Foundation impedance functions from full-scale soil-structure interaction tests
The paper presents and discusses the dynamic foundation impedance functions calculated
from full-scale field tests on soil-structure interaction at the prototype facility of EuroProteas …
from full-scale field tests on soil-structure interaction at the prototype facility of EuroProteas …
Prediction of foundation stiffness and damping ratio under horizontal translation and rocking motion
In this paper, the results of snapback, cyclic and forced-vibration tests performed by
laboratory and full-scale facilities are collected and analysed to investigate the nonlinear …
laboratory and full-scale facilities are collected and analysed to investigate the nonlinear …
Field testing of rocking foundations in cohesive soil: cyclic performance and footing mechanical response
This paper presents a field test program of a large-scale soil–footing-structure system
designed with a rocking foundation in a cohesive soil to examine the behaviour of the …
designed with a rocking foundation in a cohesive soil to examine the behaviour of the …
Effects of rocking coefficient and critical contact area ratio on the performance of rocking foundations from centrifuge and shake table experimental results
The major objective of this study is to correlate rocking foundation performance parameters
with their capacity parameters and earthquake demand parameters using results obtained …
with their capacity parameters and earthquake demand parameters using results obtained …
Investigation of rocking mechanism of shallow foundations on sand via PIV technique
M Moradi, SMMM Hosseini… - Earthquake Engineering & …, 2023 - Wiley Online Library
Adoption of the rocking isolation concept in foundation design is considered as an effective
method in reducing seismic loads of structures. Despite much research conducted on the …
method in reducing seismic loads of structures. Despite much research conducted on the …
[HTML][HTML] Data-driven modeling of peak rotation and tipping-over stability of rocking shallow foundations using machine learning algorithms
S Gajan - Geotechnics, 2022 - mdpi.com
The objective of this study is to develop data-driven predictive models for peak rotation and
factor of safety for tipping-over failure of rocking shallow foundations during earthquake …
factor of safety for tipping-over failure of rocking shallow foundations during earthquake …
Uniaxial hysteretic spring models for static and dynamic analyses of self-centering rocking shallow foundations
Y Lu, F Xiong, J Zhong - Engineering Structures, 2022 - Elsevier
Self-centering rocking shallow foundations have been proved to be a potential alternative to
conventional foundations that provide superstructures with “fixed-base” constraints. Through …
conventional foundations that provide superstructures with “fixed-base” constraints. Through …
[HTML][HTML] Evidence of soil-structure interaction from modular full-scale field experimental tests
Two structural configurations of the EuroProteas prototype structure, defining two test
structures with different structural stiffness, were subjected to dynamic excitation to study the …
structures with different structural stiffness, were subjected to dynamic excitation to study the …
[HTML][HTML] Modeling of seismic energy dissipation of rocking foundations using nonparametric machine learning algorithms
S Gajan - Geotechnics, 2021 - mdpi.com
The objective of this study is to develop data-driven predictive models for seismic energy
dissipation of rocking shallow foundations during earthquake loading using multiple …
dissipation of rocking shallow foundations during earthquake loading using multiple …
Application of machine learning algorithms to performance prediction of rocking shallow foundations during earthquake loading
S Gajan - Soil Dynamics and Earthquake Engineering, 2021 - Elsevier
The objective of this research is to develop preliminary predictive models for the
performance of rocking shallow foundations using machine learning algorithms and …
performance of rocking shallow foundations using machine learning algorithms and …