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 Bibliografske baze podataka

Pregled bibliografske jedinice broj: 173704

Časopis

Autori: Ukrainczyk, Neven; Banjad Pečur, Ivana; Bolf, Nenad
Naslov: Evaluating Rebar Corrosion Damage in RC Structures Exposed to Marine Environment Using Neural Network
( Evaluating Rebar Corrosion Damage in RC Structures Exposed to Marine Environment Using Neural Network )
Izvornik: Civil Engineering and Environmental Systems (1028-6608) 24 (2007), 1; 15-32
Vrsta rada: članak
Ključne riječi: chloride corrosion; durability; damage categorization; marine environment; simulation; classification neural network
( chloride corrosion; durability; damage categorization; marine environment; simulation; classification neural network )
Sažetak:
Data on the effects of the environmental conditions, structure, and properties of concrete onto the degree of damage caused by chloride-induced steel corrosion have been gathered on three concrete structures in an Adriatic marine environment. The damages were classified into six categories based on the type of remedial work necessary. An artificial neural network for feature categorization was used as a tool for classification of the degree of damage. The model was successfully trained and validated for the range of data from investigated bridges. The interactions and sensitivities of the principal parameters were investigated. The model indicates that the exposure and microclimate conditions are rated higher than the porosity, strength, water-cement ratio, cement content, and cement type. The model could be useful for planning the maintenance of investigated structures and design of remedial works.
Projekt / tema: 0125002, 125-1251963-1964
Izvorni jezik: eng
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Kemijsko inženjerstvo
Puni text rada: 173704.Article_V24_N1_march2007_15-32.pdf (tekst priložen 27. Ožu. 2007. u 11:00 sati)
URL Internet adrese: http://www.informaworld.com/smpp/title~db=all~content=g773385452~tab=toc
http://www.informaworld.com/smpp/content~content=a773378634~db=all~order=page
URL cjelovitog teksta:
Google Scholar: Evaluating Rebar Corrosion Damage in RC Structures Exposed to Marine Environment Using Neural Network



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