Modelling of blasting-induced air overpressure wave propagation under atmospheric conditions by using ANN model

Author:

Ozer Umit,Karadogan AbdulkadirORCID,Ozyurt Meric Can,Sertabipoglu Zeynep,Sahinoglu Ulku Kalayci

Funder

Executive Secretariat of Scientific Research Projects of Istanbul University-Cerrahpasa

Engineering Faculty Revolving Fund, Istanbul University

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference25 articles.

1. Aloui M, Bleuzen Y, Essefi E, Abbes C (2018) Evaluation of ground vibrations and the effect of air blast in open-pit phosphate mines. Arabian J of Geosciences 11:686. https://doi.org/10.1007/s12517-018-4025-1

2. Amiri M, Bakhshandeh Amnieh H, Hasanipanah M, Khanli LM (2016) A new combination of artificial neural network and K-nearest neighbours models to predict blast-induced ground vibration and air-overpressure. Eng Comput 32(4):631–644. https://doi.org/10.1007/s00366-016-0442-5

3. Gaopale K, Jamisola RS, Seitshiro I (2019) Air overpressure prediction in a blasting operation using artificial intelligence, BIUST research and innovation symposium (RDAIS 2019) Botswana International University of Science and Technology Palapye, Botswana, 4–7 June 2019 Page 88–93

4. Hasanipanah M, Jahed Armaghani D, Khamesi H, Bakhshandeh Amnieh H, Ghoraba S (2015) Several non-linear models in estimating air- overpressure resulting from mine blasting. Eng Comput 32(3):441–455. https://doi.org/10.1007/s00366-015-0425-y

5. Jahed Armaghani D, Hajihassani M, Marto A, Faradonbeh RS, Mohamad ET (2015a) Prediction of blast-induced air overpressure: a hybrid AI-based predictive model. Environ Monit Assess 187(666):1–13

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