Neural network approach based on a bilevel optimization for the prediction of underground blast-induced ground vibration amplitudes-Reference-Cited by-同舟云学术

Neural network approach based on a bilevel optimization for the prediction of underground blast-induced ground vibration amplitudes

Published:2019-02-27 Issue:10 Volume:32 Page:5975-5987
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Paneiro Gustavo^ORCID,Durão Fernando O.,Costa e Silva Matilde^ORCID,Bernardo Pedro A.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-019-04083-2/fulltext.html

Reference46 articles.

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2. Kumar R, Choudhury D, Bhargava K (2016) Determination of blast-induced ground vibration equations for rocks using mechanical and geological properties. JRMGE 8(3):341–349. https://doi.org/10.1016/j.jrmge.2015.10.009

3. Görgülü K, Arpaz E, Demirci A, Koçaslan A, Dilmaç MK, Yüksek AG (2013) Investigation of blast-induced ground vibrations in the Tülü boron open pit mine. Bull Eng Geol Environ 72(3–4):555–564. https://doi.org/10.1007/s10064-013-0521-4

4. Wu YK, Hao H, Zhou YX, Chong K (1998) Propagation characteristics of blast induced shock waves in a jointed rock mass. Soil Dyn Earthq Eng 17(6):407–412. https://doi.org/10.1016/S0267-7261(98)00030-X

5. Hao H, Wu Y, Ma G, Zhou Y (2001) Characteristics of surface ground motions induced by blasts in jointed rock mass. Soil Dyn Earthq Eng 21(2):85–98. https://doi.org/10.1016/S0267-7261(00)00104-4

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