Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022A Reliability and Risk Framework to Support Pit Slope Designcitations

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Chart of shared publication
Bixley, Mark
1 / 1 shared
Whittall, John
1 / 1 shared
Hodgkinson, Jane H.
1 / 5 shared
Juldz, Abai
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Wessels, Fanie
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Hassall, Maureen
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Marinoni, Oswald
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Creighton, Ashley
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Wines, David
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Chart of publication period
2022

Co-Authors (by relevance)

  • Bixley, Mark
  • Whittall, John
  • Hodgkinson, Jane H.
  • Juldz, Abai
  • Wessels, Fanie
  • Hassall, Maureen
  • Marinoni, Oswald
  • Creighton, Ashley
  • Wines, David
OrganizationsLocationPeople

document

A Reliability and Risk Framework to Support Pit Slope Design

  • Bixley, Mark
  • Whittall, John
  • Kinakin, Derek
  • Hodgkinson, Jane H.
  • Juldz, Abai
  • Wessels, Fanie
  • Hassall, Maureen
  • Marinoni, Oswald
  • Creighton, Ashley
  • Wines, David
Abstract

There is considerable uncertainty associated with pit slope design. Traditionally, uncertainty and risk have been managed via application of Design Acceptance Criteria (DAC) such as Factor of Safety determined from industry accepted guidance. Often there is little formal consideration or quantification of the uncertainty or reliability of the design, the reliability of design delivery, design risk and the effectiveness of the controls necessary to manage these risks. Sub-optimum designs can result in valuable ore being left in the ground and/or slope failures that can pose a significant risk to mining operations in terms of economic and safety risk with the potential for loss of life. Clear and effective communication of these factors to senior management and/or regulators can also be challenging.This paper provides an overview of research undertaken to develop an alternative approach to achieving a design that utilizes rigorous engineering-based assessment of risk and reward. This Reliability Based Design Acceptance Criteria (RBDAC) approach to pit slope design was derived from developing and testing prototype reliability and risk management methodologies. The assessed design reliability and risk rating are used to assess an appropriate Design Acceptance Criteria via a RBDAC matrix.The proposed RBDAC approach to open pit slope design provides an opportunity to capitalise on the latent value, in terms of cash flow and/or NPV through slope optimisation analyses that involve understanding the residual risk implications.

Topics
  • impedance spectroscopy