Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Dimitrios Giagopoulos"'
Publikováno v:
Sensors, Vol 24, Iss 5, p 1608 (2024)
A methodology for optimal sensor placement is presented in the current work. This methodology incorporates a damage detection framework with simulated damage scenarios and can efficiently provide the optimal combination of sensor locations for vibrat
Externí odkaz:
https://doaj.org/article/fb5d31737e8845b39e2058b708971dab
Publikováno v:
Applied Mechanics, Vol 3, Iss 3, Pp 779-798 (2022)
The presented research work demonstrates an efficient methodology based on a micromechanical framework for the prediction of the effective elastic properties of strongly bonded long-fiber-reinforced materials (CFRP) used for the construction of tubul
Externí odkaz:
https://doaj.org/article/5ee415b35d3e4f5f8acac00a0b0d2461
Publikováno v:
Applied Mechanics, Vol 3, Iss 1, Pp 227-243 (2022)
A wide variety of hyperelastic rubber-like materials, exhibiting strong nonlinear stress–strain relations under large deformations, is applied in various industrial mechanical systems and engineering applications involving shock and vibration absor
Externí odkaz:
https://doaj.org/article/66e8e3f7ba824bc08e2a3efcceb1c078
Publikováno v:
Applied Mechanics, Vol 2, Iss 4, Pp 1057-1072 (2021)
The advancements in the automotive, aviation, and aerospace industry have led to an increased usage of CFRP high-pressure gas tanks. In order to avoid any fatal accidents, the inspection procedures require accuracy, but also practicality, to be used
Externí odkaz:
https://doaj.org/article/bf4d24d63bf5457789fd0d9adedc1584
Publikováno v:
Machines, Vol 11, Iss 5, p 514 (2023)
Numerical models, such as multibody dynamics ones, are broadly used in various engineering applications, either as an integral part of the preliminary design of a product or simply to analyze its behavior. Aiming to increase the accuracy and potentia
Externí odkaz:
https://doaj.org/article/86f7eef26a744fd7990fffe631a92d26
Publikováno v:
Sensors, Vol 23, Iss 2, p 591 (2023)
Vibration-based damage detection methods are a subcategory of Structural Health Monitoring (SHM) methods that rely on the fact that structural damage will affect the dynamic characteristic of a structure. The presented methodology uses Finite Element
Externí odkaz:
https://doaj.org/article/e4f98bd4c63044859bebe2f64cdf13a2
Publikováno v:
Sensors, Vol 22, Iss 14, p 5079 (2022)
The continuous development of new materials and larger and/or more complex structures drives the need for the development of more robust, accurate, and sensitive Structural Health Monitoring (SHM) techniques. In the present work, a novel vibration-ba
Externí odkaz:
https://doaj.org/article/69170236a3ef47fa84c300a472a669c1
Publikováno v:
Frontiers in Built Environment, Vol 4 (2018)
An integrated reverse engineering methodology is proposed for a large-scale fully operational steam turbine rotor, considering issues that include developing the CAD and FE model of the structure, as well as the applicability of model updating techni
Externí odkaz:
https://doaj.org/article/bf983d254f2e463a95bfbd7b82150326
Publikováno v:
Structural Health Monitoring. 22:1376-1398
The use of structural health monitoring (SHM) systems on a regular basis is critical to achieve early damage detection, avoid unpredicted failures, and perform cost-effective maintenance planning. The main objective of this work is to present a model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7e88f64904ba0d03b6104977be4881c
https://doi.org/10.1177/14759217221100443
https://doi.org/10.1177/14759217221100443
Publikováno v:
Structural Health Monitoring. 21:2206-2230
Damage detection and identification is one of the main tasks in vibration based Structural Health Monitoring (SHM). The robustness of such SHM applications depends among others on the amount and quality of data that can be acquired. Model-based SHM m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f90329315f18577e260fd5bb20ae0ea0
https://doi.org/10.1177/14759217211054348
https://doi.org/10.1177/14759217211054348