Establishment for Regulation Standards of Architectural Facility Noise Using Psycho-acoustic Experiment

Abstract

The architectural, facility makes the housing environment more pleasant, while too much noise coming from machinery room is detrimental to the workers physically and mentally. Therefore, more sound insulation and sound proof policies are increasingly required. However, as the annoyance caused by facility noise is influenced by various human listening characteristics as well as physical characteristics such as sound pressure level, it requires subjective evaluation characteristics through acoustic-psychological approach. For this purpose, the facility noise in the machinery room was actually measured and analyzed in the field to understand physical characteristics, and the correlation between physical evaluation value and psychological response value through listening test. Further, this study aims at presenting the data to set the standards of 'Just noticeable difference' of the facility noise together with reasonable evaluation with psychological reaction, through the grading of facility noise using trend formula. In the result, 13 stages of physical properties were forecasted for each evaluation method, together with 'Just noticeable difference' using the grading of architectural facility noise.

Study on Noise Characteristics of Facility Equipment and Subjective Responses

“…During previous studies on the noise of facility and equipment, Joo experimented on the level of annoyance of noise generated from various types of facilities in building structures [1]. Jeon measured and compared the refrigerator noise level from both an apartment's living room and an echoic chamber, thereby conducting a survey on noise characteristics and residents' satisfaction [2].…”

Psycho-acoustic evaluation of the indoor noise in cabins of a naval vessel using a back-propagation neural network algorithm

“…Ju et al (2010) researched noise produced by heavy construction machines using psycho-acoustic evaluation. He suggested the limit of the noise for these machines by completing a correlation analysis that examined the measured noise level and a human's perception of that noise.…”