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Hideki Kikumoto
Hideki Kikumoto
Institute of Industrial Science, The University of Tokyo
Verified email at iis.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
A numerical study of air pollutant dispersion with bimolecular chemical reactions in an urban street canyon using large-eddy simulation
H Kikumoto, R Ooka
Atmospheric Environment 54, 456-464, 2012
792012
Single-sided natural ventilation in buildings: a critical literature review
HY Zhong, Y Sun, J Shang, FP Qian, FY Zhao, H Kikumoto, ...
Building and Environment 212, 108797, 2022
652022
Bayesian inference for thermal response test parameter estimation and uncertainty assessment
W Choi, H Kikumoto, R Choudhary, R Ooka
Applied Energy 209, 306-321, 2018
652018
Observational study of power-law approximation of wind profiles within an urban boundary layer for various wind conditions
H Kikumoto, R Ooka, H Sugawara, J Lim
Journal of Wind Engineering and Industrial Aerodynamics 164, 13-21, 2017
632017
Study on the future weather data considering the global and local climate change for building energy simulation
H Kikumoto, R Ooka, Y Arima, T Yamanaka
Sustainable Cities and Society 14, 404-413, 2015
622015
Effect of climate change on building cooling loads in Tokyo in the summers of the 2030s using dynamically downscaled GCM data
Y Arima, R Ooka, H Kikumoto, T Yamanaka
Energy and Buildings 114, 123-129, 2016
592016
Large-eddy simulation of flow around an isolated building: A step-by-step analysis of influencing factors on turbulent statistics
T Okaze, H Kikumoto, H Ono, M Imano, N Ikegaya, T Hasama, K Nakao, ...
Building and Environment 202, 108021, 2021
582021
Bayesian source term estimation of atmospheric releases in urban areas using LES approach
F Xue, H Kikumoto, X Li, R Ooka
Journal of Hazardous Materials 349, 68-78, 2018
582018
Effect of the numerical viscosity on reproduction of mean and turbulent flow fields in the case of a 1: 1: 2 single block model
N Ikegaya, T Okaze, H Kikumoto, M Imano, H Ono, Y Tominaga
Journal of Wind Engineering and Industrial Aerodynamics 191, 279-296, 2019
502019
Large-eddy simulation of pollutant dispersion in a cavity at fine grid resolutions
H Kikumoto, R Ooka
Building and Environment 127, 127-137, 2018
422018
Recent research on expiratory particles in respiratory viral infection and control strategies: A review
Y Bu, R Ooka, H Kikumoto, W Oh
Sustainable Cities and Society 73, 103106, 2021
412021
Evaluation of mist-spraying environment on thermal sensations, thermal environment, and skin temperature under different operation modes
W Oh, R Ooka, J Nakano, H Kikumoto, O Ogawa
Building and Environment 168, 106484, 2020
342020
Lattice Boltzmann method-based large-eddy simulation of indoor isothermal airflow
M Han, R Ooka, H Kikumoto
International Journal of Heat and Mass Transfer 130, 700-709, 2019
342019
A study of urban thermal environment in Tokyo in summer of the 2030s under influence of global warming
H Kikumoto, R Ooka, Y Arima
Energy and Buildings 114, 54-61, 2016
342016
Turbulent Schmidt number for source term estimation using Bayesian inference
F Xue, X Li, R Ooka, H Kikumoto, W Zhang
Building and Environment 125, 414-422, 2017
332017
A study on air pollutant dispersion with bimolecular reactions in urban street canyons using large-eddy simulations
H Kikumoto, R Ooka
Journal of Wind Engineering and Industrial Aerodynamics 104, 516-522, 2012
332012
Measurements of exhaled airflow velocity through human coughs using particle image velocimetry
M Han, R Ooka, H Kikumoto, W Oh, Y Bu, S Hu
Building and environment 202, 108020, 2021
312021
Consistency of mean wind speed in pedestrian wind environment analyses: Mathematical consideration and a case study using large-eddy simulation
H Kikumoto, R Ooka, M Han, K Nakajima
Journal of Wind Engineering and Industrial Aerodynamics 173, 91-99, 2018
312018
Experimental measurements of airflow features and velocity distribution exhaled from sneeze and speech using particle image velocimetry
M Han, R Ooka, H Kikumoto, W Oh, Y Bu, S Hu
Building and environment 205, 108293, 2021
292021
Source term estimation in complex urban environments based on Bayesian inference and unsteady adjoint equations simulated via large eddy simulation
H Jia, H Kikumoto
Building and Environment 193, 107669, 2021
272021
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