Applications of two neuro-based metaheuristic techniques in evaluating ground vibration resulting from tunnel blasting

Armaghani, Danial Jahed and He, Biao and Mohamad, Edy Tonnizam and Zhang, Y. X. and Lai, Sai Hin and Ye, Fei (2023) Applications of two neuro-based metaheuristic techniques in evaluating ground vibration resulting from tunnel blasting. Mathematics, 11 (1). ISSN 2227-7390, DOI https://doi.org/10.3390/math11010106.

Full text not available from this repository.

Abstract

Peak particle velocity (PPV) caused by blasting is an unfavorable environmental issue that can damage neighboring structures or equipment. Hence, a reliable prediction and minimization of PPV are essential for a blasting site. To estimate PPV caused by tunnel blasting, this paper proposes two neuro-based metaheuristic models: neuro-imperialism and neuro-swarm. The prediction was made based on extensive observation and data collecting from a tunnelling project that was concerned about the presence of a temple near the blasting operations and tunnel site. A detailed modeling procedure was conducted to estimate PPV values using both empirical methods and intelligence techniques. As a fair comparison, a base model considered a benchmark in intelligent modeling, artificial neural network (ANN), was also built to predict the same output. The developed models were evaluated using several calculated statistical indices, such as variance account for (VAF) and a-20 index. The empirical equation findings revealed that there is still room for improvement by implementing other techniques. This paper demonstrated this improvement by proposing the neuro-swarm, neuro-imperialism, and ANN models. The neuro-swarm model outperforms the others in terms of accuracy. VAF values of 90.318% and 90.606% and a-20 index values of 0.374 and 0.355 for training and testing sets, respectively, were obtained for the neuro-swarm model to predict PPV induced by blasting. The proposed neuro-based metaheuristic models in this investigation can be utilized to predict PPV values with an acceptable level of accuracy within the site conditions and input ranges used in this study.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Tunnel blasting; Peak particle velocity; Metaheuristic algorithms; Neuro-swarm; Neuro-imperialism
Subjects: Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Civil Engineering
Depositing User: Ms Zaharah Ramly
Date Deposited: 04 Jul 2023 07:53
Last Modified: 04 Jul 2023 07:53
URI: http://eprints.um.edu.my/id/eprint/38957

Actions (login required)

View Item View Item