Investigating correlations between crack width, corrosion level and anchorage capacity
2017 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980, Vol. 13, no 10, p. 1294-1307Article in journal (Refereed) Published
Abstract [en]
In assessing existing structures, inspection results need to be linked to the effects on load-carrying capacity; to provide such information, this study has investigated the correlation between splitting crack width, corrosion level and anchorage capacity. The study was based on 13 reinforced concrete beams that had been exposed to natural corrosion for 32 years, 11 beams with splitting cracks and 2 without. The crack pattern and widths were documented before undergoing structural testing of anchorage capacity. Thereafter, the reinforcement bars were extracted and their corrosion levels measured using two methods, gravimetric weight loss and 3D scanning. The corrosion level from the weight loss method was approximately twice as large; possible reasons are horizontal or subsurface corrosion pits, and the cleaning method. Further, for the same corrosion level, the specimens in this study had much larger crack widths and slightly lower bond capacity than the artificially corroded tests in the literature; a possible reason is that these specimens had been subjected to combined corrosion and freezing. However, the corrosion level and reduction in bond capacity related to crack width were both lower in the present than in previous studies in the literature. Thus, by formulating a damage indicator from the damage visible in the form of crack widths from artificial test data, the structural capacity is estimated to be on the safe side.
Place, publisher, year, edition, pages
Taylor & Francis, 2017. Vol. 13, no 10, p. 1294-1307
Keywords [en]
3D optical scanning, anchorage, bond, Corrosion, crack width, inspection, pitting
National Category
Infrastructure Engineering Building Technologies Applied Mechanics
Identifiers
URN: urn:nbn:se:ri:diva-27821DOI: 10.1080/15732479.2016.1263673Scopus ID: 2-s2.0-85007290188OAI: oai:DiVA.org:ri-27821DiVA, id: diva2:1063550
2017-01-102017-01-102020-12-01Bibliographically approved