[HTML][HTML] Indirect evaluation of the influence of rock boulders in blasting to the geohazard: Unearthing geologic insights fused with tree seed based LSTM algorithm
Effective control of blasting outcomes depends on a thorough understanding of rock geology
and the integration of geological characteristics with blast design parameters. This study …
and the integration of geological characteristics with blast design parameters. This study …
Fragility analysis of high arch dam against far-field underwater blast
X Pan, G Wang, W Lu, Z Qi, M Chen, P Yan - Engineering Structures, 2024 - Elsevier
The security assessment of high arch dams is a significant topic that has been researched in
recent years. It is troublesome to develop a security assessment for high arch dams under …
recent years. It is troublesome to develop a security assessment for high arch dams under …
Mean block size prediction in rock blast fragmentation using TPE-tree-based model approach with SHapley Additive exPlanations
The optimum fragmentation size measures the quality of a blasting operation. Boulders or
large fragments can result in more costs because they need secondary blasting, while small …
large fragments can result in more costs because they need secondary blasting, while small …
Assessment of the uniaxial compressive strength of intact rocks: An extended comparison between machine and advanced machine learning models
Rock strength is the most deterministic parameter for studying geological disasters in
resource development and underground engineering construction. However, the …
resource development and underground engineering construction. However, the …
Effective carbon footprint assessment strategy in fly ash geopolymer concrete based on adaptive boosting learning techniques
In light of the growing need to mitigate climate change impacts, this study presents an
innovative methodology combining ensemble machine learning with experimental data to …
innovative methodology combining ensemble machine learning with experimental data to …
A Multilayer Dig-Limit Approach for Reducing Ore and Profit Losses in an Open-Pit Mine Having Complex Orebody
Rock fragment movement during blasting operations is a major cause of ore and profit
losses in hard rock open-pit mines having a complex-orebody. To address this issue, a …
losses in hard rock open-pit mines having a complex-orebody. To address this issue, a …
[HTML][HTML] Indirect hazard evaluation by the prediction of backbreak distance in the open pit mine using support vector regression and chicken swarm optimization
Backbreak is one of the undesirable phenomena in open-pit mines and causes several
adverse hazards, such as lanslide, rock falling off and bench instability. Backbreak is …
adverse hazards, such as lanslide, rock falling off and bench instability. Backbreak is …
A comprehensive study on the application of soft computing methods in predicting and evaluating rock fragmentation in an opencast mining
The prediction of rock fragmentation (Fr) is highly beneficial to the optimization of blasting
operations in the mining industry. The characteristics of the rock mass, the blast geometry …
operations in the mining industry. The characteristics of the rock mass, the blast geometry …
Optimization of an Artificial Neural Network Using Four Novel Metaheuristic Algorithms for the Prediction of Rock Fragmentation in Mine Blasting
Rock fragmentation is a critical process in mining operations, with blasting being one of the
most common and effective methods employed to achieve the desired results. The primary …
most common and effective methods employed to achieve the desired results. The primary …
Machine-Learning-Aided Blasted Muckpile Analysis: Prospects for Reducing Ore and Profit Losses Through Developing Blast Techniques
Limited progress in understanding blast mechanisms has led to significant discrepancies
between the outcomes of existing blasting simulation techniques and actual blasting results …
between the outcomes of existing blasting simulation techniques and actual blasting results …