Predictive Modelling for Blasting-Induced Vibrations from Open-Pit Excavations

نویسندگان

چکیده

Reliable estimates of peak particle velocity (PPV) from blasting-induced vibrations at a construction site play crucial role in minimizing damage to nearby structures and maximizing blasting efficiency. However, reliably estimating PPV can be challenging due complex connections between influential factors such as ground conditions. While many efforts have been made estimate reliably, discrepancies remain measured predicted PPVs. Here, we analyzed various methods for assessing with several key relevant 1191 monitored field records 50 different open-pit sites across South Korea minimize the discrepancies. Eight prediction models are used based on artificial neural network, conventional empirical formulas, multivariable regression analyses. Seven were selected develop models, including three newly included four already formulated formulas. The identified significant influence PPV, well existing factors, through sensitivity analysis. PPVs compared evaluate performances models. assessment by an network yielded lowest errors, K m proposed preliminary designs.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2021

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app11167487