What question did this study set out to answer?

The central aim is to reconstruct stress fields in roadway surrounding rock efficiently using Physics-informed Neural Networks.

March 30, 2026Journal of industrial safety.Open Access

Physics-informed neural networks for stress field reconstruction in roadway surrounding rock

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Authors

QZQiang ZhangXihua University SZShucheng ZhangNorth China Electric Power University XDXiangwei DongShandong University of Science and Technology

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Implication

Demonstrates a method to reconstruct stress fields in roadway surrounding rock using displacement data, indicating improvements over traditional numerical simulations.

Key Points

The central aim is to reconstruct stress fields in roadway surrounding rock efficiently using Physics-informed Neural Networks.
Proposed a reconstruction method using Physics-informed Neural Networks (PINNs).
Incorporated solid mechanics equilibrium equations into the loss function.
Developed training and optimization processes on MATLAB for multi-constraint loss functions.
Parsed displacement gradients via automatic differentiation.
Discretized the computational domain using collocation points.
Achieved less than 1.5% error in displacement and stress fields in optimal scenarios.
Maximum error did not exceed 6% in scenarios with sparse collocation points.
Demonstrated that prediction accuracy of PINNs matches finite elements in 2D and 3D predictions.
Required internal collocation point density of 20×20 to maintain errors below 5%.
Effectively captured stress concentration areas using roadway deformation data.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69c9c553f8fdd13afe0bd430 https://doi.org/10.1016/j.jinse.2025.12.006

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Implication

Demonstrates a method to reconstruct stress fields in roadway surrounding rock using displacement data, indicating improvements over traditional numerical simulations.

Physics-informed neural networks for stress field reconstruction in roadway surrounding rock

Discussion

Member takes

Implication

Key Points

Cite This Study

Physics-informed neural networks for stress field reconstruction in roadway surrounding rock

Discussion

Member takes

Implication

Key Points

Cite This Study

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