東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Feature Recognition and Strength Estimation of Chain Links Using 3D Inspection Data for Mooring Integrity Assessment.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Feature Recognition and Strength Estimation of Chain Links Using 3D Inspection Data for Mooring Integrity Assessment./
作者:	Sachan, Ankit.
面頁冊數:	1 online resource (259 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-07, Section: B.
Contained By:	Dissertations Abstracts International83-07B.
標題:	Load. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28832854click for full text (PQDT)
ISBN:	9798460446094

Feature Recognition and Strength Estimation of Chain Links Using 3D Inspection Data for Mooring Integrity Assessment.
Sachan, Ankit.

Feature Recognition and Strength Estimation of Chain Links Using 3D Inspection Data for Mooring Integrity Assessment. - 1 online resource (259 pages)

Source: Dissertations Abstracts International, Volume: 83-07, Section: B.

Thesis (Ph.D.)--National University of Singapore (Singapore), 2020.

Includes bibliographical references

Mooring systems restrict horizontal offset of floating vessels against a combination of loads arising from wind, waves and current. Past studies have observed extremely high failure probabilities which could be reduced through robust inspection and monitoring techniques. The current in-air inspection techniques are tedious, time consuming and expensive. And, the current in-water inspection techniques are unreliable and undergoing extensive research. The research work aimed at improving the in-water inspection technique by utilizing 3D inspection data of chain links for better mooring integrity assessment. The first part of the study focused on residual strength estimation of chain links by utilizing suitable material degradation model identified using ultimate strength tests on 76 mm stud chain links and material strength tests. The second part utilizes 3D scans and feature monitoring for weak link identification. The 3D point cloud data is further converted to FE models for residual strength estimation of degraded links.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798460446094Subjects--Topical Terms:

3562902
Load.
Subjects--Index Terms:

Mooring systemsIndex Terms--Genre/Form:

542853
Electronic books.

Feature Recognition and Strength Estimation of Chain Links Using 3D Inspection Data for Mooring Integrity Assessment.
LDR:02476nmm a2200397K 4500 001 2359337
005 20230917193916.5
006 m o d
007 cr mn ---uuuuu
008 241011s2020 xx obm 000 0 eng d
020 $a 9798460446094
035 $a (MiAaPQ)AAI28832854
035 $a (MiAaPQ)USingapore171846
035 $a AAI28832854
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Sachan, Ankit. $3 3699934
245 1 0 $a Feature Recognition and Strength Estimation of Chain Links Using 3D Inspection Data for Mooring Integrity Assessment.
264 0 $c 2020
300 $a 1 online resource (259 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 83-07, Section: B.
500 $a Advisor: Sang, Choo Yoo.
502 $a Thesis (Ph.D.)--National University of Singapore (Singapore), 2020.
504 $a Includes bibliographical references
520 $a Mooring systems restrict horizontal offset of floating vessels against a combination of loads arising from wind, waves and current. Past studies have observed extremely high failure probabilities which could be reduced through robust inspection and monitoring techniques. The current in-air inspection techniques are tedious, time consuming and expensive. And, the current in-water inspection techniques are unreliable and undergoing extensive research. The research work aimed at improving the in-water inspection technique by utilizing 3D inspection data of chain links for better mooring integrity assessment. The first part of the study focused on residual strength estimation of chain links by utilizing suitable material degradation model identified using ultimate strength tests on 76 mm stud chain links and material strength tests. The second part utilizes 3D scans and feature monitoring for weak link identification. The 3D point cloud data is further converted to FE models for residual strength estimation of degraded links.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Load. $3 3562902
650 4 $a Three dimensional imaging. $3 1084804
650 4 $a Failure analysis. $3 3563948
650 4 $a Stress concentration. $3 747123
650 4 $a Residual stress. $3 3686079
650 4 $a Geometry. $3 517251
650 4 $a Metal fatigue. $3 3681450
650 4 $a Corrosion. $3 3595443
650 4 $a Mathematics. $3 515831
650 4 $a Mechanics. $3 525881
650 4 $a Physics. $3 516296
650 4 $a Naval engineering. $3 3173824
653 $a Mooring systems
653 $a Mooring chains
653 $a Floating production units
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0405
690 $a 0346
690 $a 0605
690 $a 0468
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a National University of Singapore (Singapore). $3 3352228
773 0 $t Dissertations Abstracts International $g 83-07B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28832854 $z click for full text (PQDT)