A data-driven based jointed rock mass stress wave propagation calculation method and system
By constructing a data-driven binary discrete model of rock-joint, and integrating viscous dynamic artificial boundary with equivalent nodal force input, the inaccuracy of simulation of stress wave propagation in jointed rock mass in existing technologies is solved, achieving high-fidelity simulation and accurate capture of complex dynamic characteristics.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN UNIV
- Filing Date
- 2026-05-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing numerical simulation methods for jointed rock masses rely on empirical constitutive models, which makes it difficult to accurately simulate nonlinear and discrete characteristics. Furthermore, they lack precise input of seismic motion and wave energy radiation mechanisms, making it impossible to effectively simulate stress wave propagation.
A data-driven approach was adopted to construct a binary discrete computational model of rock-joint, which integrates viscous dynamic artificial boundary and equivalent nodal force input mechanism, and simulates the stress wave propagation process by iteratively solving the problem through an alternating minimization algorithm.
It achieves high-fidelity simulation of stress wave propagation in jointed rock mass, accurately captures complex dynamic characteristics such as transient stiffness hardening, wave transmission and reflection, and multipath scattering, solves the uncertainty and numerical oscillation problems of traditional methods, and provides a reliable numerical analysis paradigm.
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