FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3165707607> ?p ?o ?g. }

• W3165707607 abstract "Maintaining the structural reliability of highway bridges under a budget constraint necessitates the development of accurate prediction models of bridge deck deterioration to maximize bridge service life while minimizing life-cycle costs. Traditionally, the structural condition of a bridge deck is assessed using ordinal discrete indices, referred to as condition ratings (CRs), assigned based on an assessment of the visible signs of deterioration. Nondestructive evaluation (NDE) is being increasingly utilized to gain objective insights into structural deterioration. The impact echo (IE) test is a common NDE technique that relies on the acoustic resonance response of a bridge deck to detect subsurface delamination that can lead to spalling. However, IE data interpretation is largely done manually and the connection between the IE results and CRs is not fully explored. The aim of this study is to model the spectral characteristics of IE signals to quantify the structural integrity of bridge decks and predict CRs. First, a nearest neighbor clustering of IE signal energy distribution in the frequency domain is conducted to generate condition labels for each IE response (good, fair, poor) automatically. The condition labels are then input to a support vector machine (SVM) classification model to predict the CRs. The models are trained and tested using data from the Long-Term Bridge Performance (LTBP) data set pertaining to 38 tested bridges with recorded NDE data collected over a span of 2 years on average. The findings indicate that the proposed model is capable of automatically predicting CRs for bridge decks given the raw IE test data with an accuracy of 87.5%." @default.
• W3165707607 created "2021-06-07" @default.
• W3165707607 creator A5051566747 @default.
• W3165707607 creator A5057413558 @default.
• W3165707607 creator A5062725161 @default.
• W3165707607 date "2021-08-01" @default.
• W3165707607 modified "2023-10-03" @default.
• W3165707607 title "Interpreting Impact Echo Data to Predict Condition Rating of Concrete Bridge Decks: A Machine-Learning Approach" @default.
• W3165707607 cites W1504955719 @default.
• W3165707607 cites W1839095719 @default.
• W3165707607 cites W1970800838 @default.
• W3165707607 cites W1972941997 @default.
• W3165707607 cites W1973399018 @default.
• W3165707607 cites W1977556410 @default.
• W3165707607 cites W1983958468 @default.
• W3165707607 cites W1987411164 @default.
• W3165707607 cites W1994616650 @default.
• W3165707607 cites W1997544222 @default.
• W3165707607 cites W2001453410 @default.
• W3165707607 cites W2007992162 @default.
• W3165707607 cites W2016061473 @default.
• W3165707607 cites W2026134598 @default.
• W3165707607 cites W2027391859 @default.
• W3165707607 cites W2038193792 @default.
• W3165707607 cites W2042557994 @default.
• W3165707607 cites W2045810251 @default.
• W3165707607 cites W2051086494 @default.
• W3165707607 cites W2054282473 @default.
• W3165707607 cites W2071072418 @default.
• W3165707607 cites W2082445369 @default.
• W3165707607 cites W2087347434 @default.
• W3165707607 cites W2091567885 @default.
• W3165707607 cites W2093100530 @default.
• W3165707607 cites W2096793442 @default.
• W3165707607 cites W2097225920 @default.
• W3165707607 cites W2102309308 @default.
• W3165707607 cites W2103838515 @default.
• W3165707607 cites W2109987419 @default.
• W3165707607 cites W2118978333 @default.
• W3165707607 cites W2120063636 @default.
• W3165707607 cites W2122558824 @default.
• W3165707607 cites W2133736985 @default.
• W3165707607 cites W2134492883 @default.
• W3165707607 cites W2165533158 @default.
• W3165707607 cites W2168175751 @default.
• W3165707607 cites W2170282597 @default.
• W3165707607 cites W2213719542 @default.
• W3165707607 cites W2512543059 @default.
• W3165707607 cites W2614153769 @default.
• W3165707607 cites W2734397920 @default.
• W3165707607 cites W2735864095 @default.
• W3165707607 cites W2828181307 @default.
• W3165707607 cites W2888552399 @default.
• W3165707607 cites W3000247178 @default.
• W3165707607 cites W3010038525 @default.
• W3165707607 cites W3101380508 @default.
• W3165707607 cites W4292691288 @default.
• W3165707607 cites W4302033506 @default.
• W3165707607 doi "https://doi.org/10.1061/(asce)be.1943-5592.0001744" @default.
• W3165707607 hasPublicationYear "2021" @default.
• W3165707607 type Work @default.
• W3165707607 sameAs 3165707607 @default.
• W3165707607 citedByCount "7" @default.
• W3165707607 countsByYear W31657076072021 @default.
• W3165707607 countsByYear W31657076072022 @default.
• W3165707607 countsByYear W31657076072023 @default.
• W3165707607 crossrefType "journal-article" @default.
• W3165707607 hasAuthorship W3165707607A5051566747 @default.
• W3165707607 hasAuthorship W3165707607A5057413558 @default.
• W3165707607 hasAuthorship W3165707607A5062725161 @default.
• W3165707607 hasBestOaLocation W31657076072 @default.
• W3165707607 hasConcept C100776233 @default.
• W3165707607 hasConcept C115903868 @default.
• W3165707607 hasConcept C121332964 @default.
• W3165707607 hasConcept C12267149 @default.
• W3165707607 hasConcept C126322002 @default.
• W3165707607 hasConcept C126838900 @default.
• W3165707607 hasConcept C127413603 @default.
• W3165707607 hasConcept C154945302 @default.
• W3165707607 hasConcept C163258240 @default.
• W3165707607 hasConcept C16910744 @default.
• W3165707607 hasConcept C2776247918 @default.
• W3165707607 hasConcept C41008148 @default.
• W3165707607 hasConcept C43214815 @default.
• W3165707607 hasConcept C56529433 @default.
• W3165707607 hasConcept C62520636 @default.
• W3165707607 hasConcept C64355373 @default.
• W3165707607 hasConcept C66938386 @default.
• W3165707607 hasConcept C71924100 @default.
• W3165707607 hasConcept C73555534 @default.
• W3165707607 hasConceptScore W3165707607C100776233 @default.
• W3165707607 hasConceptScore W3165707607C115903868 @default.
• W3165707607 hasConceptScore W3165707607C121332964 @default.
• W3165707607 hasConceptScore W3165707607C12267149 @default.
• W3165707607 hasConceptScore W3165707607C126322002 @default.
• W3165707607 hasConceptScore W3165707607C126838900 @default.
• W3165707607 hasConceptScore W3165707607C127413603 @default.
• W3165707607 hasConceptScore W3165707607C154945302 @default.
• W3165707607 hasConceptScore W3165707607C163258240 @default.
• W3165707607 hasConceptScore W3165707607C16910744 @default.

• next