Lin Ma
Hohai University
11 Papers
46 Citations
Lin Ma is an academic researcher from Hohai University. The author has contributed to research in topics: Wind tunnel & Aerodynamic force. The author has an hindex of 5, co-authored 11 publications.
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Papers
A highly precise frequency-based method for estimating the tension of an inclined cable with unknown boundary conditions
TL;DR: In this article, the authors developed a method for precisely determining the tension of an inclined cable with unknown boundary conditions, including sag-extensibility, flexural stiffness, inclination angle and rotational stiffness at two ends.
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Determining the dynamic amplification factor of multi-span continuous box girder bridges in highways using vehicle-bridge interaction analyses
TL;DR: In this paper, the authors investigated the impact factors of continuous beam bridges in highway traffic and found that the DAF of the continuous beam bridge increases dramatically when resonance phenomena occur, indicating that the vehicle-bridge resonance is closely related to vehicle frequency, bridge frequency and the disturbance frequency caused by vehicle movement.
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Research on Stress Spectrum of Steel Decks in Suspension Bridge Considering Measured Traffic Flow
Bohai Ji,Dong-hua Chen,Lin Ma,Zhu-sheng Jiang,Guo-gang Shi,Lei Lv,Han-jiang Xu,Xiongwen Zhang +7 more
TL;DR: In this article, the authors investigated the traffic-induced stresses in the steel deck of a suspension bridge on the Yangtze River, taking into account the dependence of Young's modulus of asphalt pavement on temperature.
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Vibration of vehicle-bridge coupling system with measured correlated road surface roughness
Wanshui Han,Sujing Yuan,Lin Ma +2 more
TL;DR: In this paper, the authors investigated the effect of the correlation of the measured road roughness profiles corresponding to the left and right wheels of a vehicle on the vibration of the vehicle-bridge coupling system.
14
Nonlinear dynamic performance of long-span cable-stayed bridge under traffic and wind
TL;DR: In this paper, a three-dimensional nonlinear fully-coupled analytical model is developed to improve the dynamic performance prediction of long cable-stayed bridges under combined traffic and wind loads.
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