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Derivation of dynamic material properties of steel-fibre-reinforced concrete using kernel regression

Version 2 2024-06-17, 18:49
Version 1 2016-05-24, 11:54
conference contribution
posted on 2024-06-17, 18:49 authored by Y Wang, H Hao, Y Hao
The reliable and efficient design of steel-fibre-reinforced concrete (SFRC) structures requires clear knowledge of material properties. Since the locations and orientations of aggregates and fibres in concrete are intrinsically random, testing results from different specimens vary, and it needs hundreds or even thousands of specimens and tests to derive the unbiased statistical distributions of material properties by using traditional statistical techniques. Therefore, few statistical studies on the SFRC material properties can be found in literature. In this study, high-rate impact test results on SFRC using split Hopkinson pressure bar are further analysed. The influences of different strain rates and various volume fractions of fibres on compressive strength of SFRC specimens under dynamic loadings will be quantified, by using kernel regression, a kernel-based nonparametric statistical method. Several kernel estimators and functions will be compared. This technique allows one to derive an unbiased statistical estimation from limited testing data. Therefore it is especially useful when the testing data is limited.

History

Pagination

679-685

Location

Newcastle, N.S.W.

Start date

2015-02-03

End date

2015-02-06

ISBN-13

9780987114372

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2015, University of Newcastle

Editor/Contributor(s)

Stewart M, Netherton M

Title of proceedings

ICPS3 2015 : Design and Analysis of Protective Structures : Proceedings of the 3rd International Conference on Protective Structures

Event

Protective Structures. Conference (3rd : 2015 : Newcastle, N.S.W.)

Publisher

Centre for Infrastructure Performance and Reliability, The University of Newcastle

Place of publication

Callaghan, N.S.W.

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