Analysis of different failure criteria to evaluate bauxite tailings mechanical behavior through numerical modelling

Bruschi, Giovani Jordi; Fante, Fernando; Araújo, Mariana Tonini de; Macedo, Gustavo Dias; Ruver, Cesar Alberto

doi:10.28927/sr.2021.053720

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…The MCC method is based on the critical state concept and is one of the most widely used methods and reliable constitutive models in use throughout the industry (Utomo et al 2009). However, a drawback to be noted is that the MCC method does produce conservative results when modelling overconsolidated clays (Bruschi et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Advanced numerical modelling for closure work assistance

Lines¹,

Llano-Serna²

2022

Mine Closure 2022: 15th Conference on Mine Closure

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An internal bund was constructed for surface water management during the progressive closure of a tailings storage facility in northern Australia. Shortly after construction, and coinciding with the wet season's onset, significant longitudinal cracking was observed during routine visual inspections. Initial investigations involved more detailed visual inspections and satellite survey imagery to construct a timeline of events. Following this, three survey prisms were installed. Deformation modelling was complete to ascertain the extent of the cracking and settlement to establish potential ongoing and future consequences. The deformation modelling was conducted using Optum G2 with the modified cam-clay constitutive model being implemented based on the critical state concept. Model properties were derived from existing laboratory testing and field trials.Preliminary modelling results were used to determine appropriate locations for the additional installation of six survey prisms at critical locations anticipated to experience significant movement. Furthermore, vertical settlement recorded via survey prisms was utilised for model calibration and identification of the leading deformation mechanisms. Following calibration, the model was used to predict future settlement and to model several water management scenarios, such as incorporating potential decant pond increases and varying pumping capacity limits. The numerical model was instrumental in informing a management strategy for the closure works.The case study described herein shows how the use of numerical modelling as a tool was successfully employed to allow for more informed decision-making. This was accomplished by assessing the performance of geotechnical structures; in this case, the structure being an internal bund. Confidence in the numerical model was gained by calibrating results early during the deformation process and later using partial results for forward predictions.

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Section: Introductionmentioning

confidence: 99%

Advanced numerical modelling for closure work assistance

Lines¹,

Llano-Serna²

2022

Mine Closure 2022: 15th Conference on Mine Closure

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Leaching assessment of cemented bauxite tailings through wetting and drying cycles of durability test

Bruschi

Santos

Levandoski

et al. 2022

Environ Sci Pollut Res

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Social hotspots in the automotive industry’s aluminum value chains—combining primary and generic data

Luthin,

Knacksterdt,

Traverso

2024

Int J Life Cycle Assess

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Purpose The automotive industry and its suppliers have been facing increasing challenges in the sustainable sourcing of raw materials on environmental and social levels. To identify social risks in the value chain of aluminum in the automotive sector, this study aimed to examine how a generic hotspot analysis based on S-LCA can be conducted and support the reporting according to new legislative requirements such as the German Act on Corporate Due Diligence Obligations in Supply Chains. Methods This study investigated the social risks in the supply chains of two selected aluminum components of an aluminum company using a generic social hotspot analysis based on the UNEP Guidelines for Social Life Cycle Assessment of Products and Organizations 2020. The study employed the generic PSILCA© database and different additional indicators for the assessment. The UNEP Guidelines 2020 used in combination with the associated methodological sheets were beneficial in structuring the procedure within the social hotspot analysis. They gave the inexperienced user a guide, which led to the results presented in this work. Results and discussion A high number of social hotspots in upstream processes outside Europe across the different investigated indicators for both supply chains assessed were detected. Most social risks were identified in Guinea, as well as in a European and an Asian Country in the stakeholder categories “Workers” and “Local community.” Especially, the alloy element production in the Asian Country and the bauxite mining in Guinea showed an above-average number of social hotspots. The implementation of the work was associated with an enormous effort in information collection about the supply chains to be investigated and depended on the direct suppliers’ willingness to contribute. The need for a safe and supporting environment for suppliers to enhance transparency was identified. Conclusions Combining generic and company data to conduct a social hotspot assessment (e.g., using PSILCA©) to meet legislative requirements proved to be a suitable approach for complex supply chains such as the automotive one. Despite this, limitations of the PSILCA© database and potential for improvement were acknowledged regarding industry-wide social assessments of supply chains. Additionally, the study serves as an application example of the UNEP Guidelines 2020 and the activity variables for science in practice. Further development and standardization of social indicators and activity variables for impact measurement were identified as a research priority.

show abstract

Analysis of different failure criteria to evaluate bauxite tailings mechanical behavior through numerical modelling

Cited by 6 publications

References 13 publications

Advanced numerical modelling for closure work assistance

Advanced numerical modelling for closure work assistance

Leaching assessment of cemented bauxite tailings through wetting and drying cycles of durability test

Social hotspots in the automotive industry’s aluminum value chains—combining primary and generic data

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