake engineering (PBEE) provides effective means for assessing the system performance in a probabilistic manner. To this end, one of the typical evaluation measures is the monetary loss.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic loss assessment of curved bridges considering the effect of ground motion directionality

Feng

Yuan

Sextos

2021

Earthq Engng Struct Dyn

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This study aims to assess, in a probabilistic manner, the effect of seismic excitation direction on the performance of a 638 m‐long, 12 span prestressed concrete bridge with significant curvature in plan on the basis of overall monetary repair loss. By means of a large number of nonlinear dynamic analyses, the optimum intensity measure (IM) was selected from a pool of twenty candidates considering the impact of seismic excitation direction. Next, the variability of bridge loss with respect to the seismic incidence angle under different groups of earthquake intensities was obtained. Finally, the applicability of combination rules for the seismic performance of curved bridges was evaluated based on the multidirectional loss assessment results. Meanwhile, the effects of seismic excitation direction and earthquake intensity on the evaluation of combination rules were also revealed. Results indicate that velocity‐related or/and structural‐dependent IMs are more appropriate for the probabilistic seismic demand analysis of curved bridges. It is also notable that the total bridge loss gradually turns out to be independent of the seismic excitation direction as the seismic intensity increases and the damage develops throughout the structure. Additionally, the widely used 100/30 and 100/40 rules may lead to an unconservative estimation for the loss of the curved bridge. The above findings highlight the necessity of addressing the issue of ground motion directionality in a rigorous probabilistic manner and pave the way for further research on qualifying the influences of geometric configuration, material parameters, soil type and the consequent soil‐structure interaction effect.

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“…Cavdar and Ozdemir [10] examined the change in response of a seismically isolated structure as a function of ground motion orientation and they showed that using the maximum direction of ground motions does not lead to the maximum response compared to the one obtained by considering different orientations of seismic records. The issue of the seismic motion's orientation from a probabilistic point of view was also investigated by a number of researchers (Lagaros [11]; Giannopoulos and Vamvatsikos [12]; Vargas et al [13]; Skoulidou et al [14]; Skoulidou and Romão [15]), who tried to evaluate the impact of the angle of seismic incidence on the buildings' risk.…”

Section: Introductionmentioning

confidence: 99%

Rapid Prediction of Seismic Incident Angle's Influence on the Damage Level of RC Buildings Using Artificial Neural Networks

Morfidis¹,

Kostinakis²

2021

Preprint

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The angle of seismic excitation is a significant factor of the seismic response of RC buildings. The procedure required for the calculation of the angle for which the potential seismic damage is maximized (critical angle) contains multiple nonlinear time history analyses using in each one of them different angles of incidence. Moreover, the seismic codes recommend the application of more than one accelerograms for the evaluation of seismic response. Thus, the whole procedure becomes time consuming. Herein, a method to reduce the time required for the estimation of the critical angle based on Multilayered Feedforward Perceptron Neural Networks is proposed. The basic idea is the detection of cases in which the critical angle increases the class of seismic damage compared to the class which arises from the application of the seismic motion along the buildings’ structural axes. To this end, the problem is expressed and solved as Pattern Recognition problem. As inputs of networks the ratios of seismic parameters’ values along the two horizontal seismic records' components, as well as appropriately chosen structural parameters, were used. The results of analyses show that the neural networks can reliably detect the cases in which the calculation of the critical angle is essential.

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The significance of considering multiple angles of seismic incidence for estimating engineering demand parameters

Cited by 29 publications

References 33 publications

Influence of directionality of spectral‐compatible Bi‐directional ground motions on critical seismic performance assessment of base‐isolation structures

Influence of directionality of spectral‐compatible Bi‐directional ground motions on critical seismic performance assessment of base‐isolation structures

Probabilistic loss assessment of curved bridges considering the effect of ground motion directionality

Rapid Prediction of Seismic Incident Angle's Influence on the Damage Level of RC Buildings Using Artificial Neural Networks

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