Seismic liquefaction performance of strip foundations: Effect of ground improvement dimensions

Dimitriadi, Vasiliki; Bouckovalas, George D.; Chaloulos, Yannis K.; Aggelis, Argyris S.

doi:10.1016/j.soildyn.2017.08.021

Cited by 21 publications

(5 citation statements)

References 11 publications

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“…The present investigation has conducted a thorough literature analysis to identify the variables influencing the liquefaction-induced settlement of buildings [3][4][5][10][11][12][39][40][41][42][43]. In accordance with this review, it is observed that the following factors significantly affect the liquefaction-induced settlement (Sl): the foundation width (W), the distance from the building's centre of mass (H), the pressure applied to the foundation (Q), the thickness of the liquefiable layer (HL), the thickness of the non-liquefiable dense crust of thickness (Hcrust), the relative density of the liquefiable soil (Dr), and the earthquake characteristics (i.e., peak ground acceleration (PGA) and dominant frequency of the earthquake shake (Fd).…”

Section: Data Collection and Pearson's Correlation Analysismentioning

confidence: 99%

“…On the other hand, models created from the literature are based on numerical modelling results [4,9]. Furthermore, these models were created using either classical regression methodology [4,[10][11][12] or multivariate adaptive regression splines (MARS) analysis [13][14][15]. Moreover, because of overfitting issues, classical regression analysis is inaccurate [16].…”

Section: Introductionmentioning

confidence: 99%

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Decision Tree Models for Predicting Liquefaction-Induced Settlement of Buildings with Shallow Foundations Subjected to Seismic Excitation

Ahmad,

Danish,

Khan

et al. 2024

Preprint

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Shallow-founded buildings are susceptible to liquefaction-induced settlement (Sl) in the event of an earthquake. Mitigating earthquake damage requires accurate settlement evaluation. Nnonetheless, the process of predicting the Sl is not simple and necessitates advanced soil models and calibrated soil characteristics, which are not easily accessible for specialists and designers. Furthermore, multivariate adaptive regression splines or conventional regression analysis were used to build the available empirical models to estimate the Sl, and these methods result in complex models. Moreover, these empirical models were created by applying the outcomes of numerical modelling. In order to overcome these constraints, this research presents the development of two novel decision tree models: the reduced error pruning (REP) tree, the random forest (RF), and the random tree (RT). The Sl may be immediately and accurately estimated with the new models, which have been developed using authentic laboratory observations from centrifuge results. The data utilized in this research includes seven characteristics: the width of the foundation, the height of the building, the pressure exerted on the foundation, the thickness and relative density of the liquefiable layer, and the intensity of the earthquake. Two subsets of the available data are used: the training set (20%) and the test set (80%). Statistical measures such as root mean squared error, mean absolute error, and coefficient of correlation are utilized to assess the decision tree models' output. Applications of the previously outlined method for predicting the Sl are compared and discussed. The evaluation of the Sl dataset's statistical metrics indicates that the RT produced significantly more dependable and reliable outcomes.

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Section: Data Collection and Pearson's Correlation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Decision Tree Models for Predicting Liquefaction-Induced Settlement of Buildings with Shallow Foundations Subjected to Seismic Excitation

Ahmad,

Danish,

Khan

et al. 2024

Preprint

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“…Evidence from past earthquakes has demonstrated the devastating effect of soil liquefaction on the seismic response of buildings. Thus, the response of buildings resting on liquefiable ground and subjected to earthquake effects has received considerable attention in the literature in order to produce better insights into the potential seismic response of buildings and hence to enhance design procedures [1][2][3][4][5][6][7][8][9][10][11]. A summary of information from previous studies is listed in Table 1.…”

Section: Introductionmentioning

confidence: 99%

“…The study focused on the influence of the permeability of the non-liquefiable layer. Dimitriadi et al [7] assessed the effect of an artificially placed ground layer (ground improvement) on the seismic response of a foundation resting on liquefiable ground, using 2D FDM. They paid significant attention to the role of thickness and the width of the placed layer on the seismic response of the foundation.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulations of the Seismic Response of a RC Structure Resting on Liquefiable Soil

Alzabeebee

Forcellini

2021

Buildings

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The seismic response of buildings resting on liquefiable soil is a complex problem that is still poorly understood despite numerous studies on the topic. This paper attempts to enhance the understanding of this phenomenon by simulating an RC structure resting on liquefiable soil and subjected to seismic shakes. The solid-fluid fully coupled analysis was conducted with OpenSeesPL utilizing 58 earthquake records to simulate a wide range of shaking scenarios. In addition, the effect of the soil density and the thickness of the liquefiable layer were examined. It was noted that the liquefaction-induced settlement of the building increased as peak ground acceleration (PGA) increased, where the percentage increase ranged between 2.5% and 888.0% depending on the soil density, thickness of the liquefiable layer, PGA and the predominant frequency of the seismic shake. However, a scatter of the relationship between the PGA and the liquefaction-induced settlement was also noted due to the effect of the predominant frequency of the seismic shake. In addition, a reduced effect from soil density on the liquefaction-induced settlement was observed, where the settlement changed by up to 55% as the soil density changed from loose to medium, and by 68% as the density changed from loose to dense. Additionally, the results of the lateral displacement of the building did not show a definite trend with the increase in PGA, which could be attributed to the complex interaction between PGA amplification and the predominant frequency of the seismic shake as the liquefiable soil layer thickness changed.

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“…Both examined the case of a natural clay crust and used numerical analyses to correlate seismic settlements to the degraded factor of safety, at the end of seismic shaking while the subsoil is still liquefied, the first with the aid of design charts and the second by means of analytical relationships. Dimitriadi et al [15,16] extended the work of Karamitros et al [27] for the case of an artificial crust created by vibro-compaction of the native liquefiable soil, giving special emphasis on the required thickness and lateral extend of ground improvement.…”

Section: Introductionmentioning

confidence: 99%

Seismic isolation of surface foundations exploiting the properties of natural liquefiable soil

Karatzia

Mylonakis

Bouckovalas³

2019

Soil Dynamics and Earthquake Engineering

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Seismic liquefaction performance of strip foundations: Effect of ground improvement dimensions

Cited by 21 publications

References 11 publications

Decision Tree Models for Predicting Liquefaction-Induced Settlement of Buildings with Shallow Foundations Subjected to Seismic Excitation

Decision Tree Models for Predicting Liquefaction-Induced Settlement of Buildings with Shallow Foundations Subjected to Seismic Excitation

Numerical Simulations of the Seismic Response of a RC Structure Resting on Liquefiable Soil

Seismic isolation of surface foundations exploiting the properties of natural liquefiable soil

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