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Xudong Fan
Xudong Fan
Postdoctoral Researcher, Princeton University
Verified email at princeton.edu
Title
Cited by
Cited by
Year
PSO-SVM-based deep displacement prediction of Majiagou landslide considering the deformation hysteresis effect
L Zhang, B Shi, H Zhu, XB Yu, H Han, X Fan
Landslides 18, 179-193, 2021
852021
A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants
S Zhong, J Hu, X Fan, X Yu, H Zhang
Journal of hazardous materials 383, 121141, 2020
852020
Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors
X Fan, X Wang, X Zhang, XB Yu
Reliability Engineering & System Safety 219, 108185, 2022
742022
Machine learning model and strategy for fast and accurate detection of leaks in water supply network
X Fan, X Zhang, XB Yu
Journal of Infrastructure Preservation and Resilience 2, 1-21, 2021
472021
Study on the behaviors of fungi-concrete surface interactions and theoretical assessment of its potentials for durable concrete with fungal-mediated self-healing
X Zhang, X Fan, M Li, A Samia, XB Yu
Journal of Cleaner Production 292, 125870, 2021
402021
Naturally grown mycelium-composite as sustainable building insulation materials
X Zhang, J Hu, X Fan, X Yu
Journal of Cleaner Production 342, 130784, 2022
392022
A generalized predictive model for TiO2–Catalyzed photo-degradation rate constants of water contaminants through artificial neural network
Z Jiang, J Hu, X Zhang, Y Zhao, X Fan, S Zhong, H Zhang, X Yu
Environmental Research 187, 109697, 2020
322020
An innovative machine learning based framework for water distribution network leakage detection and localization
X Fan, X Yu
Structural Health Monitoring 21 (4), 1626-1644, 2022
212022
Uncertainty quantification of a deep learning model for failure rate prediction of water distribution networks
X Fan, X Zhang, XB Yu
Reliability Engineering & System Safety 236, 109088, 2023
152023
Framework for seismic damage and renewal cost analysis of buried water pipelines
RK Mazumder, X Fan, AM Salman, Y Li, X Yu
Journal of Pipeline Systems Engineering and Practice 11 (4), 04020038, 2020
152020
A graph convolution network‐deep reinforcement learning model for resilient water distribution network repair decisions
X Fan, X Zhang, X Yu
Computer‐Aided Civil and Infrastructure Engineering 37 (12), 1547-1565, 2022
142022
Novel strategies to grow natural fibers with improved thermal stability and fire resistance
X Zhang, X Fan, C Han, Y Li, E Price, G Wnek, YTT Liao, XB Yu
Journal of Cleaner Production 320, 128729, 2021
112021
Behaviors of expansive soils mixed with polymeric stabilizing foams
X Zhang, X Yu, Y Guo, X Fan
Eighth International Conference on Case Histories in Geotechnical …, 2019
92019
Improving soil surface erosion resistance by fungal mycelium
X Zhang, X Fan, C Han, C Wang, X Yu
Geo-Congress 2020, 523-531, 2020
72020
A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses
J Tang, H Lin, X Fan, X Yu, Q Lu
Frontiers in public health 10, 1023176, 2022
62022
A novel method to improve the soil erosion resistance with fungi
X Zhang, X Fan, C Wang, X Yu
Acta Geotechnica 18 (5), 2827-2845, 2023
52023
Assessment of the impacts of climat change on water supply system pipe failures
X Fan, X Zhang, A Yu, M Speitel, X Yu
Scientific Reports 13 (1), 7349, 2023
32023
A deep reinforcement learning model for resilient road network recovery under earthquake or flooding hazards
X Fan, X Zhang, X Wang, X Yu
Journal of Infrastructure Preservation and Resilience 4 (1), 8, 2023
32023
Machine learning-assisted optimal schedule of underground water pipe inspection
X Fan, X Yu
Journal of Infrastructure Preservation and Resilience 4 (1), 20, 2023
22023
Use of an artificial neural network model for estimation of unfrozen water content in frozen soils
J Ren, X Fan, X Yu, S Vanapalli, S Zhang
Canadian Geotechnical Journal 60 (8), 1234-1248, 2023
22023
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