A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model     

Azam Shahnazar  Hima Nikafshan Rad  Mahdi Hasanipanah  M. M. Tahir  Danial Jahed Armaghani  Mahyar Ghoroqi 《Environmental Earth Sciences》2017,76(15):527

Ground vibration is one of the common environmental effects of blasting operation in mining industry, and it may cause damage to the nearby structures and the surrounding residents. So, precise estimation of blast-produced ground vibration is necessary to identify blast-safety area and also to minimize environmental effects. In this research, a hybrid of adaptive neuro-fuzzy inference system (ANFIS) optimized by particle swarm optimization (PSO) was proposed to predict blast-produced ground vibration in Pengerang granite quarry, Malaysia. For this goal, 81 blasting were investigated, and the values of peak particle velocity, distance from the blast-face and maximum charge per delay were precisely measured. To demonstrate the performance of the hybrid PSO–ANFIS, ANFIS, and United States Bureau of Mines empirical models were also developed. Comparison of the predictive models was demonstrated that the PSO–ANFIS model [with root-mean-square error (RMSE) 0.48 and coefficient of determination (R ²) of 0.984] performed better than the ANFIS with RMSE of?1.61 and R ² of 0.965. The mentioned results prove the superiority of the newly developed PSO–ANFIS model in estimating blast-produced ground vibrations.  相似文献   

Neuro-fuzzy technique to predict air-overpressure induced by blasting     

Danial Jahed Armaghani  Mohsen Hajihassani  Houman Sohaei  Edy Tonnizam Mohamad  Aminaton Marto  Hossein Motaghedi  Mohammad Reza Moghaddam 《Arabian Journal of Geosciences》2015,8(12):10937-10950

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Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review     

M. Hajihassani  D. Jahed Armaghani  R. Kalatehjari 《Geotechnical and Geological Engineering》2018,36(2):705-722

Particle swarm optimization (PSO) is an evolutionary computation approach to solve nonlinear global optimization problems. The PSO idea was made based on simulation of a simplified social system, the graceful but unpredictable choreography of birds flock. This system is initialized with a population of random solutions that are updated during iterations. Over the last few years, PSO has been extensively applied in various geotechnical engineering aspects such as slope stability analysis, pile and foundation engineering, rock and soil mechanics, and tunneling and underground space design. A review on the literature shows that PSO has utilized more widely in geotechnical engineering compared with other civil engineering disciplines. This is due to comprehensive uncertainty and complexity of problems in geotechnical engineering which can be solved by using the PSO abilities in solving the complex and multi-dimensional problems. This paper provides a comprehensive review on the applicability, advantages and limitation of PSO in different disciplines of geotechnical engineering to provide an insight to an alternative and superior optimization method compared with the conventional optimization techniques for geotechnical engineers.  相似文献   

A Combination of Expert-Based System and Advanced Decision-Tree Algorithms to Predict Air-Overpressure Resulting from Quarry Blasting     

He  Ziguang  Armaghani  Danial Jahed  Masoumnezhad  Mojtaba  Khandelwal  Manoj  Zhou  Jian  Murlidhar  Bhatawdekar Ramesh 《Natural Resources Research》2021,30(2):1889-1903

Natural Resources Research - This study combined a fuzzy Delphi method (FDM) and two advanced decision-tree algorithms to predict air-overpressure (AOp) caused by mine blasting. The FDM was used...  相似文献   

A Novel Combination of Gradient Boosted Tree and Optimized ANN Models for Forecasting Ground Vibration Due to Quarry Blasting     

Peng  Kang  Zeng  Jie  Armaghani  Danial Jahed  Hasanipanah  Mahdi  Chen  Qiusong 《Natural Resources Research》2021,30(6):4657-4671

Natural Resources Research - An ensemble technique namely gradient boosted tree (GBTs) and several optimized neural network models were hybridized to predict peak particle velocity (PPV) caused by...  相似文献   

A Combination of Fuzzy Delphi Method and ANN-based Models to Investigate Factors of Flyrock Induced by Mine Blasting     

Li  Diyuan  Koopialipoor  Mohammadreza  Armaghani  Danial Jahed 《Natural Resources Research》2021,30(2):1905-1924

Natural Resources Research - The identification of parameters that affect mining is one of the requirements in executive work in this field. Due to the dangers of flyrock, studying the role of the...  相似文献   

Random Forest and Bayesian Network Techniques for Probabilistic Prediction of Flyrock Induced by Blasting in Quarry Sites     

Han  Han  Jahed Armaghani  Danial  Tarinejad  Reza  Zhou  Jian  Tahir  M. M. 《Natural Resources Research》2020,29(2):655-667

Natural Resources Research - Flyrock is one of the most important environmental and hazardous issues in mine blasting, which can affect equipment and people, and may lead to fatal accidents....  相似文献   

Evaluation and Optimization of Prediction of Toe that Arises from Mine Blasting Operation Using Various Soft Computing Techniques     

Sadeghi  Farhang  Monjezi  Masoud  Jahed Armaghani  Danial 《Natural Resources Research》2020,29(2):887-903

Natural Resources Research - Drilling and blasting operations are one of the most effective techniques for rock removal in mines. However, these operations are associated with some environmental...  相似文献   

A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock     

Murlidhar  Bhatawdekar Ramesh  Kumar  Deepak  Jahed Armaghani  Danial  Mohamad  Edy Tonnizam  Roy  Bishwajit  Pham  Binh Thai 《Natural Resources Research》2020,29(6):4103-4120

Natural Resources Research - Blasting is an economical technique for rock breaking in hard rock excavation. One of its complex undesired environmental effects is flyrock, which may result in human...  相似文献   

Artificial Neural Network and Firefly Algorithm for Estimation and Minimization of Ground Vibration Induced by Blasting in a Mine     

Bayat  Parichehr  Monjezi  Masoud  Rezakhah  Mojtaba  Armaghani  Danial Jahed 《Natural Resources Research》2020,29(6):4121-4132

Natural Resources Research - It is of a high importance to introduce intelligent systems for estimation and optimization of blasting-induced ground vibration because it is one the most unwanted...  相似文献