Geotechnical Earthquake Engineering and Geohazard Prevention

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 1738

Special Issue Editors


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Guest Editor
Department of Reinforced Concrete Structures, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania
Interests: risk and fragility analysis; earthquake; seismology; seismics; earthquake seismology; earthquake engineering; civil engineering; seismotectonics; engineering seismology; earthquake prediction; tectonics; applied geophysics; active tectonics
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E-Mail Website
Guest Editor
Department of Reinforced Concrete Structures, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania
Interests: seismic hazard; soil conditions; seismic risk; earthquake engineering; wind engineering; seismology

E-Mail Website
Guest Editor
Department of Reinforced Concrete Structures, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania
Interests: seismic hazard; seismic risk; earthquake engineering; soil conditions; strucutral vulnerability

Special Issue Information

Dear Colleagues,

This Special Issue, entitled “Geotechnical Earthquake Engineering and Geohazard Prevention”, focuses on the critical intersection between geotechnical earthquake engineering practices and the prevention of geohazards. Geohazards, such as landslides, earthquakes, and soil liquefaction, pose significant threats to infrastructure and human lives, making their examination, prevention, and mitigation crucial. Moreover, the context of global warming brings new challenges in the assessment of geohazards.

This Special Issue aims to showcase the latest advancements, research findings, and innovative approaches in geotechnical earthquake engineering that contribute to effective geohazard prevention strategies. It seeks to provide a platform through which researchers, engineers, and practitioners can share their expertise, case studies, and practical solutions aspiring to address geotechnical challenges and minimize the impact of geohazards.

The articles featured in this Special Issue cover a wide range of topics including, but not limited to:

  • geotechnical site investigation techniques;
  • slope stability analysis and monitoring;
  • case studies in geotechnical earthquake engineering;
  • ground improvement methods;
  • soil liquefaction;
  • seismic design aspects;
  • geotechnical risk assessment.

The interdisciplinary nature of this Special Issue encourages collaboration between various fields such as civil engineering, geology, seismology, and geophysics.

By disseminating cutting-edge research and best practices in geotechnical engineering and geohazard prevention, this Special Issue aims to contribute to the development of robust infrastructure systems that can withstand and mitigate the adverse effects of geohazards, and to serve as a valuable resource for academics, professionals, and policymakers involved in geotechnical engineering and disaster risk management.

Dr. Florin Pavel
Prof. Dr. Alexandru Aldea
Dr. Cristian Arion
Guest Editors

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Keywords

  • geotechnical earthquake engineering
  • geohazard prevention
  • landslides
  • earthquakes
  • soil liquefaction
  • soil investigation
  • risk assessment
  • design codes

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Published Papers (1 paper)

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Research

23 pages, 2619 KiB  
Article
Prediction of Soil Liquefaction Triggering Using Rule-Based Interpretable Machine Learning
by Emerzon Torres and Jonathan Dungca
Geosciences 2024, 14(6), 156; https://doi.org/10.3390/geosciences14060156 - 6 Jun 2024
Viewed by 1376
Abstract
Seismic events remain a significant threat, causing loss of life and extensive damage in vulnerable regions. Soil liquefaction, a complex phenomenon where soil particles lose confinement, poses a substantial risk. The existing conventional simplified procedures, and some current machine learning techniques, for liquefaction [...] Read more.
Seismic events remain a significant threat, causing loss of life and extensive damage in vulnerable regions. Soil liquefaction, a complex phenomenon where soil particles lose confinement, poses a substantial risk. The existing conventional simplified procedures, and some current machine learning techniques, for liquefaction assessment reveal limitations and disadvantages. Utilizing the publicly available liquefaction case history database, this study aimed to produce a rule-based liquefaction triggering classification model using rough set-based machine learning, which is an interpretable machine learning tool. Following a series of procedures, a set of 32 rules in the form of IF-THEN statements were chosen as the best rule set. While some rules showed the expected outputs, there are several rules that presented attribute threshold values for triggering liquefaction. Rules that govern fine-grained soils emerged and challenged some of the common understandings of soil liquefaction. Additionally, this study also offered a clear flowchart for utilizing the rule-based model, demonstrated through practical examples using a borehole log. Results from the state-of-practice simplified procedures for liquefaction triggering align well with the proposed rule-based model. Recommendations for further evaluations of some rules and the expansion of the liquefaction database are warranted. Full article
(This article belongs to the Special Issue Geotechnical Earthquake Engineering and Geohazard Prevention)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Analysis of the liquefaction potential at the base of the San Marcos dam (Cayambe, Ecuador). A validation in the use of HVSR
Authors: Olegario Alonso-Pandavenes; Francisco Javier Torrijo Echarri (corresponding author), and Gabriela Torres Galárraga
Affiliation: Universitat Politècnica de València
Abstract: The analysis of the liquefaction potential of the ground is a fundamental characterization in areas with continuous seismic activity, such as Ecuador. Geotechnical liquefaction studies are usually approached from the application of dynamic penetration tests (SPT), which pose problems both in their execution and in their evaluation. The proposed research involves analyzing dynamic penetration tests and microtremor geophysical surveys (Horizontal to Vertical Spectral Ratio, HVSR) at the base of the San Marcos dam, a reservoir destined for the irrigation water sit in Cayambe (Ecuador). Based on the investigations performed at the time of construction of the dam (drilling and geophysical refraction profiles) and the application of 20 microtremor observation stations performed by the HVSR technique, an analysis of the Safety Factor (SF) of liquefaction has been conducted, proposed by Idriss and Boulanger in 2010, and based on the values of the Standard Penetration Test (SPT) test for granular materials (sands). In addition, the vulnerability index (Kg) proposed by Nakamura in 1989 was analyzed through the HVSR passive seismic records related to the Ground Shear-Strain (GSS). The result obtained in the HVSR surveys indicates the presence of a zone of about 100 m length in the central part of the foot of the dam, whose GSS values are identified with a condition of susceptibility to liquefaction. In the same area, the analysis applied to the drill-holes executed in said area also shows a potential susceptibility to liquefaction in earthquake conditions greater than a moment magnitude (Mw) of 5.2, which could occur in the environment, for example, with a new activity condition of the nearby Cayambe volcano or an earthquake from the vicinity subduction zone.

Title: Unveiling Seismic Liquefaction Hazard and Ground Response in Subduction Zone: A 1D Non-Linear Effective Stress Approach
Author: Raza
Highlights: - Conducted non-linear effective stress analyses using seismic records compatible with the local seismic design code. - Identified liquefaction susceptibility, shear strain variations, and plastic deformations. - Evaluated amplification characteristics of site classes D and E, finding discrepancies with the local design code. - Emphasized the need for site-specific liquefaction studies, seismic code revisions for enhanced infrastructure resilience.

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