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Structural Engineering and Mechanics
  Volume 70, Number 2, April25 2019 , pages 169-178

Traffic control technologies without interruption for component replacement of long-span bridges using microsimulation and site-specific data
Junyong Zhou, Xuefei Shi, Liwen Zhang and Zuo Sun

    The replacement of damaged components is an important task for long-span bridges. Conventional strategy for component replacement is to close the bridge to traffic, so that the influence of the surrounding environment is reduced to a minimum extent. However, complete traffic interruption would bring substantial economic losses and negative social influence nowadays. This paper investigates traffic control technologies without interruption for component replacement of long-span bridges. A numerical procedure of traffic control technologies is proposed incorporating traffic microsimulation and site-specific data, which is then implemented through a case study of cable replacement of a long-span cable-stayed bridge. Results indicate traffic load effects on the bridge are lower than the design values under current low daily traffic volume, and therefore cable replacement could be conducted without traffic control. However, considering a possible medium or high level of daily traffic volume, traffic load effects of girder bending moment and cable force nearest to the replaced cable become larger than the design level. This indicates a potential risk of failure, and traffic control should be implemented. Parametric studies show that speed control does not decrease but increase the load effects, and flow control using lane closure is not effectual. However, weight control and gap control are very effective to mitigate traffic load effects, and it is recommended to employ a weight control with gross vehicle weight no more than 65 t or/and a gap control with minimum vehicle gap no less than 40 m for the cable replacement of the case bridge.
Key Words
    long-span bridge; component replacement; traffic control; load effect; microsimulation; multi-axle single-cell cellular automaton (MSCA)
Junyong Zhou, Liwen Zhang and Zuo Sun: College of Civil Engineering, Guangzhou University, 230 West Waihuan Road, Guangzhou, Guangdong 510006, China
Xuefei Shi: Department of Bridge Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China

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