Trends and challenges of technology-enhanced learning in geotechnical engineering education

Z Rehman - Sustainability, 2023 - mdpi.com
The integration of technology and new tools in engineering education has created
opportunities for the advancement of geotechnical engineering education (GEE) …

[HTML][HTML] Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature

A Alaskar, G Alfalah, F Althoey, MA Abuhussain… - Case Studies in …, 2023 - Elsevier
The elevated temperature severely influences the mixed properties of concrete, causing a
decrease in its strength properties. Accurate proportioning of concrete components for …

A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction

TF Kurnaz, C Erden, AH Kökçam, U Dağdeviren… - Engineering …, 2023 - Elsevier
Soil liquefaction during earthquakes is a complex geotechnical engineering problem.
Although various analytical approaches exist for predicting liquefaction risk, their limitations …

State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering

H Liu, H Su, L Sun, D Dias-da-Costa - Artificial Intelligence Review, 2024 - Springer
Significant uncertainties can be found in the modelling of geotechnical materials. This can
be attributed to the complex behaviour of soils and rocks amidst construction processes …

Landslide susceptibility evaluation based on a coupled informative–logistic regression model—Shuangbai County as an example

H Wang, J Xu, S Tan, J Zhou - Sustainability, 2023 - mdpi.com
Shuangbai County, located in Yunnan Province, Southwest China, possesses a complex
and diverse geological environment and experiences frequent landslide disasters. As a …

Detecting Cracks in Aerated Concrete Samples Using a Convolutional Neural Network

AN Beskopylny, EM Shcherban', SA Stel'makh… - Applied Sciences, 2023 - mdpi.com
The creation and training of artificial neural networks with a given accuracy makes it
possible to identify patterns and hidden relationships between physical and technological …

Combining artificial neural network and seeker optimization algorithm for predicting compression capacity of concrete-filled steel tube columns

P Hu, H Aghajanirefah, A Anvari, ML Nehdi - Buildings, 2023 - mdpi.com
Accurate and reliable estimation of the axial compression capacity can assist engineers
toward an efficient design of circular concrete-filled steel tube (CCFST) columns, which are …

Prediction and variable importance analysis for small-strain stiffness of soil based on ensemble learning with Bayesian optimization

Y Huang, Y Wang, Z Xu, P Wang - Computers and Geotechnics, 2023 - Elsevier
Small-strain stiffness is a fundamental soil property described by the normalized shear
modulus (G/G max) and maximum shear modulus (G max). Though numerous experiments …

Physical and mechanical properties of reclaimed asphalt pavement (rap) incorporated into unbound pavement layers

C Plati, M Tsakoumaki, K Gkyrtis - Applied Sciences, 2022 - mdpi.com
Against the backdrop of global warming and depletion of natural resources, new techniques
and alternative materials need to be explored and integrated into road construction …

Synergistic effect of zeolite and biochar on geotechnical and fertility properties of vegetation concrete prepared by sandy soil

D Liu, Z Huang, D Liu, Y Yang, Y Ding, Z Luo… - … and Building Materials, 2023 - Elsevier
The mechanical strength and fertility retention capacity of vegetation concrete (VC) are
insufficient when prepared using sandy soil. Biochar (BC) has been used to improve the …