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    Turbulent Pulsating Convective Flow in the Quasi-Steady and Low-Frequency Regimes 

    Source: ASME Journal of Heat and Mass Transfer:;2024:;volume( 146 ):;issue: 007:;page 71802-1
    Author(s): Banerjee, Ayan Kumar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The instantaneous and time-averaged dynamics of turbulent pulsating convective pipe flow is investigated experimentally over Strouhal number, St=3.3×10−4−0.12 that falls in the quasi-steady and low-frequency regimes, ...
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    Global Positioning System Detection of Minuteman II Launch and Positioning of Launch Site 

    Source: Journal of Surveying Engineering:;2005:;Volume ( 131 ):;issue: 003
    Author(s): M. Hawarey; T. Ayan
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, global positioning system (GPS) data collected by seven permanent GPS stations of Southern California Integrated GPS Network during the launch of the long-range Minuteman II missile from Vandenberg Air Force ...
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    Gibbs Sampling for Damage Detection Using Complex Modal Data from Multiple Setups 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 002:;page 04021018-1
    Author(s): Ayan Das; Nirmalendu Debnath
    Publisher: ASCE
    Abstract: This paper presents a novel Gibbs sampling approach for structural health monitoring (SHM) with detection of structural changes/damages using incomplete complex modal data measured with a limited number of sensors. The ...
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    Dependence of Critical Stress Intensity Factor on Crack Depth From the Loading Boundary of Crystalline Silicon 

    Source: Journal of Applied Mechanics:;2024:;volume( 091 ):;issue: 006:;page 61001-1
    Author(s): Basu, Ayan; Singh, Gaurav
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the present work, an atomistic scale investigation is done on crystalline silicon to understand the effect of crack depth from the loading (pulling) boundary on the critical near-tip state of stress. For various depths ...
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    Multiclass Damage Identification in a Full-Scale Bridge Using Optimally Tuned One-Dimensional Convolutional Neural Network 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 036 ):;issue: 002:;page 04021035
    Author(s): Sandeep Sony; Sunanda Gamage; Ayan Sadhu; Jagath Samarabandu
    Publisher: ASCE
    Abstract: In this paper, a novel method is proposed based on a windowed one-dimensional convolutional neural network (1D CNN) for multiclass damage identification using vibration responses of a full-scale bridge. The measured data ...
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    Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 003:;page 04025021-1
    Author(s): Kyle Dunphy; Madhushan Buwaneswaran; Katarina Grolinger; Ayan Sadhu
    Publisher: American Society of Civil Engineers
    Abstract: The application of machine learning (ML) as an apparatus for structural health monitoring (SHM) has become increasingly prevalent recently as the domain moves toward autonomous structural inspections. Although significant ...
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    A Benchmark Data Set for Vision-Based Traffic Load Monitoring in a Cable-Stayed Bridge 

    Source: Journal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 002:;page 04723001-1
    Author(s): Liangfu Ge; Danhui Dan; Ayan Sadhu
    Publisher: ASCE
    Abstract: Traffic load monitoring based on deep learning and computer vision has garnered significant attention in bridge engineering worldwide. Unlike traditional traffic load monitoring systems, computer vision-based techniques ...
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    An Evaluation of Surface Atmospheric Changes over the Arctic Ocean for 2000–09 Using Recent Reanalyses 

    Source: Earth Interactions:;2014:;volume( 019 ):;issue: 002:;page 1
    Author(s): Chaudhuri, Ayan H.; Ponte, Rui M.
    Publisher: American Meteorological Society
    Abstract: he authors examine five recent reanalysis products [NCEP Climate Forecast System Reanalysis (CFSR), Modern-Era Retrospective Analysis for Research and Applications (MERRA), Japanese 25-year Reanalysis Project (JRA-25), ...
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    Leveraging One-Dimensional Deep Learning for Robust Leak Detection in Water Distribution Systems Using Acceleration Data 

    Source: Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004:;page 04025066-1
    Author(s): Dunphy, Kyle; Agarwal, Harsha; Sadhu, Ayan
    Publisher: American Society of Civil Engineers
    Abstract: AbstractOperational water distribution networks (WDNs) are of paramount importance to the many facets of socioeconomic demands that are required by global society. Infrastructure degradation and failures in the form of ...
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    Investigation of Heat Transfer Characteristics in a Rotating Convection System With Bi-Directional Thermal Gradients 

    Source: Journal of Heat Transfer:;2020:;volume( 143 ):;issue: 001:;page 011802-1
    Author(s): Banerjee, Ayan Kumar; Bhattacharya, Amitabh; Balasubramanian, Sridhar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A series of rotating convection experiments have been conducted in a novel configuration, which comprises a cylindrical annulus with spot heating on the bottom outer edge and uniform cooling on the inner surface. Such a ...
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