Agricultural and Aquaculture Wastes as Concrete Components: A Review

Wei, Wang; Wei, Wuyou; Gao, Shan; Chen, Guiming; Yuan, Jian; Liu, Yu

doi:10.3389/fmats.2021.762568

Cited by 26 publications

(13 citation statements)

References 97 publications

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“…The compression strength of the partnership decreased as the number of waste containers increased over time in the general trend 30 , 31 . The higher water/cement ratio used in agricultural added mortar compared to the reference mortar and an increase in agricultural waste content with a much lower mechanical resistance as a sand replacement could explain the results 32 , 33 . As shown in Fig.…”

Section: Resultsmentioning

confidence: 96%

Machine learning optimization of bio-sandcrete brick modelling using response surface methodology

Ganasen,

Krishnaraj,

Onyelowe

et al. 2024

Sci Rep

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In this study, raw grinded groundnut shell (RGGNS) was used as a fine aggregate in the brick industry to reuse agricultural waste in building materials. In this study, an experimental approach was used to examine a new cement brick with raw groundnut shells integrated with compressive strength, water absorption and dry density optimization utilizing response surface methodology (RSM). The raw ground-nut shell content improved the fine aggregate performance of the 40%, 50%, and 60% samples. The 28-day high compressive strength with the raw ground-nut shell was 6.1 N/mm2 maximum, as needed by the technical standard. Samples made from 40%, 50%, and 60% raw groundnut shells yielded densities of 1.7, 2.2, and 1.9 kg/cm3 for groundnut shell (GNS) brick, respectively. A product's mechanical properties meet the IS code standard’s minimum requirements. RSM was then utilized to develop a model for the addition of raw groundnut shell to concrete. R-square and Adeq precision values indicated that the results are highly significant, and equations for predicting compressive strength, water absorption, and dry density have been developed. In addition, optimization was performed on the RSM findings to determine the efficiency optimization of the model. Following the optimization results, experiments were conducted to determine the applicability of the optimized model.

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Section: Resultsmentioning

confidence: 96%

Machine learning optimization of bio-sandcrete brick modelling using response surface methodology

Ganasen,

Krishnaraj,

Onyelowe

et al. 2024

Sci Rep

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“…Agricultural waste refers to waste from agricultural production, product process, livestock, breeding and rural residents. They account for more than 30% of the world’s agricultural output, whereas in most cases they are burnt or landfilled ( Gao, 2021 ). For concrete application, agricultural waste use includes natural plant fibres, sisal fibre, date palm fibres, agricultural waste ash, olive waste ash, banana leaf ash and others.…”

Section: Resultsmentioning

confidence: 99%

Construction and demolition waste framework of circular economy: A mini review

Papamichael,

Voukkali,

Loizia

et al. 2023

Waste Manag Res

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As the demand for materials continues to increase and building lifespans shorten, the construction industry faces mounting pressure to reduce its material and environmental impacts. Mismanagement of construction and demolition waste (CDW) can have severe environmental consequences. To address this, material recovery and circular economy approaches offer significant potential for reducing construction waste through the sustainable use of resources. Existing circular economy and material recovery models that prioritize recycling and reuse efforts demonstrate a sustained commitment to supporting circular practices in the construction and demolition sector. The goal is to minimize waste production, which poses environmental challenges such as raw material shortages and sustainability concerns. Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement for recruiting relevant literature, this mini review aims to identify the obstacles to implementing circular economy practices in the construction industry, while exploring opportunities for material recovery and circularity. The ultimate aim is to facilitate a fair and smooth transition towards sustainable development, while addressing environmental, social and economic barriers. A more sustainable and circular approach to building construction and management can be attained by considering all the aspects of the CDW cycle, resulting in significant benefits for the environment and society as a whole.

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“…In addition, large amounts of waste materials are dumped and burned as a result of rapid urbanization, industrialization, and population growth, which is a severe burden on waste management and environmental pollution [ 6 ]. As a result, the feasible study of using agricultural by-products as a substitute for coarse aggregate in concrete production has been proposed for alleviating the pressure from ever-increasing natural resource consumption and agricultural waste pollution [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Uniaxial Compressive Stress–Strain Model of Jujube Nucleus Concrete following Exposure to Elevated Temperatures

Jia

Gao

et al. 2023

Materials

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Aiming to provide a solution for natural resource consumption and agricultural waste pollution, jujube nucleus is utilized as a substitute for coarse aggregate in the preparation of lightweight aggregate concrete. The effect of the jujube nucleus (JN) replacement ratio and the elevated temperature on the uniaxial compressive stress–strain curves of jujube nucleus concrete (JNC) are experimentally studied. The results show that the failure of the JNC prisms became more serious with the increase in the JN replacement ratio. The linear proportion in ascending branch and the descending slope of the stress–strain curves for JNC increased gradually with the increase in the JN replacement ratio and elevated temperature, which is probably owing to the higher porosity and lower stiffness of the jujube nucleus, compared to natural aggregate. Moreover, as the JN replacement ratio and the elevated temperature increase, the peak stress and elastic modulus in the stress–strain curves of JNC decrease gradually, whilst an increase in the peak strain shows up, which is possibly due to the growth of hydrate calcium silicate and calcium hydroxide hampered by sucrose molecules. Based on the test results, a series of theoretical formulas are proposed to predict the compressive performance of JNC. A material constitutive model is developed for describing the stress–strain relationship of JNC by considering the JN replacement ratio and elevated temperature.

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Agricultural and Aquaculture Wastes as Concrete Components: A Review

Cited by 26 publications

References 97 publications

Machine learning optimization of bio-sandcrete brick modelling using response surface methodology

Machine learning optimization of bio-sandcrete brick modelling using response surface methodology

Construction and demolition waste framework of circular economy: A mini review

Uniaxial Compressive Stress–Strain Model of Jujube Nucleus Concrete following Exposure to Elevated Temperatures

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