Optimizing blast design and bench geometry is crucial for enhancing the safety, efficiency, and sustainability of open-pit mining operations. This study examines the effects of blast design and bench geometry adjustments on bench slope stability through numerical modelling under static and dynamic loading conditions. Extensive data on rock mass, blast design parameters, and geomechanical properties were analyzed to assess these optimizations. Results indicate that reducing the bench height from 12 to 5 m improves the shear reduction factor (SRF) by 43.78%, while decreasing the bench face angle (BFA) from 90° to 60° enhances the SRF by 17.12%, demonstrating increased stability. Conversely, increasing the overall slope angle from 27.5° to 36.5° improves productivity by 57.14% but reduces the SRF by 17.12%, highlighting the trade-off between stability and extraction efficiency. Optimal conditions balancing stability and productivity were identified with a bench height of 7.5 m, a BFA of 75°, and a bench width of 14 m, yielding an SRF of 1.31 under static conditions and 1.16 under dynamic conditions. Simulations of blast dynamics revealed that the bench blast velocity decreased from 63.18 cm/s at a radial distance of 13 m to 23.99 cm/s at 18.5 m, indicating significant attenuation in particle motion over distance. Blast-induced ground vibrations (BIGV) were also evaluated, with notable peak particle acceleration near the blast zone. The study recommends a powder factor range of 0.31-0.51 kg/m and a peak particle velocity (PPV) threshold of 30-40 cm/s to optimize blast design while ensuring operational safety. These findings provide critical insights for enhancing stability and productivity in large-scale open-pit limestone mining operations.
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http://dx.doi.org/10.1038/s41598-025-90242-6 | DOI Listing |
Materials (Basel)
February 2025
Architectural Design and Research Institute of HIT, Harbin Institute of Technology, Harbin 150090, China.
High temperature treatment is a typical detrimental situation that may significantly influence the compressive strength of cement-based materials. It was reported that the incorporation of common waste materials as supplementary cementitious materials (SCMs) can improve high temperature resistance. In this work, fly ash (FA), granulated blast-furnace slag (GGBFS), and silica fume (SF) were used as SCMs to replace cement to produce green cement-based materials.
View Article and Find Full Text PDFClin Chem Lab Med
March 2025
CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic.
Objectives: Risk-based stratification approaches using measurable residual disease (MRD) successfully help to identify T-acute lymphoblastic leukemia (T-ALL) patients at risk of relapse, whose treatment outcomes are very poor. Because of T-ALL heterogeneity and rarity, a reliable and standardized approach for flow cytometry (FC)-based MRD measurement and analysis is often missing.
Methods: Within the international AIEOP-BFM-ALL-FLOW study group we made a consensus on markers and a standard operating procedure for common 8- and 12-color T-ALL MRD panels.
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated proteins (Cas) systems have revolutionized genome editing by providing high precision and versatility. However, most genome editing applications rely on a limited number of well-characterized Cas9 and Cas12 variants, constraining the potential for broader genome engineering applications. In this study, we extensively explored Cas9 and Cas12 proteins and developed CasGen, a novel transformer-based deep generative model with margin-based latent space regularization to enhance the quality of newly generative Cas9 and Cas12 proteins.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
March 2025
Institute of Geotechnical and Underground Engineering, School of Civil Engineering & Hydraulics, Huazhong University of Science and Technology, 318 6th Building of the West, Wuhan, 430074, China.
This research investigates the application of machine learning techniques for predicting unconfined compressive strength (UCS) and contaminant leachability in dredged contaminated sediments (DCS) with implications for land reclamation projects. Traditionally, determining these parameters has been challenging, costly, and time-consuming, hindering efficient project planning and execution. Therefore, this study evaluated the efficacy of two machine learning models, namely extreme gradient boosting (XGBoost) and decision tree (DT), in improving prediction accuracy and reducing the need for resource-intensive testing procedures.
View Article and Find Full Text PDFEmerg Radiol
March 2025
Department of Internal Medicine, Wollo University, Dessie, Ethiopia.
Background: Head injuries pose a major global health issue, especially among young adults in developing countries. Data on head trauma patterns in conflict situations is scarce, and computed tomography (CT) is the main imaging method for evaluating acute head injuries.
Objectives: This study aimed to assess the CT scan patterns of traumatic head injury among northern Ethiopian victims of war who were treated at the University of Gondar Comprehensive Specialized Hospital during the armed conflict in 2020 and 2021.
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