Fibre optic methods for structural health monitoring B Glisic, D Inaudi John Wiley & Sons, 2007 | 801 | 2007 |
Long-range pipeline monitoring by distributed fiber optic sensing D Inaudi, B Glisic Journal of pressure vessel technology 132, 011701, 2010 | 254 | 2010 |
Crack detection and characterization techniques—An overview Y Yao, STE Tung, B Glisic Structural Control and Health Monitoring 21 (12), 1387-1413, 2014 | 235 | 2014 |
Value of information: impact of monitoring on decision‐making D Zonta, B Glisic, S Adriaenssens Structural Control and Health Monitoring 21 (7), 1043-1056, 2014 | 187 | 2014 |
Development of method for in-service crack detection based on distributed fiber optic sensors B Glisic, D Inaudi Structural Health Monitoring 11 (2), 161-171, 2012 | 173 | 2012 |
Fiber optic method for health assessment of pipelines subjected to earthquake-induced ground movement B Glisic, Y Yao Structural Health Monitoring 11 (6), 696-711, 2012 | 127 | 2012 |
Detection of steel fatigue cracks with strain sensing sheets based on large area electronics Y Yao, B Glisic Sensors 15 (4), 8088-8108, 2015 | 125 | 2015 |
Monitoring of concrete at very early age using stiff SOFO sensor B Glišić, N Simon Cement and Concrete Composites 22 (2), 115-119, 2000 | 123 | 2000 |
Neutral axis as damage sensitive feature DH Sigurdardottir, B Glisic Smart Materials and Structures 22 (7), 075030, 2013 | 102 | 2013 |
Virtual tours and informational modeling for conservation of cultural heritage sites RK Napolitano, G Scherer, B Glisic Journal of Cultural Heritage 29, 123-129, 2018 | 99 | 2018 |
Evaluation of a large-scale bridge strain, temperature and crack monitoring with distributed fibre optic sensors M Enckell, B Glisic, F Myrvoll, B Bergstrand Journal of Civil Structural Health Monitoring 1, 37-46, 2011 | 91 | 2011 |
Convolutional neural network‐based wind‐induced response estimation model for tall buildings BK Oh, B Glisic, Y Kim, HS Park Computer‐Aided Civil and Infrastructure Engineering 34 (10), 843-858, 2019 | 90 | 2019 |
Monitoring of prestressing forces in prestressed concrete structures—An overview H Abdel‐Jaber, B Glisic Structural Control and Health Monitoring 26 (8), e2374, 2019 | 89 | 2019 |
Submillimeter crack detection with Brillouin-based fiber-optic sensors F Ravet, F Briffod, B Glisic, M Nikles, D Inaudi IEEE Sensors Journal 9 (11), 1391-1396, 2009 | 84 | 2009 |
Convolutional neural network–based data recovery method for structural health monitoring BK Oh, B Glisic, Y Kim, HS Park Structural Health Monitoring 19 (6), 1821-1838, 2020 | 77 | 2020 |
Influence of the gauge length on the accuracy of long-gauge sensors employed in monitoring of prismatic beams B Glisic Measurement Science and Technology 22 (3), 035206, 2011 | 77 | 2011 |
Integrity monitoring of an old steel bridge using fiber optic distributed sensors based on Brillouin scattering B Glišić, D Posenato, D Inaudi Nondestructive characterization for composite materials, aerospace …, 2007 | 77 | 2007 |
Distributed fiber optic strain and temperature sensing for structural health monitoring D Inaudi, B Glisic Proceedings of the third international conference on bridge maintenance …, 2006 | 77 | 2006 |
Monitoring of long-term prestress losses in prestressed concrete structures using fiber optic sensors H Abdel-Jaber, B Glisic Structural Health Monitoring 18 (1), 254-269, 2019 | 73 | 2019 |
Neural network-based seismic response prediction model for building structures using artificial earthquakes BK Oh, B Glisic, SW Park, HS Park Journal of Sound and Vibration 468, 115109, 2020 | 70 | 2020 |