
Engineering way to improve the accurate noise propagation prediction of industrial plants using energy based method
In the industrial plants, there are large amount of various noise sources and sound propagation is not simple because of complicated structures and large equipment. To predict environmental noise impacts from the plants and take proper noise control in design phase, or to solve the
noise issues of neighboring community during plant operation, noise modeling with accuracy is very important. Energy based methods such as ISO9613-2 are often used as an engineering approach for far field sound propagation from complicated industrial plants. However, accuracy of the energy
based methods is depending on boundary conditions such as ground surface, structures, equipment, buildings and meteorological condition. Based on our accumulated data of comparisons between noise modeling and noise measurement on the actual plants, we are improving our noise modeling method.
This paper will present the engineering way to improve the accuracy of the energy based method for sound propagation prediction of industrial plants.
The requested document is freely available to subscribers. Users without a subscription can purchase this article.
- Sign in below if you have already registered for online access
Sign in
Document Type: Research Article
Affiliations: JGC corporation, Japan
Publication date: 07 December 2017
The Noise-Con conference proceedings are sponsored by INCE/USA and the Inter-Noise proceedings by I-INCE. NOVEM (Noise and Vibration Emerging Methods) conference proceedings are included. All NoiseCon Proceedings one year or older are free to download. InterNoise proceedings from outside the USA older than 10 years are free to download. Others are free to INCE/USA members and member societies of I-INCE.
- Membership Information
- INCE Subject Classification
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content