Machine learning-based models for estimating seismically-induced slope displacements in subduction earthquake zones

C Liu, J Macedo - Soil Dynamics and Earthquake Engineering, 2022 - Elsevier
The assessment of the seismic performance of slope systems often relies on estimating the
amount of seismically-induced slope displacements (D) using semi-empirical D models …

Evaluation of seismic slope displacements based on fully coupled sliding mass analysis and NGA-West2 database

W Du, G Wang, D Huang - Journal of Geotechnical and …, 2018 - ascelibrary.org
In this study, two predictive models for seismic slope displacements are developed based on
an equivalent-linear fully coupled sliding mass model and 3,714 ground-motion recordings …

New developments for the performance-based assessment of seismically-induced slope displacements

J Macedo, G Candia, M Lacour, C Liu - Engineering Geology, 2020 - Elsevier
This study presents new developments for the performance-based assessment of
seismically-induced slope displacements (D). Performance-based procedures enable a …

Evaluating different approaches for the hazard‐consistent assessment of the seismic performance of dams

J Macedo, V Ramesh, C Liu… - Bulletin of the …, 2022 - pubs.geoscienceworld.org
The current state of practice in the seismic assessment of dams relies on
pseudoprobabilistic approaches in which the estimation of ground‐motion intensity …

Dynamic effective stress analysis of a centreline tailings dam under subduction earthquakes

J Macedo, P Torres, L Vergaray… - Proceedings of the …, 2022 - icevirtuallibrary.com
A case study was conducted to evaluate the seismic performance of a centreline tailings
dam in the South American Andes through dynamic effective stress analyses with advanced …

Performance-based analysis of Transit tunnels in the Chilean subduction zone

B Lyon, G Candia, C Gutiérrez, J Macedo - Soil Dynamics and Earthquake …, 2022 - Elsevier
In this article, we study the seismic response of a shallow metro tunnel in a subduction zone
environment and the use of a performance-based approach to develop seismic demand …

Machine Learning-Based Assessment of the Seismic Performance of Geotechnical Systems

J Macedo, C Liu - Japanese Geotechnical Society Special …, 2024 - jstage.jst.go.jp
In assessing the seismic performance of geotechnical systems, engineers often use
analytical models to estimate the amount of seismically-induced displacements. These …

Machine Learning-Based Selection of Efficient Parameters for the Evaluation of Seismically Induced Slope Displacements

F Soleimani, J Macedo, C Liu - Lifelines 2022, 2022 - ascelibrary.org
Seismically induced slope displacements (D) are often used as a performance index in the
seismic design of slope systems. Although previous studies have developed predictive …

[PDF][PDF] Reliability-based dynamic analyses for seismic design optimization in British Columbia

G Wu, P Eng - Proc., 27th VGS Annual Symposium on Risk and …, 2021 - wutecgeo.com
Probabilistic based dynamic analysis of soil and concrete structures under earthquake
ground motions provides an effective tool for considering uncertainties in soil parameters …

Epistemic uncertainty treatment in seismically induced slope displacements using polynomial chaos

J Macedo, M Lacour, N Abrahamson - Journal of Geotechnical and …, 2020 - ascelibrary.org
Performance-based probabilistic approaches (PBPAs) for estimating seismically-induced
slope displacements (D) provide hazard-consistent estimates through the evaluation of D …