Abstract
Drilling Resistance Measurement (DRM) is recognised as an important on-site micro-invasive procedure for assessment of construction materials. This paper presents a detailed investigation of user-controlled variables and their influence on drilling resistance. The study proves that the ratio of penetration rate/rotational speed (PR/RPM) is proportional to drilling resistance. Data from Bath stone and an artificial reference stone demonstrates how different materials can be compared using their intrinsic specific energy. It is also shown that adjusting drilling settings does not significantly change drilling measurement variability. However, settings producing high drilling resistance can significantly contribute to drill bit wear. A theoretical framework in which tests can be optimised without compromising the ability to compare data is presented. The framework is of high significance to the conservation industry and will promote a more effective use of DRM. DRM is a minimally invasive procedure particularly appropriate for sensitive heritage structures. Its use can provide the essential mechanical property data required for evaluation of surface consolidation products and specification of repair materials.
Original language | English |
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Article number | 243 |
Number of pages | 11 |
Journal | Materials and Structures |
Volume | 50 |
Issue number | 6 |
Early online date | 17 Nov 2017 |
DOIs | |
Publication status | Published - 1 Dec 2017 |
Keywords
- drilling resistance, Bath stone, uniaxial compressive strength, stone conservation, material characterisation
- drilling resistance
- Bath stone
- stone conservation
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Dive into the research topics of 'Optimization of Drilling Resistance Measurement (DRM) user-controlled variables'. Together they form a unique fingerprint.Profiles
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Richard Ball
- Department of Architecture & Civil Engineering - Reader
- Centre for Sustainable Chemical Technologies (CSCT)
- Centre for Integrated Materials, Processes & Structures (IMPS)
- Centre for Climate Adaptation & Environment Research (CAER)
- Centre for Regenerative Design & Engineering for a Net Positive World (RENEW)
Person: Research & Teaching, Core staff, Affiliate staff
Datasets
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Dataset for Optimization of Drilling Resistance Measurement (DRM) user-controlled variables
Dumitrescu, T. (Creator), Pesce, G. (Creator) & Ball, R. (Creator), University of Bath, 17 Nov 2017
DOI: 10.15125/BATH-00443
Dataset