The Bio-inspired X-Structure/Mechanism Approach for Exploring Nonlinear Benefits in Engineering: Part IV-Energy Harvesting and Sensors with X-Structures

Xingjian Jing

Jul 2025 · Springer Nature

Ebook

358

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About this ebook

This book introduces a novel approach to designing and analyzing beneficial nonlinearity, which plays a crucial role in engineering systems and cannot be overlooked in structural design, dynamic response analysis, and parameter selection. It systematically addresses the key issue of how to analyze and design potential nonlinearities, whether introduced or inherent in a system under study. This task is essential in many practical applications, including vibration control, energy harvesting, sensor systems, and robotics. The book provides an up-to-date summary of the latest developments in a cutting-edge method for manipulating and employing nonlinearity, known as the X-shaped structure or mechanism approach. Inspired by animal leg/limb skeletons, this method offers passive, low-cost, high-efficiency adjustable beneficial nonlinear stiffness (high static & ultra-low dynamic), nonlinear damping (dependent on resonant frequency and vibration excitation amplitude), and nonlinear inertia (low static & high dynamic), either individually or simultaneously. The X-shaped structure or mechanism represents a class of beneficial geometric nonlinearity with flexible linkage mechanisms or structural designs in various forms (quadrilateral, diamond, polygon, K/Z/S/V-shape, or others). These forms share similar geometric nonlinearity and nonlinear stiffness/damping properties, making them flexible in design and easy to implement. The book series systematically review the research background, motivation, essential bio-inspired ideas, advantages of this novel method, beneficial nonlinear properties in stiffness, damping, and inertia, and potential applications developed since 2010, and particularly focuses in this book on innovative applications of the X-structure/mechanism method in energy harvesting and sensor systems.

About the author

Prof. Xingjian Jing received his B.S. degree from Zhejiang University, China, M.S. degree and Ph.D. degree in Robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, China, respectively. He also achieved a Ph.D. degree in nonlinear systems and signal processing from University of Sheffield, U.K.. He is now a Professor with the Department of Mechanical Engineering, City University of Hong Kong, and his current research interests are generally related to Nonlinear Dynamics, Vibration, Control and Robots, focusing on theory and methods for employing nonlinear benefits in engineering, including nonlinear frequency domain methods, nonlinear system identification or signal processing, vibration control, robust control, sensor technology, energy harvesting, nonlinear fault diagnosis or information processing, bio-inspired systems and methods, bio-inspired robotics and control etc. He is the recipient of a series of academic and professional awards including 2016 IEEE SMC Andrew P. Sage Best Transactions Paper Award, 2017 TechConnect World Innovation Award in US, 2017 EASD Senior Research Prize in Europe and 2017 the First Prize of HK Construction Industry Council Innovation Award. He has published more than 250 refereed journal papers and obtained 30+ patents filed in China and US. He currently serves or has served as Associate Editors for IEEE Transactions on Systems Man Cybernetics-Systems, IEEE Transactions on Industrial Electronics, and IEEE/ASME Transactions on Mechatronics, Senior Editor for Mechanical Systems and Signal Processing, Topic Associate Editor for Nonlinear Dynamics, Specialty Chief Editor on Vibration Systems of Frontiers in Mechanical Engineering and the founding EiC for Applied Nonlinear Dynamics and Vibrations. He was Lead Editor of special issues on ‘Exploring nonlinear benefits in engineering’ published in Mechanical Systems and Signal Processing in 2018/2019 and 2021/2022, and has been the General Chair of the International Conference on Applied Nonlinear Dynamics, Vibration, and Control since 2021.

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