Model Uncertainty for Bilinear Hysteric Systems

John Dalsgaard Sørensen; Palle Thoft-Christensen

Model Uncertainty for Bilinear Hysteric Systems

John Dalsgaard Sørensen, Palle Thoft-Christensen

Sektionen for Konstruktioner, Geoteknik og Risiko

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Abstract

In structural reliability analysis at least three types of uncertainty must be considered, namely physical uncertainty, statistical uncertainty, and model uncertainty (see e.g. Thoft-Christensen & Baker [1]). The physical uncertainty is usually modelled by a number of basic variables by predictive density functions, Veneziano [2]. In general, model uncertainty is the uncertainty connected with mathematical modelling of the physical reality.

When structural reliability analysis is related to the concept of a failure surface (or limit state surface) in the n-dimension basic variable space then model uncertainty is at least due to the neglected variables, the modelling of the failure surface and the computational technique used.

Originalsprog	Engelsk

Udgivelsessted	Aalborg
Forlag	Institute of Building Technology and Structural Engineering
Antal sider	16
Status	Udgivet - 1983
Begivenhed	The Proceedings of System Modelling and Optimization - Copenhagen, Danmark Varighed: 25 jul. 1983 → 29 jul. 1983

Navn	Structural Reliability Theory
Nummer	1
Vol/bind	IFB/A 8301

Konference

Konference	The Proceedings of System Modelling and Optimization
Land/Område	Danmark
By	Copenhagen
Periode	25/07/1983 → 29/07/1983

Bibliografisk note

Presented at the 11th IFIP Conference on "System and Optimization", Copenhagen, July, 1983. Proceedings published by Springer-Verlag, 1984

PDF for print: 16 pp.

Emneord

Physical Uncertainty
Model Uncertainty
Statistical Uncertainty
Limit State Surface
Failure Surface
Computational Technique
Stochastic Process
Dynamic Load
Hysteresis

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Model Uncertainty for Bilinear Hysteric SystemsForlagets udgivne version, 9,04 MB

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Citationsformater

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title = "Model Uncertainty for Bilinear Hysteric Systems",

abstract = "In structural reliability analysis at least three types of uncertainty must be considered, namely physical uncertainty, statistical uncertainty, and model uncertainty (see e.g. Thoft-Christensen & Baker [1]). The physical uncertainty is usually modelled by a number of basic variables by predictive density functions, Veneziano [2]. In general, model uncertainty is the uncertainty connected with mathematical modelling of the physical reality.When structural reliability analysis is related to the concept of a failure surface (or limit state surface) in the n-dimension basic variable space then model uncertainty is at least due to the neglected variables, the modelling of the failure surface and the computational technique used.",

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author = "S{\o}rensen, {John Dalsgaard} and Palle Thoft-Christensen",

note = "Presented at the 11th IFIP Conference on {"}System and Optimization{"}, Copenhagen, July, 1983. Proceedings published by Springer-Verlag, 1984 PDF for print: 16 pp. ; The Proceedings of System Modelling and Optimization ; Conference date: 25-07-1983 Through 29-07-1983",

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AU - Sørensen, John Dalsgaard

AU - Thoft-Christensen, Palle

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PY - 1983

Y1 - 1983

N2 - In structural reliability analysis at least three types of uncertainty must be considered, namely physical uncertainty, statistical uncertainty, and model uncertainty (see e.g. Thoft-Christensen & Baker [1]). The physical uncertainty is usually modelled by a number of basic variables by predictive density functions, Veneziano [2]. In general, model uncertainty is the uncertainty connected with mathematical modelling of the physical reality.When structural reliability analysis is related to the concept of a failure surface (or limit state surface) in the n-dimension basic variable space then model uncertainty is at least due to the neglected variables, the modelling of the failure surface and the computational technique used.

AB - In structural reliability analysis at least three types of uncertainty must be considered, namely physical uncertainty, statistical uncertainty, and model uncertainty (see e.g. Thoft-Christensen & Baker [1]). The physical uncertainty is usually modelled by a number of basic variables by predictive density functions, Veneziano [2]. In general, model uncertainty is the uncertainty connected with mathematical modelling of the physical reality.When structural reliability analysis is related to the concept of a failure surface (or limit state surface) in the n-dimension basic variable space then model uncertainty is at least due to the neglected variables, the modelling of the failure surface and the computational technique used.

KW - Physical Uncertainty

KW - Model Uncertainty

KW - Statistical Uncertainty

KW - Limit State Surface

KW - Failure Surface

KW - Computational Technique

KW - Stochastic Process

KW - Dynamic Load

KW - Hysteresis

KW - Limit State Surface

KW - Failure Surface

KW - Computational Technique

KW - Model Uncertainty

KW - Statistical Uncertainty

KW - Physical Uncertainty

KW - Hysteresis

KW - Dynamic Load

KW - Stochastic Process

M3 - Report

T3 - Structural Reliability Theory

BT - Model Uncertainty for Bilinear Hysteric Systems

PB - Institute of Building Technology and Structural Engineering

CY - Aalborg

T2 - The Proceedings of System Modelling and Optimization

Y2 - 25 July 1983 through 29 July 1983

ER -

Model Uncertainty for Bilinear Hysteric Systems

Abstract

Konference

Bibliografisk note

Emneord

Adgang til dokumentet

AUB Link

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Citationsformater