skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Settlement Prediction of a RAP-Supported Footing in Liquefiable Soils Subjected to a Seismic Loading
Over the past 50 years, seismically induced soil liquefaction has resulted in billions of dollars of damage to structures. Recent examples include extensive damage to infrastructure in Haiti (2010), Christchurch, New Zealand (2010–2011), and Ecuador (2016), among many others. New structures may be constructed on soil enhanced by ground improvement such as compaction grouting, stone columns, or Rammed aggregate pier (RAP) systems that rely on soil densification and reinforcement to provide stability. In New Zealand, RAP systems have been subjected to extensive testing to demonstrate their veracity in providing a reinforced crust of soil below shallow foundations. The results of the testing have been used to formulate design guidance for a variety of structural classifications and to provide validation of numerical models used to simulate the seismic response of these foundations. This paper extends the knowledgebase about RAP-supported foundation behavior by presenting the results of fully coupled hydro-mechanical numerical models developed to estimate the support mechanisms important for stability and settlements. The results of the research indicate that RAP can significantly reduce the seismically induced settlement.  more » « less
Award ID(s):
1825189 1937984
PAR ID:
10314576
Author(s) / Creator(s):
Date Published:
Journal Name:
Proc. International Foundations Congress and Equipment Exposition (IFCEE 2021)
Volume:
GSP 324
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Abstract In light of the significant damage observed after earthquakes in Japan and New Zealand, enhanced performing seismic force‐resisting systems and energy dissipation devices are increasingly being utilized in buildings. Numerical models are needed to estimate the seismic response of these systems for seismic design or assessment. While there have been studies on modeling uncertainty, selecting the model features most important to response can remain ambiguous, especially if the structure employs less well‐established lateral force‐resisting systems and components. Herein, a global sensitivity analysis was used to address modeling uncertainty in specimens with elastic spines and force‐limiting connections (FLCs) physically tested at full‐scale at the E‐Defense shake table in Japan. Modeling uncertainty was addressed for both model class and model parameter uncertainty by varying primary models to develop several secondary models according to pre‐established uncertainty groups. Numerical estimates of peak story drift ratio and floor acceleration were compared to the results from the experimental testing program using confidence intervals and root‐mean‐square error. Metrics such as the coefficient of variation, variance, linear Pearson correlation coefficient, and Sobol index were used to gain intuition about each model feature's contribution to the dispersion in estimates of the engineering demands. Peak floor acceleration was found to be more sensitive to modeling uncertainty compared to story drift ratio. Assumptions for the spine‐to‐frame connection significantly impacted estimates of peak floor accelerations, which could influence future design methods for spines and FLC in enhanced lateral‐force resisting systems. 
    more » « less
  2. The 2010–2011 Canterbury earthquake sequence included a number of events that triggered recurrent soil liquefaction at many locations in Christchurch, New Zealand. However, the most severe liquefaction was induced by the Mw7.1 September 4, 2010, Darfield and Mw6.2 February 22, 2011, Christchurch earthquakes. The combination of well-documented liquefaction surface manifestations during multiple events, densely recorded ground motions during these events, and detailed subsurface characterization information at the selected sites provides an unprecedented opportunity to add quality case histories to the empirical soil liquefaction database. The authors have already documented and published 50 high-quality liquefaction case histories from these earthquakes using cone penetration test (CPT) data. This paper examines 46 of these case histories using shear-wave velocity (Vs) profiles derived from surface wave (SW) methods and a Christchurch-specific Vs correlation based on CPT tip resistance. The Vs profiles have been used to evaluate the two most commonly used Vs-based simplified liquefaction evaluation procedures (i.e., Andrus and Stokoe and Kayen et al.). An error index (EI ) has been used to quantify the overall performance of these two procedures in relation to liquefaction observations. Although the two procedures are essentially equivalent for sites with normalized Vs (i.e., Vs1) <180 m=s, the Kayen et al. procedure, with 15% probability of liquefaction, provides better predictions of liquefaction triggering for sites with Vs1 greater than 180 m=s. Additionally, total EI values obtained using Vs profiles from surface wave testing in conjunction with the Kayen et al. procedure are lower than two other CPT-based triggering procedures but higher than the total EI value obtained using the Idriss and Boulanger CPT-based procedure. 
    more » « less
  3. This study investigates seismically-induced failure mechanisms in massive rock slopes using the bonded particle model. The data from this study can be used to track seismically-induced stresses in steep slope geometries leading up to failure initiation. The data can also be used to study the propagation of damage initiated by these failure mechanisms and track the development of mass movement enabled by the seismically-induced damage. The bonded particle model data includes the motion time-histories of an array of monitoring particles in the slope, the stress tensors of representative volume elements throughout loading, and the full model geometry, which can be used to reproduce the discrete element model. 
    more » « less
  4. The objective of this study is to develop data-driven predictive models for peak rotation and factor of safety for tipping-over failure of rocking shallow foundations during earthquake loading using multiple nonlinear machine learning (ML) algorithms and a supervised learning technique. Centrifuge and shaking table experimental results on rocking foundations have been used for the development of k-nearest neighbors regression (KNN), support vector regression (SVR), and random forest regression (RFR) models. The input features to ML models include critical contact area ratio of foundation; slenderness ratio and rocking coefficient of rocking system; peak ground acceleration and Arias intensity of earthquake motion; and a categorical binary feature that separates sandy soil foundations from clayey soil foundations. Based on repeated k-fold cross validation tests of models, we found that the overall average mean absolute percentage errors (MAPE) in predictions of all three nonlinear ML models varied between 0.46 and 0.60, outperforming a baseline multivariate linear regression ML model with corresponding MAPE of 0.68 to 0.75. The input feature importance analysis reveals that the peak rotation and tipping-over stability of rocking foundations are more sensitive to ground motion demand parameters than to rocking foundation capacity parameters or type of soil. 
    more » « less
  5. This article presents a study of seismically-induced failure of massive steep rock slopes. A dynamic implementation of the bonded particle model (BPM) for rock is used to simulate the dynamic response and initiation of fracture in the slopes. Observation of forces that develop within the model in response to wave transmission and dynamic excitation provides insight into the fundamental mechanisms at work in seismically induced rock slope failure. Five distinct mechanisms of failure initiation are identified using non-destructive simulations and confirmed with destructive simulations. Three distinct modes of rock mass movement enabled by the failure mechanisms are identified. The predominant co-seismic failure mode was a shallow, highly-disrupted cliff collapse. Cliff collapse is initiated by relatively low levels of shaking. Shallow failures are also triggered at higher levels of shaking prior to the initiation of deeper, more coherent failures in the same seismic event. The results of the numerical study agree with qualitative historical surveys of seismically-induced rock slope failure trends and provide insight into the mechanisms behind observed co-seismic rock slope behavior. The frequently observed shallow failures are triggered by high compression stresses near the cliff toe combined with shallow subhorizontal ruptures behind the cliff face. These mechanisms are not well-captured by simplified analysis methods which may lead to underprediction of shallow co-seismic events. Deeper failure surfaces from stronger shaking create a base-isolation effect, slowing further disruption in the failure mass. Slope dynamic response and damage accumulation were shown to be interdependent and complex, emphasizing the importance of further research into the interaction between rock mass strength, slope geometry, structure, and ground motion characteristics. 
    more » « less