Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Andre Jesus"'
Autor:
Vinha, André Jesus, Sampaio, Sérgio
Publikováno v:
In Angiologia e Cirurgia Vascular September 2015 11(3):140-152
Publikováno v:
Journal of Civil Structural Health Monitoring. 9:201-215
We address the problem of damage identification in complex civil infrastructure with an integrative modular Bayesian framework. The proposed approach uses multiple response Gaussian processes to build an informative yet computationally affordable pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::560a491a4a713de87cd0d7aa617cc9fe
https://doi.org/10.1007/s13349-018-00321-8
https://doi.org/10.1007/s13349-018-00321-8
Publikováno v:
Structural Health Monitoring. 18:1310-1323
This article presents a probabilistic structural identification of the Tamar bridge using a detailed finite element model. Parameters of the bridge cables initial strain and bearings friction were identified. Effects of temperature and traffic were j
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d35963e04cd62b874530ff1d4bc9d9d6
https://doi.org/10.1177/1475921718794299
https://doi.org/10.1177/1475921718794299
Publikováno v:
Revista Digital de Derecho Administrativo, Iss 32 (2024)
El presente escrito busca aportar una interpretación a la causal atenuante de responsabilidad administrativa consistente en la subsanación voluntaria de la infracción. Para ello, se toman en cuenta los principios de razonabilidad, buena administra
Externí odkaz:
https://doaj.org/article/f337034331bb4c3f96364543d5d830fd
Structural health monitoring plays a significant role in providing information regarding the performance of structures throughout their life spans. However, information that is directly extracted from monitored data is usually susceptible to uncertai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9212eeb681d60853f2b3dd7350662ff2
https://repository.uwl.ac.uk/id/eprint/6130/1/Jesus_etal_ASE_2019_Vibration-based_Bayesian_model_updating_of_civil_engineering_structures_applying_Gaussian_process_metamodel.pdf
https://repository.uwl.ac.uk/id/eprint/6130/1/Jesus_etal_ASE_2019_Vibration-based_Bayesian_model_updating_of_civil_engineering_structures_applying_Gaussian_process_metamodel.pdf
Publikováno v:
International Journal of Structural Stability and Dynamics. 20:2042003
Structural health monitoring data has been widely acknowledged as a significant source for evaluating the performance and health conditions of structures. However, a holistic framework that efficiently incorporates monitored data into structural iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e300977fc3325934370c4322d1d4c3be
https://doi.org/10.1142/s0219455420420031
https://doi.org/10.1142/s0219455420420031
Publikováno v:
Journal of Sound and Vibration. 470:115157
The dynamic behaviour of footbridges is characterised by modal properties such as natural frequencies, mode shapes, damping ratios and modal masses. Their estimation via modal tests often requires expensive or difficult-to-operate equipment (e.g. sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a409baacd890221fe79726a92c10492b
https://doi.org/10.1016/j.jsv.2019.115157
https://doi.org/10.1016/j.jsv.2019.115157
This paper presents a feature extraction method to uncover the temperature effects on bridge responses, which combines mode decomposition, data reduction and blind separation. For mode decomposition, empirical mode decomposition (EMD) and ensemble em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62199bd0fffc036b54e8c958377651ea
http://wrap.warwick.ac.uk/106464/1/WRAP-thermal-strain-extraction-methodologies-bridge-structural-condition-assessment-Zhu-2018.pdf
http://wrap.warwick.ac.uk/106464/1/WRAP-thermal-strain-extraction-methodologies-bridge-structural-condition-assessment-Zhu-2018.pdf
Publikováno v:
Structural Health Monitoring 2017.
In this paper, blind source separation idea is employed to identify abnormal variations in time-history sensor measurements, which can be the indication of structural damage inside the bridge. Since the measurements are the mixed structural responses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a1e34d224d745ab30a53ba4d7206155
https://doi.org/10.12783/shm2017/13907
https://doi.org/10.12783/shm2017/13907
A modular Bayesian method is applied for structural identification of a reduced-scale aluminium bridge model subject to thermal loading. The deformation and temperature variations of the structure were measured using strain gauges and thermocouples.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70d460a303e13252de696aaaacb4f639
https://repository.uwl.ac.uk/id/eprint/5622/1/AHJ_ES_Stidtv.pdf
https://repository.uwl.ac.uk/id/eprint/5622/1/AHJ_ES_Stidtv.pdf