Abstract

Vehicle loads have long-term and repeated characteristics, affecting the service and safety performance of bridges. Therefore, the identification method of moving load is a meaningful research field. This paper proposes a novel method of moving load identification based on long-gauge strain sensing to solve the shortcomings of weigh-in-motion techniques and traditional monitoring technology. The theoretical derivation shows that the envelope area of the long-gauge strain influence line is directly proportional to the vehicle weight. The load identification is conducted based on this relation. Then, the extremum of the influence line is extracted by Laplace function fitting, which is used to identify the speed and wheelbase. A series of numerical simulations and experiments are carried out to verify the effectiveness of the proposed method. The numerical simulation results show that the identification errors of vehicle speed and gross vehicle weight (GVW) are less than 3%, and the overall error of the wheelbase is less than 5%. In addition, the experiment researchers present the identification error of GVW as less than 10%, which indicates that the proposed identification method has excellent practicability and robustness.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.