Determination of the Shear Strength of Rockfill from Small‐Scale Laboratory Shear Tests: A Critical Review

A Deiminiat, L Li, F Zeng, T Pabst… - Advances in Civil …, 2020 - Wiley Online Library
Determining the shear strength of rockfill is a key task for the design and stability analysis of
rockfill structures. When direct shear tests are performed, the well‐established ASTM …

Real-time evaluation of mechanical qualities of ballast bed in railway tamping maintenance

L Gao, S Shi, Y Zhong, M Xu, Y Xiao - International Journal of Mechanical …, 2023 - Elsevier
Real-time evaluation of the mechanical qualities of ballast beds is essential for improving
tamping effort in railway maintenance. This study aims at evaluating the mechanical …

[HTML][HTML] Evaluating railway track stiffness using axle box accelerations: a digital twin approach

C Shen, P Zhang, R Dollevoet, A Zoeteman… - Mechanical Systems and …, 2023 - Elsevier
While various train-borne techniques have been developed for measuring railway track
stiffness, differentiating stiffness at different track layers remains a challenge. This study …

A Bayesian methodology for detection of railway ballast damage using the modified Ludwik nonlinear model

MO Adeagbo, HF Lam, YQ Ni - Engineering Structures, 2021 - Elsevier
In this paper, an improved nonlinear model of railway ballast is proposed based on the
modified Ludwik model. The accuracy of model-based structural damage detection relies on …

[HTML][HTML] Fast and robust identification of railway track stiffness from simple field measurement

C Shen, R Dollevoet, Z Li - Mechanical Systems and Signal Processing, 2021 - Elsevier
We propose to combine a physics-based finite element (FE) track model and a data-driven
Gaussian process regression (GPR) model to directly infer railpad and ballast stiffness from …

Markov chain Monte Carlo-based Bayesian model updating of a sailboat-shaped building using a parallel technique

HF Lam, J Hu, FL Zhang, YC Ni - Engineering Structures, 2019 - Elsevier
In unidentifiable model updating problems, the posterior probability density function (PDF) of
uncertain model parameters cannot be well approximated by a multivariate Gaussian …

Probabilistic forecast of wind speed based on Bayesian emulator using monitoring data

XW Ye, Y Ding, HP Wan - Structural Control and Health …, 2021 - Wiley Online Library
Wind speed forecasting can serve a wide spectrum of purposes, including scheduling of a
power system and dynamic control of structures. A lot of models are widely used to forecast …

[HTML][HTML] Vold–Kalman filter order tracking of axle box accelerations for track stiffness assessment

C Hoelzl, V Dertimanis, L Ancu, A Kollros… - Mechanical Systems and …, 2023 - Elsevier
Intelligent data-driven monitoring procedures hold enormous potential for ensuring safe
operation and optimal management of railway infrastructure in the face of increasing …

CA mortar void identification for slab track utilizing time-domain Markov chain Monte Carlo-based Bayesian approach

Q Hu, YJ Shen - Structural Health Monitoring, 2023 - journals.sagepub.com
This paper investigates the feasibility and practicability study on the use of Markov chain
Monte Carlo (MCMC)-based Bayesian approach for identifying the cement-emulsified …

Two-mass vehicle model for extracting bridge frequencies

JP Yang, BH Chen - International Journal of Structural Stability and …, 2018 - World Scientific
The dynamic response of a moving vehicle has been utilized to extract the frequencies of the
supporting bridge. In most previous studies, the vehicle was modeled as a single-degree-of …