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 --- n/a --- Bouc-Wen model --- "compression-softening" theory

Choose an application

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

The intense development of novel data-driven and hybrid methods for structural health monitoring (SHM) has been demonstrated by field deployments on large-scale systems, including transport, wind energy, and building infrastructure. The actionability of SHM as an essential resource for life-cycle and resilience management is heavily dependent on the advent of low-cost and easily deployable sensors Nonetheless, in optimizing these deployments, a number of open issues remain with respect to the sensing side. These are associated with the type, configuration, and eventual processing of the information acquired from these sensors to deliver continuous behavioral signatures of the monitored structures. This book discusses the latest advances in the field of sensor networks for SHM. The focus lies both in active research on the theoretical foundations of optimally deploying and operating sensor networks and in those technological developments that might designate the next generation of sensing solutions targeted for SHM. The included contributions span the complete SHM information chain, from sensor design to configuration, data interpretation, and triggering of reactive action. The featured papers published in this Special Issue offer an overview of the state of the art and further proceed to introduce novel methods and tools. Particular attention is given to the treatment of uncertainty, which inherently describes the sensed information and the behavior of monitored systems.

Technology: general issues --- probabilistic data-interpretation --- Bayesian model updating --- error-domain model falsification --- iterative asset-management --- practical applicability --- computation time --- swarm-based parallel control (SPC) --- Internet of Things (IoT) --- soil–structure interaction (SSI) --- semi-active control --- adjacent buildings --- Bayesian inference --- model updating --- modal identification --- structural dynamics --- bridges --- sensor placement optimisation --- structural health monitoring --- damage identification --- mutual information --- evolutionary optimisation --- inertial sensor fusion --- instrumented particle --- MEMS --- sediment entrainment --- sensor calibration --- frequency of entrainment --- varying environmental and operational conditions --- damage detection and localization --- Gaussian process regression --- autoregressive with exogenous inputs --- distributed sensor network --- mode shape curvatures --- n/a --- soil-structure interaction (SSI)

Choose an application

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

Aerial robots with perception, navigation, and manipulation capabilities are extending the range of applications of drones, allowing the integration of different sensor devices and robotic manipulators to perform inspection and maintenance operations on infrastructures such as power lines, bridges, viaducts, or walls, involving typically physical interactions on flight. New research and technological challenges arise from applications demanding the benefits of aerial robots, particularly in outdoor environments. This book collects eleven papers from different research groups from Spain, Croatia, Italy, Japan, the USA, the Netherlands, and Denmark, focused on the design, development, and experimental validation of methods and technologies for inspection and maintenance using aerial robots.

aerial manipulation --- dual arm --- compliance --- Cartesian manipulator --- hexa-rotor --- multirotor UAV --- translational driving system --- magnetic field navigation --- parallel conductors --- transmission lines --- unmanned aerial vehicles --- inspection and maintenance --- power lines --- arial manipulation --- multirotor systems --- high-voltage power lines --- clip-type bird flight diverters --- aerial robotics --- multirotor control --- inspection --- maintenance --- UAV --- aerial robotic manipulation --- viaduct --- LIDAR --- photogrammetry --- contact --- Structural Health Monitoring --- Unmanned Aircraft System --- drone --- damage detection --- electropermanent magnet --- B-spline impulse response function --- Dynamic Signature Response --- force control --- bilateral teleoperation --- haptics --- quadrotor --- mosquitoes’ control --- drones --- drone regulation --- unmanned aircraft systems (UAS) --- U-space --- SORA methodology --- sterile insect technique (SIT) --- n/a --- mosquitoes' control

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.

Medicine --- 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 --- 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

Choose an application

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

Composites have increasingly been used in various structural components in the aerospace, marine, automotive, and wind energy sectors. The material characterization of composites is a vital part of the product development and production process. Physical, mechanical, and chemical characterization helps developers to further their understanding of products and materials, thus ensuring quality control. Achieving an in-depth understanding and consequent improvement of the general performance of these materials, however, still requires complex material modeling and simulation tools, which are often multiscale and encompass multiphysics. This Special Issue aims to solicit papers concerning promising, recent developments in composite modeling, simulation, and characterization, in both design and manufacturing areas, including experimental as well as industrial-scale case studies. All submitted manuscripts will undergo a rigorous review process and will only be considered for publication if they meet journal standards. Selected top articles may have their processing charges waived at the recommendation of reviewers and the Guest Editor.

Research & information: general --- structural dynamics --- composite plastics --- stiffness --- damping --- fiber orientation --- ODF --- viscoelasticity --- geopolymer concrete --- fly-ash --- bottom-ash --- freeze-thaw --- leachability --- non-destructive test --- TCLP --- RFT --- fiber matrix interface --- finite element analysis --- characterization --- composite --- measurements --- testing --- structural monitoring --- flax-epoxy composite --- interlaminar fracture energy --- fracture toughness --- delamination --- Mode I --- Mode II and Mixed-mode I-II interlaminar fracture --- critical energy release rate --- machine learning --- mould filling simulations --- composite materials --- liquid moulding --- lattice cell structures --- InsideBCC --- equivalent solid properties --- three-dimensional printing --- nacre --- hexagonal tablets --- analytical model --- finite element simulations --- Abaqus --- fused filament fabrication --- PLA --- bamboo --- mechanical strength --- damage detection --- laminated composite plates --- modal analysis --- curvature mode shape --- strain energy --- structural dynamics --- composite plastics --- stiffness --- damping --- fiber orientation --- ODF --- viscoelasticity --- geopolymer concrete --- fly-ash --- bottom-ash --- freeze-thaw --- leachability --- non-destructive test --- TCLP --- RFT --- fiber matrix interface --- finite element analysis --- characterization --- composite --- measurements --- testing --- structural monitoring --- flax-epoxy composite --- interlaminar fracture energy --- fracture toughness --- delamination --- Mode I --- Mode II and Mixed-mode I-II interlaminar fracture --- critical energy release rate --- machine learning --- mould filling simulations --- composite materials --- liquid moulding --- lattice cell structures --- InsideBCC --- equivalent solid properties --- three-dimensional printing --- nacre --- hexagonal tablets --- analytical model --- finite element simulations --- Abaqus --- fused filament fabrication --- PLA --- bamboo --- mechanical strength --- damage detection --- laminated composite plates --- modal analysis --- curvature mode shape --- strain energy