Sakamoto Lab.
To create a better sound environment
Sounds surround our lives. Sounds have great impacts on our quality of life. Sakamoto laboratory treats various issues on acoustic field control, measurement, prediction and assessment in order to realize better sound environment in architecture and city.
Study on the evaluation of environmental noises
Environmental noise became a social issue as one of the major pollution problems during high economic growth in Japan. From the era, road traffic noise, aircraft noise, and railway noise have been the main sources of environmental noise. To evaluate these noises, noise indices based on A-weighted sound pressure level were adopted and widely used because these noises were broadband noises that have components in a wide frequency range. In recent years, however, novel noise problems have arisen due to new energy/energy conservation, such as wind turbine noise and noise from domestic heat pump water heaters. Since the characteristics of these noises differ from those of conventional noises, evaluation indices that can be appropriately applied to a wide variety of characteristics are required. Therefore, Sakamoto Laboratory is making research on the noise indices that accurately reflect human aural sensation by using psycho-acoustical experiments using a sound field simulation system.
Research project
(1) Evaluation of tonal noises
(2) Development of an audio-visual data collection and reproduction system and its application to environmental noise assessment
Research on prediction and estimation of environmental noise
In order to realize a quiet and comfortable sound environment in cities, it is essential to quantitatively grasp the noise situation in the city. Establishing methods to predict and estimate the environmental noise is an important research topic. Sakamoto Laboratory is developing such prediction and estimation methods for urban environmental noise assessment by using in-situ measurements, field and scale-model experiments, and wave-based/energy-based numerical analysis.
