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dc.contributor.authorHe, Manchao
dc.contributor.authorWang, LiGe
dc.contributor.authorYao, Wei
dc.contributor.authorDang, Wengang
dc.contributor.authorWang, Zhuo
dc.date.accessioned2025-08-13T10:19:45Z
dc.date.available2025-08-13T10:19:45Z
dc.date.issued2025
dc.identifierONIX_20250813T121456_9789819653423_41
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/105464
dc.description.abstractThis 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNC Structural engineering::TNCC Soil and rock mechanics
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNC Structural engineering
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
dc.subject.classificationthema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences
dc.subject.otherRock Dynamics
dc.subject.otherDynamic Damage Mechanics
dc.subject.otherFracture Mechanics
dc.subject.otherWave Propagation
dc.subject.otherEngineering Protection
dc.subject.otherNumerical Simulation
dc.subject.otherDisaster Prevention
dc.titleAI for Rock Dynamics
dc.typebook
oapen.identifier.doi10.1007/978-981-96-5342-3
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy219cc0eb-31a9-46a1-a50f-c2d756c7fec1
oapen.relation.isbn9789819653423
oapen.relation.isbn9789819653416
oapen.imprintSpringer Nature Singapore
oapen.pages518
oapen.place.publicationSingapore
oapen.grant.number[...]


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