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Dongjie Xue

Fractal Algorithm and Its Application in Rock Mechanics

Fractal Algorithm and Its Application in Rock Mechanics

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  • More about Fractal Algorithm and Its Application in Rock Mechanics


This book focuses on learning and adapting nonlinear geometry tool in rock engineering through fractal theories,hypotheses,algorithm,practical understandings,and case studies. It is motivated by recent advances in rock engineering in China and is an essential reference for researchers and organizations engaged in underground energy practices.

Format: Paperback / softback
Length: 181 pages
Publication date: 24 February 2023
Publisher: Springer Verlag, Singapore


This comprehensive book delves into the realm of learning and applying nonlinear geometry tools in rock engineering, utilizing fractal theories, hypotheses, algorithms, practical understandings, and case studies. Understanding self-similarity and self-affinity is a fundamental prerequisite for the fractal model in rock mechanics. The primary objective of this book is to serve as a guide for readers who aspire to comprehend and develop nonlinear models through fractal algorithms. Motivated by recent remarkable advancements in rock engineering in China, particularly the integration of fractal theory alongside percolation theory, this book emerges as an indispensable reference for the field. Chapters are meticulously crafted to cover (1) novel fractal algorithms and (2) five engineering cases. This authored book addresses the challenges associated with nonlinear behavior in rock engineering through a holistic and systematic approach that harnesses the power of fractal theory.

The book is designed for researchers and professionals engaged in rock and geological engineering, as well as organizations involved in underground energy practices. By presenting a comprehensive exploration of nonlinear geometry tools and their applications in rock engineering, this book offers valuable insights and practical knowledge to those seeking to advance their understanding and expertise in this field.

Weight: 302g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811697180
Edition number: 1st ed. 2022

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