TY  - BOOK
AU  - He,Manchao
AU  - Wang,LiGe
AU  - Yao,Wei
AU  - Dang,Wengang
AU  - Wang,Zhuo
ED  - SpringerLink (Online service)
TI  - AI for Rock Dynamics
SN  - 9789819653423
AV  - TA706-706.5 
U1  - 624.1513 23
PY  - 2025///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Rock mechanics
KW  - Soil mechanics
KW  - Civil engineering
KW  - Engineering geology
KW  - Materials science
KW  - Geotechnical engineering
KW  - Soil and Rock Mechanics
KW  - Civil Engineering
KW  - Geoengineering
KW  - Materials Science
KW  - Geotechnical Engineering and Applied Earth Sciences
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-981-96-5342-3
ER  -