Granular materials are omnipresent in natural and engineering systems, and the physics and mechanics of them are crucial for understanding geophysical flows, natural hazards, food processing, chemical engineering, and pharmaceutical engineering (Guyon et al., 2020;Lube et al., 2019). Granular materials can behave like a solid, a liquid, or a gas in different circumstances (MiDi, 2004), which increases the difficulty in capturing their macroscopic behavior. Besides, collective structures may form inside a granular system, and the existence and the size of such collective structures (such as bridging, Mehta, 2007; granular agglomerates, Vo, Mutabaruka, et al., 2020; and contact networks, Zhang et al., 2014) will introduce a strong size effect, which further increases the complexity of the problem. In recent decades, breakthroughs have been made to understand the basic governing principles, especially the constitutive relationships, of granular materials (Man & Hill, 2021;MiDi, 2004;Trulsson et al., 2012;, where the behavior of granular materials or granular-fluid mixtures is considered to be described by dimensionless numbers expressed as the ratio between dominating stresses. Even though geophysical flows are rarely dry, investigating dry granular materials is still considered as an important start for more complex systems.Due to the similarity and potential links between the collapse of granular columns and gravity-driven geophysical flows, previous research investigated the collapse of granular columns to analyze the postfailure behavior of granular systems (Lacaze & Kerswell, 2009;Thompson & Huppert, 2007). Lube et al. (2004) and Lajeunesse et al. (2005) independently determined relationships for both the normalized runout distance 𝐴𝐴 = (𝑅𝑅∞ − 𝑅𝑅𝑖𝑖)∕𝑅𝑅𝑖𝑖 (where R ∞ is the final radius of the granular pile, and R i the initial radius of the granular column), and the halt time of a collapsed granular column, which both scale with the initial aspect ratio, α = H i /R i (where H i is the initial height of the column), a parameter drawn out of dimensional analysis. Zenit (2005), Staron and