A comparative study of acoustic emission tomography and digital image correlation measurement on a reinforced concrete beam

Y. Yang, F. Zhang, D. A. Hordijk, K. Hashimoto, T. Shiotani

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

This paper presents a comparative study based on a thorough beam bending test.The intention is to obtain the relationship between the nominal elastic wave velocity obtained from Acoustic Emission tomography analysis and the physical damage of the RC beam in terms of crack opening. The crack width of the specimen was determined by both Digital Image Correlation and the conventional LVDT measurements. The study shows that globally the nominal wave speed derived from AE tomography is related to the crack development of the specimen when the crack width is limited. It is also shown that the scatter of the AE tomography results can be improved by averaging the nominal wave velocity of the cells along the cracked section.
Original languageEnglish
Title of host publicationLife-Cycle Analysis and Assessment in Civil Engineering
Subtitle of host publicationTowards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
EditorsDan M. Frangopol, Robby Caspeele, Luc Taerwe
PublisherCRC Press / Balkema
Pages2419-2426
Number of pages8
ISBN (Print)978-1-1386-2633-1
Publication statusPublished - 2019
Event6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018 - Ghent, Belgium
Duration: 28 Oct 201831 Oct 2018
Conference number: 6
http://www.ialcce2018.org/#/home

Conference

Conference6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
Abbreviated titleIALCCE 2018
CountryBelgium
CityGhent
Period28/10/1831/10/18
Internet address

Fingerprint Dive into the research topics of 'A comparative study of acoustic emission tomography and digital image correlation measurement on a reinforced concrete beam'. Together they form a unique fingerprint.

Cite this