US 11,988,579 B2
Derivation method of diagnosing a state of a superstructure, derivation device, derivation system, and program
Yoshihiro Kobayashi, Komagane (JP)
Assigned to SEIKO EPSON CORPORATION, (JP)
Filed by SEIKO EPSON CORPORATION, Tokyo (JP)
Filed on Jun. 29, 2022, as Appl. No. 17/852,544.
Claims priority of application No. 2021-108921 (JP), filed on Jun. 30, 2021.
Prior Publication US 2023/0003609 A1, Jan. 5, 2023
Int. Cl. G01M 5/00 (2006.01)
CPC G01M 5/0041 (2013.01) [G01M 5/0008 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A derivation method for causing a processor to execute a process, the derivation method comprising executing on the processor the steps of:
acquiring time-series data including acceleration generated at a predetermined observation point of a superstructure of a bridge as a response caused by a movement of a formation moving vehicle formed with one or more moving vehicles on the superstructure, a value of the acceleration being detected by an acceleration sensor disposed at the predetermined observation point of the superstructure;
acquiring, as environment information, information on a structure length that is a length of the superstructure, a moving vehicle length that is a length of the formation moving vehicle, and an installation position of each of a plurality of wheels of the formation moving vehicle with the superstructure;
deriving an entry time point and an exit time point of the formation moving vehicle with respect to the superstructure, based on the time-series data;
acquiring a number of the one or more moving vehicles formed in the formation moving vehicle;
acquiring an estimated value of a third deflection amount of the superstructure at the predetermined observation point due to a first static response generated as the response, based on the number of the one or more moving vehicles, the entry time point, the exit time point, the environment information, and a deflection model of the superstructure;
deriving a dynamic response at a designated position based on:
a fourth deflection amount normalized by a first vibration component of the dynamic response, the first vibration component corresponding to a difference between the time-series data and the estimated value, the fourth deflection amount being derived based on the deflection model and the first vibration component;
an amplitude ratio of
a first deflection amount that is normalized and indicates a distribution of a vibration amplitude at the predetermined observation point to
a second deflection amount that is the normalized and indicates a distribution of the vibration amplitude at the designated position of the superstructure, the designated position being different from the predetermined observation point;
a second vibration component of the designated position derived based on the first vibration component and the amplitude ratio; and
a second static response of the designated position derived based on the time-series data and the estimated value; and
diagnosing a state of the superstructure of the bridge at the designated position based on the dynamic response.