Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques
Ground vibration (GV) is a blasting consequence and is an important parameter to control in mining and civil projects. Previous GV predictor models have mainly been developed considering two factors; charge per delay and distance from the blast-face. However, mostly the presence of the water as an i...
محفوظ في:
المؤلفون الرئيسيون: | Monjezi, M., Baghestani, M., Shirani Faradonbeh, R., Pourghasemi Saghand, M., Jahed Armaghani, D. |
---|---|
التنسيق: | مقال |
منشور في: |
Springer-Verlag London Ltd
2016
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/72047/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962713517&doi=10.1007%2fs00366-016-0448-z&partnerID=40&md5=c340d8f620c552b8f651a3a72351f8a1 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction
بواسطة: Shirani Faradonbeh, R., وآخرون
منشور في: (2016) -
Artificial neural network and firefly algorithm for estimation and minimization of ground vibration induced by blasting in a mine
بواسطة: Bayat, Parichehr, وآخرون
منشور في: (2020) -
Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation
بواسطة: Shirani Faradonbeh, R., وآخرون
منشور في: (2016) -
Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach
بواسطة: Hajihassani, Mohsen, وآخرون
منشور في: (2015) -
Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique
بواسطة: Faradonbeh, R. S., وآخرون
منشور في: (2016)