- Cross-sectional analysis of timber boards using convolutional long short_term memory neural networks. Dans: Construction and Building Materials, v. 451 (novembre 2024). (2024):
- Monitoring framework development for a network of multiple laboratory structures. Dans: Journal of Building Engineering, v. 92 (septembre 2024). (2024):
- Predicting out-of-plane bending strength of cross laminated timber: Finite element simulation and experimental validation of homogeneous and inhomogeneous CLT. Dans: Engineering Structures, v. 308 (juin 2024). (2024):
- Dynamic evaluation of a nine-storey timber-concrete hybrid building during construction. Dans: Engineering Structures, v. 289 (août 2023). (2023):
- Automatic estimation of annual ring profiles in Norway spruce timber boards using optical scanning and deep learning. Dans: Computers & Structures, v. 275 (janvier 2023). (2023):
- Long-term analysis of the environmental effects on the global dynamic properties of a hybrid timber-concrete building. Dans: Engineering Structures, v. 268 (octobre 2022). (2022):
- Determination of pith location along Norway spruce timber boards using one dimensional convolutional neural networks trained on virtual timber boards. Dans: Construction and Building Materials, v. 329 (avril 2022). (2022):
- Operational modal analysis and finite element model updating of a 230 m tall tower. Dans: Structures, v. 37 (mars 2022). (2022):
- A methodological approach towards evaluating structural damage severity using 1D CNNs. Dans: Structures, v. 34 (décembre 2021). (2021):
- Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks. Dans: Journal of Sound and Vibration, v. 388 (février 2017). (2017):
- A numerical and experimental investigation of a special type of floating-slab tracks. Dans: Engineering Structures, v. 215 (juillet 2020). (2020):
- (2018): Sensing and Monitoring for Stadium Structures: A Review of Recent Advances and a Forward Look. Dans: Frontiers in Built Environment, v. 3 (février 2018).
- Nonparametric Structural Damage Detection Algorithm for Ambient Vibration Response: Utilizing Artificial Neural Networks and Self-Organizing Maps. Dans: Journal of Architectural Engineering (ASCE), v. 22, n. 2 (juin 2016). (2016):
- Self-Organizing Maps for Structural Damage Detection: A Novel Unsupervised Vibration-Based Algorithm. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 30, n. 3 (juin 2016). (2016):
- Novel Framework for Vibration Serviceability Assessment of Stadium Grandstands Considering Durations of Vibrations. Dans: Journal of Structural Engineering (ASCE), v. 144, n. 2 (février 2018). (2018):