Effects of Marine Shellfish on Mechanical Properties and Microstructure of Coral Concrete

Author:

Zhao Xiangran1ORCID,Wu Qing1,Akbar Muhammad2,Yin Rongrong1,Ma Shiliang3,Zhi Yong1ORCID

Affiliation:

1. School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, China

2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China

3. Zhenjiang University Park Headquarters, Zhenjiang University, Zhenjiang 212028, China

Abstract

Using coral debris as coarse and fine aggregates and seawater as mixing water has been proposed to address transportation and material shortage issues in island and reef construction projects. However, the utilization of coral may result in impurities, such as shellfish and other marine organisms, which could impact the mechanical properties of the resulting concrete. The goal of this study is to find out how different amounts of shellfish and marine organism impurities affect the mechanical properties and microstructure of coral concrete. This study builds on the process of making full coral concrete. Substitution optimization is carried out using the response surface method (RSM), with the polynomial work expectation serving as a validation measure. The experimental findings indicate that impurities have an insignificant impact on the mechanical properties of coral concrete when their dosage is below 2%, causing a decrease of only around 6%. The mechanical properties of coral concrete containing shellfish and marine organism impurities exhibit a strong correlation at 28 days. SEM and XRD analysis revealed that the primary factor contributing to the decline of mechanical properties in coral concrete with shellfish and marine organism impurities is the weak strength of the impurity shell structure, in addition to the rehydration of internal biomass during the cement hydration process, leading to the formation of numerous small pores within the coral concrete. The results of an ANOVA test indicate that the model is statistically significant, with a p-value of less than 0.05.

Funder

Jiangsu Province postgraduate research and innovation plan

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

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