Xiaodan Sun
- Ground-motion simulations using two-dimensional convolution condition adversarial neural network(2D-cGAN). In: Soil Dynamics and Earthquake Engineering, v. 178 (März 2024). (2024):
- Use of Mechanical Contractors Association of America Method in Loss of Productivity Claims. In: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, v. 8, n. 4 (November 2016). (2016):
- Weather’s Effect on Construction Labor Productivity. In: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, v. 9, n. 2 (Mai 2017). (2017):
- Visualizing Skipped and Out-of-Sequence Work. In: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, v. 9, n. 4 (November 2017). (2017):
- Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring. In: Structural Health Monitoring, v. 12, n. 1 (September 2012). (2012):
- Improvements of corner frequency and scaling factor for stochastic finite-fault modeling. In: Earthquake Engineering and Engineering Vibration, v. 9, n. 4 (Dezember 2010). (2010):
- improved energy-based approach for selecting pulse-like ground motions. In: Earthquake Engineering and Structural Dynamics, v. 45, n. 14 (November 2016). (2016):
- An empirical approach of accounting for the amplification effects induced by near-fault directivity. In: Bulletin of Earthquake Engineering, v. 16, n. 5 (November 2017). (2017):