Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review
The mixture proportioning of conventional concrete is commonly established using
regression analysis of experimental data. However, such traditional empirical procedures …
regression analysis of experimental data. However, such traditional empirical procedures …
Selective separation of metals from wastewater using sulfide precipitation: A critical review in agents, operational factors and particle aggregation
X Zhang, L Zeng, Y Wang, J Tian, J Wang… - Journal of …, 2023 - Elsevier
Extensive research has been conducted on the separation and recovery of heavy metals
from wastewater through the targeted precipitation of metal sulfides. It is necessary to …
from wastewater through the targeted precipitation of metal sulfides. It is necessary to …
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
Accurate prediction of ground vibration caused by blasting has always been a significant
issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon …
issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon …
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key
parameter for the successful accomplishment of a tunneling project, and the proper and …
parameter for the successful accomplishment of a tunneling project, and the proper and …
Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations
Blasting is still being considered to be one the most important applicable alternatives for
conventional excavations. Ground vibration generated due to blasting is an undesirable …
conventional excavations. Ground vibration generated due to blasting is an undesirable …
Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations
The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …
type mining method, which directly affects whether workers can be provided with a safe and …
[HTML][HTML] Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential
Among the research hotspots in geological/geotechnical engineering, research on the
prediction of soil liquefaction potential is still limited. In this research, several machine …
prediction of soil liquefaction potential is still limited. In this research, several machine …
[HTML][HTML] Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization
The advance rate (AR) of a tunnel boring machine (TBM) under hard rock conditions is a key
parameter in the successful implementation of tunneling engineering. In this study, we …
parameter in the successful implementation of tunneling engineering. In this study, we …
[HTML][HTML] Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
The squeezing behavior of surrounding rock can be described as the time-dependent large
deformation during tunnel excavation, which appears in special geological conditions, such …
deformation during tunnel excavation, which appears in special geological conditions, such …