0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAn experimental procedure for load monitoring and fracture detection with fiber Bragg grating (FBG) strain sensor arrays on a cylinder with backfilled material is described in this paper. This study was conducted as part of a coal-fire-energy byproduct mitigation technique, where incinerator ash was subjected to enhanced carbonation techniques to craft a material called ash carbon concrete (ACC). ACC is a dual porosity material constituted of variable amounts of incinerator ash, aluminum, carbon dioxide (CO2), and water for the purpose of encouraging long-term CO2 mineral sequestration. The simulated carbon-ash retention cylinder (SCARC) was created as a host cell for ACC and FBG monitoring. The optical strain sensors enable the archival of material forming and backfill interaction history. The test results indicate that SCARC can successfully capture the curing expansion and strain development rates of different ACC blends.
Benjamin J. H. Smith, Shenen Chen, Bin Shi, Guangqing Wei, Zhengfu Bian (2014). Pathologic Interpretation of Loading and Cracking Process of SCARC Specimens Using Fiber Bragg Gratings. , DOI: 10.1061/9780784478486.001.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2014
Authors
5
Datasets
0
Total Files
0
Language
English
DOI
10.1061/9780784478486.001
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access