1.

Record Nr.

UNINA9910520070103321

Autore

Bhatawdekar Ramesh M.

Titolo

Environmental Issues of Blasting : Applications of Artificial Intelligence Techniques / / by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021

ISBN

981-16-8237-2

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (83 pages)

Collana

SpringerBriefs in Applied Sciences and Technology, , 2191-5318

Disciplina

363.70028563

Soggetti

Geophysics

Engineering geology

Machine learning

Environmental management

Computational intelligence

Geotechnical engineering

Geoengineering

Machine Learning

Environmental Management

Computational Intelligence

Geotechnical Engineering and Applied Earth Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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.