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Fracture mechanism and dynamic compressive strength prediction of microwave-assisted stress wave magnetite blasting based on GA-LSTM

  • 01-01-2026
  • Original Paper
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Abstract

This article delves into the fracture mechanism of magnetite under the combined effects of microwave thermal stress and dynamic loading, with a focus on predicting dynamic compressive strength (DCS) using a GA-LSTM neural network model. The study reveals that microwave heating significantly increases the breaking efficiency of magnetite and reduces its DCS, with a strength change rate ranging from 19.95% to 56.67%. The particle size distribution of magnetite is generally reduced when the heating power (HP) reaches 1.5 kW, with notable needle rod and granular debris formation. Interestingly, HP is found to be more sensitive to breaking particle size compared to heating time (HT). The article also explores how microwave heating affects the P-wave velocity of magnetite, with both HP and HT leading to a decrease in velocity. The GA-LSTM model demonstrates high precision in predicting the DCS of magnetite, with a linear relationship between experimental and predicted values. The study concludes by validating the feasibility of using the GA-LSTM model for predicting the dynamic compressive strength of microwave-treated magnetite, providing a theoretical basis for further research and practical applications in the field.

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Title
Fracture mechanism and dynamic compressive strength prediction of microwave-assisted stress wave magnetite blasting based on GA-LSTM
Authors
Haikuan Sun
Deqing Gan
Zhiyi Liu
Zhenlin Xue
Publication date
01-01-2026
Publisher
Springer Berlin Heidelberg
Published in
Bulletin of Engineering Geology and the Environment / Issue 1/2026
Print ISSN: 1435-9529
Electronic ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-025-04711-3
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