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A Computational Model of Bio-Inspired Soft Network Materials for Analyzing Their Anisotropic Mechanical Properties
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Soft network materials constructed with horseshoe microstructures represent a class of bio-inspired synthetic materials that can be tailored precisely to match the nonlinear, J-shaped, stress–strain curves of human skins. ...
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: For many decades, experimental solid mechanics has played a crucial role in characterizing and understanding the mechanical properties of natural and novel artificial materials. Recent advances in machine learning (ML) ...