Application of probabilistic methods to characterize soil variability and their effects on bearing capacity and settlement of shallow foundations: state of the art
| Autor: | Mohammad Kayser, Sivapalan Gajan |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Engineering
Environmental Engineering business.industry Settlement (structural) Monte Carlo method Probabilistic logic Foundation (engineering) Soil Science Geotechnical Engineering and Engineering Geology Physics::Geophysics Probabilistic method Shallow foundation Geotechnical engineering Probabilistic analysis of algorithms Bearing capacity business |
| Zdroj: | International Journal of Geotechnical Engineering. 8:352-364 |
| ISSN: | 1939-7879 1938-6362 |
| DOI: | 10.1179/1938636213z.00000000073 |
| Popis: | This paper presents the applications of probabilistic methods to analyze the load-displacement behavior of shallow foundations supported by uncertain and spatially variable soils. The paper describes the types and sources of uncertainties in soil properties that dictate the bearing capacity and settlement of shallow foundations and characterizes their probabilistic distributions. General probabilistic analysis methods that are commonly used in foundation engineering applications such as first order second moment (FOSM) method, tornado diagram method, Monte Carlo (MC) simulation method, random finite element method (RFEM), and reliability-based design (RBD) method are briefly described. A thorough summary of the applications of these methods in determining the probabilistic bearing capacity, settlement, and differential settlement of shallow foundations from the research literature is presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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