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010   $a981-16-8237-2
024 7 $a10.1007/978-981-16-8237-7
035   $a(MiAaPQ)EBC6840231
035   $a(Au-PeEL)EBL6840231
035   $a(CKB)20443409900041
035   $a(OCoLC)1291314614
035   $a(PPN)262174340
035   $a(DE-He213)978-981-16-8237-7
035   $a(EXLCZ)9920443409900041
100   $a20220104d2021      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEnvironmental Issues of Blasting $eApplications of Artificial Intelligence Techniques /$fby Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (83 pages)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
311 08$aPrint version: Bhatawdekar, Ramesh M. Environmental Issues of Blasting Singapore : Springer Singapore Pte. Limited,c2022 9789811682360 
320   $aIncludes bibliographical references.
327   $a1. 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.
330   $aThis book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
606   $aGeophysics
606   $aEngineering geology
606   $aMachine learning
606   $aEnvironmental management
606   $aComputational intelligence
606   $aGeotechnical engineering
606   $aGeophysics
606   $aGeoengineering
606   $aMachine Learning
606   $aEnvironmental Management
606   $aComputational Intelligence
606   $aGeotechnical Engineering and Applied Earth Sciences
615  0$aGeophysics.
615  0$aEngineering geology.
615  0$aMachine learning.
615  0$aEnvironmental management.
615  0$aComputational intelligence.
615  0$aGeotechnical engineering.
615 14$aGeophysics.
615 24$aGeoengineering.
615 24$aMachine Learning.
615 24$aEnvironmental Management.
615 24$aComputational Intelligence.
615 24$aGeotechnical Engineering and Applied Earth Sciences.
676   $a363.70028563
700   $aBhatawdekar$b Ramesh M.$01075140
702   $aArmaghani$b Danial Jahed
702   $aAzizi$b Aydin
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910520070103321
996   $aEnvironmental issues of blasting$92910231
997   $aUNINA