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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 11, 2015 - Issue 2
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Articles

Baseline-free real-time assessment of structural changes

João P. SantosStructures Department, National Laboratory for Civil Engineering (LNEC), Av. Brasil 101, 1700-066Lisboa, PortugalCorrespondence[email protected]
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,
André D. OrcesiMaterials and Structures Department, IFSTTAR, University Paris-Est, 14-20 Boulevard Newton, Champs sur Marne, F-77447Marne la Vallée Cedex 2, FranceView further author information
,
Christian CrémonaSÉTRA, Technical Center for Bridge Engineering, 110 Rue de Paris, 77171Sourdun, FranceView further author information
&
Paulo SilveiraStructures Department, National Laboratory for Civil Engineering (LNEC), Av. Brasil 101, 1700-066Lisboa, PortugalView further author information
Pages 145-161 | Received 16 Feb 2013, Accepted 20 Sep 2013, Published online: 20 Jan 2014

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Zhen Sun, Xiao-Wei Ye & Jun Lu. (2023) Estimating stay cable vibration under typhoon with an explainable ensemble learning model. Structure and Infrastructure Engineering 0:0, pages 1-13.
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Christian Soize & André Orcesi. (2021) Machine learning for detecting structural changes from dynamic monitoring using the probabilistic learning on manifolds. Structure and Infrastructure Engineering 17:10, pages 1418-1430.
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Mohammad Hassan Daneshvar, Alireza Gharighoran, Seyed Alireza Zareei & Abbas Karamodin. (2021) Early damage detection under massive data via innovative hybrid methods: application to a large-scale cable-stayed bridge. Structure and Infrastructure Engineering 17:7, pages 902-920.
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João Santos, Christian Crémona & Paulo Silveira. (2020) Automatic Operational Modal Analysis of Complex Civil Infrastructures. Structural Engineering International 30:3, pages 365-380.
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Henar Martín-Sanz, Konstantinos Tatsis, Vasilis K. Dertimanis, Luis David Avendaño-Valencia, Eugen Brühwiler & Eleni Chatzi. (2020) Monitoring of the UHPFRC strengthened Chillon viaduct under environmental and operational variability. Structure and Infrastructure Engineering 16:1, pages 138-168.
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Christian Cremona & Joao Santos. (2018) Structural Health Monitoring as a Big-Data Problem. Structural Engineering International 28:3, pages 243-254.
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Xingxian Bao, Meng Liu, Dianfu Fu, Chen Shi, Hongliang Cui, Zhengyi Sun, Zhihui Liu & Gregorio Iglesias. (2023) Damage identification for jacket offshore platforms using Transformer neural networks and random decrement technique. Ocean Engineering 288, pages 115973.
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Ana Fernandez-Navamuel, David Pardo, Filipe Magalhães, Diego Zamora-Sánchez, Ángel J. Omella & David Garcia-Sanchez. (2023) Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations. Mechanical Systems and Signal Processing 200, pages 110471.
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Hongshuo Sun, Li Song & Zhiwu Yu. (2023) A deep learning-based bridge damage detection and localization method. Mechanical Systems and Signal Processing 193, pages 110277.
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Zhen Sun, João Santos, Elsa Caetano & Catarina Oliveira. (2022) Interpreting cumulative displacement in a suspension bridge with a physics-based characterisation of environment and roadway/railway loads. Journal of Civil Structural Health Monitoring 13:2-3, pages 387-397.
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Ana Fernandez-Navamuel, David Pardo, Filipe Magalhaes, Diego Zamora-Sanchez, Ángel Javier Omella Milián & David Garcia-Sanchez. (2023) Bridge Damage Identification Under Varying Environmental and Operational Conditions Combining Deep Learning and Numerical Simulations. SSRN Electronic Journal.
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Zhen Sun, Dionysius M. Siringoringo, Shi-zhi Chen & Jun Lu. (2023) Cumulative displacement-based detection of damper malfunction in bridges using data-driven isolation forest algorithm. Engineering Failure Analysis 143, pages 106849.
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Daniel Soares, Rharã de Almeida Cardoso, Flávio de Souza Barbosa & Alexandre Abrahão Cury. 2023. Advances on Testing and Experimentation in Civil Engineering. Advances on Testing and Experimentation in Civil Engineering 269 290 .
Rick M. Delgadillo & Joan R. Casas. (2022) Bridge damage detection via improved completed ensemble empirical mode decomposition with adaptive noise and machine learning algorithms. Structural Control and Health Monitoring 29:8.
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Mohammad Hesam Soleimani‐Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, Ismini Lourentzou & Rodrigo Sarlo. (2022) Toward a general unsupervised novelty detection framework in structural health monitoring. Computer-Aided Civil and Infrastructure Engineering 37:9, pages 1128-1145.
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Jianxin Cao, Zheng Zhou & Yang Liu. (2022) Damage localization for prefabricated bridges group using the area-ratio of the strain time-history curve. Measurement 198, pages 111172.
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Mohammad Hesam Soleimani-Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh & Rodrigo Sarlo. (2022) A system reliability approach to real-time unsupervised structural health monitoring without prior information. Mechanical Systems and Signal Processing 171, pages 108913.
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Ana Fernandez-Navamuel, Diego Zamora-Sánchez, Ángel J. Omella, David Pardo, David Garcia-Sanchez & Filipe Magalhães. (2022) Supervised Deep Learning with Finite Element simulations for damage identification in bridges. Engineering Structures 257, pages 114016.
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A. Gallet, S. Rigby, T. N. Tallman, X. Kong, I. Hajirasouliha, A. Liew, D. Liu, L. Chen, A. Hauptmann & D. Smyl. (2022) Structural engineering from an inverse problems perspective. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 478:2257.
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Ruben Boroschek & Joao Pedro Santos. 2022. Handbook of Experimental Structural Dynamics. Handbook of Experimental Structural Dynamics 1247 1341 .
Victor Alves & Alexandre Cury. (2021) A fast and efficient feature extraction methodology for structural damage localization based on raw acceleration measurements. Structural Control and Health Monitoring 28:7.
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Felipe Isamu H. Sakiyama, Frank Lehmann & Harald Garrecht. (2021) A Novel Runtime Algorithm for the Real-Time Analysis and Detection of Unexpected Changes in a Real-Size SHM Network with Quasi-Distributed FBG Sensors. Sensors 21:8, pages 2871.
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Yadi Tian, Yang Xu, Dongyu Zhang & Hui Li. (2020) Relationship modeling between vehicle‐induced girder vertical deflection and cable tension by BiLSTM using field monitoring data of a cable‐stayed bridge. Structural Control and Health Monitoring.
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Shi-Zhi ChenGang Wu, De-Cheng Feng, Zhun WangXu-Yang Cao. (2020) Multi-Cross-Reference Method for Highway-Bridge Damage Identification Based on Long-Gauge Fiber Bragg-Grating Sensors. Journal of Bridge Engineering 25:6.
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Ruben Boroschek & Joao Pedro Santos. 2020. Handbook of Experimental Structural Dynamics. Handbook of Experimental Structural Dynamics 1 95 .
Rharã de Almeida Cardoso, Alexandre Cury & Flavio Barbosa. (2019) Automated real-time damage detection strategy using raw dynamic measurements. Engineering Structures 196, pages 109364.
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Shi-Zhi Chen, Gang Wu & De-Cheng Feng. (2019) Damage detection of highway bridges based on long-gauge strain response under stochastic traffic flow. Mechanical Systems and Signal Processing 127, pages 551-572.
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Rharã Almeida Cardoso, Alexandre Cury, Flavio Barbosa & Carmelo Gentile. (2019) Unsupervised real‐time SHM technique based on novelty indexes. Structural Control and Health Monitoring 26:7, pages e2364.
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John J. Moughty & Joan R. Casas. (2017) A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions. Applied Sciences 7:5, pages 510.
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Joan R. Casas & John James Moughty. (2017) Bridge Damage Detection Based on Vibration Data: Past and New Developments. Frontiers in Built Environment 3.
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João Pedro SantosChristian CremonaAndré D. OrcesiPaulo Silveira. (2017) Early Damage Detection Based on Pattern Recognition and Data Fusion. Journal of Structural Engineering 143:2.
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M. Malekzadeh, G. Atia & F. N. Catbas. (2015) Performance-based structural health monitoring through an innovative hybrid data interpretation framework. Journal of Civil Structural Health Monitoring 5:3, pages 287-305.
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