Probabilistic methods for unified treatment of geotechnical and geological uncertainties in a geotechnical analysis
There are typically three types of models involved in a geotechnical analysis, ie, the
geologic model, the ground model, and the geotechnical model, each of which may be …
geologic model, the ground model, and the geotechnical model, each of which may be …
Random finite element method for spudcan foundations in spatially variable soils
Spudcans are large diameter (~ 20 m) conical foundations holding up mobile jack-up
platforms for offshore oil and gas developments in shallow to moderate water depths. During …
platforms for offshore oil and gas developments in shallow to moderate water depths. During …
First order reliability-based design optimization of 3D pile-reinforced slopes with Pareto optimality
As verified structures for landslide mitigation, stabilizing piles are often adopted to treat local
failure zones of width-limited soil slopes. To achieve a balance between slope safety and …
failure zones of width-limited soil slopes. To achieve a balance between slope safety and …
Probabilistic analysis of tunnel longitudinal performance based upon conditional random field simulation of soil properties
Because of the inherent spatial variability of soil properties and the limited number of
boreholes that can be afforded in a typical project, the soil properties at given geotechnical …
boreholes that can be afforded in a typical project, the soil properties at given geotechnical …
Bivariate distribution of shear strength parameters using copulas and its impact on geotechnical system reliability
The objective of this paper is to investigate the effect of copulas for constructing the bivariate
distribution of shear strength parameters on system reliability of geotechnical structures …
distribution of shear strength parameters on system reliability of geotechnical structures …
A parametric approach to optimize solar access for energy efficiency in high-rise residential buildings in dense urban tropics
N Jayaweera, U Rajapaksha, I Manthilake - Solar Energy, 2021 - Elsevier
This study demonstrates a parametric approach to optimize solar access for high-rise
residential buildings in urban tropics. Using parametric modelling, 75 urban contexts were …
residential buildings in urban tropics. Using parametric modelling, 75 urban contexts were …
The performance of six neural-evolutionary classification techniques combined with multi-layer perception in two-layered cohesive slope stability analysis and failure …
C Yuan, H Moayedi - Engineering with Computers, 2020 - Springer
Six population-based hybrid algorithms are applied to train the multilayer perceptron (MLP)
to improve the classification accuracy, in the stability assessment. A complex problem of …
to improve the classification accuracy, in the stability assessment. A complex problem of …
Multi-objective optimization of geosynthetic-reinforced and pile-supported embankments
The design of geosynthetic-reinforced and pile-supported (GRPS) embankments is
traditionally optimized by searching for the most cost-effective solution among several …
traditionally optimized by searching for the most cost-effective solution among several …
Robust design of siphon drainage method for stabilizing rainfall-induced landslides
Y Yu, M Shen, H Sun, Y Shang - Engineering Geology, 2019 - Elsevier
Drainage is a critical and cost-effective method to stabilize rainfall-induced landslide. In
order to improve the efficiency and sustainability of drainage system, a new siphon drainage …
order to improve the efficiency and sustainability of drainage system, a new siphon drainage …
Bootstrap method for characterizing the effect of uncertainty in shear strength parameters on slope reliability
This paper aims to propose a bootstrap method for characterizing the effect of uncertainty in
shear strength parameters on slope reliability. The procedure for a traditional slope reliability …
shear strength parameters on slope reliability. The procedure for a traditional slope reliability …