Abstract: The mechanical strength of rock samples is a very important indicator in engineering practice, which can be used for the basic mechanical parameters of geotechnical engineering design and construction. Therefore, the ability to quickly and accurately obtain the compressive strength of rock samples is of great engineering significance for ensuring engineering quality, construction safety, and schedule. This study focuses on the red mudstone soft rock samples and proposes a rock strength testing method that combines rebound and wave velocity. A strength prediction model is established using binary nonlinear regression equations to achieve the goal of quickly, accurately, and non-destructive prediction of rock samples strength. Practice has shown that this rebound wave velocity test method is convenient for quickly, accurately, and conveniently obtaining the strength value of rock samples, improving the timeliness and economy of obtaining mechanical strength indicators in engineering construction projects, improving production efficiency, saving engineering costs, and providing new ideas and approaches for studying the mechanical properties of red mudstone soft rock samples and solving practical engineering problems.

Key words: Resilience, Wave Velocity, Regression Analysis, Strength Prediction