دورية أكاديمية
Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique
| العنوان: | Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique |
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| المؤلفون: | Zhaoxin Jiang, Hongyan Xu, Hui Chen, Bei Gao, Shijie Jia, Zhi Yu, Jian Zhou |
| المصدر: | Advances in Civil Engineering, Vol 2021 (2021) |
| بيانات النشر: | Wiley, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | The accurate determination of blast-induced ground vibration has an important significance in protecting human activities and the surrounding environment. For evaluating the peak particle velocity resulting from the quarry blast, a robust artificial intelligence system combined with the salp swarm algorithm (SSA) and Gaussian process (GP) was proposed, and the SSA was used to find the optimal hyperparameters of the GP here. In this regard, 88 datasets with 9 variables including the ratio of bench height to burden (H/B) and the ratio of spacing to burden (S/B) were selected as the input variables, while peak particle velocity (PPV) was measured. Then, an ANN model, an SVR model, a GP model, an SSA-GP model, and three empirical models were established, and the predictive performance was evaluated by using the root-mean-square error (RMSE), determination coefficient (R2), value account for (VAF), Akaike Information Criterion (AIC), Schwarz Bayesian Criterion (SBC), and the run time. After comparing, it is found that the proposed SSA-GP yielded a superior performance and the ratio of bench height to burden (H/B) was the most sensitive variable. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-8086 1687-8094 |
| Relation: | https://doaj.org/toc/1687-8086; https://doaj.org/toc/1687-8094 |
| DOI: | 10.1155/2021/6694918 |
| URL الوصول: | https://doaj.org/article/a94535f7a1ab4a1b80347c2c9f261a31 |
| رقم الأكسشن: | edsdoj.94535f7a1ab4a1b80347c2c9f261a31 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 16878086 16878094 |
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| DOI: | 10.1155/2021/6694918 |