Abstract

Few empirical and semi-empirical approaches have considered the influence of the geology, tectonic source, causative fault type, and frequency content of earthquake motion on lateral displacement caused by liquefaction (DH). This paper aims to address this gap in the literature by adding an earthquake parameter of the standardized cumulative absolute velocity (CAV5) to the original dataset for analyzing. Furthermore, the complex influence of fine content in the liquefiable layer (F15) is analyzed by deriving two different equations: the first one is for the whole range of parameters, and the second one is for a limited range of F15 values under 28% in order to the F15’s critical value presented in literature. The new response surface method (RSM) approach is applied on the basis of the artificial neural network (ANN) model to develop two new equations. Moreover, to illustrate the capability and efficiency of the developed models, the results of the RSM models are examined by comparing them with an additional three available models using data from the Chi-Chi earthquake sites that were not used for developing the models in this study. In conclusion, the RSM provides a capable tool to evaluate the liquefaction phenomenon, and the results fully justify the complex effect of different values of F15.

Highlights

  • When, during earthquake motion, pore water pressure rises because of applied dynamic loads, the loose saturated sand layer that is relatively close to the ground surface is liquefied

  • The previous sections haveTchoemprpeavrioeudstsheectfiiornsst RhaSvMe cmomopdaerle, dwthhiechfirbsteRloSnMgsmtoodtehl,ewfuhilclhrabnelgoengosf to the full range of parameters, and the secondpRaSraMmemteords,ealn, dwthhiechsewcoansddReSrMivemdofdoerl,swamhicphlewsaws hdoersieveFd15fovraslaumesplwesewrehloessesF15 values were less than 28%, with three extra wthealln-k2n8o%w, wnimthothdreeles.exTthraewmeolld-kenlsowwnermeoedxealsm

  • As mcaondeOblenofstheYeeonoutdhineertThaaalb.nlpder,o9av,sibdcayendcbtohenessehiedingehirneinsTtgaRbslvaeam9lu,pbelyeosfco0wn.9si3tidh4,eFrcil1no5gselselaysmsfoptlhlleoaswnwe2dit8hb%yF,1t5hleesssetchoannd2a8n%d, the the the model of Youd et al profivrsitdeRdSMthme hodigehlsewstitRh vRavluaeluoesf 0eq.9u3a4l,tcolo0s.8e9l1y afonldlo0w.8e46d rbeysptehcetivseelcyo.nTdabalne d9 illustrates the the first response surface method (RSM) models with RMvAaEluaensdeRqSuMalEtcori0te.8ri9a1vaanludes0.f8o4r 6alrlemspodecetlsivfoerlys.aTmapbllees 9waitlhsoa illilmuistterdatveaslutehefor fines content in the T15 layer (F15) less than 28%

Read more

Summary

Introduction

When, during earthquake motion, pore water pressure rises because of applied dynamic loads, the loose saturated sand layer that is relatively close to the ground surface is liquefied. Lateral displacement can be significantly damaging for piles, piers, and pipe lines during and for a short time after earthquakes and causes more damage to structures and infrastructures than any other type of liquefaction-induced ground failure. In this phenomenon, the large blocks of soil move towards the free face or along the slope. Researchers have developed several different models and approaches to predict the DH caused by liquefaction for some decades. Analytical approaches have been developed, for example, minimum potential energy [7] and the sliding block model [8,9,10,11,12]

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call