Effects of moment magnitude, site conditions and closest distance on damping modification factors

An-min, Hao; Zhou, Deyuan; Li, Yaming; Zhang, Hui

doi:10.1016/j.soildyn.2011.05.002

Cited by 19 publications

(5 citation statements)

References 19 publications

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“…The effects of moment magnitude, site conditions, and closest distance on DMFs were studied by Hao et al (2011). They observed that the influence of site class reduces with increasing earthquake magnitude, and the effect of distance can be neglected when the closest distance closer than 100 km except for rock sites.…”

Section: Dmfsmentioning

confidence: 99%

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Damping modification factors for the design of seismic isolation systems in Peru

Fernández-Dávila

Mendo

2020

Earthquake Spectra

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This study proposed a simple nonlinear equation to estimate damping modification factors (DMFs) to modify the elastic response spectral values for damping ratios between 10% and 50%. The DMFs are computed from the displacement, acceleration, and velocity response spectral of single-degree-of-freedom (SDOF) systems of 198 earthquake acceleration time histories from 40 earthquakes events of Peruvian database, grouped into three types of soil: hard soil, intermediate soil, and soft soil. For each soil group, 11 scaled records were selected according to the ASCE 7-16 standard to match the design spectrum of the Peruvian technical standard for seismically isolated structures E.031. Simplified approximate nonlinear period-dependent expressions were provided to compute DMFs from the Peruvian strong-motion database and were compared with DMFs available in the literature and national seismic design codes. The study showed discrepancies with the regulations worldwide.

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Section: Dmfsmentioning

confidence: 99%

“…They observed that the influence of site class reduces with increasing earthquake magnitude, and the effect of distance can be neglected when the closest distance closer than 100 km except for rock sites. For soft soil sites, the median values of DMFs only vary a little with moment magnitude and closest distance (Hao et al, 2011).…”

Section: Dmfsmentioning

confidence: 99%

Damping modification factors for the design of seismic isolation systems in Peru

Fernández-Dávila

Mendo

2020

Earthquake Spectra

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“…A considerable number of studies on the derivation of damping modification factors have been published; only the researches that have most influenced this work are reported herein [Lin, Chang 2003, 2004Atkinson, Pierre 2004;Lin et al 2005;Bommer, Mendis 2005;Cameron, Green 2007;Stafford et al 2008;Casarotti et al 2009;Cardone et al 2009;Hatzigeorgiou 2010;Hao et al 2011;Sheikh et al 2013;Rezeian et al 2014;Bradley 2015;Mollaioli et al 2014;Mavroeidis 2015;Benahmed et al 2016;Pu et al 2016;Palermo et al 2016]. These works examine the influence of a number of issues: fundamental period of the construction, input duration, distance from the site to the hypocenter, magnitude of the earthquake, soil type, forward-directivity effect (near-fault), among others.…”

Section: State-of-the-art Of Research On Damping Modification Factorsmentioning

confidence: 99%

Generating damping modification factors after artificial inputs in scenarios of local records scarcity

Almansa

2018

Bull Earthquake Eng

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150 to 250 words)The damping modification factors are utilized to alter the design spectral ordinates for constructions whose damping differs significantly from 5%, this being the level that is routinely considered by most codes. Such factors are habitually evaluated after suites of historical inputs representing the local seismicity. However, such records may not be readily available, due either to moderate seismicity or to limited seismological network; in such cases, representative artificial accelerograms might be used instead. This paper proposes a methodology for establishing damping modification factors after artificial inputs generated to match the 5% design spectra; this approach can be used for countries, regions or cities. The proposed methodology is based on performing dynamic analyses on underdamped and overdamped SDOF linear systems by using the aforementioned selected accelerograms. Although previous studies have highlighted the differences among factors generated after natural and artificial inputs, it has been observed that such discrepancies are mainly due to the longest significant (Trifunac) duration of the artificial accelerograms. Therefore, the artificial inputs are generated as their duration fits those of the available local strong motion records. An application to Colombia is presented; the results are compared with those for some available Colombian records. The sensitivity of the calculated factors to the soil type, period and seismic zone is investigated; matching expressions are provided. Such expressions are compared with the prescriptions of major design codes and with other studies. The suitability of the proposed formulation is further verified in an example on an isolated hospital building.

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“…For instance, DCF "Damping Correction Factor" is used in [1][2][3][4], "Damping reduction factor" is used by [5][6][7][8][9], and several other researchers. "Damping modification factor" is used in [10][11][12][13]. Other terminologies that have seen in the literature include: damping adjustment factor, response spectrum amplification factor, and the damping scaling factor.…”

Section: Introductionmentioning

confidence: 99%

Use of the Artificial Neural Networks to Estimate the DRF for Eurocode 8

Benahmed¹,

Hamoutenne²

2018

Period. Polytech. Civil Eng.

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The damping reduction factor (DRF) IntroductionIn the most seismic codes throughout the world, the response spectrum is given for a damping ratio ξ = 5%. Civil structures, however, may have different values of damping. As a result, the 5% response spectrum should be adjusted to other damping levels through a correction factor to evaluate the spectral response for any damping l.Different symbols are cited in the literature to identify this correction factor. For instance, DCF "Damping Correction Factor" is used in [1-4], "Damping reduction factor" is used by [5][6][7][8][9], and several other researchers. "Damping modification factor" is used in [10][11][12][13]. Other terminologies that have seen in the literature include: damping adjustment factor, response spectrum amplification factor, and the damping scaling factor. In this study, we adopt the term Damping Reduction Factor (DRF).This factor has been studied by a number of researchers. Moreover, many expressions were given to this factor as a function of many parameters, damping only [3,4,[14][15][16], Damping and period [6,[17][18][19][20][21], or other parameters Duration, Soil conditions, Distance, Magnitude).One of the first systematic methods, for adjusting 5%-damped spectra to other levels of damping, was the pioneer work of Newmark and Hall [22] where their results inspired many seismic codes and Norms. It was based on only 28 records from 9 earthquakes prior to 1973. This work is the basis for most U.S. building codes. They divided their results of damping reduction factors into three parts: the acceleration-, velocity-, and displacement-sensitive regions, respectively. The model of Newmark and Hall is only applicable for ξ < 20% and for T in the range 0.125-10 sec. In Lin and Chang [6], a total of 1053 earthquake acceleration time histories from 102 earthquakes recorded in the United States of America. They concluded that the damping reduction factors are functions of the structural period and the damping ratio. Its applicability is ξ -2-50 % and T 0.01-10 sec.Hatzigeorgiou [12] in his paper proposed a new method to estimate DRF of SDOF systems on the basis of empirical expressions obtained after extensive parametric studies. The influence of viscous damping ratio, period of vibration, soil type conditions and ground motion type (natural near-and

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Effects of moment magnitude, site conditions and closest distance on damping modification factors

Cited by 19 publications

References 19 publications

Damping modification factors for the design of seismic isolation systems in Peru

Damping modification factors for the design of seismic isolation systems in Peru

Generating damping modification factors after artificial inputs in scenarios of local records scarcity

Use of the Artificial Neural Networks to Estimate the DRF for Eurocode 8

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