05342nam 2201285z- 450 991055735960332120231214133003.0(CKB)5400000000042296(oapen)https://directory.doabooks.org/handle/20.500.12854/77001(EXLCZ)99540000000004229620202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierNovel Approaches for Structural Health MonitoringBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (344 p.)3-0365-2404-5 3-0365-2405-3 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 issuesbicsscdynamic characteristicGB-RARsuper high-rise buildingdisplacementwheel flatreal-time monitoringstrain distribution characteristicsmultisensor arrayprecise positioningnoncontact remote sensing (NRS)optical flow algorithmstructural health monitoring (SHM)uniaxial automatic cruise acquisition devicenoise robustnesssensitivity analysiscross-modal strain energydamage detectionsubspace system identificationdata-driven stochastic subspace identification (SSI-DATA)covariance-driven stochastic subspace identification (SSI-COV)combined subspace system identificationPRISMAvibration-based damage detectioncrack damage detectionpiezoelectric impedancepiezoelectric admittancepeak frequencyBayesian inferenceuncertainty quantificationmasonry structuresseismic structural health monitoringBouc-Wen modelmodel calibrationhysteretic system identificationBOTDRCFRP sheetun-bonded positioncover delaminationinterfacial de-bondingmonitoring systempipelinehealth and structural integrityParticle Impact Damperadaptive-passive dampingdamping of vibrationsexperimentssubmerged floating tunneldeep neural networkmachine learningsensor optimizationfailure monitoring accuracymooring linesigmoid functionAdamaxcategorical cross-entropybending testbridge"compression-softening" theoryfrequencyinverse problemnondestructive testing (NDT) methodprestressed concrete (PC) girderprestress force determinationprestress lossvertical deflection measurementrailguided wave ultrasoundbroken rail detectionrail diagnosticsstructural health monitoringnon destructive testingshape sensinginverse Finite Element Methodfiber opticsfull-field reconstructionStructural Health Monitoringextreme function theorynon-destructive testingextreme value theorygeneralised extreme distributionTechnology: general issuesSurace Ceciliaedt760234Surace CeciliaothBOOK9910557359603321Novel Approaches for Structural Health Monitoring3033304UNINA