1.

Record Nr.

UNINA9911018763303321

Autore

Zhang Limao

Titolo

Intelligent Construction in Tunnels / / by Limao Zhang, Yue Pan, Penghui Lin, Mirosław J. Skibniewski

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

981-9687-85-3

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (512 pages)

Collana

Lecture Notes in Civil Engineering, , 2366-2565 ; ; 679

Altri autori (Persone)

PanYue

LinPenghui

SkibniewskiMirosław J

Disciplina

624.19

Soggetti

Underground construction

Artificial intelligence

Geotechnical engineering

Underground Engineering and Tunnel Construction

Artificial Intelligence

Geotechnical Engineering and Applied Earth Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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.