Assessment of the ground vibration during blasting in mining projects using different computational approaches

S Hosseini, J Khatti, BO Taiwo, Y Fissha, KS Grover… - Scientific Reports, 2023 - nature.com
The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …

Towards designing durable sculptural elements: Ensemble learning in predicting compressive strength of fiber-reinforced nano-silica modified concrete

R Wang, J Zhang, Y Lu, J Huang - Buildings, 2024 - mdpi.com
Fiber-reinforced nano-silica concrete (FrRNSC) was applied to a concrete sculpture to
address the issue of brittle fracture, and the primary objective of this study was to explore the …

Data-driven optimized artificial neural network technique for prediction of flyrock induced by boulder blasting

X Wang, S Hosseini, D Jahed Armaghani… - Mathematics, 2023 - mdpi.com
One of the most undesirable consequences induced by blasting in open-pit mines and civil
activities is flyrock. Furthermore, the production of oversize boulders creates many problems …

Prediction of compressive strength of geopolymer concrete landscape design: Application of the novel hybrid RF–GWO–XGBoost algorithm

J Zhang, R Wang, Y Lu, J Huang - Buildings, 2024 - mdpi.com
Landscape geopolymer concrete (GePoCo) with environmentally friendly production
methods not only has a stable structure but can also effectively reduce environmental …

Mechanical framework for geopolymer gels construction: an optimized LSTM technique to predict compressive strength of fly ash-based geopolymer gels concrete

X Shi, S Chen, Q Wang, Y Lu, S Ren, J Huang - Gels, 2024 - mdpi.com
As an environmentally responsible alternative to conventional concrete, geopolymer
concrete recycles previously used resources to prepare the cementitious component of the …

Predicting grout's uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques

S Hosseini, S Entezam, B Jodeiri Shokri… - Neural Computing and …, 2024 - Springer
This study proposes a novel system for accurately predicting grout's uniaxial compressive
strength (UCS) in fully grouted rock bolting systems. To achieve this, a database comprising …

Optimized data-driven models for prediction of flyrock due to blasting in surface mines

X Ding, M Jamei, M Hasanipanah, RA Abdullah, BN Le - Sustainability, 2023 - mdpi.com
Using explosive material to fragment rock masses is a common and economical method in
surface mines. Nevertheless, this method can lead to some environmental problems in the …

[HTML][HTML] A comprehensive survey on machine learning applications for drilling and blasting in surface mining

V Munagala, S Thudumu, I Logothetis… - Machine Learning with …, 2024 - Elsevier
Drilling and blasting operations are pivotal for productivity and safety in hard rock surface
mining. These operations are restricted due to complexities such as site-specific …

Machine learning for open-pit mining: a systematic review

SQ Liu, L Liu, E Kozan, P Corry, M Masoud… - … Journal of Mining …, 2025 - Taylor & Francis
Nowadays, open-pit mining is the large-scale extraction of valuable ore materials from the
surface with the use of modern mining equipment. If not operated properly, various …

[HTML][HTML] Soft Computing Techniques to Model the Compressive Strength in Geo-Polymer Concrete: Approaches Based on an Adaptive Neuro-Fuzzy Inference System

Z Chang, X Shi, K Zheng, Y Lu, Y Deng, J Huang - Buildings, 2024 - mdpi.com
Media visual sculpture is a landscape element with high carbon emissions. To reduce
carbon emission in the process of creating and displaying visual art and structures (visual …