TY - JOUR ID - 2034 TI - Monte Carlo Simulation-Based Uncertainty Integration into Rock Particle Shape Descriptor Distributions JO - Journal of Mining and Environment JA - JME LA - en SN - 2251-8592 AU - Shah, K. Sultan AU - Mohd Hashim, M. H. Bin AU - Ariffin, K. Sh. Bin AD - School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, Malaysia Y1 - 2021 PY - 2021 VL - 12 IS - 2 SP - 299 EP - 311 KW - Sandstone KW - Sensitivity Analysis KW - tabletop microscope KW - ImageJ DO - 10.22044/jme.2021.10472.1997 N2 - The particles within the rock samples are present in extensive ranges of shapes and sizes, and their characterization and analysis exist with a considerable diversity. The prior research works have appraised the significance of the particle shape types and their effects on the geotechnical structures and deficiencies by evaluating the uncertainty-related rock particle shape descriptors (PSDs). In this work, the Monte Carlo simulation (MCS) is used in order to present a framework to integrate the inherent uncertainty associated with PSDs. A tabletop microscope is used to measure the primary particle shape distribution for the sandstone samples. An open-source processing tool, ImageJ, is used in order to analyze PSDs. The probabilistic distribution of PSDs is acquired using MCS according to the relative frequency histogram of the input parameters. Additionally, a probabilistic sensitivity analysis is performed in order to evaluate the importance of the input parameters in PSDs. The sensitivity analysis results demonstrate that the major axis and area are the most influential parameters involved. The simulation results obtained have revealed that the proposed framework is capable of integrating the inherent uncertainties related to the particle shape. UR - https://jme.shahroodut.ac.ir/article_2034.html L1 - https://jme.shahroodut.ac.ir/article_2034_d253242e59700c6d6565fc369a25214c.pdf ER -