Site Soundings Density for Geotechnical Investigation with Combined Fuzzy and Probabilistic Input Information

A fuzzy sets decision support system is proposed for geotechnical site investigation. The system considers parameters such as geology and soil variability that affect the required number of soundings to adequately characterize a site. It permits also to consider vagueness and lack of information. On...

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Veröffentlicht in:Geotechnical and geological engineering 2014-04, Vol.32 (2), p.547-559
Hauptverfasser: Boumezerane, Djamalddine, Belkacemi, Smain, Zlender, Bojan
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creator Boumezerane, Djamalddine
Belkacemi, Smain
Zlender, Bojan
description A fuzzy sets decision support system is proposed for geotechnical site investigation. The system considers parameters such as geology and soil variability that affect the required number of soundings to adequately characterize a site. It permits also to consider vagueness and lack of information. On the basis of available qualitative and quantitative information, the system allows estimating, for common projects, the number of site soundings. Monte Carlo simulations of entry ranges, where each point has a uniform probability distribution, permit to arrange the output in form of histograms fitted with probability functions. The cases presented show that the fuzzy inference system can be used as a systematic decision support for engineers dealing with site characterization.
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subjects Civil Engineering
Computer simulation
Decision support systems
Density
Earth and Environmental Science
Earth Sciences
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Fuzzy systems
Geology
Geotechnical engineering
Geotechnical Engineering & Applied Earth Sciences
Geotechnics
Histograms
Hydrogeology
Information systems
Monte Carlo simulation
Original Paper
Probabilistic inference
Probability distribution
Probability theory
Soil
Soil investigations
Sounding
Soundings
Statistical analysis
Statistical methods
Terrestrial Pollution
Waste Management/Waste Technology
title Site Soundings Density for Geotechnical Investigation with Combined Fuzzy and Probabilistic Input Information
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