The uniaxial compressive strength (UCS) of rock is an essential property of rock material in
different relevant applications, such as rock slope, tunnel construction, and foundation. It …

In this research, a new idea was implemented to combine different models of artificial
intelligence (AI) for evaluating the strength parameters of concrete samples in laboratory. To …

Numerous studies have reported the effective use of artificial intelligence approaches,
particularly artificial neural networks (ANNs)-based models, to tackle tunnelling issues …

In underground space technology, the issue of tunnel stability is a fundamental concern that
significantly causes catastrophe. Owing to sedimentation and deposition processes, the …

This paper reports the results of advanced data analysis involving artificial neural networks
for the prediction of the unconfined compressive strength of granite using only two non …

By using the American Society for Testing and Materials and British Standards standards,
the impact of various grading of sand (Five types of sand) on the compressive strength (CS) …

Seasonal variations of the moisture content of fine-grained soils may result in the
accumulation of significant volumetric strains, which may affect the stability of geotechnical …

Field penetration index (FPI) is one of the representative key parameters to examine the
tunnel boring machine (TBM) performance. Lack of accurate FPI prediction can be …

This research examines the feasibility of hybridizing boosted Chi-Squared Automatic
Interaction Detection (CHAID) with different kernels of support vector machine (SVM) …

Rock-burst is a common failure in hard rock related projects in civil and mining construction
and therefore, proper classification and prediction of this phenomenon is of interest. This …