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    Machine Learning Approach for Sequence Clustering with Applications to Ground-Motion Selection 

    Source: Journal of Engineering Mechanics:;2020:;Volume ( 146 ):;issue: 006
    Author(s): Ruiyang Zhang; Jerome Hajjar; Hao Sun
    Publisher: ASCE
    Abstract: Clustering analysis of sequential data is of great interest and importance in many science and engineering areas thanks to the explosive growth of time-series data. Effective methods, especially for sequence clustering, ...
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    Research on an Adaptive Threshold Setting Method for Aero-Engine Fault Detection Based on KDE-EWMA 

    Source: Journal of Aerospace Engineering:;2022:;Volume ( 035 ):;issue: 006:;page 04022087
    Author(s): Wanli Zhao; Yingqing Guo; Hao Sun
    Publisher: ASCE
    Abstract: It is challenging to set a precise threshold in fault detection and isolation, which helps in reducing false alarms and missed detection rates. In this paper, an adaptive threshold approach is developed for aero-engine ...
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    Physics-Informed Deep Learning for Computational Elastodynamics without Labeled Data 

    Source: Journal of Engineering Mechanics:;2021:;Volume ( 147 ):;issue: 008:;page 04021043-1
    Author(s): Chengping Rao; Hao Sun; Yang Liu
    Publisher: ASCE
    Abstract: Numerical methods such as finite element have been flourishing in the past decades for modeling solid mechanics problems via solving governing partial differential equations (PDEs). A salient aspect that distinguishes these ...
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    Spatiotemporal Deep Learning for Bridge Response Forecasting 

    Source: Journal of Structural Engineering:;2021:;Volume ( 147 ):;issue: 006:;page 04021070-1
    Author(s): Ruiyang Zhang; Libo Meng; Zhu Mao; Hao Sun
    Publisher: ASCE
    Abstract: Accurate prediction/forecasting of the future response of civil infrastructure plays an essential role in health monitoring and safety assessment. However, the complex latent dynamics within the field sensing measurements ...
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    Symbolic Deep Learning for Structural System Identification 

    Source: Journal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 009:;page 04022116
    Author(s): Zhao Chen; Yang Liu; Hao Sun
    Publisher: ASCE
    Abstract: Closed-form model expression is commonly required for parametric data assimilation (e.g., model updating, damage quantification, and so on). However, epistemic bias due to fixing the model class is a challenging issue ...
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    A Frequency-Based Ground Motion Clustering Approach for Data-Driven Surrogate Modeling of Bridges 

    Source: Journal of Engineering Mechanics:;2023:;Volume ( 149 ):;issue: 009:;page 04023069-1
    Author(s): Yuchen Liao; Ruiyang Zhang; Gang Wu; Hao Sun
    Publisher: ASCE
    Abstract: Machine learning–based methods, especially deep learning methods, have achieved great success in seismic response modeling due to their exceptional performance in capturing nonlinear features. However, imbalanced features ...
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    Optimization of Organic Nitrogen Compounds Removal in Pymetrozine Production Wastewater Using Complex Extraction with Response-Surface Methodology 

    Source: Journal of Environmental Engineering:;2020:;Volume ( 146 ):;issue: 007
    Author(s): Kaijun Wang; Qixing Cai; Zhenggui Gu; Hao Sun; Xin Huang
    Publisher: ASCE
    Abstract: Production wastewater of pymetrozine leads to producing a lot of highly concentrated saline organic wastewater so that the related environmental aspects must be studied. In this study, a response surface methodology (RSM) ...
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    Aerodynamic Interference between Two Road Vehicle Models during Overtaking 

    Source: Journal of Energy Engineering:;2019:;Volume ( 145 ):;issue: 002
    Author(s): Hao Sun; Evangelos Karadimitriou; Xue Min Li; Dimitrios Mathioulakis
    Publisher: American Society of Civil Engineers
    Abstract: Using experimental (particle-image velocimetry and force measurement) and numerical tools [steady Reynolds-averaged Navier-Stokes (RANS) equations with the shear stress transport (SST) k-ω turbulence model], the overtaking ...
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    Clustering and Selection of Hurricane Wind Records Using Autoencoder and k-Means Algorithm 

    Source: Journal of Structural Engineering:;2023:;Volume ( 149 ):;issue: 008:;page 04023096-1
    Author(s): Xinlong Du; Jerome F. Hajjar; Robert Bailey Bond; Pu Ren; Hao Sun
    Publisher: ASCE
    Abstract: In wind engineering, to accurately estimate the nonlinear dynamic response of structures while considering uncertainties of hurricanes, a suite of wind records representing the hurricane hazards of a given location is of ...
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    Experimental Research on Heat Transfer Performance of CO2 Tube Bundle Falling Film Evaporator 

    Source: Journal of Thermal Science and Engineering Applications:;2022:;volume( 015 ):;issue: 001:;page 11009
    Author(s): Liu, Zhongyan;Zhang, Hao;Sun, Dahan;Jin, Xu;Zheng, Shuang;Zhang, Xin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: CO2 is a promising refrigerant substitute, and falling film evaporator is widely used in highcapacity heat pump systems. In this article, a CO2 heat pump experimental device is built. According to experimental parameters, ...
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