User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile Driving
Driven piles are a common geotechnical solution for foundations in weak soil profiles. However, hammer impacts during the driving process can generate excessive levels of ground vibration, which, in extreme cases, can affect nearby structures and people. Due to the complexity of wave propagation in...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Vibration |
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| Online Access: | https://www.mdpi.com/2571-631X/8/2/17 |
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| author | Ahmed M. Abouelmaty Aires Colaço Pedro Alves Costa |
| author_facet | Ahmed M. Abouelmaty Aires Colaço Pedro Alves Costa |
| author_sort | Ahmed M. Abouelmaty |
| collection | DOAJ |
| description | Driven piles are a common geotechnical solution for foundations in weak soil profiles. However, hammer impacts during the driving process can generate excessive levels of ground vibration, which, in extreme cases, can affect nearby structures and people. Due to the complexity of wave propagation in soils, the accurate prediction of these vibrations typically requires advanced numerical modeling approaches. To address this challenge, a surrogate modeling framework was developed by integrating Artificial Neural Networks (ANNs) and Extreme Gradient Boosting (XGBoost), trained on a synthetic dataset generated from an experimentally validated numerical model. The proposed surrogate model enables the rapid prediction of ground vibration characteristics, including peak particle velocity (PPV) and frequency content, across a broad range of soil, pile, and hammer conditions. In addition to its predictive capabilities, the tool allows users to design a specific mitigation measure (open trench) and compare the vibration levels with international standards. Experimental validation confirmed the model’s ability to replicate field measurements with acceptable accuracy. The expedited prediction tool is available as supplemental data and can be used by other researchers and technicians for quick and accurate ground vibration predictions. |
| format | Article |
| id | doaj-art-5f8f05c6d72b45a8b0f16730fe0de10e |
| institution | Kabale University |
| issn | 2571-631X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vibration |
| spelling | doaj-art-5f8f05c6d72b45a8b0f16730fe0de10e2025-08-20T03:29:43ZengMDPI AGVibration2571-631X2025-04-01821710.3390/vibration8020017User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile DrivingAhmed M. Abouelmaty0Aires Colaço1Pedro Alves Costa2CONSTRUCT, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, PortugalCONSTRUCT, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, PortugalCONSTRUCT, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, PortugalDriven piles are a common geotechnical solution for foundations in weak soil profiles. However, hammer impacts during the driving process can generate excessive levels of ground vibration, which, in extreme cases, can affect nearby structures and people. Due to the complexity of wave propagation in soils, the accurate prediction of these vibrations typically requires advanced numerical modeling approaches. To address this challenge, a surrogate modeling framework was developed by integrating Artificial Neural Networks (ANNs) and Extreme Gradient Boosting (XGBoost), trained on a synthetic dataset generated from an experimentally validated numerical model. The proposed surrogate model enables the rapid prediction of ground vibration characteristics, including peak particle velocity (PPV) and frequency content, across a broad range of soil, pile, and hammer conditions. In addition to its predictive capabilities, the tool allows users to design a specific mitigation measure (open trench) and compare the vibration levels with international standards. Experimental validation confirmed the model’s ability to replicate field measurements with acceptable accuracy. The expedited prediction tool is available as supplemental data and can be used by other researchers and technicians for quick and accurate ground vibration predictions.https://www.mdpi.com/2571-631X/8/2/17ground-borne vibrationspile drivingsurrogate modelartificial intelligenceuser-friendly tool |
| spellingShingle | Ahmed M. Abouelmaty Aires Colaço Pedro Alves Costa User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile Driving Vibration ground-borne vibrations pile driving surrogate model artificial intelligence user-friendly tool |
| title | User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile Driving |
| title_full | User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile Driving |
| title_fullStr | User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile Driving |
| title_full_unstemmed | User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile Driving |
| title_short | User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile Driving |
| title_sort | user friendly tool for expedited ground vibration assessment induced by impact pile driving |
| topic | ground-borne vibrations pile driving surrogate model artificial intelligence user-friendly tool |
| url | https://www.mdpi.com/2571-631X/8/2/17 |
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