Treatment of a stochastic service life prediction model to an evaluation of a distressed two-story RC building

Author(s): S.O. Ekolu
Paper category: Conference
Book title: Concrete Repair, Rehabilitation and Retrofitting III (ICCRRR)
Editor(s): M.G. Alexander, H.-D. Beushausen, F. Dehn, P. Moyo
Print ISBN: 978-0-415-89952-9
Publisher: Taylor & Francis Group
Pages: 162 – 163
Total Pages: 2
Language: English

A service life prediction model is applied to a distressed two-storey building structure in Liberia for purposes of examining the model performance. The structure was estimated to be a 30 to 40 year old Reinforced Concrete (RC) structure due to be renovated for use as a residential and office building. Condition survey showed carbonation—induced reinforcement corrosion among structural members. The stochastic parameters used in the model analysis were taken from previous work (Ekolu, 2010). The stochastic model is environmentally sensitive and data from the condition survey was used to assess the model outputs. Basing on the model, the building’s service life is estimated to have been in the range of 20 to 30 years. It is found that the model makes generally reasonable prediction of the current
condition of the building. But this work also identifies some problems with the model that require research for performance improvement and imbuement of robustness for future use in service life estimation for concrete structures.

Online publication: 2014
Publication Type: abstract_only
Public price (Euros): 0.00