Chapter
Apr 26, 2012
Reproduction Method of Random Pavement Roughness in Laboratory
Authors: Bin Wang [email protected], Xuexun Guo, Shengbing Yang, Mengliang Li, and Zhan XuAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
This article presents a study of random pavement roughness reproduction method in laboratory. At a certainty velocity, with Partial Wave Adding, road power spectral density (PSD) was reconstructed to obtain road surface roughness in time domain and this signal was therewith acted as the required recurrent target signal; then, white noise as input was used to identify the system frequency response function (FRF); finally, in order to satisfy the presumptive error precision, reiteration method was used to made test system's response approach target signal. The experiment example shows the validity of this method.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Engineering fundamentals
- Flow (fluid dynamics)
- Fluid dynamics
- Fluid mechanics
- Fluid velocity
- Frequency analysis
- Gravels
- Highway and road management
- Highway transportation
- Highways and roads
- Hydrologic engineering
- Infrastructure
- Laboratory tests
- Pavement condition
- Pavement surface roughness
- Pavements
- Power spectral density
- Statistical analysis (by type)
- Tests (by type)
- Traffic engineering
- Traffic management
- Traffic signals
- Transportation engineering
- Water and water resources
- Wave spectrum
- Wave velocity
Authors
Affiliations
School of Automobile Engineering, Wuhan University of Technology, Wuhan 430070, China. E-mail: [email protected]
Xuexun Guo
School of Automobile Engineering, Wuhan University of Technology, Wuhan 430070, China
Shengbing Yang
School of Automobile Engineering, Wuhan University of Technology, Wuhan 430070, China
Mengliang Li
China Automobile Technology & Research Center, Tianjin 300162, China
Zhan Xu
School of Automobile Engineering, Wuhan University of Technology, Wuhan 430070, China
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