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| Autore: |
Zhang Limao
|
| Titolo: |
Intelligent Construction in Tunnels / / by Limao Zhang, Yue Pan, Penghui Lin, Mirosław J. Skibniewski
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (512 pages) |
| Disciplina: | 624.19 |
| Soggetto topico: | Underground construction |
| Artificial intelligence | |
| Geotechnical engineering | |
| Underground Engineering and Tunnel Construction | |
| Artificial Intelligence | |
| Geotechnical Engineering and Applied Earth Sciences | |
| Altri autori: |
PanYue
LinPenghui
SkibniewskiMirosław J
|
| Nota di contenuto: | Introduction to intelligent construction -- Intelligent Geological Environment Perceptions -- Advance geological forecast -- Geological feature characterization -- Geological condition detection -- Tunnel face reliability modeling -- Intelligent TBM Operations -- Construction equipment selection -- TBM performance prediction -- Advanced TBM attitude control -- Synchronous excavation and segment assembly -- TBM fault detection -- Intelligent Proactive Decisions -- Tunnel line alignment -- Safety risk assessment.-Risk mitigation planning -- Digital twin platform development -- Conclusions and future directions. |
| Sommario/riassunto: | This book highlights the latest technologies and applications of intelligent construction in the domain of tunneling works. Rapid urbanization has surged the rapid development of underground infrastructures in major metropolitans around the world over the past decades. The development of urban tunnel systems is a challenging task with high complexity in terms of design, construction, and maintenance. Recent advancements in information and communication technologies (ICTs) have driven vast transformations around the world with successful implementations in many domains of science. Under the concept of “industry 4.0”, there are many attempts at intelligent construction using the latest ICTs, where the major applications in urban system development mainly focus on building information modelling (BIM), Internet of Things (IoT), deep learning, and computer vision. A tremendous transformation has taken place in the past years with the emerging intelligent construction applications in urban tunnel development. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in tunnel development but also enhancing construction competitiveness globally. |
| Titolo autorizzato: | Intelligent Construction in Tunnels ![]() |
| ISBN: | 981-9687-85-3 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911018763303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |