scholarly journals Principal Conditions and Geochemical Trends in Formation of High-grade Bauxite Deposits, Republic of Guinea

2019 ◽  
Vol 98 ◽  
pp. 01035 ◽  
Author(s):  
Vladimir Mamedov ◽  
Alexey Chausov ◽  
Marina Makarova
Keyword(s):  
High Grade ◽  
Model Input ◽  
Republic Of Guinea ◽  
Input And Output

Conditions and principal geochemical trends in the formation of bauxite-bearing lateritic mantles are considered on the example of Fouta Djalon-Mandingo Bauxite-bearing Province as the best natural model. Input and output dynamics of petrogenic components was calculated on the isovolumetric base and the obtained data were used to interpret the zoned structure of weathered profile as resulting from its hydrogeological and gas regimes. Although Al separates from Fe in the formation of bauxite horizon, three-valence iron is a typomorphic element of the lateritic landscape as a whole, with 50% Al leaching from lateritic mantle.

scholarly journals Supplemental Material: Thermodynamic limits for assimilation of silicate crust in primitive magmas

2021 ◽  
Author(s):  
Jussi S. Heinonen ◽  
et al.
Keyword(s):  
Model Parameters ◽  
Model Input ◽  
Input And Output ◽  
Thermodynamic Limits

Supplemental discussion on the MCS model parameters, and all model input and output.<br>

An Ontology-Based Approach for Simplified FMU Variable Connections With Automatic Verification of Semantically Correct Configuration

2020 ◽  
Author(s):  
Håvard Nordahl ◽  
Martin Rindarøy ◽  
Stian Skjong ◽  
Lars T. Kyllingstad ◽  
Dirk Walther ◽  
...  
Keyword(s):  
Simulation Model ◽  
Automatic Verification ◽  
Maritime Industry ◽  
Model Input ◽  
Input And Output ◽  
Digital Twins

Abstract Simulation is increasingly used as an engineering tool in the maritime industry. Currently, there is a particular focus on digital twins, where a supplier of equipment should also supply a simulation model of the equipment. Today, the person configuring the simulator must manually connect all required signals between these models, interpreting the meaning of each signal name to determine which signal can be connected together (e.g., connecting “pressure out” to “pressure in”, while ensuring that their units match). This is a tedious and error-prone process. In this paper, we present a method for automatically connecting variables of different models while complying with the FMI standard in co-simulations. This also includes a method for unit conversions. The methods for both automatic connections and unit conversions are based on ontologies. The key idea is to build an ontology, based on existing ontologies, which enables structuring model input and output variables into groups and hierarchies, and assign them a defined type. This enables reasoning about connections between models, and simplifies the model connections. The focus in this paper is to present the ontology, how FMI interface signals can be connected to the ontology, and how this can be used to simplify model connections.

Sign in / Sign up

Export Citation Format

Share Document