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    Probability Distribution of Extremes of Von Mises Stress in Randomly Vibrating Structures 

    Source: Journal of Vibration and Acoustics:;2005:;volume( 127 ):;issue: 006:;page 547
    Author(s): Sayan Gupta; C. S. Manohar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of determining the probability distribution function of extremes of Von Mises stress, over a specified duration, in linear vibrating structures subjected to stationary, Gaussian random ...
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    Heat Flux Controlled Pool Boiling of Zirconia–Water and Silver–Water Nanofluids on a Flat Plate: A Coupled Map Lattice Simulation 

    Source: Journal of Heat Transfer:;2015:;volume( 137 ):;issue: 002:;page 21503
    Author(s): Sadhu, Sayan; Ghoshdastidar, P. S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the present work, the characteristic atmospheric saturated heat flux controlled pool boiling curves for zirconia–water and silver–water nanofluids have been reproduced by the coupled map lattice (CML) method using ...
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    Multivariate Extreme Value Distributions for Random Vibration Applications 

    Source: Journal of Engineering Mechanics:;2005:;Volume ( 131 ):;issue: 007
    Author(s): Sayan Gupta; C. S. Manohar
    Publisher: American Society of Civil Engineers
    Abstract: The problem of determining the joint probability distribution of extreme values associated with a vector of stationary Gaussian random processes is considered. A solution to this problem is developed by approximating the ...
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    Probability Distribution of Peaks for Nonlinear Combination of Vector Gaussian Loads 

    Source: Journal of Vibration and Acoustics:;2008:;volume( 130 ):;issue: 003:;page 31011
    Author(s): Sayan Gupta; P. H. van Gelder
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of approximating the probability distribution of peaks, associated with a special class of non-Gaussian random processes, is considered. The non-Gaussian processes are obtained as ...
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    Alternative Approach for Estimation of Precipitation Using Doppler Weather Radar Data 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 010
    Author(s): Rajib Maity; Sayan Dey; Prerit Varun
    Publisher: American Society of Civil Engineers
    Abstract: Precipitation estimates from Doppler weather radar (DWR) provide much better spatial resolution as compared to rain gauges and are therefore becoming more popular in hydrological applications. However, traditional estimates ...
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    Steady-State Analysis of a High-Temperature Natural Circulation Loop Based on Water-Cooled Supercritical CO2 

    Source: Journal of Heat Transfer:;2018:;volume( 140 ):;issue: 006:;page 62502
    Author(s): Sadhu, Sayan; Ramgopal, Maddali; Bhattacharyya, Souvik
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A high-temperature natural circulation loop (NCL) using supercritical carbon dioxide as loop fluid is modeled to study the effects of operating variables and relevant design parameters on loop performance. The steady-state ...
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    Enhanced Machine Learning Classification Accuracy for Scaffolding Safety Using Increased Features 

    Source: Journal of Construction Engineering and Management:;2019:;Volume ( 145 ):;issue: 002
    Author(s): Sayan Sakhakarmi; JeeWoong Park; Chunhee Cho
    Publisher: American Society of Civil Engineers
    Abstract: Despite regular safety inspections and safety planning, numerous fatal accidents related to scaffold take place at construction sites. Current practices relying on human inspection are not only impractical but also ineffective ...
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    Reinforcement Learning-Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 009:;page 91705-1
    Author(s): Ashenafi; Yonatan;Pandita; Piyush;Ghosh; Sayan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Engineering problems that are modeled using sophisticated mathematical methods or are characterized by expensive-to-conduct tests or experiments are encumbered with limited budget or finite computational resources. Moreover, ...
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    Scalable Fully Bayesian Gaussian Process Modeling and Calibration With Adaptive Sequential Monte Carlo for Industrial Applications 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 007:;page 074502-1
    Author(s): Pandita, Piyush; Tsilifis, Panagiotis; Ghosh, Sayan; Wang, Liping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Gaussian process (GP) regression or kriging has been extensively applied in the engineering literature for the purposes of building a cheap-to-evaluate surrogate, within the contexts of multi-fidelity modeling, model ...
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    Estimating Joint Probabilities for Confluences across CONUS Using Copula 

    Source: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 001:;page 04024049-1
    Author(s): Ankit Ghanghas; Sayan Dey; Venkatesh Merwade
    Publisher: American Society of Civil Engineers
    Abstract: Hydraulic structure design near stream confluences requires meticulous consideration of combined flows from both tributaries, especially when the structure is located on small tributaries that drain into larger downstream ...
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