Inverse response surface method for prestressed concrete bridge design
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU142856" target="_blank" >RIV/00216305:26110/21:PU142856 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1201/9780429279119-20" target="_blank" >http://dx.doi.org/10.1201/9780429279119-20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1201/9780429279119-20" target="_blank" >10.1201/9780429279119-20</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Inverse response surface method for prestressed concrete bridge design
Popis výsledku v původním jazyce
The paper describes application of the inverse response surface method when performing reliability-based design of selected bridge parameters. Employed adaptive procedure combines response surface method with an artificial neural network-based inverse reliability method. The first method serves for approximation of computationally demanding limit state function based on finite element method model. The second method provides design parameters for prescribed reliability indicators which correspond to analyzed limit states. Since the initial set of design parameters is not known in advance both methods must be efficiently combined to obtain sufficiently accurate results. The proposed method was employed for determination of selected uncertain material and prestress parameters of aging concrete bridge made of post-tensioned precast segments. Presented analysis is part of lifetime and reliability assessment of the aging bridge subjected to gradual deterioration which brings increasing level of uncertainty to its parameters.
Název v anglickém jazyce
Inverse response surface method for prestressed concrete bridge design
Popis výsledku anglicky
The paper describes application of the inverse response surface method when performing reliability-based design of selected bridge parameters. Employed adaptive procedure combines response surface method with an artificial neural network-based inverse reliability method. The first method serves for approximation of computationally demanding limit state function based on finite element method model. The second method provides design parameters for prescribed reliability indicators which correspond to analyzed limit states. Since the initial set of design parameters is not known in advance both methods must be efficiently combined to obtain sufficiently accurate results. The proposed method was employed for determination of selected uncertain material and prestress parameters of aging concrete bridge made of post-tensioned precast segments. Presented analysis is part of lifetime and reliability assessment of the aging bridge subjected to gradual deterioration which brings increasing level of uncertainty to its parameters.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20101 - Civil engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/GA18-13212S" target="_blank" >GA18-13212S: Metody plochy odezvy a citlivostní analýzy ve stochastické výpočtové mechanice (RESUS)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations
ISBN
9780367232788
ISSN
—
e-ISSN
—
Počet stran výsledku
7
Strana od-do
179-185
Název nakladatele
CRC Press/Balkema
Místo vydání
London
Místo konání akce
Sapporo, Japan
Datum konání akce
11. 4. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—