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On the probabilistic time-dependent axial shortening of tall concrete buildings

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Koutsoukis, M (1996) On the probabilistic time-dependent axial shortening of tall concrete buildings. PhD thesis, University of Tasmania.

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Abstract

Tall concrete buildings experience time-dependent axial shortening which may be
interpreted as either absolute or differential, the former being with respect to a
single column or core element, the latter being with respect to adjacent elements.
The types of analyses undertaken to determine axial shortening would normally be
deterministic, the rigour being commensurate with the degree of shortening likely
to be experienced. Mathematical rigour, however, may or may not be justified in
the context of the natural variability of constituent parameters and thus a closer
examination of the probabilistic uncertainties associated with axial shortening,
particularly for tall buildings, is warranted. Shortening is influenced by, amongst
other things, the complex load history of a building during its construction cycle.
In this context the properties of concrete are investigated to determine those that
are critical to any axial shortening analysis. The work here describes three
probabilistic techniques, namely, Monte Carlo simulation, and first- and secondorder
moment analyses. Each incorporates random constitutive information in
addition to a rigorous procedure for obtaining the representative shortening values.
Element behaviour is modelled by the composite models of either Faber, Trost and
Bazant, Dischinger or improved Dischinger, combined with the recommendations
of the ACI, CEB-FIP, AS-3600 and other sources for describing creep and
shrinkage. These models are coupled with the detailed load history of each
successive element, based on the construction sequence of the building, and the
usual environmental effects, resulting in a procedure capable of analysing fully the
axial shortening effects to a high level of detail and with a measured degree of
certainty. A software program has been developed to do this analysis.
The probabilistic distributions of axial shortening results are subsequently
determined using standard goodness of fit tests. With numerous predictive
methods available for column behaviour, the author sets out to examine their
differences in the context of axial shortening behaviour. An assessment of the
sensitivity of each input parameter, in addition to comparisons with other
predictive procedures is made. Conclusions follow from these studies. Finally, the
probabilistic models are, to a limited extent, compared to field data of column
shortenings.

Item Type: Thesis (PhD)
Copyright Holders: The Author
Copyright Information:

Copyright 1996 the Author - The University is continuing to endeavour to trace the copyright owner(s) and in the meantime this item has been reproduced here in good faith. We would be pleased to hear from the copyright owner(s).

Additional Information:

Volume 2 consists of published material that is not able to be communicated via this repository. We have added the contents pages to volume 2 to the back of volume 1.

Date Deposited: 19 Dec 2014 02:36
Last Modified: 11 Mar 2016 05:55
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