Dynamic shear modulus and damping of lightweight sand-mycelium soil

Gou, Leyu; Li, Sa

doi:10.1007/s11440-023-01885-6

Cited by 6 publications

(2 citation statements)

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“…Another possible approach for improving the properties of MBCs is mixing various kinds of agricultural substrates during the production process, resulting in the opportunity to effectively change the properties of various aspects of materials [16]. Moreover, many earlier studies regarding MBC production have also used silica and carbonate sand along with clay to improve the properties of this material [17][18][19][20][21]. In this context, paper waste, which constitutes a significant portion of global solid waste, has become an attractive choice for improving the properties of MBCs because paper waste typically contains cellulose (82-95 wt%), which has an excellent ability to improve the mechanical and physical properties of composite materials [22,23].…”

Section: Introductionmentioning

confidence: 99%

Improving the Physical and Mechanical Properties of Mycelium-Based Green Composites Using Paper Waste

Teeraphantuvat,

Jatuwong,

Jinanukul

et al. 2024

Polymers

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The growing demand for environmentally friendly and sustainable materials has led to the invention of innovative solutions aiming to reduce negative impacts on the environment. Mycelium-based green composites (MBCs) have become an alternative to traditional materials due to their biodegradability and various potential uses. Although MBCs are accepted as modern materials, there are concerns related to some of their physical and mechanical properties that might have limitations when they are used. This study investigates the effects of using paper waste to improve MBC properties. In this study, we investigated the physical and mechanical properties of MBCs produced from lignocellulosic materials (corn husk and sawdust) and mushroom mycelia of the genus Lentinus sajor-caju TBRC 6266, with varying amounts of paper waste added. Adding paper waste increases the density of MBCs. Incorporating 20% paper waste into corn husks led to the enhancement of the compression, bending, and impact strength of MBCs by over 20%. Additionally, it was also found that the MBCs produced from corn husk and 10% paper waste could help in reducing the amount of water absorbed into the material. Adding paper waste to sawdust did not improve MBC properties. At the same time, some properties of MBCs, such as low tensile strength and high shrinkage, might need to be further improved in the future to unlock their full potential, for which there are many interesting approaches. Moreover, the research findings presented in this publication provide a wealth of insightful information on the possibility of using paper waste to improve MBC performance and expand their suitability for a range of applications in sustainable packaging materials and various home decorative items. This innovative approach not only promotes the efficient utilization of lignocellulosic biomass but also contributes to the development of environmentally friendly and biodegradable alternatives to traditional materials.

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Section: Introductionmentioning

confidence: 99%

Improving the Physical and Mechanical Properties of Mycelium-Based Green Composites Using Paper Waste

Teeraphantuvat,

Jatuwong,

Jinanukul

et al. 2024

Polymers

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“…Understanding dynamic behavior of geomaterials is crucial for designing safe and reliable structures, as these soils often play a significant role in the foundation of structures, embankments, and other geotechnical systems. Two key parameters that characterize the dynamic response of granular soils are the shear modulus (G) and damping ratio (D) [1][2][3]. The shear modulus represents the material's resistance to shear deformation, while the damping ratio reflects the energy dissipation capacity during cyclic loading.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Normalized Shear Modulus and Damping Ratio for Granular Soils Over a Wide Strain Range Using Deep Neural Network Modelling

Bayat,

Mousavi,

et al. 2023

Preprint

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Dynamic properties (i.e., shear modulus and damping ratio) of geomaterials play a vital role in civil engineering applications and are essential for reliable dynamic response analysis. This paper presents a novel approach for predicting the normalized shear modulus (G/Gmax) and damping ratio (D) of granular soils across a wide strain range using a Deep Neural Network (DNN) modeling strategy. Traditional methods for predicting these properties often rely on empirically derived relationships that may not capture the full complexity of granular soil behavior under varying strain conditions. A comprehensive dataset of shear modulus and damping ratio measurements from laboratory cyclic triaxial (CT) and resonant column (RC) tests conducted under various conditions is utilized. The dataset covers a wide range of strain levels, allowing for a more robust and versatile modeling approach. For predicting the G/Gmax and D of granular soils, a Deep Feed-Forward Neural Network (DFFNN) model was developed to learn the features from input data. The proposed model considers the influence of grading characteristics (Gravel Content, GC, median particle size, D50, Uniformity Coefficient, Cu, and Coefficient of Curvature, Cc), shear strain (\(\gamma\)), void ratio (e), mean effective confining pressure (\({\sigma ^{\prime}_m}\)), consolidation stress ratio (KC) and specimens’ preparation method (S-P) as input data. The empirical models (EMs) and three other intelligent techniques, namely Shallow Neural Network (SNN), Support Vector Regression (SVR), and Gradient Boosting Regression (GBR) were used for comparison. The testing accuracy of the proposed DFFNN for predicting the G/Gmax and D was 0.9830 and 0.9396, respectively. The results demonstrate that the proposed DFFNN modeling strategy provides a highly accurate means of predicting G/Gmax and D for granular soils across a broad shear strain range. This method offers advantages over EMs by incorporating a data-driven approach that can adapt to the specific behavior of different granular soil types and loading conditions.

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Hydraulic characteristics and incubation methods for enhancing durability of Fungi- Mycelium treated silica sand using Rhizopus oligosporus and Rhizopus oryzae combination

Lim,

Sunaryo,

Wijaya

et al. 2024

Biogeotechnics

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Dynamic shear modulus and damping of lightweight sand-mycelium soil

Cited by 6 publications

References 48 publications

Improving the Physical and Mechanical Properties of Mycelium-Based Green Composites Using Paper Waste

Improving the Physical and Mechanical Properties of Mycelium-Based Green Composites Using Paper Waste

Prediction of Normalized Shear Modulus and Damping Ratio for Granular Soils Over a Wide Strain Range Using Deep Neural Network Modelling

Hydraulic characteristics and incubation methods for enhancing durability of Fungi- Mycelium treated silica sand using Rhizopus oligosporus and Rhizopus oryzae combination

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