Abstract Physic-Informed Neural Networks (PINN) has attracted extensive attention in recent
years. This method can use partial differential equations (PDE) or boundary value problems …

The point load test is an effective and rapid way to predict rock strength. Regarding the
investigation of point load strength and the failure characteristics of rock, the point load test's …

The uniaxial compressive strength (UCS) of the rock is one of the most important design
parameters in various engineering applications. Therefore, the UCS requires to be either …

This study investigates the applicability of four distinct machine learning (ML) models–
Random Forest (RF), Relevance Vector Machine (RVM), Support Vector Machine (SVM) …

Rock socketed cast in-situ bored pile has getting more common in the local foundation
industry due to high load carrying capacity to support the increasingly large superstructure …

For the effective comminution and subsequent enrichment of mineral ores, comprehensive
knowledge of their mineralogical and physical properties is required. Using an integrated …

Point load index strength of rock samples is a simple method to estimate the compressive
strength of the rock and has been studied by a host of researchers in terms of linear …

Melanges are chaotic and heterogeneous geological mixtures of strong rock blocks
embedded in a weaker finer-grained matrix. These complex formations, often referred to as" …

A series of experimental tests were carried out to study and assessment of the geotechnical
properties of the Fatha formation rocks in the Zurbatiyah region in eastern Iraq, the physical …

Unconfined compressive strength (UCS) equally represented as geomechanical strength
remains a critical mechanical property in the successful implementation of key technologies …