Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Drahomír Novák"'
Probabilistic assessment and sensitivity analysis of existing concrete bridge via surrogate modeling
Autor:
Lukáš Novák, Drahomír Novák
Publikováno v:
Acta Polytechnica CTU Proceedings, Vol 36, Pp 135-141 (2022)
The paper is focused on probabilistic assessment and sensitivity analysis of existing prestressed concrete bridge using surrogate model in form of Polynomial Chaos Expansion (PCE). The bridge was selected in the framework of the European Project INTE
Externí odkaz:
https://doaj.org/article/08aad66e97894d4c9d6a812d1fc64e52
Semi-probabilistic assessment of existing bridge using simplified methods for estimation of variance
Autor:
Lukáš Novák, Drahomír Novák
Publikováno v:
Acta Polytechnica CTU Proceedings, Vol 36, Pp 142-148 (2022)
The paper is focused on assessment of existing prestressed concrete bridge by simplified methods for estimation of coefficient of variation. The bridge was selected in the framework of the European Project INTERREG AUSTRIA-CZECH REPUBLIC "ATCZ190 SAF
Externí odkaz:
https://doaj.org/article/28c834efc2c4462cb5aabbaeae1fcade
Publikováno v:
Infrastructures, Vol 8, Iss 11, p 162 (2023)
Railway noise barrier constructions are subjected to high aerodynamic loads during the train passages, and the knowledge of their actual structural condition is relevant to assure safety for railway users and to create a basis for forecasting. This p
Externí odkaz:
https://doaj.org/article/9fabd4d692b54bba894b542bb885c99a
Identification of Damage on Sluice Hoist Beams Using Local Mode Evoked by Swept Frequency Excitation
Publikováno v:
Sensors, Vol 21, Iss 19, p 6357 (2021)
As a global vibration characteristic, natural frequency often suffers from insufficient sensitivity to structural damage, which is associated with local variations of structural material or geometric properties. Such a drawback is particularly signif
Externí odkaz:
https://doaj.org/article/4d24ccb81f4b471a9b754720ab289d6d
Autor:
Lukáš Novák, Drahomír Novák
Publikováno v:
Symmetry, Vol 12, Iss 8, p 1379 (2020)
The paper is focused on Taylor series expansion for statistical analysis of functions of random variables with special attention to correlated input random variables. It is shown that the standard approach leads to significant deviations in estimated
Externí odkaz:
https://doaj.org/article/1cb6e4307bef47c599f88f6dab20220d
Publikováno v:
Sensors, Vol 20, Iss 7, p 2021 (2020)
Crack identification plays an essential role in the health diagnosis of various concrete structures. Among different intelligent algorithms, the convolutional neural networks (CNNs) has been demonstrated as a promising tool capable of efficiently ide
Externí odkaz:
https://doaj.org/article/e4b32bb5417e450f98d2a59e5fb6e766
Publikováno v:
Journal of Civil Engineering and Management, Vol 24, Iss 4 (2018)
Continuous welded rail is of high interest to operators of railway infrastructure facilities because of the reduced maintenance work and better train driving dynamics it offers. However, the application of continuous welded rail, in particular associ
Externí odkaz:
https://doaj.org/article/ce13b0daa947418180a7cfca8dc31119
Publikováno v:
Journal of Measurements in Engineering. 10:215-237
This study aims to investigate the barrier effect of front wall-soil-barrier interactions in barrier sheet pile wharf structures. Berth 32 of the Jingtang Port was taken as the prototype structure, and the prototype observation experiment, centrifuga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6565bca588c78f03852ca500f67cabaa
https://doi.org/10.21595/jme.2022.22921
https://doi.org/10.21595/jme.2022.22921
Publikováno v:
Structural Concrete. 24:771-787
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aab07e03db1d66af13b3b88b22f6b65
https://doi.org/10.1002/suco.202200179
https://doi.org/10.1002/suco.202200179
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783031255984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eab9a8f3dffd2515873d44ca1f0cfbcd
https://doi.org/10.1007/978-3-031-25599-1_14
https://doi.org/10.1007/978-3-031-25599-1_14
