## 1 Introduction  
The mining sector holds paramount relevance and makes a substantial economic contribution in Brazil, positioning the country as the second-largest exporter of iron ore in 2022 [1]. The state of Minas Gerais (southeastern Brazil) hosts the most extensive iron ore deposits nationwide. Furthermore, this state is home to 37% of all of Brazil's dams, and among them, 33% were constructed with upstream methods after their initial embankment [2]. Recently, the world has been left impressed by two catastrophic incidents involving upstream dams in Brazil. These events, known as the Fundao disaster [3, 4] and the Brumadinho disaster [5], occurred within the state of Minas Gerais. Unfortunately, this state continues to deal with the precarious conditions of 56 structures at risk [6]. The studies by [PERSON] et al. [7] and [PERSON] et al. [8] indicated that the failures of these two tailing dams were triggered by flow liquefaction. Recent literature addressing tailing dam liquefaction further supports this perspective, emphasizing the large risks posedto both human safety and the environment [9; 10; 11]. Consequently, conducting thorough geotechnical investigations on tailing dams assumes critical importance. Laboratory tests can be employed for the characterization of tailing dams [12; 13]. However, tailing properties obtained from laboratory tests conducted on limited soil samples are typically unsuitable for effectively characterizing the in situ conditions at field scales. Moreover, laboratory tests are time-consuming, while much effort is required to collect undisturbed samples [14; 15]. As a result, most research relies on field experiments such as the seismic cone penetration test (SCPTu), which offers a combination of cone penetration test (CPT) data and shear wave velocity (V\({}_{\mathrm{s}}\)) profiles [16], enabling one to analyze the behavior of several soil types and evaluate their physical and mechanical properties [17]. This approach offers the advantage of enabling the estimation of multiple geotechnical parameters through measurements of key variables, including the cone tip resistance (q\({}_{\mathrm{t}}\)), lateral friction (f\({}_{\mathrm{s}}\)), pore pressure (u\({}_{2}\)), and V\({}_{\mathrm{s}}\). For instance, a useful geotechnical parameter derived from SCPTu tests is the small strain shear modulus (G\({}_{0}\)). The obtained V\({}_{\mathrm{s}}\) results facilitate geotechnical classifications and establish several valuable correlations [18; 19]. Furthermore, results from SCPTu tests can be used to assess liquefaction susceptibility in soils and tailings [20; 21; 22]. In contrast to conventional soils, mining tailings are of anthropogenic origin, exhibiting diverse characteristics influenced by mineral processing and by the tailing disposal method. This variety of factors contributes to the inherent heterogeneity of the material. Consequently, the interpretation of in situ tests, for instance, can be challenging due to the potential variation in drainage conditions throughout the depth of a containment structure. Classical soil mechanics offers established equations for deriving parameters of materials exhibiting either fully drained or undrained behavior under load [23]. Materials referred to as \"transitional\" possess intermediate permeability, necessitating ongoing investigations and monitoring [24]. This allows the enhancement of field test outcomes through the adjustment of the derived parameters. Several studies indicate that mining tailings are silly materials and present an intermediate permeability (\(10^{-5}\) m/s \(<\) k \(<\)\(10^{-8}\) m/s) in which standard cone penetration tests (v = 20 mm/s) are affected by partial drainage during penetration. This may induce errors in the prediction of soil parameters [25; 26; 27]. In a study by [PERSON], [PERSON] and [PERSON] [28; 29; 30], a classification methodology using the G\({}_{0}\)/q ratio was introduced for granular materials subject to liquefaction, along with drainage assessment.