A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Relationship of Noise Level with Pavement Distresses
https://orcid.org/http://orcid.org/0000-0003-1512-1983
This paper predicted a noise level for Indian highways and developed a relationship between noise and pavement distress cracks (CR), potholes (PH), and the International Roughness Index (IRI). The government of India is investing huge amounts in road construction every year. Poor road construction quality and subsequent maintenance lead to faster road deterioration, which reduces vehicle speed and increases noise pollution. In this regard, scientific procedures must evolve to predict noise pollution levels. In this research, data was collected on the age of the pavement, the number of commercial vehicles, the noise level, and the condition of the pavement. This information was used to make a noise prediction model with the Multiple Linear Regression (MLR) technique and an R2 of 0.90. Environmental and highway engineers can use this study to predict noise pollution in pavement distress.
Relationship of Noise Level with Pavement Distresses
https://orcid.org/http://orcid.org/0000-0003-1512-1983
This paper predicted a noise level for Indian highways and developed a relationship between noise and pavement distress cracks (CR), potholes (PH), and the International Roughness Index (IRI). The government of India is investing huge amounts in road construction every year. Poor road construction quality and subsequent maintenance lead to faster road deterioration, which reduces vehicle speed and increases noise pollution. In this regard, scientific procedures must evolve to predict noise pollution levels. In this research, data was collected on the age of the pavement, the number of commercial vehicles, the noise level, and the condition of the pavement. This information was used to make a noise prediction model with the Multiple Linear Regression (MLR) technique and an R2 of 0.90. Environmental and highway engineers can use this study to predict noise pollution in pavement distress.
Relationship of Noise Level with Pavement Distresses
https://orcid.org/http://orcid.org/0000-0003-1512-1983
This paper predicted a noise level for Indian highways and developed a relationship between noise and pavement distress cracks (CR), potholes (PH), and the International Roughness Index (IRI). The government of India is investing huge amounts in road construction every year. Poor road construction quality and subsequent maintenance lead to faster road deterioration, which reduces vehicle speed and increases noise pollution. In this regard, scientific procedures must evolve to predict noise pollution levels. In this research, data was collected on the age of the pavement, the number of commercial vehicles, the noise level, and the condition of the pavement. This information was used to make a noise prediction model with the Multiple Linear Regression (MLR) technique and an R2 of 0.90. Environmental and highway engineers can use this study to predict noise pollution in pavement distress.
Relationship of Noise Level with Pavement Distresses
Lect.Notes Mechanical Engineering
Sethuraman, Balaguru (editor) / Jain, Pushpdant (editor) / Gupta, Manoj (editor) / Makendran, C. (author)
International Conference on Sustainable Technologies and Advances in Automation, Aerospace and Robotics ; 2022
2023-07-21
9 pages
Article/Chapter (Book)
Electronic Resource
English
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