Response Surface Method for Material Uncertainty Quantification of Infrastructures

Joint Authors

Hariri-Ardebili, Mohammad Amin
Seyed-Kolbadi, S. Mahdi
Noori, Mohammad

Source

Shock and Vibration

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-07-05

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

Recently, probabilistic simulations became an inseparable part of risk analysis.

Managers and stakeholders prefer to make their decision knowing the existing uncertainties in the system.

Nonlinear dynamic analysis and design of infrastructures are affected by two main uncertainty sources, i.e., epistemic and aleatory.

In the present paper, the epistemic uncertainty is addressed in the context of material randomness.

An old ultra-high arch dam is selected as a vehicle for numerical analyses.

Four material properties are selected as random variables in the coupled dam-reservoir-foundation system, i.e., concrete elasticity, mass density, compressive (and tensile) strength, and the rock modulus of elasticity.

The efficient Box-Behnken experimental design is adopted to minimize the required simulations.

A response surface metamodel is developed for the system based on different outputs, i.e., displacement and damage index.

The polynomial-based response surface model is subsequently validated with a large number of simulations based on Latin Hypercube sampling.

Results confirm the high accuracy of proposed technique in material uncertainty quantification.

American Psychological Association (APA)

Hariri-Ardebili, Mohammad Amin& Seyed-Kolbadi, S. Mahdi& Noori, Mohammad. 2018. Response Surface Method for Material Uncertainty Quantification of Infrastructures. Shock and Vibration،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1215061

Modern Language Association (MLA)

Hariri-Ardebili, Mohammad Amin…[et al.]. Response Surface Method for Material Uncertainty Quantification of Infrastructures. Shock and Vibration No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1215061

American Medical Association (AMA)

Hariri-Ardebili, Mohammad Amin& Seyed-Kolbadi, S. Mahdi& Noori, Mohammad. Response Surface Method for Material Uncertainty Quantification of Infrastructures. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1215061

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1215061