Yingkang Yao

Abstract The conventional Anderson model provides a physically interpretable approach to waveform-based blast vibration prediction but requires a measured single-hole response, which is often unavailable in tunnel construction. This study proposes an inversion-based Anderson framework that reconstructs station-specific equivalent single-source responses from multi-hole production blasting records and uses them for forward prediction under modified delay and charge configurations.

Abstract Blasting demolition is widely used to remove large structures, but the resulting ground vibration can threaten nearby buildings and underground facilities. This vibration arises from explosive detonation and structural impact during collapse, giving it source mechanisms, wave components and attenuation behaviours that differ from those of underground blasting. Conventional peak and frequency indices cannot fully identify these contributions.

Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References 1, , , , , and , “A Self-Organizing Fuzzy Logic Classifier for Benchmarking Robot-Aided Blasting of Ship Hulls,” Sensors (Basel) 20, no. 11 (2020): 3215. 2 and , “Dynamic Analysis and Intelligent Control Techniques for Flexible Manipulators: A Review,” Advanced Robotics 28, no.