Data · dataset · 2018
Non-destructive ultrasonic tomography for concrete pavement evaluation: signal processing and image analysis of crucial parameters
Listed in DataCite
Description
Abstract
In recent years, due to the destructive and unproductive character of pavement specimen extraction, pavement maintenance technology intensified the use of non-destructive techniques for pavement evaluation which resulted in the development of several devices and evaluation methods. This paper describes the use of technology based on low frequency ultrasonic tomography for evaluation of concrete pavement parameters. The equipment was applied in three experimental sections with different concrete pavements built at the University of Sao Paulo campus.
Read the rest (2 more)
The ultrasonic signal processing is given. The results analysis enables the efficient and reliable identification of thickness and reinforcement position within the concrete slab. Construction problems were evidenced in one of experimental sections with thickness deficiencies and reinforcement in a position below projected.
Furthermore, the use of a novel concrete quality indicator was correlated with the presence of transverse cracks and alkali-silica reaction within the sections.
Links
Where it is published
- Repository landing page scielo.figshare.com/articles/Non-destructive_ultrasonic_tomography_for_concrete_pa… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.5862354 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1590/s1983-41952017000600004 doi.org/10.1590/s1983-41952017000600004 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.5862354 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.5862354 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Civil engineering
- Inferred from text
- Civil engineering 69% · Image 75%
Related
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.5862354 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].anzsrc:group:4005 | enrichment · DataCite | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].fos:civil-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |