... physics-based simulations Vortex core detection is a challenging subject in fluid mechanics research and how to detect these reliably remains an open question to date. Knowing the exact location of vortex cores is useful during automated mesh refinement in computational fluid dynamics simulations...

... projection data-driven engineering inverse methods for engineering applications physics-based simulations National Natural Science Foundation of China 10.13039/501100001809 51975589 As the train developed toward heavy loads and high speeds, the severe wear of the wheel and rail...

... Corresponding author. Email: james.yang@ttu.edu cervical spine injury finite element method range of motion mesh sensitivity intersubject variability human–computer interfaces/interactions physics-based simulations References [1] Mustafy , T. , Moglo , K. , Adeeb , S...

... = damaged stress tensor σ ex = external stress tensor (e.g., initial, viscoelastic, or other inelastic stresses) advanced computing infrastructure model-based systems engineering multiphysics modeling and simulation physics-based simulations References [1...

... nformation S cience in E ngineering . 23 04 2022 01 09 2022 02 09 2022 27 09 2022 data-driven engineering inverse methods for engineering applications machine learning for engineering applications physics-based simulations qualification, verification and validation...

... applications machine learning for engineering applications model-based systems engineering multi-physics modeling and simulation physics-based simulations In many engineering applications, physics-based computational models are used to analyze the system behavior under different operating...

... methods for engineering applications physics-based simulations National Science Foundation 10.13039/100000001 CMMI-1454601 Engineers rely heavily on mathematical models of real systems. In the design process, engineers seek the best models that describe the physical system they seek...

...-based simulations 25 09 2021 18 03 2022 21 03 2022 10 05 2022 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . This publication was prepared by those...

... monitoring LSTM model cutting force edge-level system computer aided manufacturing machine learning for engineering applications manufacturing automation physics-based simulations process modeling for engineering applications 22 11 2021 01 03 2022 02 03 2022 25 03 2022...

... by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . 22 08 2021 06 01 2022 07 01 2022 04 03 2022 computer aided design physics-based simulations China Scholarship Council 10.13039...

... cience in E ngineering . 11 05 2021 18 01 2022 20 01 2022 21 02 2022 Email: ccm@cmu.edu Email: matthewli@microsoft.com machine learning for engineering applications physics-based simulations References [1] Bakker , A. , 2006 , “ The Future...

... algorithms vectorization physics-based simulations Listing 5 A hash-based search approach hash(x, base, offset)   return log(x) / log(base) + offset log_hash_search(X, n, Y, m)   lowbounds[n], H[H_size]   base = pow(10, (log(X[m−1]) - log(X[0])) / H_size)   offset = floor(log(X[0...

... engineering multiphysics modeling and simulation physics-based simulations 02 07 2021 21 09 2021 21 09 2021 13 10 2021 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering...

... advantage of the strengths of both physics-based and data-driven models, we propose a novel, hybrid modeling framework for laser powder bed fusion (L-PBF) process. Our unbiased model-integration method combines physics-based, simulation data, and measurement data for approaching a more accurate prediction...

... curves. Email: mattec4@gmail.com Email: tszho.kwok@concordia.ca 30 09 2020 30 01 2021 31 01 2021 12 05 2021 computational geometry computer aided design computer aided engineering physics-based simulations The finite element method (FEM) has been used...

... computational metrology inverse methods for engineering applications machine learning for engineering applications multiscale modeling and simulation physics-based simulations With only a few extraordinarily well-controlled exceptions, all materials contain defects [ 1 ]. Here, the term “defect...

... 03 2021 15 03 2021 digital twin aircraft assembly quality deviation control asset management shell FP-growth association analysis data-driven engineering information management physics-based simulations Known as “the pearl on the crown of modern industry” civilian aircraft...

... for engineering applications physics-based simulations In reliability engineering [ 1 – 5 ], the average lifetime, or the mean time to failure (MTTF), is an important metric of product reliability [ 1 , 6 ]. Statistics-based methods [ 7 , 8 ] are widely used to estimate the MTTF. The methods need...

...-dimensional model three-dimensional model maximum weight lifting dynamic joint strength inverse dynamic optimization computer-aided engineering physics-based simulations Despite the advancement in robotics and automation fields, manual material handling (MMH)-related injuries like hyperextension...

.../interactions physics-based simulations In 1987, it was estimated that more than 2 million of the elderly in U.S. had difficulties in accomplishing sit-to-stand (STS) tasks [ 1 ]. Many of the elderly were unable to rise from a chair without assistance [ 2 ]. Although there is no recent data...