CALL FOR BOOK CHAPTERS

Dear Colleagues:

We are pleased to announce that we have organized a Special Book Volume to be published by Walter de Gruyter GmbH Publisher, Germany, entitled:

Data-Centric Structural Health Monitoring

Mechanical, Aerospace, and Complex Infrastructure Systems


Following is the list of Editors:


Professor Mohammad Noori, California Polytechnic State University, USA


Professor Fuh-Gwo Yuan, North Carolina State University, USA


Dr. Ehsan Noroozinejad Farsangi, The University of British Columbia, Canada

On behalf of all Editors, we would like to invite you to contribute a chapter to this Special Book Volume. Please note:

Proposal Submission Deadline: 30 September 2022

Notification of Acceptance: 05 October 2022

Full Chapter Submission Deadline: 30 December 2022

Peer Review Results Returned: 15 January 2023

Final Chapter Submission Due to Editors: 15 February 2023

Target Book Release: March/April 2023

This book is published as part of a New Book Series titled: Data-Centric Engineering, which has just been established by De Gruyter. The Editors of this proposed book are the Founding Editors of the new series.

Should you receive this invitation, we would appreciate it if you could submit a one-page chapter proposal that explains how the proposal fits the scope and the goal of the book described broadly in the Title. Please direct any inquiries to Prof. Noori, Prof. Yuan and Dr. Noroozinejad at:

mnoori@calpoly.edu; yuan@ncsu.edu; ehsan.noroozinejad@ubc.ca


The book will cover the following topics, but are not limited to:


  • Data-Centric Engineering

  • IoT, IoD, AI, AR, …

  • Structural Health Monitoring (SHM)

  • Piezoelectric Transducers

  • Smart Materials & Structures

  • Thermal and/or Mechanical Stresses

  • Damage Mechanisms

  • Novel SHM systems and data transmission

  • Application of smart SHM systems on structures/infrastructures

  • Innovative Non-Destructive Testing (NDT)

  • Damage detection and health monitoring of historical structures

  • New smart composites, devices and systems for damage detection and weigh in motion (WIM)

  • Advances on monitoring technologies and methodologies for rapid post-earthquake damage assessment of structures

  • Novel monitoring techniques

  • Computational methods for smart damage identification

  • Case studies about smart SHM systems and characterization algorithms

  • Novel materials and devices for vehicle traffic assessment and monitoring of roads

  • Measuring techniques for condition monitoring;

  • Reliability analysis and design;

  • Resilience-based analysis and design;

  • Signal processing of measured data;

  • Feature extraction of measured data;

  • Fault diagnosis for prognosis and health management (PHM);

  • Degradation modeling of measured data;;

  • Measurement error analysis;

  • RUL prediction method based on intelligent algorithms;

  • Maintenance strategy optimization;

  • Fault-detecting method for infrastructure (cracks, deformation, leakages, etc.)

  • Data-driven computing

  • Machine learning

  • Computational methods of modeling faults

  • Fault-induced safety assessment of infrastructure

  • Disaster prevention

  • etc.