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Key research themes
1. How can low-frequency noise measurement techniques be improved for accurate noise source identification and annoyance assessment?
This research area focuses on advancing measurement and assessment methodologies for low-frequency noise, especially in complex environments such as industrial settings and residential areas close to industrial estates. Accurate detection and characterization of low-frequency noise is critical because conventional acoustic measurement techniques often fail to identify or correlate the noise with human annoyance or health effects. Improved measurement techniques and assessment criteria enable effective noise mitigation and regulatory compliance.
Key finding: This paper applied an integrated acoustic/microseismic measurement system combined with the German DIN 45680 standard criteria to successfully identify the sources and confirm low-frequency noise annoyance complaints in a... Read more
Key finding: Through extensive noise measurement at 1,700 points within a power plant, this study created detailed noise contour maps that identified zones exceeding regulatory limits, necessitating hearing protection. The findings... Read more
Key finding: By measuring noise exposure levels in textile production units and correlating these with the Weinstein Noise Sensitivity Scale and worker annoyance questionnaires, this study found significant positive relationships between... Read more
Key finding: Similar to the previous study, this work combined sound pressure level measurements with subjective noise sensitivity and annoyance assessments in textile industry workers. It confirmed high noise exposure levels exceeding... Read more
2. What are the effective methodologies for monitoring, mapping, and modeling environmental and urban noise, particularly traffic and industrial noise?
Research under this theme investigates the use of noise monitoring data to create spatial noise maps (2D and 3D) and predictive models for noise distribution in urban and industrial environments. These models support environmental impact assessments, urban planning, and noise mitigation strategies. Emphasis is on data-driven approaches combining direct measurements with analytical and regression-based predictive modeling, often tailored to specific noise sources such as traffic or industrial equipment.
Key finding: This review synthesizes noise monitoring studies predominantly focused on traffic noise, finding that around 90% of monitoring addressed traffic while only 10% covered residential, commercial, and industrial areas. It... Read more
Key finding: The paper reviews industrial noise mapping applications, highlighting the use of GIS-based software like ArcGIS for visualizing noise contours from measurements. It identifies industrial noise's heterogeneity as a key... Read more
Key finding: This study provides a detailed statistical analysis of extensive one-year continuous noise and traffic volume data from an urban monitoring station. It proposes new parameters for assessing the variability and uncertainty of... Read more
Key finding: The paper presents a multilinear regression-based predictive model calibrated independently of field measurements by utilizing computed noise levels. Validation against a large database of field measurements showed accurate... Read more
3. How can noise characteristics be analyzed and controlled in vehicle and industrial transmission systems using advanced materials or signal processing methods?
This area studies noise and vibration control in mechanical and industrial systems through innovative materials (e.g., metal rubber), active or semi-active control systems, and signal processing techniques. Researchers apply vibro-acoustic measurements, noise source identification, and noise cancellation strategies to reduce transmitted noise and enhance human comfort or machine performance. The methodological focus includes experimental characterization, material testing, control algorithm development, and acoustic modeling.
Key finding: This research designs and implements a semi-active noise and vibration control system for vehicle transmissions using metal rubber isolators whose adaptive stiffness and damping modulate transmission noise. Experimental... Read more
Key finding: Proposing a frequency-domain decomposition technique to separate overlapping noise signatures from closely spaced industrial machines, this paper demonstrated in a steel plant that isolating individual machine noise spectra... Read more
Key finding: Though focused on gravitational-wave detectors, this paper developed a noise cancellation system employing 110 vertical geophones and a tiltmeter to estimate and subtract seismic-induced Newtonian noise via optimal Wiener... Read more