Quantitative prediction method for ultrasonic wave velocity of concrete in arch bridge tube based on parallel multi-chain DRAM (Dynamic Random Access Memory) model

The invention relates to a method for quantitatively predicting the ultrasonic wave velocity of concrete in an arch bridge tube based on a parallel multi-chain DRAM (Dynamic Random Access Memory) model. An index system comprises a water-cement ratio W/B of the concrete in the arch bridge tube, an aggregate particle size d, an age t, an ultrasonic wave velocity V, a combustion period T, a self-adaptive step length delta t, a receiving probability order N, an initial matrix R, an N-order receiving probability and a parallel multi-chain number n; the method comprises the following steps: 1, collecting 28d compressive strength fc of concrete and aggregate particle size d of a to-be-detected concrete-filled steel tube arch bridge, and obtaining actually measured ultrasonic wave velocity detection data of a construction site laboratory; step 2, inputting the engineering parameters and the actually measured ultrasonic wave velocity detection data into a pre-established model; the built model is a model obtained by c