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Wooden components were removed from ancient buildings and used as experimental materials. The drilling curve and feed curve were generated from data collected by a resistograph, and the wood density was predicted by using the information diffusion model. A significant correlation was observed between the data for micro-drilling resistance and wood density. The information diffusion methodology was able to predict the wood density by the nonlinear method very well. Using the two-curve effect weight, when the drilling curve data and the feed curve data were 0.2 and 0.8, respectively, the error was minimum, with an average relative error of 3.82%. Therefore, the data supported on-site ancient building repair work.

Analysis of the density of wooden components in ancient buildings by micro-drilling resistance, using information diffusion