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Palabras clave – provistas por la editorial

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