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6篇 您的检索式:作者名="Chrit"
    题名 作者 年代 出处 被引量
1Cadastral Systems显示文摘Lemmen Chrit Oosterom Peter van 2001Computers Environment and Urban Systems2001,25,45:1
2Evolution of the Ablation Region After Magnetic Resonance–Guided High-Intensity Focused Ultrasound Ablation in a Vx2 Tumor Model显示文摘Joost W. Wijlemans Roel Deckers Maurice A.A.J. van den Bosch Beatrijs A. Seinstra Marijn van Stralen Paul J. van Diest Chrit T.W. Moonen Lambertus W. Bartels 2013Investigative Radiology2013,,:1
3A Clinically Feasible Treatment Protocol for Magnetic Resonance-Guided High-Intensity Focused Ultrasound Ablation in the Liver显示文摘Joost W. Wijlemans Martijn de Greef Gerald Schubert Lambertus W. Bartels Chrit T.W. Moonen Maurice A.A.J. van den Bosch Mario Ries 2015Investigative Radiology2015,,:1
4Duration of ultrasound-mediated enhanced plasma membrane permeability显示文摘Bart Lammertink Roel Deckers Gert Storm Chrit Moonen Clemens Bos 2014International Journal of Pharmaceutics2014,,:1
53D Cadastres 显示文摘Chrit Lemmen Peter van Oosterom 2003Computers Environment and Urban Systems2003,27,4:1
6Reconstructing urban wind flows for urban air mobility using reduced-order data assimilation显示文摘Advancements in uncrewed aircrafts and communications technologies have led to a wave of interest and investment in unmanned aircraft systems(UASs)and urban air mobility(UAM)vehicles over the past decade.To support this emerging aviation application,concepts for UAS/UAM traffic management(UTM)systems have been explored.Accurately characterizing and predicting the microscale weather conditions,winds in particular,will be critical to safe and efficient operations of the small UASs/UAM aircrafts within the UTM.This study implements a reduced order data assimilation approach to reduce discrepancies between the predicted urban wind speed with computational fluid dynamics(CFD)Reynolds-averaged Navier Stokes(RANS)model with real-world,limited and sparse observations.The developed data assimilation system is UrbanDA.These observations are simulated using a large eddy simulation(LES).The data assimilation approach is based on the time-independent variational framework and uses space reduction to reduce the memory cost of the process.This approach leads to error reduction throughout the simulated domain and the reconstructed field is different than the initial guess by ingesting wind speeds at sensor locations and hence taking into account flow unsteadiness in a time when only the mean flow quantities are resolved.Different locations where wind sensors can be installed are discussed in terms of their impact on the resulting wind field.It is shown that near-wall locations,near turbulence generation areas with high wind speeds have the highest impact.Approximating the model error with its principal mode provides a better agreement with the truth and the hazardous areas for UAS navigation increases by more than 10%as wind hazards resulting from buildings wakes are better simulated through this process.Mounir Chrit 2023Theoretical & Applied Mechanics Letters2023,13,4:0
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