Smartphone-Based and Data-Driven Superstructure State Prediction Method for Highway Bridges in Service

Abstract

Survival analysis is a data-driven approach that is widely used in various fields of biomedical prognostic research, and it is highly reliable in the processing of time-event data. This study developed a method for evaluating the service performance of bridge superstructures using the built-in acceleration sensor of smartphones and the prediction of survival analysis theory. It will be used to assist in the daily maintenance and repair of small and medium bridges. The effects of the upper load-bearing structure, upper general structure, bearings, deck paving, expansion joints, and frequency ratio on the deterioration of the bridge superstructure were investigated. The results show that the first-order vibration frequency of the bridge can be effectively detected by the built-in acceleration sensor of the mobile phone, but its low sensitivity and high output noise make it impossible to accurately detect the higher-order frequencies of the bridge. The upper load-bearing members, the upper general structure, the bearing, the deck pavement, and the frequency ratio are all related to the changing trend of the technical condition level of the bridge superstructure.

Smartphone Prospects in Bridge Structural Health Monitoring, a Literature Review

“…The set could be further extended if considering non-bridge infrastructure, and their distributions among LoMs and temporal trends are noted. As a reminder, LoM1 corresponds to contact and stationary accelerometer readings, e.g., [ 152 , 153 ], LoM2 represents noncontact and vision-based readings, e.g., [ 154 ], and LoM3 refers to drive-by or vehicular bridge monitoring (e.g., [ 37 ]) and arguably can also take different indirect forms, such as pedestrian-carried sensors, e.g., [ 155 ]. Figure 14 presents four relevant metrics.…”

Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods

“…This Special Issue on “Advanced Vibration-Based Fault Diagnosis and Vibration Control Methods” includes twelve papers ranging across different methods used in the electrical and mechanical industries’ systems. The papers include a good literature review of the current new works on the verification of mechanical properties identification based on the impulse excitation technique and mobile device measurements [ 4 ], the method for bearing fault diagnosis under variable speeds based on envelope spectrum fault characteristic frequency band identification [ 5 ], the interface design of head-worn display applications for condition monitoring in aviation [ 6 ], color recurrence plots for bearing fault diagnoses [ 7 ], the failure mode detection and validation of a shaft-bearing system with common sensors [ 8 ], the strain response and buckling behavior of composite cylindrical shells subjected to external pressure with one end fixed and the other free of boundary conditions [ 9 ], the smartphone-based and data-driven superstructure state prediction method for highway bridges in service [ 10 ], the optimal control algorithm for stochastic systems with parameter drift [ 11 ], the nonlinear vibration control experimental system design of a flexible arm using interactive actuations from shape memory alloy [ 12 ], the design of an active vibration isolation controller with a disturbance observer-based linear quadratic regulator for optical reference cavities [ 13 ], the applicability of touchscreens in manned/unmanned aerial vehicle cooperative missions [ 14 ], and the engineering frequency domain analysis and vibration suppression of flexible aircraft based on an active disturbance rejection controller [ 15 ].…”

“…The safety status prediction and real-time health monitoring of current bridge structures are very useful for small- and medium-span bridge structures. Duan et al [ 10 ] presented a method based on the survival analysis theory to evaluate the service performance of bridge superstructures. The method can assist in the daily repair and maintenance of small and medium bridges.…”