The invention relates to a steel
bridge deck pavement sensing analysis
system and method based on multi-dimensional data. The method comprises the following steps: testing raw materials to obtain construction
retention time and interface parameters so as to guide mixture design, preparing a test piece according to the construction
retention time and the interface parameters, and measuring a
dynamic modulus main curve, a
fatigue damage model and
limit strain; establishing a reduced-
scale test piece finite
element model based on the main curve to predict bending-
tensile strain, and performing a fatigue test in combination with
limit strain to obtain reduced-scale life; obtaining a key
stress range of the steel plate through full-
scale model finite
element analysis, and formulating an acceleration loading scheme according to the key
stress range; loading is executed, multi-source
monitoring data are collected, and the full-scale final fatigue life is determined; calibrating a
fatigue damage model according to the service life; and finally evaluating the performance of the paving
system based on the calibration model, the main curve and the full-scale life. According to the closed-loop
verification process from the material to the
full scale, the prediction model is iteratively calibrated through multi-
scale test data, and the accuracy and reliability of long-term performance evaluation of the steel
bridge deck pavement
system are remarkably improved.