Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Technology: general issues --- 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 --- 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 --- fiber optics --- full-field reconstruction --- Structural Health Monitoring --- extreme function theory --- non-destructive testing --- extreme value theory --- generalised extreme distribution --- 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 --- 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 --- fiber optics --- full-field reconstruction --- Structural Health Monitoring --- extreme function theory --- non-destructive testing --- extreme value theory --- generalised extreme distribution

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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 --- 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 --- fiber optics --- full-field reconstruction --- Structural Health Monitoring --- extreme function theory --- non-destructive testing --- extreme value theory --- generalised extreme distribution --- n/a --- Bouc-Wen model --- "compression-softening" theory

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In the past, when elements in sructures were composed of perishable materials, such as wood, the maintenance of houses, bridges, etc., was considered of vital importance for their safe use and to preserve their efficiency. With the advent of materials such as reinforced concrete and steel, given their relatively long useful life, periodic and constant maintenance has often been considered a secondary concern. When it was realized that even for structures fabricated with these materials that the useful life has an end and that it was being approached, planning maintenance became an important and non-negligible aspect. Thus, the concept of structural health monitoring (SHM) was introduced, designed, and implemented as a multidisciplinary method. Computational mechanics, static and dynamic analysis of structures, electronics, sensors, and, recently, the Internet of Things (IoT) and artificial intelligence (AI) are required, but it is also important to consider new materials, especially those with intrinsic self-diagnosis characteristics, and to use measurement and survey methods typical of modern geomatics, such as satellite surveys and highly sophisticated laser tools.

structural health monitoring --- jointless bridge --- high-speed railway --- bearing --- expansion device --- displacement analysis --- structural reliability estimation --- modal identification --- finite element model updating --- cyber-physical systems --- crowdsourcing --- temperature effects --- time-lag effect --- Fourier series expansion --- box-girder bridges --- structural engineering --- overall deformation monitoring --- perspective transformation --- edge detection --- close-range photogrammetry --- railway embankment --- condition assessment --- ground penetrating radar --- multi-attribute utility theory --- laser scanner --- line scanner --- structure monitoring --- deformation --- dynamic measurements --- scan-to-BIM --- point cloud --- HBIM --- FEM --- Rhinoceros --- terrestrial laser scanner (TLS) --- ground-based real aperture radar (GB-RAR) --- vibration frequency --- spectral analysis --- displacement --- structural health monitoring (SHM) --- vibration-based damage detection --- system identification --- subspace system identification (SSI) --- tie rod --- natural frequencies --- mode shapes --- root-mean-square error (RMSE) --- environmental monitoring --- long-range mapping --- MMS --- sub-millimetric EDM geodetic techniques --- damage detection --- damage localization --- hybrid approach --- neural network --- timber bridges --- stress-laminated timber decks --- monitoring --- humidity-temperature sensors --- wood moisture content --- multi-phase models --- finite element method --- moving load identification --- strain influence line --- load transverse distribution --- strain integral coefficient --- identification error --- n/a