Adaptive Optimization of Shield Tunnel Segment Assembly Points by Integrating DBSCAN and Genetic Algorithm
In shield tunnel construction, segment assembly is a critical process, and its quality directly affects the overall performance and safety of the tunnel. Although the technology for shield tunnel segment assembly has developed, it still has limitations. Traditional methods for selecting assembly poi...
Gespeichert in:
| Veröffentlicht in: | 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC) S. 192 - 195 |
|---|---|
| Hauptverfasser: | , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
27.12.2024
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | In shield tunnel construction, segment assembly is a critical process, and its quality directly affects the overall performance and safety of the tunnel. Although the technology for shield tunnel segment assembly has developed, it still has limitations. Traditional methods for selecting assembly points often rely on experience or simple rules, making it difficult to adapt to the complex and dynamic construction environment.Genetic algorithms are widely used in optimization problems, and some studies have applied them to weight optimization for segment assembly point selection. However, existing methods often use fixed interval classification, which lacks flexibility and cannot dynamically adjust based on the actual data distribution. This leads to classification errors, particularly when dealing with unevenly distributed data.To address these issues, this paper proposes an innovative method that integrates DBSCAN (Density-Based Spatial Clustering of Applications with Noise) and genetic algorithms, aiming to achieve adaptive optimization of shield tunnel segment assembly points. The goal is to improve the accuracy and adaptability of assembly point selection, thereby enhancing tunnel construction quality. |
|---|---|
| AbstractList | In shield tunnel construction, segment assembly is a critical process, and its quality directly affects the overall performance and safety of the tunnel. Although the technology for shield tunnel segment assembly has developed, it still has limitations. Traditional methods for selecting assembly points often rely on experience or simple rules, making it difficult to adapt to the complex and dynamic construction environment.Genetic algorithms are widely used in optimization problems, and some studies have applied them to weight optimization for segment assembly point selection. However, existing methods often use fixed interval classification, which lacks flexibility and cannot dynamically adjust based on the actual data distribution. This leads to classification errors, particularly when dealing with unevenly distributed data.To address these issues, this paper proposes an innovative method that integrates DBSCAN (Density-Based Spatial Clustering of Applications with Noise) and genetic algorithms, aiming to achieve adaptive optimization of shield tunnel segment assembly points. The goal is to improve the accuracy and adaptability of assembly point selection, thereby enhancing tunnel construction quality. |
| Author | Xu, Xiao Liu, Hu |
| Author_xml | – sequence: 1 givenname: Xiao surname: Xu fullname: Xu, Xiao email: 18506113439@163.com organization: Shanghai Institute of Technology,College of Rail Transit,Shanghai,China – sequence: 2 givenname: Hu surname: Liu fullname: Liu, Hu email: liuhu@edu.com.cn organization: Shanghai Institute of Technology,College of Rail Transit,Shanghai,China |
| BookMark | eNo1kMFOwzAQRI0EByj9Aw77Ay2113bqYwilVKooUnqv7HqTGiVOlRik8vVEAk5PM9Kbw9yx69hFYgz4Ys75wjyuNqui0FKhmYuFkPOxE4ZrvGJTk5klIlcotRC37CP39pzCF8FuRBu-bQpdhK6C8hSo8bD_jJEaKKluKSbIh4Fa11zgvQsxDeAusImJ6n70Yg3PT2WRv4GNHtYUKYUj5E3d9SGd2nt2U9lmoOkfJ2z_stoXr7Ptbr0p8u0sGEwznzm0XBE_Lp2T5DkXaJz2SldolVeOrJMcK22k5DrL1BHHaI23UmjUiBP28DsbiOhw7kNr-8vh_wH8AUclVpI |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/EIECC64539.2024.10929163 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Xplore IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9798331534622 |
| EndPage | 195 |
| ExternalDocumentID | 10929163 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i93t-d7b3a15e1c8bb4ed11239b6d56f3a5d5beab413f694416775c3413a9da4263633 |
| IEDL.DBID | RIE |
| IngestDate | Wed Apr 02 05:44:47 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i93t-d7b3a15e1c8bb4ed11239b6d56f3a5d5beab413f694416775c3413a9da4263633 |
| PageCount | 4 |
| ParticipantIDs | ieee_primary_10929163 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-Dec.-27 |
| PublicationDateYYYYMMDD | 2024-12-27 |
| PublicationDate_xml | – month: 12 year: 2024 text: 2024-Dec.-27 day: 27 |
| PublicationDecade | 2020 |
| PublicationTitle | 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC) |
| PublicationTitleAbbrev | EIECC |
| PublicationYear | 2024 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.8938236 |
| Snippet | In shield tunnel construction, segment assembly is a critical process, and its quality directly affects the overall performance and safety of the tunnel.... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 192 |
| SubjectTerms | Accuracy Adaptive optimization Assembly Assembly point selection Classification algorithms DBSCAN Genetic algorithms Heuristic algorithms LOF Noise Optimization Safety Segment assembly |
| Title | Adaptive Optimization of Shield Tunnel Segment Assembly Points by Integrating DBSCAN and Genetic Algorithm |
| URI | https://ieeexplore.ieee.org/document/10929163 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG6EePCkRoy_8w5ei2Pr2vWIEyIXJIEDN9KuHc7ARmCY8N_7OobGgwdPbZqmTfrjfS_t-75HyCNDF9swP6USO1DGkg5FG6ipVsYyp5eGlSrZhBgOo-lUjmqyesWFsdZWwWe27arVX74pkq17KsMbjmCODkSDNITge7LWITrHk0-9QS-OOQsrAorP2ofuvxKnVLjRP_3njGek9cPAg9E3tpyTI5tfkI-uUStnnuANi2XNoIQiBZfRemFgsnVRKzC2czcsuA_dpV7sYFRkebkBvYNBrQ6Bg8LL8zjuDkHlBpz4NJ4g6C7mxTor35ctMun3JvErrXMl0EwGJTVCB6oT2k4Sac2sQS8qkJqbkKeBCk2ordIIVymX6P5wIcLEoZeSRjnBdh4El6SZF7m9IuBrtDtewj3NFDPSk1oFNo2UijhPEP-vScut02y1V8OYHZbo5o_2W3LidsOFgPjijjTL9dbek-Pks8w264dqD78ABz-fhA |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG4UTfSkRoy_fQevw7F13XrEiYGIkwQO3Ei7djgDG4Fhwn_v6xgaDx48rVnWLmnX931Z3_c9Qu4pUmxFncTi-IBFady0MAZKSwqlqfFLw0ZZbMKPomA04v1KrF5qYbTWZfKZbphmeZav8nhlfpXhDkcwRwKxS_Y8Sh17I9fa5ufY_KHdbYcho14pQXFoY9vhV-mUEjmej_75zmNS_9HgQf8bXU7Ijs5OyUdLibkJUPCGl1mloYQ8AVPTeqpguDJ5KzDQEzMsmCPdmZyuoZ-nWbEEuYZu5Q-Bg8LT4yBsRSAyBcZ-Gr8haE0n-SIt3md1MnxuD8OOVVVLsFLuFpbypSuanm7GgZRUK-RRLpdMeSxxhac8qYVEwEoYRwLEfN-LDX4JroSxbGeue0ZqWZ7pcwKOxMhjx8yWVFDFbS6Fq5NAiICxGBnABambeRrPN34Y4-0UXf5x_44cdIavvXGvG71ckUOzMiYhxPGvSa1YrPQN2Y8_i3S5uC3X8wuBK6LL |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2024+4th+International+Conference+on+Electronic+Information+Engineering+and+Computer+Communication+%28EIECC%29&rft.atitle=Adaptive+Optimization+of+Shield+Tunnel+Segment+Assembly+Points+by+Integrating+DBSCAN+and+Genetic+Algorithm&rft.au=Xu%2C+Xiao&rft.au=Liu%2C+Hu&rft.date=2024-12-27&rft.pub=IEEE&rft.spage=192&rft.epage=195&rft_id=info:doi/10.1109%2FEIECC64539.2024.10929163&rft.externalDocID=10929163 |