State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
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 …
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 …
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 …
methods not only has a stable structure but can also effectively reduce environmental …
Prediction of flyrock distance in surface mining using a novel hybrid model of harris hawks optimization with multi-strategies-based support vector regression
To weaken and control effectively the harm of flyrock in open-pit mines, this study aimed to
develop a novel Harris hawks optimization with multi-strategies-based support vector …
develop a novel Harris hawks optimization with multi-strategies-based support vector …
[HTML][HTML] Decision tree models for the estimation of geo-polymer concrete compressive strength
J Zhou, Z Su, S Hosseini, Q Tian, Y Lu… - Mathematical …, 2024 - aimspress.com
The green concretes industry benefits from utilizing gel to replace parts of the cement in
concretes. However, measuring the compressive strength of geo-polymer concretes …
concretes. However, measuring the compressive strength of geo-polymer concretes …
Mechanical framework for geopolymer gels construction: an optimized LSTM technique to predict compressive strength of fly ash-based geopolymer gels concrete
As an environmentally responsible alternative to conventional concrete, geopolymer
concrete recycles previously used resources to prepare the cementitious component of the …
concrete recycles previously used resources to prepare the cementitious component of the …
A reliability-based rock engineering system for clean blasting: risk analysis and dust emissions forecasting
Experts are increasingly interested in incorporating environmental and climate action into all
projects. Mining projects face a broader range of environmental concerns. Since most mines …
projects. Mining projects face a broader range of environmental concerns. Since most mines …
Extension of reliability information of Z-numbers and fuzzy cognitive map: Development of causality-weighted rock engineering system to predict and risk assessment …
Blasting operations in surface mines have the primary purpose of fragmenting the rock mass
into a size that is optimal and economically viable for the mine. This ideal size has an impact …
into a size that is optimal and economically viable for the mine. This ideal size has an impact …
ICA-LightGBM Algorithm for Predicting Compressive Strength of Geo-Polymer Concrete
The main goal of the present study is to investigate the capability of hybridizing the
imperialist competitive algorithm (ICA) with an intelligent, robust, and data-driven technique …
imperialist competitive algorithm (ICA) with an intelligent, robust, and data-driven technique …