Using maximum direction of a ground motion in a code-compliant analysis of seismically isolated structures

Çavdar, Esengül; Ozdemir, Gokhan

doi:10.1016/j.istruc.2020.10.030

Cited by 6 publications

(6 citation statements)

References 31 publications

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“…The lack of specific code provisions with regard to the axes of the strong motion input leads to the application of the horizontal earthquake components along the structural axes of the buildings. This common engineering practice can result in significant underestimation of seismic demands (Athanatopoulou [2]; Rigato and Medina [3]; Kostinakis et al [4][5][6][7]; Fontara et al [8]; Pavel and Nica [9]; Cavdar and Ozdemir [10]; Skoulidou et al [14]; Lucchini et al [43]; Nguyen and Kim [44]; Roy et al [45]).…”

Section: The Influence Of Incident Angle On the Seismic Response Of Rc Buildingsmentioning

confidence: 99%

“…They revealed that the structural response is dependent on the orientation of the strong ground motion horizontal components. 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%

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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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Section: The Influence Of Incident Angle On the Seismic Response Of Rc Buildingsmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…Pavel and Nica [9] investigated the seismic behavior of doubly symmetric RC wall structures subjected to a series of bidirectional ground motion recordings; they found that the structural response is dependent on the orientation of the strong ground motion horizontal components. Cavdar and Ozdemir [10] examined the change in response of a seismically isolated structure as a function of ground motion orientation, and showed that using the maximum direction of ground motion does not lead to the maximum response compared to that obtained by considering different orientations of seismic records. The issue of the seismic motion's orientation from a probabilistic point of view has also been investigated by a number of researchers (see, e.g., 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

Morfidis

Kostinakis

2022

Applied Sciences

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The angle of seismic excitation is a significant factor in 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, each using different angles of incidence. Moreover, the seismic codes recommend the application of more than one accelerogram 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 that arises from the application of the seismic motion along the buildings’ structural axes. To this end, the problem is expressed and solved as a pattern recognition problem. The ratios of seismic parameters’ values along the two horizontal seismic records’ components, as well as appropriately chosen structural parameters, were used as the inputs of the networks. 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 influence of the ASI on the probabilistic seismic assessment results has also been studied by Lagaros (Lagaros, 2010) and Skoulidou and Romao (Skoulidou and Romao, 2020;Skoulidou and Romao, 2021). Even though their numbers are limited, there are some studies concerning the influence of the ASI on the nonlinear responses of base-isolated buildings (e.g., Laguardia et al, 2019;Cavdar and Ozdemir, 2020;Ozdemir, 2022, Lin et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Influence of the Angle of Seismic Incidence of Long-Period Pulse-like Ground Motion on an Irregular Base-Isolated Building

Fujii¹

2022

Preprint

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In general, isolators and dampers used in seismically isolated buildings are designed to be isotropic in any horizontal direction. However, in the case of buildings with plan irregularities, their nonlinear responses depend on the direction of seismic loading. To discuss the influence of the angle of seismic incidence (ASI) on the nonlinear response of irregular building structures, it is important to define the angle of the critical axis of the horizontal ground motion. One possible choice is the “principal axis of ground motion” proposed by Arias (1970). However, because this principal axis is independent of the natural period of a structure, it could be complicated to use for seismically isolated structures with long natural periods. In this study, the influence of the ASI of long-period pulse-like seismic input on an irregular base-isolated building is investigated. First, the angle of the principal axis of ground motion is defined in terms of the cumulative energy input. Then, a nonlinear time-history analysis of a five-story irregular base-isolated building is performed using 10 long-period pulse-like ground motion records considering various ASIs. The results show that, compared with the principal axis of ground motion proposed by Arias, defining the principal axis of ground motion in terms of the cumulative energy input is more suitable for discussions concerning the influence of the ASI on the response of an irregular base-isolated building.

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Using maximum direction of a ground motion in a code-compliant analysis of seismically isolated structures

Cited by 6 publications

References 31 publications

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

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

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

Influence of the Angle of Seismic Incidence of Long-Period Pulse-like Ground Motion on an Irregular Base-Isolated Building

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