Uniform risk spectra for rocking structures

Manzo, Natalia Reggiani; Lachanas, Christos G.; Vassiliou, Michalis F.; Vamvatsikos, Dimitrios

doi:10.1002/eqe.3691

Cited by 10 publications

(7 citation statements)

References 72 publications

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“…PGV was used as an intensity measure, as it performs better than PGA or PGD for rocking structures. [104][105][106][107][108][109][110][111] Figures 10,11,and 12 show the median rocking spectra for the far-field, near-field pulse-like, and near-field no pulse-like record bins, derived for different processing schemes. As stated earlier, all the rocking spectra in this paper are derived for size (2H) of 2000 m, which represent the case when 2H→∞ that is being studied for mathematical completeness.…”

Section: Rocking Spectra Resultsmentioning

confidence: 99%

Effect of ground motion processing and filtering on the response of rocking structures

Elmorsy

Vassiliou

2023

Earthq Engng Struct Dyn

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With growing interest in rocking structures, it is important to quantify the effects of ground motion processing schemes on rocking response. To this end, this paper studied the influence of different ground motion correction schemes and parameter values on the rocking displacement spectrum. When the problem is treated on an individual ground motion basis, then it seems that ground motion correction does have an influence on the rocking response, especially for more slender blocks. This influence is larger for causal filtering. However, no specific trend related to the cut off period of the filter can be observed (at least for cut off periods longer than or equal to 10 s) or on the type of the recording device (analog or digital). On the other hand, when treating the problem statistically (by comparing the statistics of the response due to sets of ground motion, not a single ground motion), the effect is significantly reduced: The processing schemes do not induce any significant bias to the rocking response and the motion‐to‐motion variability seems more important than the ground motion correction method. This conclusion applies to both analog and digital records, both causal and acausal filters, and to all near field pulse like, near field no pulse like, and far field records.

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Section: Rocking Spectra Resultsmentioning

confidence: 99%

Effect of ground motion processing and filtering on the response of rocking structures

Elmorsy

Vassiliou

2023

Earthq Engng Struct Dyn

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“…For an ensemble of ground motions to be useful, in this paper all ground motions were scaled to the same PGV. PGV was used as an intensity measure, as it performs better than PGA or PGD for rocking structures [43,44].…”

Section: Resultsmentioning

confidence: 99%

Ground Motion Processing in Rocking Structures

Elmorsy,

Vassiliou

2023

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Recorded ground motions require filtering and baseline correction to remove noise that results in unrealistic velocity and displacement time histories. The effect of ground motion processing is well studied for elastic and inelastic oscillators; however, it has not been studied for the rocking oscillator. The behavior of the rocking oscillator is used to describe a wide range of systems; such as masonry structures, unanchored equipment, and ancient Greco Roman and Chinese temples. This paper investigates the effect of ground motion processing on the response of the rocking oscillator. Different types of digital ground motions (pulse like and non pulse like) and different processing schemes and scheme parameter values are presented to illustrate this effect on the displacement spectra for planar rocking blocks. Based on the results of this paper, on a single ground motion basis, ground motion processing has an effect on the rocking spectra which is basically similar to the elastic oscillator. However, when treating the problem in a statistical way (by comparing the statistics of the response to sets of ground motions, not to a single ground motion -as seismic design typically requires), the effect is significantly reduced. In fact, as long as the system is not close to overturning (failure), the rocking spectra only loosely depend on the processing scheme.

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“…However, the aim of this work is not to describe the response of the rocking oscillator in function of the six parameters of the Rezaeian and Der Kiureghian model, but in function of well‐known IMs. Numerous ground motion IMs (and combinations of IMs) [ 66–78 ] have been suggested for the rocking block. The present study concentrates on few, well‐established IMs, which are relatively easy to compute.…”

Section: Description Of the Analysismentioning

confidence: 99%

“…Studying free and restrained rocking systems of negative systems under sets of far‐field, near‐field pulse‐like and near‐field non‐pulse‐like ground motions, Manzo et al. [ 75–77 ] concluded that PGV performs overall better than PGA. Vassiliou and Sieber [ 78 ] studied 3D rocking and concluded that the displacement response scales with a bivariate intensity measure that includes both PGA and PGV.…”

Section: Introductionmentioning

confidence: 99%

Intensity measures, fragility analysis and dimensionality reduction of rocking under far‐field ground motions

Sieber

Vassiliou

Anastasopoulos

2022

Earthq Engng Struct Dyn

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Problems for which it is impossible to make a precise causal prediction are commonly tackled with statistical analysis. Although fairly simple, the problem of a rocking block on a rigid base subjected to seismic excitation exhibits a fascinating, complex response, making it extremely difficult to validate numerical models against experimental results, thus calling for a statistical approach. In this context, this paper statistically studies the rocking behaviour of rigid blocks, excited by synthetic far‐field ground motions. A total of 50 million analyses are performed, considering rocking blocks of height ranging from 1 to 20 m and slenderness angle ranging from 0.1 to 0.35 rad. The results are used to explore the performance of different ground motion intensity measures (IMs), in terms of their ability to predict the maximum rocking rotation. By comparing the efficiency, sufficiency and proficiency of the IMs, it is found that the peak ground velocity (PGV) performs optimally. Then, fragility curves are constructed using different IMs, concluding again that the PGV is the most efficient IM. Impressively, the fragility curves for different block sizes collapse to a single curve, if a non‐dimensional IM that involves PGV and the block geometry is used. Finally, the results produced on the basis of far‐field synthetic motions are compared to results based on recorded ground motions.

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Uniform risk spectra for rocking structures

Cited by 10 publications

References 72 publications

Effect of ground motion processing and filtering on the response of rocking structures

Effect of ground motion processing and filtering on the response of rocking structures

Ground Motion Processing in Rocking Structures

Intensity measures, fragility analysis and dimensionality reduction of rocking under far‐field ground motions

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