Sensing and monitoring in tunnels testing and monitoring methods for the assessment of tunnels

The paper presents a review of testing methods and a classification of strategies and tools in terms of technologies and techniques applied to the monitoring of tunnels. In particular, the topic is contextualized through a brief introduction in Chapter 1, followed by defect taxonomy and degradation mechanisms in Chapters 2 and 3, respectively. Chapters 4 and 5 are related to monitoring strategies and technologies. The former consists of purpose‐based categorization of monitoring policies, while the latter consists of classification of monitoring methods including nondestructive and semidestructive techniques as well as of classification of various types of sensors also based on the physical or chemical quantity measured. General rules of implementation and operation of tunnel monitoring systems are presented taking into account international expert knowledge as well as contemporary practical experience in Austria. Considered issues are related to the fib Model Code 2020 (MC2020) focused on evaluation of structural performance assisted by monitoring and testing. Chapter 6 presents challenges related to the monitoring implementation and operation. Chapter 7 discusses about monitoring characteristics in new tunnel, including data acquisition‐transmission and specific monitoring techniques. Chapter 8 instead treats a particular topic related to considerations related to monitoring characteristics of existing tunnel under investigation. Concluding remarks and references finally close the paper.

[1]  Jan Bien,et al.  Taxonomy of non-destructive field tests of bridge materials and structures , 2019 .

[2]  Belén Riveiro Rodríguez,et al.  Laser scanning and its applications to damage detection and monitoring in masonry structures , 2019 .

[3]  Belén Riveiro,et al.  Automated detection and decomposition of railway tunnels from Mobile Laser Scanning Datasets , 2018, Automation in Construction.

[4]  Carl J. Debono,et al.  Tunnel inspection using photogrammetric techniques and image processing: A review , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[5]  Matteo Vagnoli,et al.  Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges , 2018 .

[6]  Stuart Matthews,et al.  fib Model Code 2020: Towards a general code for both new and existing concrete structures , 2018, Structural Concrete.

[7]  Chang-Su Shim,et al.  Development of BIM-based bridge maintenance system for cable-stayed bridges , 2017 .

[8]  Konrad Bergmeister,et al.  Drill and blast excavation forecasting using 3D laser scanning , 2017 .

[9]  W. Zhang,et al.  Bridge-Deflection Estimation through Inclinometer Data Considering Structural Damages , 2017 .

[10]  Dan M. Frangopol,et al.  Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks , 2016 .

[11]  T. Konstantis Tunnel Losses: Causes, Impact, Trends and Risk Engineering Management , 2016 .

[12]  Jan Bien,et al.  Validation of numerical models of concrete box bridges based on load test results , 2015 .

[13]  Jerzy Hoła,et al.  Non-destructive and semi-destructive diagnostics of concrete structures in assessment of their durability , 2015 .

[14]  Vivian Vimarlund,et al.  Applications of terrestrial laser scanning for tunnels : a review , 2014 .

[15]  Lizhen Zhao,et al.  Application of Inclinometer in Arch Bridge Dynamic Deflection Measurement , 2014 .

[16]  Stuart S. Chen,et al.  Development of Concrete Bridge Data Schema for Interoperability , 2014 .

[17]  M. L. Wang,et al.  Sensing hardware and data collection methods for performance assessment , 2014 .

[18]  Marko Pejić,et al.  Design and optimisation of laser scanning for tunnels geometry inspection , 2013 .

[19]  You-Lin Xu,et al.  Structural Health Monitoring of Long-Span Suspension Bridges , 2011 .

[20]  M. Menenti,et al.  Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points , 2011 .

[21]  Konrad Bergmeister,et al.  Modellkorrekturfaktoren als “Performance Indikatoren” für die Langzeitbewertung der integralen Marktwasserbrücke S33.24 , 2011 .

[22]  Paulo J. S. Cruz,et al.  Load capacity of damaged RC slab spans of railway-bridges , 2011 .

[23]  J. Bień,et al.  Modelling of structure geometry in Bridge Management Systems , 2011 .

[24]  Dan M. Frangopol,et al.  Monitoring and influence lines based performance indicators , 2011 .

[25]  Mark S. Diederichs,et al.  Geotechnical and operational applications for 3-dimensional laser scanning in drill and blast tunnels , 2010 .

[26]  Amy L. Murphy,et al.  Not all wireless sensor networks are created equal: A comparative study on tunnels , 2010, TOSN.

[27]  Jan Bien,et al.  Knowledge-based expert tools in bridge management , 2010 .

[28]  Chan Ghee Koh,et al.  Structural Identification and Damage Detection using Genetic Algorithms , 2010 .

[29]  Xinqun Zhu,et al.  Damage Models and Algorithms for Assessment of Structures under Operating Conditions , 2009 .

[30]  Vistasp M. Karbhari,et al.  Structural health monitoring of civil infrastructure systems , 2009 .

[31]  Helmut Wenzel,et al.  Health monitoring of bridges , 2009 .

[32]  Filipe Magalhães,et al.  Output-only dynamic testing of bridges and special structures , 2007 .

[33]  Paulo B. Lourenço,et al.  Practical implications of GPR investigation using 3D data reconstruction and transmission tomography , 2007 .

[34]  Alfredo Güemes,et al.  Structural health monitoring , 2006 .

[35]  Helmut Wenzel,et al.  Ambient Vibration Monitoring: Wenzel/Ambient Vibration Monitoring , 2005 .

[36]  Xingmin Hou,et al.  Using Inclinometers to Measure Bridge Deflection , 2005 .

[37]  Sanghyun Choi,et al.  Periodic monitoring of physical property changes in a concrete box-girder bridge , 2004 .

[38]  Lennart Elfgren,et al.  Sustainable bridges : assessment for future traffic demands and longer lives , 2004 .

[39]  Gerald F. Marshall,et al.  Handbook of Optical and Laser Scanning , 2004 .

[40]  Jan Bien,et al.  Hybrid knowledge representation in BMS , 2004 .

[41]  K. Thiel,et al.  PERFORMANCE CAPABILITIES OF LASER SCANNERS-AN OVERVIEW AND MEASUREMENT PRINCIPLE ANALYSIS - , 2004 .

[42]  J. Zwolski,et al.  DYNAMIC LOAD TESTS IN BRIDGE MANAGEMENT , 2003 .

[43]  Nuno M. M. Maia,et al.  Damage detection in structures: From mode shape to frequency response function methods , 2003 .

[44]  Charles Hellier,et al.  Handbook of Nondestructive Evaluation , 2001 .

[45]  Michael P. Enright,et al.  SURVEY AND EVALUATION OF DAMAGED CONCRETE BRIDGES , 2000 .

[46]  H Ludescher,et al.  DISTINCTIVE FEATURES OF THE SWISS ROAD STRUCTURES MANAGEMENT SYSTEM , 1999 .

[47]  Fu-Kuo Chang,et al.  Structural Health Monitoring , 2016 .

[48]  Louis Cartz,et al.  Nondestructive Testing: Radiography, Ultrasonics, Liquid Penetrant, Magnetic Particle, Eddy Current , 1995 .

[49]  Marja-Kaarina Söderqvist,et al.  THE FINNISH BRIDGE MANAGEMENT SYSTEM , 1993 .

[50]  Allen R. Marshall,et al.  The PONTIS bridge management system , 1998 .

[51]  Donald T. McBride,et al.  Nondestructive testing techniques , 1992 .

[52]  V. M. Malhotra,et al.  CRC Handbook on Nondestructive Testing of Concrete , 1990 .

[53]  Paul E. Mix,et al.  Introduction to nondestructive testing : a training guide , 1989 .

[54]  R King,et al.  Corrosion of steel in reinforced concrete , 1986 .

[55]  H. Pelzer Zur Analyse geodatischer Deformations-messungen. , 1971 .