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Noise comparison of Argo Parahyangan train in different class and journey time
Zakri K.W.a, Sudarsono A.S.a, Sarwono J.a, Utami S.S.b, Hidayah N.a, Hamdani N.N.a
a Laboratory of building Physics and Acoustics, Engineering Physics, Institut Teknologi Bandung, Bandung, Indonesia
b Acoustics and Visual Studio, Engineering Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 American Institute of Physics Inc. All rights reserved.Acoustic comfort is an important aspect of a train. One of the common methods to analyze the acoustic comfort of a train is based on the noise measurement. Argo Parahyangan is one of most popular train in Indonesia. This train consists of the economy and executive cabin and operated started from 04.00-20.00 WIB. This study tries to analyze the noise characteristic of Argo Parahyangan at different times of journey and class. Two-time variations of the journey (daytime trip and night trip) and classes (executive and economy) are investigated in this study. The noise measurement shows the noise level in the cabin is around 68 dBA – 74 dBA. Ä°n the low frequency (25 Hz – 315 Hz) of both time variations, the executive class is noisier than economy class. The maximum sound level difference is around 8 dB. In 315 Hz – 8000 Hz, the executive class at night is noisier than the economy class at night with the maximum level difference at 4 dB. At daytime, the noise level in the economy class is higher (315 Hz – 6300 Hz with the maximum level difference at 4.3 dB) than the executive class due to passenger’s conversation.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]The authors would like to acknowledge for the publication support provided by Pusat Unggulan IPTEK – Sustainable Transportation Technology (PUI – STT) Institut Teknologi Bandung, Bandung, Indonesia.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1063/1.5095348[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]