Relationship between corrosion and element severity score for reinforced concrete beams

O'FLAHERTY, Fin, BROWNE, Elena, MANGAT, Pal and LAMBERT, Paul (2015). Relationship between corrosion and element severity score for reinforced concrete beams. In: SAHA, Swapan, ZHANG, Y.X., YAZDANI, Siamak and SINGH, Amarjit, (eds.) Implementing Innovative Ideas in structural engineering and project management. ISEC Press, 575-580.

OflahertyRelationship between corrosionandelement.pdf - Accepted Version
All rights reserved.

Download (375kB) | Preview
[img] PDF (Acceptance communication)
Oflaherty 11587.pdf - Other
Restricted to Repository staff only

Download (175kB)
Official URL:


Guidance for highway bridge and structure maintenance management in the UK is provided by the code of practice (CoP) 'Management of Highway Structures'. With regards to inspection of reinforced concrete beams in accordance with the code, the professional judgement of the bridge engineer is required to assess the extent and severity of deterioration with help from a library of different defects. The Extent of the defects is rated A – E whilst the Severity is scored 1 – 5, giving an Extent and Severity score for each element, known as the element condition score. However, the Code does not provide information on the corresponding levels of corrosion in the steel reinforcement in the damaged beam. The purpose of this paper is to relate the element severity scores for a range of damaged reinforced concrete beams to approximate levels of corrosion of the main steel, thereby giving the bridge inspector an understanding of the seriousness of corrosion for each of the five Severity scores.

Item Type: Book Section
Additional Information: Proceedings of the 8th International Structural Engineering and Construction Conference
Identification Number:
Page Range: 575-580
Depositing User: Helen Garner
Date Deposited: 15 Feb 2016 10:17
Last Modified: 18 Mar 2021 06:18

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics