Erik Eberhardt
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View article: Application of video surveillance in preclinical safety studies in canines: Understanding the interobserver reliability and validity to recognize clinical behavior
Application of video surveillance in preclinical safety studies in canines: Understanding the interobserver reliability and validity to recognize clinical behavior Open
Preclinical in vivo studies are critical to identify potential adverse effects of drugs under development. However, a significant number of drug candidates are terminated during human clinical trials due to unexpected adverse events which …
View article: Wet inrush susceptibility assessment at the Deep Ore Zone mine using a random forest machine learning model
Wet inrush susceptibility assessment at the Deep Ore Zone mine using a random forest machine learning model Open
In cave mines, wet inrushes occur when there is an uncontrolled inflow of fine, wet material from drawpoints. Currently, uncertainty exists regarding the spatial-temporal pattern and severity of inrush incidents. This uncertainty arises fr…
View article: The Copper Supply Gap
The Copper Supply Gap Open
Copper is a critical metal for electrification, and is witnessing a step-change in demand associated with the transition away from fossil fuels to clean energy and electric transportation systems. By 2030, a copper supply gap of ten millio…
View article: Statistical analysis of the impact of ore draw strategies on wet inrush hazard susceptibility in a panel cave mine
Statistical analysis of the impact of ore draw strategies on wet inrush hazard susceptibility in a panel cave mine Open
Inrush hazards involve a sudden inflow of material into an underground mine excavation. In a cave-mining setting, this typically involves high amounts of fine-grained material and water flowing from an extraction-level drawpoint. Operation…
View article: Reliability analysis of discrete fracture network projections from borehole to shaft scale discontinuity data
Reliability analysis of discrete fracture network projections from borehole to shaft scale discontinuity data Open
Discrete fracture network (DFN) models allow discontinuity data to be stochastically quantified and used to represent a jointed and faulted rock mass, providing a means to assess potential failure modes for a planned tunnel and the corresp…
View article: Data preparation for machine learning in rock engineering
Data preparation for machine learning in rock engineering Open
Digitalization in rock engineering has resulted in significant technological advancements and the increasing use of machine learning techniques. As rock engineering transitions into becoming more data-driven, machine learning can help rock…
View article: Impact of draw strategy on wet muck spill hazard severity at the Deep Ore Zone mine
Impact of draw strategy on wet muck spill hazard severity at the Deep Ore Zone mine Open
A wet muck spill is a sudden inflow of wet material into an underground mine excavation, typically from an extraction level drawpoint.Wet muck spills pose a major risk to personnel safety, assets (equipment and infrastructure) and producti…
View article: Development of a wet muck spill susceptibility tool for short-term prediction through a logistic regression approach
Development of a wet muck spill susceptibility tool for short-term prediction through a logistic regression approach Open
The Grasberg mining complex in Papua, Indonesia, consists of three caving operations and an open stope mine.Two of the caves, the Grasberg Block Cave (GBC) and the Deep Mill Level Zone (DMLZ), are ramping up to full production, while the D…
View article: Abutment loading in deep cave mines: towards understanding susceptibility to strainbursts
Abutment loading in deep cave mines: towards understanding susceptibility to strainbursts Open
Deep cave mining is an inevitable requirement to meet the growing global demand for valuable minerals such as copper and gold.The experiences from historical and current deep mining suggest that the rock masses encountered at depth are mor…
View article: Similarity Analysis of Discrete Fracture Networks
Similarity Analysis of Discrete Fracture Networks Open
Applications of Discrete Fracture Network (DFN) modeling are becoming increasingly prevalent in engineering analyses involving fractured rock masses. For example, kinematic evaluations of slope or underground excavation stability and the m…