Zhu Mao 
- (2021): Spatiotemporal Deep Learning for Bridge Response Forecasting. In: Journal of Structural Engineering (ASCE), v. 147, n. 6 (Juni 2021).
- (2021): Deep wavelet sequence-based gated recurrent units for the prognosis of rotating machinery. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).
- (2013): Damage assessment with state–space embedding strategy and singular value decomposition under stochastic excitation. In: Structural Health Monitoring, v. 13, n. 2 (Dezember 2013).
- (2016): A Bayesian recursive framework for ball-bearing damage classification in rotating machinery. In: Structural Health Monitoring, v. 15, n. 6 (August 2016).
- (2020): Dynamic Characteristics Identification of an Arch Dam Model via the Phase-Based Video Processing. In: KSCE Journal of Civil Engineering, v. 25, n. 1 (Oktober 2020).
- (2020): Research on work efficiency and light comfort based on EEG evaluation method. In: Building and Environment, v. 183 (Oktober 2020).
- (2020): People's subjective and physiological responses to the combined thermal-acoustic environments. In: Building and Environment, v. 172 (April 2020).
- (2017): Structural damage diagnosis with uncertainties quantified using interval analysis. In: Structural Control and Health Monitoring, v. 24, n. 10 (Oktober 2017).
- (2014): Analytical uncertainty quantification for modal frequencies with structural parameter uncertainty using a Gaussian process metamodel. In: Engineering Structures, v. 75 (September 2014).
- (2016): Damage detection using transient trajectories in phase-space with extended random decrement technique under non-stationary excitations. In: Smart Materials and Structures, v. 25, n. 11 (November 2016).
- (2014): Localization of nonlinear damage using state-space-based predictions under stochastic excitation. In: Smart Materials and Structures, v. 23, n. 2 (Februar 2014).
Structurae kooperiert mit
