Utilization of sawdust composites in construction—a review

Olaiya, Bamidele Charles; Lawan, Mustapha Muhammad; Olonade, Kolawole Adisa

doi:10.1007/s42452-023-05361-4

Cited by 23 publications

(6 citation statements)

References 80 publications

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“…Their affordability compared to red bricks or natural stones makes them cost-effective. Production is fast and e cient, meeting high construction demands (Olaiya et al, 2023). Modern production methods ensure consistent block sizes, simplifying construction and reducing waste.…”

Section: Introductionmentioning

confidence: 99%

Prediction model for compressive strength of rice husk ash blended sandcrete blocks using a machine learning models

Sathiparan

2024

Preprint

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Sandcrete blocks are popular for construction but their production relies on cement, a major greenhouse gas contributor. Rice husk ash (RHA), a waste product, can partially replace cement in sandcrete blocks. This study uses machine learning (ML) to predict the compressive strength of these blocks, influenced by factors like the ratio of fine aggregate to binder, RHA to binder ratio, water-to-binder ratio, and curing time. The data was collected from published literature on factors affecting compressive strength from various sources and analyzed 795 observations. The analysis showed that strength increases with longer curing but decreases with higher ratios of aggregate-to-binder, RHA-to-binder, and water-to-binder. The data was divided for training and testing ML models. Five algorithms were investigated, and the eXtreme Gradient Boosting (XGB) model emerged as the best for predicting compressive strength. The XGB model strongly correlated with predicted and measured strength, with an R² value of 0.94 for training data and 0.89 for testing. It also displayed lower error metrics compared to other models. XGB's success is due to its ability to handle complex relationships and prevent overfitting. This study highlights the potential of ML for predicting the strength of RHA-blended sandcrete blocks.

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Section: Introductionmentioning

confidence: 99%

Prediction model for compressive strength of rice husk ash blended sandcrete blocks using a machine learning models

Sathiparan

2024

Preprint

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“…It is suggested that developing countries consider sawdust as a valuable byproduct rather than waste. However, sawdust-based compounds may have limitations, so appropriate measures are needed to improve these properties [30].…”

Section: Introductionmentioning

confidence: 99%

Effect of the Incorporation of Olive Tree Pruning Sawdust in the Production of Lightweight Mortars

Oya-Monzón,

Eliche-Quesada,

La Rubia

2024

J. Compos. Sci.

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In order to reduce energy consumption in buildings, this study used olive pruning sawdust (OTPS) instead of natural sand in the production of lightweight mortars. Different percentages of natural sand substitution were tested: 0, 10, 25, and 50% by volume of sand over 7 and 28 days of curing time. Additionally, the influence of a chemical pretreatment in an aqueous solution of calcium hydroxide on the OTPS was also evaluated to mineralize the wood before its addition to the mortar mixture. Mortars with OTPS incorporations were characterized by volumetric shrinkage, bulk density, and capillary water absorption. Mechanical behavior was tested through compression and flexural tests. The addition of this byproduct decreased bulk density and increased mortar porosity. Pretreating olive pruning sawdust with an aqueous solution of calcium hydroxide was effective for wood mineralization, resulting in physical and mechanical properties superior to mortars without pretreatment. The results showed that a maximum addition of 10% by volume of OTPS treated with calcium hydroxide solution produced lighter mortars with similar mechanical properties to the control mortar. Adding higher amounts of pretreated olive pruning (25–50% by volume) led to a more pronounced deterioration of mechanical properties.

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“…Burning leftover sawdust outdoors pollutes the air and has unfavorable consequences for the land, such as raising its acidity levels [ 10 ]. Thus, implementing measures to properly manage leftover sawdust can alleviate environmental problems connected with its mishandling and provide economic benefits [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Bioprospecting CAZymes repertoire of Aspergillus fumigatus for eco-friendly value-added transformations of agro-forest biomass

Joshi,

Grewal,

Drewniak

et al. 2024

Biotechnol Biofuels

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Background Valorizing waste residues is crucial to reaching sustainable development goals and shifting from a linear fossil-based economy to a circular economy. Fungal cell factories, due to their versatility and robustness, are instrumental in driving the bio-transformation of waste residues. The present work isolated a potent strain, i.e., Aspergillus fumigatus (ZS_AF), from an ancient Złoty Stok gold mine, which showcased distinctive capabilities for efficient hydrolytic enzyme production from lignocellulosic wastes. Results The present study optimized hydrolytic enzyme production (cellulases, xylanases, and β-glucosidases) from pine sawdust (PSD) via solid-state fermentation using Aspergillus fumigatus (ZS_AF). The optimization, using response surface methodology (RSM), produced a twofold increase with maximal yields of 119.41 IU/gds for CMCase, 1232.23 IU/gds for xylanase, 63.19 IU/gds for β-glucosidase, and 31.08 IU/gds for FPase. The secretome profiling validated the pivotal role of carbohydrate-active enzymes (CAZymes) and auxiliary enzymes in biomass valorization. A total of 77% of carbohydrate-active enzymes (CAZymes) were constituted by glycoside hydrolases (66%), carbohydrate esterases (9%), auxiliary activities (3%), and polysaccharide lyases (3%). The saccharification of pretreated wheat straw and PSD generated high reducing sugar yields of 675.36 mg/g and 410.15 mg/g, respectively. Conclusion These findings highlight the significance of an efficient, synergistic, and cost-effective arsenal of fungal enzymes for lignocellulosic waste valorization and their potential to contribute to waste-to-wealth creation through solid-waste management. The utilization of Aspergillus fumigatus (ZS_AF) from an unconventional origin and optimization strategies embodies an innovative approach that holds the potential to propel current waste valorization methods forward, directing the paradigm toward improved efficiency and sustainability.

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Utilization of sawdust composites in construction—a review

Cited by 23 publications

References 80 publications

Prediction model for compressive strength of rice husk ash blended sandcrete blocks using a machine learning models

Prediction model for compressive strength of rice husk ash blended sandcrete blocks using a machine learning models

Effect of the Incorporation of Olive Tree Pruning Sawdust in the Production of Lightweight Mortars

Bioprospecting CAZymes repertoire of Aspergillus fumigatus for eco-friendly value-added transformations of agro-forest biomass

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