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AI for rock dynamics

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI for rock dynamicsby Manchao He ... [et al.].
other author:	He, Manchao.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvi, 518 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Rock mechanics.
Online resource:	https://doi.org/10.1007/978-981-96-5342-3
ISBN:	9789819653423$q(electronic bk.)

AI for rock dynamics
AI for rock dynamics[electronic resource] /by Manchao He ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvi, 518 p. :ill. (chiefly col.), digital ;24 cm.

Introduction -- Theoretical basis of rock dynamics -- Rock dynamics test device and test technique -- Rock dynamic properties -- Propagation characteristics of stress wave in rock -- Rockburst dynamics and engineering protection -- Key techniques for numerical simulation of rock dynamics -- Engineering applications in rock dynamics -- Conclusions.

Open access.

This Open Access book covers various aspects in rock dynamics comprehensively, such as theoretical foundations, testing techniques, dynamic properties, stress wave propagation, rockburst dynamics, numerical simulation, and engineering applications. AI for Rock Dynamics is a groundbreaking Open Access monograph that redefines publishing through Luffa AI, a China-developed large language model (LLM). Set to captivate at the London Book Fair 2025, it marks a transformative milestone in rock mechanics and beyond. Covering theoretical foundations, testing instruments, numerical simulation, and engineering applications, it's an essential resource for professionals in civil engineering, mining, and geology alike. Its clear presentation, illustrations, and practical insights make it pivotal for tackling rock mechanics challenges. Unique for its homegrown LLM, it showcases Chinese AI's potential to advance research. As China's first LLM-powered book, it revolutionizes knowledge production, organization, and dissemination. This landmark was achieved through a strategic partnership between CNPIEC Kexin Technology, CSRME, and Springer Nature, unprecedentedly integrating cutting-edge technology, academic expertise, and global publishing prominence. Published as Open Access, it democratizes knowledge, fostering collaboration and innovation. The first of its kind signifies AI's potential to transform publishing, streamlining content creation and enhancing dissemination. AI for Rock Dynamics is a beacon of progress, uniting technology and academia to push knowledge boundaries with concerted efforts. Please Join us in celebrating this historic achievement and witness the dawn of AI-powered publishing.

ISBN: 9789819653423$q(electronic bk.)

Standard No.: 10.1007/978-981-96-5342-3doiSubjects--Topical Terms:

196251
Rock mechanics.

LC Class. No.: TA706

Dewey Class. No.: 624.15132028563

AI for rock dynamics
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245 0 0 $a AI for rock dynamics $h [electronic resource] / $c by Manchao He ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xvi, 518 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
505 0 $a Introduction -- Theoretical basis of rock dynamics -- Rock dynamics test device and test technique -- Rock dynamic properties -- Propagation characteristics of stress wave in rock -- Rockburst dynamics and engineering protection -- Key techniques for numerical simulation of rock dynamics -- Engineering applications in rock dynamics -- Conclusions.
506 $a Open access.
520 $a This Open Access book covers various aspects in rock dynamics comprehensively, such as theoretical foundations, testing techniques, dynamic properties, stress wave propagation, rockburst dynamics, numerical simulation, and engineering applications. AI for Rock Dynamics is a groundbreaking Open Access monograph that redefines publishing through Luffa AI, a China-developed large language model (LLM). Set to captivate at the London Book Fair 2025, it marks a transformative milestone in rock mechanics and beyond. Covering theoretical foundations, testing instruments, numerical simulation, and engineering applications, it's an essential resource for professionals in civil engineering, mining, and geology alike. Its clear presentation, illustrations, and practical insights make it pivotal for tackling rock mechanics challenges. Unique for its homegrown LLM, it showcases Chinese AI's potential to advance research. As China's first LLM-powered book, it revolutionizes knowledge production, organization, and dissemination. This landmark was achieved through a strategic partnership between CNPIEC Kexin Technology, CSRME, and Springer Nature, unprecedentedly integrating cutting-edge technology, academic expertise, and global publishing prominence. Published as Open Access, it democratizes knowledge, fostering collaboration and innovation. The first of its kind signifies AI's potential to transform publishing, streamlining content creation and enhancing dissemination. AI for Rock Dynamics is a beacon of progress, uniting technology and academia to push knowledge boundaries with concerted efforts. Please Join us in celebrating this historic achievement and witness the dawn of AI-powered publishing.
650 0 $a Rock mechanics. $3 196251
650 0 $a Artificial intelligence $x Geophysical applications. $3 719469
650 1 4 $a Soil and Rock Mechanics. $3 919624
650 2 4 $a Civil Engineering. $3 273741
650 2 4 $a Geoengineering. $3 913449
650 2 4 $a Materials Science. $3 273697
650 2 4 $a Geotechnical Engineering and Applied Earth Sciences. $3 913450
700 1 $a He, Manchao. $3 861567
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