Appropriate drying shrinkage prediction models for lightweight concrete containing coarse agro-waste aggregate

Maghfouri, Mehdi and Shafigh, Payam and Alimohammadi, Vahid and Doroudi, Yashar and Aslam, Muhammad (2020) Appropriate drying shrinkage prediction models for lightweight concrete containing coarse agro-waste aggregate. Journal of Building Engineering, 29. ISSN 2352-7102, DOI https://doi.org/10.1016/j.jobe.2019.101148.

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Abstract

Oil palm shell (OPS) agro-waste aggregate was successfully employed to produce lightweight aggregate concretes. However, the high rate of drying shrinkage for this type of concrete can impair the intended functionality of the structures or reduce service life. In this study, drying shrinkage strain behaviour of normal-weight and lightweight aggregate concretes was compared with prediction models. Twelve different mix proportions were designed by using of crushed granite (NWA) and OPS aggregates as replacement of the NWA at increasing intervals of 20%. Actual drying shrinkage at early and long-term ages (275 days) was compared against theoretical results from drying shrinkage prediction models such as ACI209R, EN1992, GL2000, B3 and SAK. Comparison between the test results and predicted results indicated that the EN1992 was the most precise model at early-ages as well as GL2000 at long-term ages. In contrast, B3 was found the least precise model at both early and long-term ages.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Oil palm shell; Lightweight aggregate concrete; Drying shrinkage; Prediction model
Subjects: N Fine Arts > N Visual arts (General) For photography, see TR
N Fine Arts > NA Architecture
Divisions: Faculty of the Built Environment
Faculty of the Built Environment > Department of Architecture
Depositing User: Ms Zaharah Ramly
Date Deposited: 02 May 2024 04:08
Last Modified: 02 May 2024 04:08
URI: http://eprints.um.edu.my/id/eprint/36732

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