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Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques

Peak particle velocity (PPV) is a critical parameter for the evaluation of the impact of blasting operations on nearby structures and buildings. Accurate estimation of the amount of PPV resulting from a blasting operation and its comparison with the allowable ranges is an integral part of blasting d...

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Main Authors: Mahdiyar, Amir, Armaghani, Danial Jahed, Koopialipoor, Mohammadreza, Hedayat, Ahmadreza, Abdullah, Arham, Yahya, Khairulzan
Format: Article
Language:English
Published: MDPI AG 2020
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/90919/1/AmirMahdiyar2020_PracticalRiskAssessmentofGroundVibrations.pdf
http://eprints.utm.my/id/eprint/90919/
http://dx.doi.org/10.3390/app10020472
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spelling my.utm.909192021-05-31T13:40:18Z http://eprints.utm.my/id/eprint/90919/ Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques Mahdiyar, Amir Armaghani, Danial Jahed Koopialipoor, Mohammadreza Hedayat, Ahmadreza Abdullah, Arham Yahya, Khairulzan TA Engineering (General). Civil engineering (General) Peak particle velocity (PPV) is a critical parameter for the evaluation of the impact of blasting operations on nearby structures and buildings. Accurate estimation of the amount of PPV resulting from a blasting operation and its comparison with the allowable ranges is an integral part of blasting design. In this study, four quarry sites in Malaysia were considered, and the PPV was simulated using gene expression programming (GEP) and Monte Carlo simulation techniques. Data from 149 blasting operations were gathered, and as a result of this study, a PPV predictive model was developed using GEP to be used in the simulation. In order to ensure that all of the combinations of input variables were considered, 10,000 iterations were performed, considering the correlations among the input variables. The simulation results demonstrate that the minimum and maximum PPV amounts were 1.13 mm/s and 34.58 mm/s, respectively. Two types of sensitivity analyses were performed to determine the sensitivity of the PPV results based on the effective variables. In addition, this study proposes a method specific to the four case studies, and presents an approach which could be readily applied to similar applications with different conditions. MDPI AG 2020-01-01 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/90919/1/AmirMahdiyar2020_PracticalRiskAssessmentofGroundVibrations.pdf Mahdiyar, Amir and Armaghani, Danial Jahed and Koopialipoor, Mohammadreza and Hedayat, Ahmadreza and Abdullah, Arham and Yahya, Khairulzan (2020) Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques. Applied Sciences (Switzerland), 10 (2). pp. 1-17. ISSN 2076-3417 http://dx.doi.org/10.3390/app10020472 DOI:10.3390/app10020472
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Mahdiyar, Amir
Armaghani, Danial Jahed
Koopialipoor, Mohammadreza
Hedayat, Ahmadreza
Abdullah, Arham
Yahya, Khairulzan
Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques
description Peak particle velocity (PPV) is a critical parameter for the evaluation of the impact of blasting operations on nearby structures and buildings. Accurate estimation of the amount of PPV resulting from a blasting operation and its comparison with the allowable ranges is an integral part of blasting design. In this study, four quarry sites in Malaysia were considered, and the PPV was simulated using gene expression programming (GEP) and Monte Carlo simulation techniques. Data from 149 blasting operations were gathered, and as a result of this study, a PPV predictive model was developed using GEP to be used in the simulation. In order to ensure that all of the combinations of input variables were considered, 10,000 iterations were performed, considering the correlations among the input variables. The simulation results demonstrate that the minimum and maximum PPV amounts were 1.13 mm/s and 34.58 mm/s, respectively. Two types of sensitivity analyses were performed to determine the sensitivity of the PPV results based on the effective variables. In addition, this study proposes a method specific to the four case studies, and presents an approach which could be readily applied to similar applications with different conditions.
format Article
author Mahdiyar, Amir
Armaghani, Danial Jahed
Koopialipoor, Mohammadreza
Hedayat, Ahmadreza
Abdullah, Arham
Yahya, Khairulzan
author_facet Mahdiyar, Amir
Armaghani, Danial Jahed
Koopialipoor, Mohammadreza
Hedayat, Ahmadreza
Abdullah, Arham
Yahya, Khairulzan
author_sort Mahdiyar, Amir
title Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques
title_short Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques
title_full Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques
title_fullStr Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques
title_full_unstemmed Practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and Monte Carlo simulation techniques
title_sort practical risk assessment of ground vibrations resulting from blasting, using gene expression programming and monte carlo simulation techniques
publisher MDPI AG
publishDate 2020
url http://eprints.utm.my/id/eprint/90919/1/AmirMahdiyar2020_PracticalRiskAssessmentofGroundVibrations.pdf
http://eprints.utm.my/id/eprint/90919/
http://dx.doi.org/10.3390/app10020472
_version_ 1702169620378550272
score 13.211869

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