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Transverse deformational behaviors of segmental lining during shield tunneling: A case study

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/nag.395openalex-snapshot

A 3D finite element simulation model for TBM tunnelling in soft ground

inferredcites →https://doi.org/10.1002/stc.2056openalex-snapshot

Monitoring the behavior of segment joints in a shield tunnel using distributed fiber optic sensors

inferredcites →https://doi.org/10.1007/s10706-018-0648-yopenalex-snapshot

Causes Analysis, Reinforcement and Repair Technology of Segment Crack and Damage During Shield Tunnelling Process: A Case Study

inferredcites →https://doi.org/10.1007/s10706-019-01039-0openalex-snapshot

Deformation Regularity and Control of Segment Joints in the Project of Shield Tunneling Prior to the Shafts Excavation

inferredcites →https://doi.org/10.1016/j.adhoc.2010.04.002openalex-snapshot

Smart bridges, smart tunnels: Transforming wireless sensor networks from research prototypes into robust engineering infrastructure

inferredcites →https://doi.org/10.1016/j.engfailanal.2020.104899openalex-snapshot

Experimental study on damage evolution characteristics of segment structure of shield tunnel with cracks based on acoustic emission information

inferredcites →https://doi.org/10.1016/j.enggeo.2017.09.011openalex-snapshot

Influence of spatial variability of soil Young's modulus on tunnel convergence in soft soils

inferredcites →https://doi.org/10.1016/j.jrmge.2016.09.005openalex-snapshot

An integrated risk sensing system for geo-structural safety

inferredcites →https://doi.org/10.1016/j.measurement.2013.04.018openalex-snapshot

Wireless Sensor Network nodes correlation method in coal mine tunnel based on Bayesian decision

inferredcites →https://doi.org/10.1016/j.tust.2008.05.007openalex-snapshot

Numerical study on crack problems in segments of shield tunnel using finite element method

inferredcites →https://doi.org/10.1016/j.tust.2011.08.005openalex-snapshot

Response of a double-decked metro tunnel to shield driving of twin closely under-crossing tunnels

inferredcites →https://doi.org/10.1016/j.tust.2015.08.001openalex-snapshot

Longitudinal structural modelling of shield tunnels considering shearing dislocation between segmental rings

inferredcites →https://doi.org/10.1016/j.tust.2015.10.033openalex-snapshot

Effects of lateral unloading on the mechanical and deformation performance of shield tunnel segment joints

inferredcites →https://doi.org/10.1016/j.tust.2015.10.044openalex-snapshot

Resilience analysis of shield tunnel lining under extreme surcharge: Characterization and field application

inferredcites →https://doi.org/10.1016/j.tust.2016.03.014openalex-snapshot

Measurement system with angular encoders for continuous monitoring of tunnel convergence

inferredcites →https://doi.org/10.1016/j.tust.2021.103937openalex-snapshot

Experimental study on the tensile performance of circumferential joint in shield tunnel

inferredcites →https://doi.org/10.1016/j.tws.2018.07.057openalex-snapshot

Load-carrying capability of shield tunnel damaged by shield shell squeezing action during construction

inferredcites →https://doi.org/10.1016/j.tws.2019.03.008openalex-snapshot

Experimental investigation on the cyclic behaviors of ultra-high-performance steel fiber reinforced concrete filled thin-walled steel tubular columns

inferredcites →https://doi.org/10.1016/s0886-7798(99)00035-8openalex-snapshot

Three-dimensional structural analyses of the shield-driven “Green Heart” tunnel of the high-speed line South

inferredcites →https://doi.org/10.1061/(asce)1090-0241(1998)124:9(846)openalex-snapshot

Analytical Prediction for Tunneling-Induced Ground Movements in Clays

inferredcites →https://doi.org/10.1080/15732479.2020.1801767openalex-snapshot

A horizontal convergence monitoring method based on wireless tilt sensors for shield tunnels with straight joints

inferredcites →https://doi.org/10.1109/jsen.2019.2948956openalex-snapshot

Information Granularity With the Self-Emergence Mechanism for Event Detection in WSN-Based Tunnel Health Monitoring

inferredcites →https://doi.org/10.1109/tkde.2015.2411594openalex-snapshot

Practical Data Prediction for Real-World Wireless Sensor Networks

inferredcites →https://doi.org/10.1145/1824766.1824771openalex-snapshot

Not all wireless sensor networks are created equal

inferredcites →https://doi.org/10.1155/2021/6620706openalex-snapshot

Investigation on the Influence Caused by Shield Tunneling: WSN Monitoring and Numerical Simulation

inferredcites →https://doi.org/10.12989/sss.2010.6.5_6.619openalex-snapshot

Wireless sensor networks for underground railway applications: case studies in Prague and London

inferredcites →https://doi.org/10.12989/sss.2019.24.6.693openalex-snapshot

Multi-sensor data fusion based assessment on shield tunnel safety

inferredcites →https://doi.org/10.3390/s20092580openalex-snapshot

Theoretical and Experimental Studies on the Signal Propagation in Soil for Wireless Underground Sensor Networks

inferredcites →https://doi.org/10.3390/s20226669openalex-snapshot

Towards Automated 3D Inspection of Water Leakages in Shield Tunnel Linings Using Mobile Laser Scanning Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4566734openalex-extracted

Investigation of the Origins of Water Seepage During Shield Tunnel in Sandy Cobble Strata: A Case Study

inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106281openalex-snapshot

Structural geometry-informed 3D deep learning for segmental tunnel lining analysis in point clouds

inferred← citeshttps://doi.org/10.1016/j.compgeo.2024.106584openalex-snapshot

Data-Based postural prediction of shield tunneling via machine learning with physical information

inferred← citeshttps://doi.org/10.1016/j.tust.2023.105315openalex-snapshot

A hybrid sensing of rotation-induced stress of segmental lining during shield tunneling via WSN and surrogate numerical modeling

inferred← citeshttps://doi.org/10.1016/j.tust.2024.105784openalex-snapshot

Mechanism and impact of water seepage during shield tunnelling in sandy cobble strata: A case study

inferred← citeshttps://doi.org/10.1016/j.tust.2024.105816openalex-snapshot

Observed uplift behaviors of segmental lining during shield tunneling in hard rock: a case study from Changsha, China

inferred← citeshttps://doi.org/10.1016/j.tust.2025.106427openalex-snapshot

Monitoring-based analysis of the responses of upper structure and tunnel lining during shield tunneling with pile cutting

inferred← citeshttps://doi.org/10.1016/j.tust.2025.106540openalex-snapshot

Study on mechanical and damage characteristics of segment lining under the squeezing action of shield shell

inferred← citeshttps://doi.org/10.1016/j.tust.2025.106726openalex-snapshot

Real-time prediction of tunnel face deformations by multivariate construction information

inferred← citeshttps://doi.org/10.1016/j.tust.2025.106859openalex-snapshot

Automated digital reconstruction of high-fidelity present-day geometries for segmental tunnel linings based on segmented point clouds

inferred← citeshttps://doi.org/10.1016/j.tust.2026.108073openalex-snapshot

Smart segment-enabled IoT monitoring of shield tunnel longitudinal joints: Inferring hidden structural states from measurable segment rotations

inferred← citeshttps://doi.org/10.1088/1755-1315/1337/1/012019openalex-snapshot

Surrogate numerical prediction method of TBM position via FEM simulation and machine learning

inferred← citeshttps://doi.org/10.1139/cgj-2024-0359openalex-snapshot

Deformational behaviors of existing three-line tunnels induced by under-crossing of three-line mechanized tunnels: a case study

inferred← citeshttps://doi.org/10.1139/cgj-2025-0728openalex-snapshot

Comprehensive investigation on mechanical and breakage behaviors of coral sand under plane strain state

inferred← citeshttps://doi.org/10.1155/2023/8128701openalex-snapshot

A Novel Back-Analysis Approach for the External Loads on Shield Tunnel Lining in Service Based on Monitored Deformation

inferred← citeshttps://doi.org/10.1201/9781003323020-490openalex-snapshot

Refined perception and management of ring-wise deformation information for shield tunnels based on point cloud deep learning and BIM

inferred← citeshttps://doi.org/10.2139/ssrn.4897949openalex-snapshot

Big Data-Driven Evaluation of Shield Tunneling Performance: Methodology and Application to a Pile-Cutting Engineering Project

inferred← citeshttps://doi.org/10.3390/infrastructures10070183openalex-snapshot

Comprehensive Substantiation of the Impact of Pre-Support Technology on a 50-Year-Old Subway Station During the Construction of Undercrossing Tunnel Lines

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