[HTML][HTML] A novel Bayesian network approach for predicting soil-structure interactions induced by deep excavations
SC Jong, DEL Ong - Tunnelling and Underground Space Technology, 2024 - Elsevier
The demand for deep excavations to construct underground infrastructure has been growing
in metropolitan cities due to rapid urban development and limited land space. In this original …
in metropolitan cities due to rapid urban development and limited land space. In this original …
A novel Bayesian inference method for predicting optimum strength gain in sustainable geomaterials for greener construction
There has been growing research interests in the study of sustainable geomaterials to
reduce or replace the use of cement to promote greener construction. A machine learning …
reduce or replace the use of cement to promote greener construction. A machine learning …
Developing artificial neural network models to predict corrosion of reinforcement in mechanically stabilized earth walls
Corrosion of reinforcement in mechanically stabilized earth (MSE) walls is mainly due to
physical and chemical properties of back-fill materials, types of metal reinforcement, and …
physical and chemical properties of back-fill materials, types of metal reinforcement, and …
[HTML][HTML] A Bayesian inference framework for geomaterial characterization and evaluation of complex soil-structure interactions
SC Jong, DEL Ong - Computers and Geotechnics, 2024 - Elsevier
This research developed a robust Bayesian framework for evaluating geomaterials and soil-
structure interactions involving deep excavation, utilizing Bayesian Regression and …
structure interactions involving deep excavation, utilizing Bayesian Regression and …
Optimization design of cement mixing columns supported height embankment using Plaxis remote scripting and Gene-expression programming technique
VN Pham - Advances in Engineering Software, 2024 - Elsevier
This paper is going to present the advanced feature in Plaxis using remote scripting with
Python wrapper. Python allows engineers to create Plaxis models, calculate construction …
Python wrapper. Python allows engineers to create Plaxis models, calculate construction …
Runway groove closure prediction modelling by gene expression programming (GEP)
MT Miah, E Oh, G Chai, P Bell - Road Materials and Pavement …, 2023 - Taylor & Francis
Grooving on the runway is proven to improve frictional braking resistance and reduce the
risk of hydroplaning during wet weather and maintain skid-resistant surfaces. Nonetheless …
risk of hydroplaning during wet weather and maintain skid-resistant surfaces. Nonetheless …
Estimating Unconfined Compression Strength of Fly Ash and Cement Stabilised Clayey Soil using Artificial intelligence Techniques
The study aims to develop proposed predictive formulas for determining the unconfined
compression strength (UCS) of fly ash and cement stabilised clayey soil based on Multi …
compression strength (UCS) of fly ash and cement stabilised clayey soil based on Multi …