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- 01GVQA6VV4G4QHZ4T4CWHC3Q5T classification C1.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T date "2023".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T language "eng".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T type conference.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T hasPart 01GVQA7JFFGRCY9KEXWFTXQ3VH.pdf.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T subject "Technology and Engineering".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T doi "10.1007/978-981-19-4835-0_35".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T isbn "9789811948343".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T isbn "9789811948350".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T issn "2195-4356".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T issn "2195-4364".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T presentedAt urn:uuid:378f56d3-f02f-4108-b274-02a1c8f68e6d.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T abstract "Structural health monitoring (SHM) of civil engineering infrastructure, especially of bridges, has played a vital role in ensuring the safety as well as the integrity of the whole structure. SHM system enables inspectors to detect structural damage while it is still at its primal stage, thus reduces significantly the maintenance cost of the structure. Many researchers have focused on applying optimization techniques to improve the effectiveness of damage detection tool, especially those of natural-inspired algorithms. In this paper, we introduce an application of slime mould algorithm (SMA)—a novel metaheuristic optimization algorithm to solve the damage detection problem of a suspension footbridge. The highly accurate result shows that SMA is effective not only in detecting but also in localizing damages on the bridge.".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T author 0cd08ee3-253b-11eb-a2dc-c201724bb0b8.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T author 2223D1E4-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T author 60DF3F28-9A61-11E7-A799-F80CAE28A064.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T author FE1E5C72-9214-11E9-BB7C-F8EC5607D3EF.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T author urn:uuid:2710b783-34d0-43d2-a29a-c07fd4cdffa8.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T author urn:uuid:40e7e809-82a1-416f-97c9-ec0828ca8327.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T author urn:uuid:a43ee89a-611c-4e0e-8ea1-c888accf25d7.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T dateCreated "2023-03-17T08:15:33Z".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T dateModified "2024-07-09T07:47:11Z".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T editor 60DF3F28-9A61-11E7-A799-F80CAE28A064.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T editor urn:uuid:8746c2da-702a-4e15-8bfc-f5c46772099e.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T editor urn:uuid:992cc1f3-a20d-47b7-9ace-27edfc382f8f.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T name "Application of slime mould optimization algorithm on structural damage identification of suspension footbridge".
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T pagination urn:uuid:208afc48-cfd4-448b-9c6e-4f8368709ca1.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T publisher urn:uuid:660151a9-5333-4583-a6dd-f4693cec5755.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T sameAs LU-01GVQA6VV4G4QHZ4T4CWHC3Q5T.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T sourceOrganization urn:uuid:dee5ce46-3530-44e3-b4d4-ce3a5bb82d36.
- 01GVQA6VV4G4QHZ4T4CWHC3Q5T type C1.