A Fuzzy Logic Approach to Stochastic 1D Site Response Analysis accounting for Soil Uncertainties

Alessandro Tombari, Luciano Stefanini

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNResearchpeer-review

Abstract

Site response analysis, namely the analysis of the wave propagation of shear waves through a soil deposit, requires the specification of the input ground motion and the dynamic characterization of the soil deposit. While the stochastic approach is commonly used for modelling seismic excitation, the use of probability density functions for describing the soil properties is consistent only when precise informations based on a large amount of data from soil surveys are available. Conversely, a non-probabilistic approach based on fuzzy set theory would be more appropriate for dealing with uncertainties that are just expressed by vague, imprecise, qualitative, or incomplete information and supplied by engineering judgement. In this paper, a hybrid fuzzy-stochastic 1D site response analysis approach for dealing with soil uncertainties defined as convex normal fuzzy sets is addressed. Zadeh's extension principle, in combination with an efficient implementation of the Differential Evolution Algorithm is used for global minimization and maximization. Results are presented as fuzzy median value ofthe largest peaks of the peak ground acceleration at the surface by considering four types of soil classified in accordance with the European seismic building code.
Original languageEnglish
Title of host publicationICOSSAR2017 12th International Conference on Structural Safety & Reliability
Place of PublicationVienna
Pages810-819
Number of pages10
Publication statusPublished - 6 Aug 2017
EventICOSSAR2017 12th International Conference on Structural Safety & Reliability - Vienna, Austria, 6-10 August 2017
Duration: 6 Aug 2017 → …

Conference

ConferenceICOSSAR2017 12th International Conference on Structural Safety & Reliability
Period6/08/17 → …

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response analysis
fuzzy mathematics
soil
soil survey
probability density function
ground motion
wave propagation
S-wave
soil property
engineering
modeling

Cite this

Tombari, A., & Stefanini, L. (2017). A Fuzzy Logic Approach to Stochastic 1D Site Response Analysis accounting for Soil Uncertainties. In ICOSSAR2017 12th International Conference on Structural Safety & Reliability (pp. 810-819). Vienna.
Tombari, Alessandro ; Stefanini, Luciano. / A Fuzzy Logic Approach to Stochastic 1D Site Response Analysis accounting for Soil Uncertainties. ICOSSAR2017 12th International Conference on Structural Safety & Reliability. Vienna, 2017. pp. 810-819
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abstract = "Site response analysis, namely the analysis of the wave propagation of shear waves through a soil deposit, requires the specification of the input ground motion and the dynamic characterization of the soil deposit. While the stochastic approach is commonly used for modelling seismic excitation, the use of probability density functions for describing the soil properties is consistent only when precise informations based on a large amount of data from soil surveys are available. Conversely, a non-probabilistic approach based on fuzzy set theory would be more appropriate for dealing with uncertainties that are just expressed by vague, imprecise, qualitative, or incomplete information and supplied by engineering judgement. In this paper, a hybrid fuzzy-stochastic 1D site response analysis approach for dealing with soil uncertainties defined as convex normal fuzzy sets is addressed. Zadeh's extension principle, in combination with an efficient implementation of the Differential Evolution Algorithm is used for global minimization and maximization. Results are presented as fuzzy median value ofthe largest peaks of the peak ground acceleration at the surface by considering four types of soil classified in accordance with the European seismic building code.",
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Tombari, A & Stefanini, L 2017, A Fuzzy Logic Approach to Stochastic 1D Site Response Analysis accounting for Soil Uncertainties. in ICOSSAR2017 12th International Conference on Structural Safety & Reliability. Vienna, pp. 810-819, ICOSSAR2017 12th International Conference on Structural Safety & Reliability, 6/08/17.

A Fuzzy Logic Approach to Stochastic 1D Site Response Analysis accounting for Soil Uncertainties. / Tombari, Alessandro; Stefanini, Luciano.

ICOSSAR2017 12th International Conference on Structural Safety & Reliability. Vienna, 2017. p. 810-819.

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNResearchpeer-review

TY - GEN

T1 - A Fuzzy Logic Approach to Stochastic 1D Site Response Analysis accounting for Soil Uncertainties

AU - Tombari, Alessandro

AU - Stefanini, Luciano

PY - 2017/8/6

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N2 - Site response analysis, namely the analysis of the wave propagation of shear waves through a soil deposit, requires the specification of the input ground motion and the dynamic characterization of the soil deposit. While the stochastic approach is commonly used for modelling seismic excitation, the use of probability density functions for describing the soil properties is consistent only when precise informations based on a large amount of data from soil surveys are available. Conversely, a non-probabilistic approach based on fuzzy set theory would be more appropriate for dealing with uncertainties that are just expressed by vague, imprecise, qualitative, or incomplete information and supplied by engineering judgement. In this paper, a hybrid fuzzy-stochastic 1D site response analysis approach for dealing with soil uncertainties defined as convex normal fuzzy sets is addressed. Zadeh's extension principle, in combination with an efficient implementation of the Differential Evolution Algorithm is used for global minimization and maximization. Results are presented as fuzzy median value ofthe largest peaks of the peak ground acceleration at the surface by considering four types of soil classified in accordance with the European seismic building code.

AB - Site response analysis, namely the analysis of the wave propagation of shear waves through a soil deposit, requires the specification of the input ground motion and the dynamic characterization of the soil deposit. While the stochastic approach is commonly used for modelling seismic excitation, the use of probability density functions for describing the soil properties is consistent only when precise informations based on a large amount of data from soil surveys are available. Conversely, a non-probabilistic approach based on fuzzy set theory would be more appropriate for dealing with uncertainties that are just expressed by vague, imprecise, qualitative, or incomplete information and supplied by engineering judgement. In this paper, a hybrid fuzzy-stochastic 1D site response analysis approach for dealing with soil uncertainties defined as convex normal fuzzy sets is addressed. Zadeh's extension principle, in combination with an efficient implementation of the Differential Evolution Algorithm is used for global minimization and maximization. Results are presented as fuzzy median value ofthe largest peaks of the peak ground acceleration at the surface by considering four types of soil classified in accordance with the European seismic building code.

M3 - Conference contribution with ISSN or ISBN

SN - 9783903024281

SP - 810

EP - 819

BT - ICOSSAR2017 12th International Conference on Structural Safety & Reliability

CY - Vienna

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Tombari A, Stefanini L. A Fuzzy Logic Approach to Stochastic 1D Site Response Analysis accounting for Soil Uncertainties. In ICOSSAR2017 12th International Conference on Structural Safety & Reliability. Vienna. 2017. p. 810-819