Viscoelastic Compression Behavior and Model Characterization of Alfalfa Blocks Under Different Conditions

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Authors: Jiawen Hu, Qi Fu, Hongxu Xing, Xiucheng Yang, Yang Li, Jun Fu
Cited by: 1
References: 26

Abstract

Alfalfa is a high-quality forage crop whose viscoelastic properties strongly influence the performance of baling, pickup, and stacking operations. In this study, small alfalfa block specimens were tested using a universal testing machine to investigate stress relaxation and creep behaviors under different moisture contents (12%, 15%, 18%), densities (100, 150, 200 kg/m3), and maximum compressive stresses (8, 12, 16 kPa). Experimental data were fitted using viscoelastic models for parameter analysis. Results indicated that the relaxation response consisted of a rapid attenuation followed by a slow stabilization phase. The five-element Maxwell model achieved a higher fitting accuracy (coefficient of determination, R2 > 0.997) than the three-element model. The creep process exhibited three stages, including instantaneous elastic deformation, decelerated creep, and steady-state deformation, and it was accurately represented by the five-element Kelvin model (R2 > 0.998). Increasing moisture content reduced stiffness, while moderate moisture improved viscosity and shape retention. Higher density enhanced blocks compactness, stiffness, and damping characteristics, resulting in smaller deformation. The viscoelastic response to compressive stress showed moderate enhancement followed by attenuation under overload, with the best recovery and deformation resistance observed at 12 kPa. These findings elucidate the viscoelastic behavior of alfalfa blocks and provide theoretical support and engineering guidance for evaluating bale stability and optimizing pickup–clamping parameters.

Fields of Study & Subjects

Agricultural Engineering and Mechanization Tree Root and Stability Studies Soil Mechanics and Vehicle Dynamics

Publication details

Journal / source
Agriculture
Publisher
MDPI AG
Volume
16
Issue
1
Pages
119–119
Publication date
2 January 2026
Language
EN