Engineering Noise Control

Bies, David A.; Hansen, Colin H.

doi:10.1201/9781315273464

Cited by 102 publications

(70 citation statements)

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“…with an error less than 0.5 dB [38]. When attenuating effects other than geometrical spreading are also considered, the sound pressure at the receiver can be obtained using…”

Section: Fate Analysismentioning

confidence: 99%

Inclusion of Noise in Environmental Assessment of Road Transportation

Ongel¹

2015

Environ Model Assess

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In life cycle assessment (LCA) of road transportation systems, limited attention is given to noise as an impact category. This paper presents a method in order to include the environmental effects of noise in the LCA of road transportation. Life cycle inventory is developed based on the IMAG INE road vehicle noise emission model. Life cycle impact assessment is based on cause-effect chain including fate, exposure, effect, and damage analysis. The health effects of road traffic noise are evaluated in terms of acute myocardial infarction, annoyance, and sleep disturbance. The corresponding health damages are quantified using disability adjusted life years (DALY). A case study evaluating the health effects of road transportation noise for the nine municipalities of Istanbul using the proposed method is also presented. It was shown that transportation noise has significant adverse health effects and therefore should be accounted for in the LCA of road transportation along with other environmental interventions.

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“…with an error less than 0.5 dB [38]. When attenuating effects other than geometrical spreading are also considered, the sound pressure at the receiver can be obtained using…”

Section: Fate Analysismentioning

confidence: 99%

Inclusion of Noise in Environmental Assessment of Road Transportation

Ongel¹

2015

Environ Model Assess

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“…total surface mass) of the panel, respectively [17]. B eff can be calculated considering material properties and thickness of each layer of the sandwich panel [18].…”

Section: Key Parametersmentioning

confidence: 99%

Prediction of sound reduction index of double sandwich panel

et al. 2015

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“…Let [x j(act) , y j(act) , z j(act) ] and SWL j(act) be the actual Cartesian coordinate and sound power level with respect to the jth noise source. The sound pressure level (SPL), as given by distance decay formula (Bies and Hansen 1988), at any point i radiated from the jth noise source with a variable noise reduction is:…”

Section: Noise Identification In Multi Noise Plantmentioning

confidence: 99%

Identification of noise in multi noise plant using enhanced version of shuffled frog leaping algorithm

Sharma

Pant

2016

Int J Syst Assur Eng Manag

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In any factory or industry the high level noise can be very harmful to the employees. As investigated by Occupational Safety and Health Act of 1970, the high level noise not only causes physiological ailments in employees but also causes harmful environment in the neighborhood. Therefore it becomes essential to control the noise levels in any manufacturing plant or industry. This can be achieved by optimal allocation of noise equipment which is quite not easy to recognize the exact location. In this study a shuffled frog-leaping algorithm (SFLA) with modification is applied to identify optimal locations for equipment in order to reduce noise level in multi noise plant. Comparatively, SFLA is a recent addition to the family of nontraditional population based search methods that mimics the social and natural behavior of species (frogs). SFLA merges the advantages of particle swarm optimization and genetic algorithm (GA). Though SFLA has been successfully applied to solve many benchmark and real time problems but it limits in convergence speed. In order to improve its performance, the frog with best position in each memeplexes is allowed to slightly modify its position using random walk. This process improves the local search around the best position. The proposal is named as improved local search in SFLA. The simulated results defend the efficacy of the proposal when compared with the differential evolution, GA and SFL algorithms.

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Engineering Noise Control

Cited by 102 publications

References 0 publications

Inclusion of Noise in Environmental Assessment of Road Transportation

Inclusion of Noise in Environmental Assessment of Road Transportation

Prediction of sound reduction index of double sandwich panel

Identification of noise in multi noise plant using enhanced version of shuffled frog leaping algorithm

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