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Landslides are a common natural hazard which causes great losses to life and properties every year. Along with earthquakes, tsunamis, volcanic eruptions, cyclones, wildfires and floods, landslides are among the greatest natural disasters and one of the major causes of loss of life. In many countries of the world, landslides are the most important catastrophic phenomena in terms of damage (Papathoma, Zischg, Fuchs, Glade, & Keiler, 2015) (Glade, Stark, & Dikau, 2005) (Mertens et al., 2016) (Glass, 2013) (Colkesen, Sahin, & Kavzoglu, 2016) (Highland & Bobrowsky, 2008). Slope movements do not need to be large to be destructive and as a phenomenon can occur almost everywhere in the world (Romer & Ferentinou, 2016) (Guo, Sun, Lai, Lu, & Li, 2016) (Peruccacci, et al., 2017) (Xu, Coop, Maosheng, & Genlong, 2017) (Persichillo, Bordoni, Cavalli, Crema, & Meisina, 2018) (Peng, et al., 2017) (Lv, Liu, & Yang, 2017), both in natural and artificial slopes and this is primarily due to the different mechanisms of landslide triggering and activation (Highland & Bobrowsky, 2008) (Hunt, 2007) (Landslide Types and Processes, 2004) (Varnes, 1978) (Lee & Evangelista, 2006) (Gariano & Guzzetti, 2016). Considering that although a material in an old landslide moved and balanced in a new position, it is still sensitive and can easily slide again onto the same slip surface (Dewitte & Demoulin, 2005), it is imperative one comprehend and emphasize on the research stage of monitoring active landslides, (Bozzano, Cipriani, Mazzanti, & Prestininzi, 2014) as the development of landslide early warning systems decreases social impacts, financial and environmental cost (Nicu, 2017) (Poonam, et al., 2017) (Uhlemann, et al., 2015). According to the aforementioned, current paper presents a study on micro-crack behavior in a landslide simulation by using a physical model. Physical models are an effective way to comprehend the triggering mechanisms, failure potentials as well as the behavior of soil slope stability influenced by the increase of slope angle in a small scale (Li, et al., 2016). Aiming at mitigating the destructiveness of future landslides, small scale landslide experiments have been used by various researchers (Eckersley, 1990) (Guymer & Spence, 1997) (Wang & Sassa, 2001) (Wang & Shibata, 2007) (Take, Bolton, Wong, & Yeung JF, 2004) (Deangeli, 2008) (Roche, Attali, Mangeney, & Lucas, 2011). What is presented in the current study is an initial approach including the recognition of micro-crack imprint, at a simulation level, as precursor activity, in order to draw some initial conclusions about their frequency and energy content that will help in further stages of research.