FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3138047002> ?p ?o ?g. }

• W3138047002 endingPage "107728" @default.
• W3138047002 startingPage "107728" @default.
• W3138047002 abstract "Fully distributed Brillouin-scattering-based optical sensors—e.g., Brillouin optical time-domain analysis (BOTDA) sensors—appear to be promising supplementary tools for the SHM of actual tunnels. As far as we know, there is little research on detecting the damage of tunnels by using the strain continuous monitoring data obtained from BOTDA sensors. To address this issue, a method based on high-density cross-sectional curvature is proposed for the damage detection of operating tunnel. First, considering the long-distance and large-scale characteristics of actual tunnels, the strain is not sufficiently sensitive to structural damage; thus, the structural strain is converted into the cross-sectional curvature of the tunnel in order to improve this sensitivity. The condition required for converting the strain at the measured points into corresponding measurements of the cross-sectional curvature of the tunnel is discussed, and on this basis, a discriminative approach to the abovementioned conversion is presented. Second, a damage detection index based on high-density cross-sectional curvature is established, and combined with the novel detection approach, the proposed index is implemented to detect the damage of the tunnel. Finally, numerical examples are presented to analyze and discuss the noise resistance performance and structural damage sensitivity of the proposed method. Moreover, the effectiveness of the proposed method is demonstrated using strain monitoring data obtained from an actual tunnel with a box-type structure." @default.
• W3138047002 created "2021-03-29" @default.
• W3138047002 creator A5002950223 @default.
• W3138047002 creator A5006875542 @default.
• W3138047002 creator A5059733876 @default.
• W3138047002 creator A5070756898 @default.
• W3138047002 creator A5079134604 @default.
• W3138047002 date "2021-09-01" @default.
• W3138047002 modified "2023-10-14" @default.
• W3138047002 title "Damage detection of tunnel based on the high-density cross-sectional curvature obtained using strain data from BOTDA sensors" @default.
• W3138047002 cites W1574976050 @default.
• W3138047002 cites W1930168503 @default.
• W3138047002 cites W1979403928 @default.
• W3138047002 cites W1983095962 @default.
• W3138047002 cites W1991901067 @default.
• W3138047002 cites W1996118086 @default.
• W3138047002 cites W1996276420 @default.
• W3138047002 cites W2000008355 @default.
• W3138047002 cites W2026746229 @default.
• W3138047002 cites W2027566931 @default.
• W3138047002 cites W2034411500 @default.
• W3138047002 cites W2043624614 @default.
• W3138047002 cites W2055489388 @default.
• W3138047002 cites W2056404590 @default.
• W3138047002 cites W2059057914 @default.
• W3138047002 cites W2065376357 @default.
• W3138047002 cites W2093290782 @default.
• W3138047002 cites W2100486561 @default.
• W3138047002 cites W2108280136 @default.
• W3138047002 cites W2108917711 @default.
• W3138047002 cites W2139892018 @default.
• W3138047002 cites W2150064126 @default.
• W3138047002 cites W2160843246 @default.
• W3138047002 cites W2351068726 @default.
• W3138047002 cites W2470621907 @default.
• W3138047002 cites W2592311211 @default.
• W3138047002 cites W2600960406 @default.
• W3138047002 cites W2618150381 @default.
• W3138047002 cites W2618596389 @default.
• W3138047002 cites W2749717553 @default.
• W3138047002 cites W2778001028 @default.
• W3138047002 cites W2778465918 @default.
• W3138047002 cites W2883774903 @default.
• W3138047002 cites W2898351651 @default.
• W3138047002 cites W2998793470 @default.
• W3138047002 cites W3042515593 @default.
• W3138047002 cites W3162327282 @default.
• W3138047002 cites W4248342355 @default.
• W3138047002 doi "https://doi.org/10.1016/j.ymssp.2021.107728" @default.
• W3138047002 hasPublicationYear "2021" @default.
• W3138047002 type Work @default.
• W3138047002 sameAs 3138047002 @default.
• W3138047002 citedByCount "15" @default.
• W3138047002 countsByYear W31380470022021 @default.
• W3138047002 countsByYear W31380470022022 @default.
• W3138047002 countsByYear W31380470022023 @default.
• W3138047002 crossrefType "journal-article" @default.
• W3138047002 hasAuthorship W3138047002A5002950223 @default.
• W3138047002 hasAuthorship W3138047002A5006875542 @default.
• W3138047002 hasAuthorship W3138047002A5059733876 @default.
• W3138047002 hasAuthorship W3138047002A5070756898 @default.
• W3138047002 hasAuthorship W3138047002A5079134604 @default.
• W3138047002 hasConcept C121332964 @default.
• W3138047002 hasConcept C127413603 @default.
• W3138047002 hasConcept C192562407 @default.
• W3138047002 hasConcept C195065555 @default.
• W3138047002 hasConcept C21200559 @default.
• W3138047002 hasConcept C24326235 @default.
• W3138047002 hasConcept C24890656 @default.
• W3138047002 hasConcept C2524010 @default.
• W3138047002 hasConcept C2776247918 @default.
• W3138047002 hasConcept C33923547 @default.
• W3138047002 hasConcept C66938386 @default.
• W3138047002 hasConceptScore W3138047002C121332964 @default.
• W3138047002 hasConceptScore W3138047002C127413603 @default.
• W3138047002 hasConceptScore W3138047002C192562407 @default.
• W3138047002 hasConceptScore W3138047002C195065555 @default.
• W3138047002 hasConceptScore W3138047002C21200559 @default.
• W3138047002 hasConceptScore W3138047002C24326235 @default.
• W3138047002 hasConceptScore W3138047002C24890656 @default.
• W3138047002 hasConceptScore W3138047002C2524010 @default.
• W3138047002 hasConceptScore W3138047002C2776247918 @default.
• W3138047002 hasConceptScore W3138047002C33923547 @default.
• W3138047002 hasConceptScore W3138047002C66938386 @default.
• W3138047002 hasFunder F4320333596 @default.
• W3138047002 hasLocation W31380470021 @default.
• W3138047002 hasOpenAccess W3138047002 @default.
• W3138047002 hasPrimaryLocation W31380470021 @default.
• W3138047002 hasRelatedWork W2017621034 @default.
• W3138047002 hasRelatedWork W2079726820 @default.
• W3138047002 hasRelatedWork W2394379345 @default.
• W3138047002 hasRelatedWork W2772836553 @default.
• W3138047002 hasRelatedWork W2787341579 @default.
• W3138047002 hasRelatedWork W317572049 @default.
• W3138047002 hasRelatedWork W3215763795 @default.
• W3138047002 hasRelatedWork W4288816678 @default.
• W3138047002 hasRelatedWork W49622843 @default.
• W3138047002 hasRelatedWork W55883722 @default.

• next