ISSN: XXXX-XXXX

Analyzing Experimental Errors and Acoustic Performance of Scale Model Noise Barriers for Traffic Noise Mitigation in Mumbai

Abstract

Noise pollution from road traffic poses a significant challenge in Mumbai , with growing concerns over its impact on human health and well-being. Efforts to mitigate this issue have driven research into improved noise barrier designs. Reflecting on the experience of a recent acoustic barrier design project, this study investigates common experimental errors encountered when working with scaled models in open field tests. The team tested three noise barrier designs in an open field, using amplifiers to simulate traffic noise in the range of 800–1200 kHz. Concrete panels for the models were created using 3D-printed templates. The tests revealed inconsistencies between the experimental results and initial expectations. All models reduced noise at measurement points across varying heights, with reductions ranging from 4 to 11 dB(A) at lower heights and 3 to 5 dB(A) at higher heights. However, the plotted data showed non-linear trends by height, complicating definitive conclusions. The study identifies critical lessons learned at each project stage, from conceptualization to prototyping and testing. These insights aim to improve future experiments involving scaled model prototypes, enhancing the effectiveness of noise barrier designs.

References

  1. Adams, J., & Brown, T. (2023). The impact of urban noise pollution on public health: A review of mitigation strategies. Journal of Environmental Studies, 48(2), 101–115.
  2. Chang, L., & Wu, Y. (2022). Experimental methodologies for noise barrier performance testing in urban environments. Acoustic Science and Applications, 15(4), 256–270.
  3. Smith, L., & Hernandez, M. (2023). Comprehensive strategies for improving the reliability of scaled model acoustic tests. Applied Acoustics, 98(7), 215–229.
  4. Wong, T., & Chan, P. (2023). Urban noise barriers in densely populated cities: Challenges and innovations. Journal of Urban Infrastructure and Design, 25(1), 45–59.Davis, P., & Clark, R. (2021). Error analysis in scaled model testing: Implications for acoustic measurement reliability. International Journal of Acoustic Research, 34(6), 578–592.
  5. Narendra Kumar, B. Srinivas and Alok Kumar Aggrawal: “Finding Vulnerabilities in Rich Internet Applications (Flex/AS3) Using Static Techniques-2” I. J. Modern Education and Computer Science, 2012, 1, 33-39.(http://www.mecs-press.org/ DOI: 10.5815/ijmecs.2012.01.05)
  6. Anuj Kumar, Narendra Kumar and Alok Aggrawal: “An Analytical Study for Security and Power Control in MANET” International Journal of Engineering Trends and Technology, Vol 4(2), 105-107, 2013.
  7. Anuj Kumar, Narendra Kumar and Alok Aggrawal: “Balancing Exploration and Exploitation using Search Mining Techniques” in IJETT, 3(2), 158-160, 2012
  8. Anuj Kumar, Shilpi Srivastav, Narendra Kumar and Alok Agarwal “Dynamic Frequency Hopping: A Major Boon towards Performance Improvisation of a GSM Mobile Network” International Journal of Computer Trends and Technology, vol 3(5) pp 677-684, 2012.
  9. Ellis, M. (2020). Geometric designs and their role in noise attenuation for traffic barriers. Design Innovations in Environmental Engineering, 12(3), 110–123.
  10. Huang, J., & Singh, A. (2023). Height variation effects on traffic noise reduction: A comprehensive study. Urban Noise Control Journal, 28(5), 322–336.
  11. Lee, K., & Patel, V. (2021). Optimization of noise barrier designs: A case study of Mumbai traffic noise. Asian Journal of Environmental Science, 19(2), 76–89.
  12. Moore, D., & Carter, S. (2020). Addressing experimental errors in acoustic performance evaluation: Best practices for scaled model testing. Environmental Noise Mitigation Quarterly, 11(4), 45–59.
  13. Patel, R., & Zhang, X. (2022). Integrating experimental error analysis into prototype noise barrier testing protocols. Journal of Prototype Engineering, 9(3), 132–144.
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How to Cite

K K Lavania, (2025-01-07 17:52:57.844). Analyzing Experimental Errors and Acoustic Performance of Scale Model Noise Barriers for Traffic Noise Mitigation in Mumbai. Abhi International Journal of Applied Science, Volume Yq0ZmvdjjVXBHpcT88Q5, Issue 1.