Browsing by Author "Liu, Chenying"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item New developments for the performance-based assessment of seismically-induced slope displacements(2020-11) Macedo, Jorge; Candia, Gabriel; Lacour, Maxime; Liu, ChenyingThis study presents new developments for the performance-based assessment of seismically-induced slope displacements (D). Performance-based procedures enable a hazard-consistent and rational seismic design of slope systems; hence, their use in practice is appealing. However, they are not the standard in engineering practice because their use is considered too complex to be used for non-critical projects. The developments presented in this study allow the straightforward estimation of displacement hazard curves (DHC) for a wide range of slope systems subjected to earthquakes in different tectonic settings (i.e., shallow crustal, and subduction), considering a rigorous quantification of the existing uncertainties. The new developments include 1) full integration of probabilistic seismic hazard assessments (PSHA), and the estimation of DHCs, 2) automatic estimation of DHC for D models with multiple intensity measures through vector PSHA, 3) estimation of DHC for systems with contributions from multiple tectonic settings, 4) uncertainty treatment (i.e., epistemic and aleatory) on DHCs, through a logic tree scheme, 5) deaggregation of earthquake scenarios from DHCs, and 6) uncertainty quantification on DHCs through the polynomial chaos theory. The new developments are implemented in a MATLAB graphical user interface (GUI) to facilitate its use by engineers and researchers. We discuss illustrative examples and guidelines for the application of the GUI to evaluate the seismic performance of different slope systems that are affected by earthquakes from multiple tectonic settings.Item Performance-based probabilistic assessment of liquefaction-induced building settlements(2021) Liu, Chenying; Macedo, Jorge; Candia, GabrielThe current state of practice in the estimation of liquefaction-induced building settlements (LIBS) relies on pseudoprobabilistic approaches in which the estimation of ground motion intensity measures (IMs) is separated from the estimation of LIBS. In contrast, in a performance-based probabilistic approach, the estimation of the IM hazard is coupled with the estimation of the LIBS hazard. Thus, engineers can obtain LIBS estimates that are directly related to a selected design hazard level (or return period), which is more consistent with performance-based design. In this study, we present new developments for the performance-based probabilistic evaluation of LIBS, including 1) the performance-based assessment of LIBS considering the hazard from a single IM in the context of scalar probabilistic seismic hazard assessment (PSHA), 2) the performance-based assessment of LIBS considering the hazard from multiple IMs in the context of vector PSHA, 3) deaggregation of earthquake scenarios from LIBS hazard curves, 4) estimation of LIBS hazard curves in areas where earthquakes from multiple tectonic settings can occur (e.g., shallow crustal, subduction), and 5) treatment of uncertainties (i.e., aleatory and epistemic). The developments are implemented in a computational platform named "LIBS", which is fully coupled with PSHA assessments and facilitates the straightforward performance-based estimation of LIBS in engineering practice. Finally, we perform comparisons of performance-based and pseudoprobabilistic-based estimates of LIBS and share insights from the comparisons.