Reprint

Novel Approaches for Structural Health Monitoring

Edited by
November 2021
344 pages
  • ISBN978-3-0365-2404-7 (Hardback)
  • ISBN978-3-0365-2405-4 (PDF)

This book is a reprint of the Special Issue Novel Approaches for Structural Health Monitoring that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

The thirty-plus years of progress in the field of structural health monitoring (SHM) have left a paramount impact on our everyday lives. Be it for the monitoring of fixed- and rotary-wing aircrafts, for the preservation of the cultural and architectural heritage, or for the predictive maintenance of long-span bridges or wind farms, SHM has shaped the framework of many engineering fields. Given the current state of quantitative and principled methodologies, it is nowadays possible to rapidly and consistently evaluate the structural safety of industrial machines, modern concrete buildings, historical masonry complexes, etc., to test their capability and to serve their intended purpose. However, old unsolved problematics as well as new challenges exist. Furthermore, unprecedented conditions, such as stricter safety requirements and ageing civil infrastructure, pose new challenges for confrontation. Therefore, this Special Issue gathers the main contributions of academics and practitioners in civil, aerospace, and mechanical engineering to provide a common ground for structural health monitoring in dealing with old and new aspects of this ever-growing research field.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
dynamic characteristic; GB-RAR; super high-rise building; displacement; wheel flat; real-time monitoring; strain distribution characteristics; multisensor array; precise positioning; noncontact remote sensing (NRS); optical flow algorithm; structural health monitoring (SHM); uniaxial automatic cruise acquisition device; noise robustness; sensitivity analysis; cross-modal strain energy; damage detection; subspace system identification; data-driven stochastic subspace identification (SSI-DATA); covariance-driven stochastic subspace identification (SSI-COV); combined subspace system identification; PRISMA; damage detection; vibration-based damage detection; crack damage detection; piezoelectric impedance; piezoelectric admittance; peak frequency; Bayesian inference; uncertainty quantification; masonry structures; seismic structural health monitoring; Bouc–Wen model; model calibration; hysteretic system identification; BOTDR; CFRP sheet; un-bonded position; cover delamination; interfacial de-bonding; monitoring system; pipeline; health and structural integrity; Particle Impact Damper; adaptive-passive damping; damping of vibrations; experiments; submerged floating tunnel; deep neural network; machine learning; sensor optimization; failure monitoring accuracy; mooring line; sigmoid function; Adamax; categorical cross-entropy; bending test; bridge; “compression–softening” theory; frequency; inverse problem; nondestructive testing (NDT) method; prestressed concrete (PC) girder; prestress force determination; prestress loss; vertical deflection measurement; rail; guided wave ultrasound; broken rail detection; rail diagnostics; structural health monitoring; non destructive testing; shape sensing; inverse Finite Element Method; structural health monitoring; inverse problem; fiber optics; full-field reconstruction; Structural Health Monitoring; machine learning; damage detection; extreme function theory; non-destructive testing; extreme value theory; generalised extreme distribution; n/a