Temat: estymacja modelu - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Strains and self-stresses estimation in the expansive concrete members reinforced with GFRP bars
Autorzy:: Tur, V.
Semianiuk, V.
Powiązania:: https://bibliotekanauki.pl/articles/111111.pdf
Data publikacji:: 2016
Wydawca:: Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
Tematy:: expansive concrete
GFRP bars
restrained strain
self-stress
estimation model
beton
GFRP
estymacja modelu
Opis:: Advantages of the self-stressed concrete members with FRP reinforcement are described. Analytical model for the restrained expansion strains (self-stresses) estimation in the self-stressed concrete members reinforced with FRP bars is proposed. Established modified strains development model (MSDM) is based on deformation compatibility approach in combination with taking into account imposed internal force in reinforcement as an additional restriction for the expansion strains development. Comparison of experimentally established and predicted data that was obtained in accordance with the proposed model for the case of GFRP bars uniaxially symmetrically reinforced high expansion energy capacity concrete members is presented. Verification of the proposed MSDM has shown a good agreement between calculated and experimental values that indicates its validity for the design of the self-stressed concrete members with GFRP reinforcement.
Źródło:: Inżynieria Bezpieczeństwa Obiektów Antropogenicznych; 2016, 4; 3-9
2450-1859
2450-8721
Pojawia się w:: Inżynieria Bezpieczeństwa Obiektów Antropogenicznych
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Model-based techniques for virtual sensing of longitudinal flight parameters
Autorzy:: Hardier, G.
Seren, C.
Ezerzere, P.
Powiązania:: https://bibliotekanauki.pl/articles/330954.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: model based estimation
fault detection
virtual sensor
Kalman filtering
surrogate modelling
estymacja modelu
detekcja uszkodzeń
sensor wirtualny
filtracja Kalmana
Opis:: Introduction of fly-by-wire and increasing levels of automation significantly improve the safety of civil aircraft, and result in advanced capabilities for detecting, protecting and optimizing A/C guidance and control. However, this higher complexity requires the availability of some key flight parameters to be extended. Hence, the monitoring and consolidation of those signals is a significant issue, usually achieved via many functionally redundant sensors to extend the way those parameters are measured. This solution penalizes the overall system performance in terms of weight, maintenance, and so on. Other alternatives rely on signal processing or model-based techniques that make a global use of all or part of the sensor data available, supplemented by a model-based simulation of the flight mechanics. That processing achieves real-time estimates of the critical parameters and yields dissimilar signals. Filtered and consolidated information is delivered in unfaulty conditions by estimating an extended state vector, including wind components, and can replace failed signals in degraded conditions. Accordingly, this paper describes two model-based approaches allowing the longitudinal flight parameters of a civil A/C to be estimated on-line. Results are displayed to evaluate the performances in different simulated and real flight conditions, including realistic external disturbances and modeling errors.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 23-38
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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