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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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/2/472 |
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| author | Amir Mahdiyar Danial Jahed Armaghani Mohammadreza Koopialipoor Ahmadreza Hedayat Arham Abdullah Khairulzan Yahya |
| author_facet | Amir Mahdiyar Danial Jahed Armaghani Mohammadreza Koopialipoor Ahmadreza Hedayat Arham Abdullah Khairulzan Yahya |
| author_sort | Amir Mahdiyar |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-22T11:16:26Z |
| format | Article |
| id | doaj.art-0dee9db107854ba394a383e842e51ad8 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-22T11:16:26Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-0dee9db107854ba394a383e842e51ad82022-12-21T18:28:00ZengMDPI AGApplied Sciences2076-34172020-01-0110247210.3390/app10020472app10020472Practical Risk Assessment of Ground Vibrations Resulting from Blasting, Using Gene Expression Programming and Monte Carlo Simulation TechniquesAmir Mahdiyar0Danial Jahed Armaghani1Mohammadreza Koopialipoor2Ahmadreza Hedayat3Arham Abdullah4Khairulzan Yahya5School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor 81310, MalaysiaInstitute of Research and Development, Duy Tan University, Da Nang 550000, VietnamFaculty of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran 15914, IranDepartment of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO 80401, USAUniversiti Malaysia Kelantan, Beg Bercunci No. 01, Bachok, Kelantan 16300, MalaysiaSchool of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor 81310, MalaysiaPeak 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.https://www.mdpi.com/2076-3417/10/2/472ground vibrationblasting operationgene expression programmingmonte carlo simulation |
| spellingShingle | Amir Mahdiyar Danial Jahed Armaghani Mohammadreza Koopialipoor Ahmadreza Hedayat Arham Abdullah Khairulzan Yahya Practical Risk Assessment of Ground Vibrations Resulting from Blasting, Using Gene Expression Programming and Monte Carlo Simulation Techniques Applied Sciences ground vibration blasting operation gene expression programming monte carlo simulation |
| title | 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_short | 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 |
| topic | ground vibration blasting operation gene expression programming monte carlo simulation |
| url | https://www.mdpi.com/2076-3417/10/2/472 |
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