The triaxial load response of grain

A b s t r a c t. Static stress of granular materials stored in silos is important for the security of materials during storage. Janssen equation was commonly used to calculate the static stress of grains in silos, but later researchers found the equation underestimated loads in storage bins. In this paper, the modified Cam-clay model was applied to study the stress distribution of wheat piles at four moisture levels, stored in a circular flat bottom silo, at different grain depth and radius of silos. The results showed that as the grains depth increased, the vertical stress of wheat piles increased except the wall-bottom of silos, and the lateral stress increased except the center of silos near bin bottom. Moreover, it was found that as the radius increased, the vertical stress of wheat piles decreased at the same depth and moisture content, and the lateral stress decreased but increased near the bin bottom in the same case. When the mean stress of a layer of grains were observed, it was found that the lateral stress was negatively correlated with moisture content when the vertical stress had no concern with it at the same grain depth and all of them approached the maximum at the same moisture content.K e y w o r d s: stress distribution, wheat pile, silo, modified Cam-clay model, finite element method

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“…The critical state ratio M was determined by the axial compression tests (Rooda and Haaker, 1977;Smith, 1981).…”

Section: Methodsmentioning

confidence: 99%

Simulation of static stress distribution of wheat piles in silos by the modified Cam-clay model

Gao

Cheng

Hu³

et al. 2019

Int. Agrophys.

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“…The results showed that the internal friction angle decreased with the increase of the volume density. In addition, a strength model was established based on 36 sets of triaxial tests under different combinations of wheat hardness, moisture content, and density, which explained the curvature change of the molar strength envelope [ 16 , 17 ]. In the triaxial test, different confining pressures can be considered to simulate the mechanical properties of wheat in different storage locations, and the mechanical properties of wheat in different initial states can be obtained by considering different void ratios.…”

Section: Application Of Nondestructive Testing With Sensor Technolmentioning

confidence: 99%

Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data

Tian

Zhang²,

Tian

2020

Journal of Analytical Methods in Chemistry

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Nondestructive testing with sensor technology is one of the fastest growing and most promising wheat quality information analysis technologies. Nondestructive testing with sensor technology benefits from the latest achievement of many disciplines such as computer, optics, mathematics, chemistry, and chemometrics. It has the advantages of simplicity, speed, low cost, no pollution, and no contact. It is widely used in wheat quality analysis and testing research. This article summarizes nondestructive testing with sensor technology for wheat quality, including the mechanical model, hyperspectral technology, Raman spectroscopy, and near-infrared techniques for wheat mechanical properties, storage properties, and physical and chemical properties (such as moisture, ash, protein, and starch) in the past decade. Based on the current research progress, big data technology needs a lot of research in spectral data mining, modeling algorithm optimization, model robustness, etc. to provide more data support and method reference for the research and application of wheat quality.

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Triaxial testing of dry, cohesive powder and its application to a modified Cam-clay constitutive model

et al. 1994

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The triaxial load response of grain

Cited by 3 publications

References 12 publications

Simulation of static stress distribution of wheat piles in silos by the modified Cam-clay model

Simulation of static stress distribution of wheat piles in silos by the modified Cam-clay model

Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data

Triaxial testing of dry, cohesive powder and its application to a modified Cam-clay constitutive model

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