Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Environmental Issues of Blasting = A...
~
Azizi, Aydin.
Environmental Issues of Blasting = Applications of Artificial Intelligence Techniques /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Environmental Issues of Blasting/ by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi.
Reminder of title:
Applications of Artificial Intelligence Techniques /
Author:
Bhatawdekar, Ramesh M.
other author:
Armaghani, Danial Jahed.
Description:
IX, 77 p. 9 illus., 8 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Geophysics. -
Online resource:
https://doi.org/10.1007/978-981-16-8237-7
ISBN:
9789811682377
Environmental Issues of Blasting = Applications of Artificial Intelligence Techniques /
Bhatawdekar, Ramesh M.
Environmental Issues of Blasting
Applications of Artificial Intelligence Techniques /[electronic resource] :by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi. - 1st ed. 2021. - IX, 77 p. 9 illus., 8 illus. in color.online resource. - SpringerBriefs in Applied Sciences and Technology,2191-5318. - SpringerBriefs in Applied Sciences and Technology,.
1. An Overview of Blasting Operations and Possible Techniques to Solve Environmental Issues of Blasting -- 2. Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blasting -- 3. Applications of AI and ML Techniques to Predict Back-Break and Flyrock Distance Resulting from Blasting -- 4. Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques.
This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.
ISBN: 9789811682377
Standard No.: 10.1007/978-981-16-8237-7doiSubjects--Topical Terms:
686174
Geophysics.
LC Class. No.: QC801-809
Dewey Class. No.: 550
Environmental Issues of Blasting = Applications of Artificial Intelligence Techniques /
LDR
:02751nam a22003975i 4500
001
1059634
003
DE-He213
005
20220112011429.0
007
cr nn 008mamaa
008
220414s2021 si | s |||| 0|eng d
020
$a
9789811682377
$9
978-981-16-8237-7
024
7
$a
10.1007/978-981-16-8237-7
$2
doi
035
$a
978-981-16-8237-7
050
4
$a
QC801-809
072
7
$a
PHVG
$2
bicssc
072
7
$a
SCI032000
$2
bisacsh
072
7
$a
PHVG
$2
thema
082
0 4
$a
550
$2
23
100
1
$a
Bhatawdekar, Ramesh M.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1366418
245
1 0
$a
Environmental Issues of Blasting
$h
[electronic resource] :
$b
Applications of Artificial Intelligence Techniques /
$c
by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi.
250
$a
1st ed. 2021.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
IX, 77 p. 9 illus., 8 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
SpringerBriefs in Applied Sciences and Technology,
$x
2191-5318
505
0
$a
1. An Overview of Blasting Operations and Possible Techniques to Solve Environmental Issues of Blasting -- 2. Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blasting -- 3. Applications of AI and ML Techniques to Predict Back-Break and Flyrock Distance Resulting from Blasting -- 4. Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques.
520
$a
This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.
650
0
$a
Geophysics.
$3
686174
650
0
$a
Engineering geology.
$3
558458
650
0
$a
Machine learning.
$3
561253
650
0
$a
Environmental management.
$3
557131
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Geotechnical engineering.
$3
1024219
650
2 4
$a
Geoengineering.
$3
1365755
650
2 4
$a
Machine Learning.
$3
1137723
650
2 4
$a
Environmental Management.
$3
593900
650
2 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Geotechnical Engineering and Applied Earth Sciences.
$3
1366420
700
1
$a
Armaghani, Danial Jahed.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1366419
700
1
$a
Azizi, Aydin.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1302660
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811682360
776
0 8
$i
Printed edition:
$z
9789811682384
830
0
$a
SpringerBriefs in Applied Sciences and Technology,
$x
2191-530X
$3
1253575
856
4 0
$u
https://doi.org/10.1007/978-981-16-8237-7
912
$a
ZDB-2-PHA
912
$a
ZDB-2-SXP
950
$a
Physics and Astronomy (SpringerNature-11651)
950
$a
Physics and Astronomy (R0) (SpringerNature-43715)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login