Probabilistic and Statistical Analysis in Engineering Geology
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 5255
Special Issue Editor
Special Issue Information
Dear Colleagues,
Probabilistic and statistical analysis are essential tools in engineering geology that help to better understand and quantify uncertainty in geological systems. These methods allow engineers to improve the accuracy of predictions and reduce the uncertainty in the design process, leading to more reliable and safe structures. The spectrum of probabilistic and statistical analysis in engineering geology is constantly evolving as new techniques and methods are developed, and as existing methods are refined. However, all these techniques have the common goal of improving our understanding of uncertainty in geological systems and allowing for more informed decision-making in the design and management of geotechnical structures. This Special Issue encompasses a wide range of probabilistic and statistical analyses for the interests of engineering geology.
The methods may include, but are not limited to:
- Probabilistic hazard analysis used to assess the likelihood of geological hazards such as earthquakes, landslides, and rock falls;
- Reliability analysis used to evaluate the reliability of geotechnical structures and systems;
- Monte Carlo simulation used to model and analyze complex geological systems that are influenced by many interrelated variables;
- Frequency analysis used to determine the frequency of occurrence of geological events;
- Statistical regression analysis used to develop relationships between geological parameters and their associated uncertainties;
- Sensitivity analysis used to assess the effect of uncertainty on the performance of geological systems.
Research areas may include, but are not limited to:
- Geological engineering;
- Geotechnical engineering;
- Geophysical engineering;
- Geo-environmental engineering;
- Geospatial engineering;
- Hydrogeological engineering;
- Rock engineering;
- Earthquake engineering;
- Underground engineering;
- Mining engineering.
In this Special Issue, original research articles and reviews are welcome. I look forward to receiving your contributions.
Dr. Haoqing Yang
Guest Editor
Manuscript Submission Information
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Keywords
- Monte Carlo
- uncertainty
- Bayesian methods
- probability
- reliability
- sensitivity
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