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CC BY V4.0, Open Access
Journal article
Secondary sonic boom predictions for U.S. coastlines
The Journal of the Acoustical Society of America, Vol.152(5), pp.2816-2827
11/2022
PMID: 36456270
Appears in Aviation Sustainability Center (ASCENT)
Abstract
This study examines the behavior of secondary sonic booms on United States (U.S.) coastlines to have a more complete understanding of the impact of supersonic travel on communities. Secondary sonic booms occur when the atmospheric conditions are such that the atmospheric refraction causes the sound that would ordinarily not reach the ground to bend toward the ground. NASA's PCBoom software is a preferred simulation tool to predict the location and pressure signatures of sonic booms. It was expanded to include secondary boom propagation but has not yet been rigorously used for secondary sonic booms in a variety of conditions. This study looks at how secondary sonic booms change throughout the year and how they behave at different U.S. coastline locations. A detailed analysis of the variability of the atmospheric conditions and how they affect the arrival locations of secondary sonic booms is provided. Good agreement is found between PCBoom and previous work for the arrival locations of secondary sonic booms, which are shown to affect the U.S. east coast predominantly during the summer months and the U.S. west coast during the winter months for projected U.S. inbound supersonic flight scenarios of potential overseas travel.
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Details
- Title
- Secondary sonic boom predictions for U.S. coastlines
- Creators
- Kimberly A. Riegel - Farmingdale State CollegeVictor W. Sparrow - Pennsylvania State University
- Publication Details
- The Journal of the Acoustical Society of America, Vol.152(5), pp.2816-2827
- Academic Unit
- Aviation Sustainability Center (ASCENT); Noise
- Grants
- 13-C-AJFE-PSU-021, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-PSU-055, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99901007836101842
- Language
- English
- Resource Type
- Journal article