|
|
|
|
|
Matej Vrtal, Radek Fujdiak, Jan Benedikt, Pavel Praks, Radim Bris, Michal Ptacek and Petr Toman
This paper presents a time-dependent reliability analysis created for a critical energy infrastructure use case, which consists of an interconnected urban power grid and a communication network. By utilizing expert knowledge from the energy and communica...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nilupa Herath, Lihai Zhang, Priyan Mendis, Satheeskumar Navaratnam, Weena Lokuge and Sujeeva Setunge
Damage accumulation due to multiple seismic impacts over time has a significant effect on the residual service life of the bridge. A reliability-based framework was developed to make decisions in bridge maintenance activities. The feature of the framewor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vladimir V. Rykov, Mikhail G. Sukharev and Victor Yu. Itkin
The purpose of this paper was to demonstrate the possibilities of assessing the reliability of oil and gas industry structures with the help of mathematical models of k-out-of-n systems. We show how the reliability of various structures in the oil and ga...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maddalena Marchelli, Valerio De Biagi and Daniele Peila
Net fences are among the most widespread passive protective measures to mitigate the risk from rockfall events. Despite the current design approach being based on partial safety factors, a more efficient time-dependent reliability approach has been recen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Austin D. Lewis and Katrina M. Groth
Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the use of conditional probabilities and directed acyclic graph models. DBNs enable the forward and backward inference of system states, diagnosing current sys...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zheheng Chen, Tong Guo, Shaobo Liu and Weiwei Lin
The parameters affecting structural reliability are usually regarded as independent random variables in the current reliability analyses of bridge structures while the randomness of these structural parameters in spatial distribution is neglected. To ove...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chinedu I. Ossai
Understanding the corrosion risk of a pipeline is vital for maintaining health, safety and the environment. This study implemented a data-driven machine learning approach that relied on Principal Component Analysis (PCA), Particle Swarm Optimization (PSO...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mengxue Wu, Jin Zhu, Junlin Heng and Sakdirat Kaewunruen
The present study attempts to predict the fatigue life of the suspenders through the incorporation of in-situ monitoring data into the proposed analytical coupled traffic-bridge-wind platform. The new findings highlight the importance of both wind load a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nicoletta Franchina, Otman Kouaissah, Giacomo Persico and Marco Savini
The paper presents the results of a computational study on the aerodynamics and the performance of a small-scale Vertical-Axis Wind Turbine (VAWT) for distributed micro-generation. The complexity of VAWT aerodynamics, which are inherently unsteady and th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ray, Bonnie K.; Liu, Zhaohui; Ravishanker, Nalini
Pág. 1 - 10
|
|
|
|
|
|