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Illustration of S – N curve used in metal fatigue evaluations 

Illustration of S – N curve used in metal fatigue evaluations 

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The "equivalent number of cycles" concept is integral to cyclic liquefaction evaluations, whether applied directly in laboratory evaluations or via magnitude scaling factors in field evaluations. The premise of the concept is that the random motions of an earthquake can be represented by an equivalently damaging number of uniform stress cycles (n(e...

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... of cycles N required to cause failure being noted. The test is repeated several times on similar compo- nents, subjecting each component to uniform cyclic stresses hav- ing different peak amplitudes. The S -N curve is a plot of the number of cycles to cause failure as a function of the peak am- plitude of the applied uniform cyclic stress e.g., Fig. 1. Several engineering materials e.g., ferrous alloys and titanium have clearly defined fatigue limits, which is the stress level below which an infinite number of cycles can be sustained without fail- ...
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... and alterna- tive implementations of the P -M hypothesis for a soil profile Table 1. Three plots to right of soil profile are median n eq values for different magnitude and distance bins, normalized by respective n eq at depth of 3.8 m. consisting of loose sand subjected to a ground motion recorded during the M7.3 Landers earthquake is shown in Fig. 10. The site response computer code SUMDES Li et al. 1992 was used to compute the results shown in this figure, wherein the soil was modeled using a reduced-order, bounding surface hypoplasticity model calibrated to the Ishibashi and Zhang's shear modulus deg- radation curves at the corresponding depths. As may be observed from this ...
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... eq was relatively constant with depth. However, Lee and Chan 1972 implemented the P -M hypothesis as outlined above for high cycle fatigue conditions. The results of a parametric study using the alternative imple- mentation of the P -M hypothesis show that the variation of n eq with depth is dependant on site-to-source distance, as illustrated in Fig. 11. Note: In this study, magnitude M was quantified by the moment magnitude scale M w and site-to-source distance R was quantified by the closest distance to the fault. For M 7, the variation of n eq with depth tends to increase as R increases up to R =75 km i.e., the average R for the bin, beyond which n eq is relatively independent of ...
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... by the closest distance to the fault. For M 7, the variation of n eq with depth tends to increase as R increases up to R =75 km i.e., the average R for the bin, beyond which n eq is relatively independent of R. For M 7, the decrease in n eq with depth is very pronounced, but the trend is relatively independent of R. The n eq curves shown in Fig. 11 represent the median n eq values resulting from a series of site response analyses. The ground motions used in the analyses were from 29 different earth- quakes, 163 stations i.e., 326 records, and were selected to be representative of western United States rock motions McGuire et al. 2001. Table 1 lists the earthquake motions used in ...
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... tendency for n eq to decrease with depth may explain, in part, why liquefaction is generally constrained to the upper 12 m 40 ft of a soil profile, as may be observed from Fig. 12. This figure is a histogram of the number of observed occurrences of liquefaction as a function of depth, with the 92 liquefaction cases used to construct the histogram coming from Cetin 2000. Below a depth of about 3.8 m, the trend in the decrease of the number of occurrences of liquefaction as a function of depth mimics closely the ...
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... Below a depth of about 3.8 m, the trend in the decrease of the number of occurrences of liquefaction as a function of depth mimics closely the decrease in the n eq as a function of depth for "far field" i.e., R 75 km earthquake motions. Above a depth of about 3.8 m, the decrease in the number of observed occurrences of liquefac- tion shown in Fig. 12 is likely due to upper strata being nonlique- fiable e.g., above the water table, cohesive material, etc.. Note: other factors may also contribute to the trend shown in the Fig. 12, such as increased "aging" effects with depth and/or deep liq- uefaction does not always manifest at the soil ...
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... of depth for "far field" i.e., R 75 km earthquake motions. Above a depth of about 3.8 m, the decrease in the number of observed occurrences of liquefac- tion shown in Fig. 12 is likely due to upper strata being nonlique- fiable e.g., above the water table, cohesive material, etc.. Note: other factors may also contribute to the trend shown in the Fig. 12, such as increased "aging" effects with depth and/or deep liq- uefaction does not always manifest at the soil ...
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... addition to the depth dependency, the results of the para- metric study showed n eq varies as a function of site-to-source distance, as illustrated in Fig. 13. As may be observed from this figure, for a given magnitude earthquake n eq increases with site- to-source distance R up to R =75 km i.e., the average R for the bin, after which n eq is relatively independent of R. This trend is a result of setting the amplitude of the equivalent cycle ref pro- portional to a fixed percentage of the ...
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... therefore, a fixed fraction of max is representative of the amplitude of the induced peak stresses at other times. In con- trast, in the near field the stress time histories are much more chaotic, and often max is associated with a high frequency spike which is not representative of the entire time history. Also influ- encing the trend shown in Fig. 13 are the competing effects of increased duration of the ground motion with distance e.g., Abra- hamson and Silva 1996 and decreased motion amplitude with distance. The increased duration of motion with distance would result in an increase in n eq , while the decrease in amplitude would result in a decrease in n eq ...
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... finding that n eq is a function of site-to-source distance was also made by Liu et al. 2001, although the exact natures of the trends differ between the two studies, as may be observed from Fig. 13. In contrast to the trends resulting from this study, Liu et al. 2001 show that n eq continually increases with site-to-source distance. However, as with Chan 1972, Liu et al. 2001 implemented the P -M hypothesis for high cycle fatigue condi- tions, which may account for the differences in the resulting trends. Finally, also shown in ...
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... from Fig. 13. In contrast to the trends resulting from this study, Liu et al. 2001 show that n eq continually increases with site-to-source distance. However, as with Chan 1972, Liu et al. 2001 implemented the P -M hypothesis for high cycle fatigue condi- tions, which may account for the differences in the resulting trends. Finally, also shown in Fig. 13 are the n eq relations pro- posed by Seed et al. 1975 which are independent of ...

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Citations

... Such conversion depends on the technique used to choose and count the applied stress cycles and the adopted conversion curve. Thus, the necessary procedures are frequently complex and unreliable [43][44][45]. For this reason, the adopted methodology generally consists of relating earthquake magnitude to the equivalent number of loading cycles [22,[46][47][48] even if these correlations often result in inaccurate estimates of the number of equivalent loading cycles [44]. ...
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... The equivalent number of cycles is evaluated and the number of cycles for the related current load bin is added ( Figure B.1 (a)). There are also other approaches which use, for instance, a normalized CSR curve (Seed, 1975;Green and Terri, 2005;Chang, 1981;Allotey and Naggar, 2008). A detailed overview of the calculation procedures can be found in Glasenapp (2016) and . ...
Thesis
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... For historical reasons, MSFs quantify the influence of the duration of shaking on liquefaction relative to the duration of a moment magnitude 7.5 (M7.5) event, where the durations of events having moment magnitudes M and 7.5 are expressed in terms of their corresponding numbers of equivalent stress cycles, N eq and N eq M7.5 , respectively. As noted previously, procedures for computing N eq may also rely on b-values (e.g., Liu et al. 2001;Green and Terri 2005;Hancock and Bommer 2005;Stafford and Bommer 2009;Lasley et al. 2017). For example, if a CSR-N L curve plots as a straight line in log-log space, then the Seed et al. (1975) procedure for computing N eq can be expressed as ...
... Energy is primarily dissipated in sands due to friction developed from relative movement between sand grains as the soil skeleton breaks down under cyclic loading. In addition, dissipated energy underlies the commonly used approaches to compute N eq for earthquake motions, whether explicitly (e.g., Green and Terri 2005;Lasley et al. 2017) or implicitly (e.g., Seed et al. 1975;Boulanger and Idriss 2015). These fundamental relationships make a strong case for using an energy-based criterion to identify liquefaction initiation in laboratory tests and thereby define b-values. ...
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... The fourth method includes strain energy-based methods developed by applying seismic energy dissipated in the soil [21][22][23][24][25][26][27][28][29][30]. This method has been applied in three main procedures by researchers which are using histories of site exploration liquefied [29][30][31], and laboratory test results [23,27,[29][30][31][32][33][34][35][36][37][38][39][40] and Arias intensity-based models [32,41]. To evaluate the potential of liquefaction in energy concept method, the capacity strain energy (W ) value of the soil is required to be estimated to compare with the energy transferred to the soil by the earthquake loads. ...
... Based on laboratory test results six input parameters including effective confining pressure (σ ' c ) kPa, initial relative density (D r )%, FC%, coefficient of uniformity (C u ), mean grain size (D 50 ) (mm) and coefficient of curvature (C c ), have been identified and confirmed as the most influential factors in modeling liquefaction to estimate liquefaction resistance of sandy soil based on capacity strain energy concept [23,27,[29][30][31][32][33][34][35][36][37][38][39][40]. Clearly, permeability of the soil is considered implicitly in soil properties parameters of D r , C u , D 50 and C c . ...
... In this study, two different databases were arranged to train two ANN models to investigate the complex influence of FC on liquefaction resistance. According to previous research [23,27,[29][30][31][32][33][34][36][37][38][39]41], six parameters of σ c (kPa), D r (%), FC(%), C u , D 50 (mm), and C c were assigned as the inputs to create ANN models to calculate Log (W ) as a target. The first dataset includes 284 experiments created by Baziar et al. [45], including 217 cyclic triaxial laboratory test results [87], six laboratory cyclic simple shear experiments [87] and 61 cyclic torsional laboratory tests [39,86] in addition to 22 samples added from Verification of Liquefaction Analyses by Centrifuge Studies (VELACS) [44,79,88], 48 cyclic trixial laboratory test results [89], 20 laboratory test results from Dief [81] and 27 cyclic torsional laboratory test results [44]. ...
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