Critical review of data-driven decision-making in bridge operation and maintenance

[1]  Rujin Ma,et al.  Vehicle models for fatigue loading on steel box-girder bridges based on weigh-in-motion data , 2018 .

[2]  David Lehký,et al.  Modeling of degradation processes in concrete: Probabilistic lifetime and load-bearing capacity assessment of existing reinforced concrete bridges , 2016 .

[3]  De-Cheng Feng,et al.  Development of a bridge weigh-in-motion method considering the presence of multiple vehicles , 2019, Engineering Structures.

[4]  Ayan Sadhu,et al.  Improved visualization of infrastructure monitoring data using building information modeling , 2019, Structure and Infrastructure Engineering.

[5]  Devin K. Harris,et al.  Combined Imaging Technologies for Concrete Bridge Deck Condition Assessment , 2015 .

[6]  Osama Moselhi,et al.  Concrete bridge deck condition assessment using IR Thermography and Ground Penetrating Radar technologies , 2017 .

[7]  Piotr Omenzetter,et al.  A risk and criticality-based approach to bridge performance data collection and monitoring , 2013 .

[8]  Chengke Wu,et al.  Overview of BIM maturity measurement tools , 2017, J. Inf. Technol. Constr..

[9]  Xue P. Fan,et al.  Dynamic reliability prediction for the steel box girder based on multivariate Bayesian dynamic Gaussian copula model and SHM extreme stress data , 2020, Structural Control and Health Monitoring.

[10]  Nan Jiang,et al.  Fatigue Reliability Assessment for Orthotropic Steel Deck Details Using Copulas: Application to Nan-Xi Yangtze River Bridge , 2018 .

[11]  Youssef Diab,et al.  Adapting LOD definition to meet BIM uses requirements and data modeling for linear infrastructures projects: using system and requirement engineering , 2017 .

[12]  Samer Madanat,et al.  History-Dependent Bridge Deck Maintenance and Replacement Optimization with Markov Decision Processes , 2007 .

[13]  Vikram Pakrashi,et al.  Texture Analysis Based Damage Detection of Ageing Infrastructural Elements , 2013, Comput. Aided Civ. Infrastructure Eng..

[14]  Dan M. Frangopol,et al.  Optimization of Life-Cycle Maintenance of Deteriorating Bridges with Respect to Expected Annual System Failure Rate and Expected Cumulative Cost , 2014 .

[15]  C. S. Cai,et al.  Estimation of extreme structural response distributions for mean recurrence intervals based on short-term monitoring , 2016 .

[16]  Hanjin Hu,et al.  Building Information Modeling (BIM) for transportation infrastructure – Literature review, applications, challenges, and recommendations , 2018, Automation in Construction.

[17]  Juan A. Quintana,et al.  SHM of a stayed bridge during a structural failure, case study: the Rio Papaloapan Bridge , 2017 .

[18]  Min-Yuan Cheng,et al.  Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network , 2015, J. Comput. Civ. Eng..

[19]  Fei Yan,et al.  Time-Frequency-Based Data-Driven Structural Diagnosis and Damage Detection for Cable-Stayed Bridges , 2018, Journal of Bridge Engineering.

[20]  Ting-Hua Yi,et al.  Innovative Design of a Health Monitoring System and Its Implementation in a Complicated Long-Span Arch Bridge , 2017 .

[21]  Sujeeva Setunge,et al.  Fault-Tree-Based Integrated Approach of Assessing the Risk of Failure of Deteriorated Reinforced-Concrete Bridges , 2016 .

[22]  Chun Sheng Wang,et al.  Fatigue Reliability Updating Evaluation of Existing Steel Bridges , 2012 .

[23]  Koji Mitani,et al.  Monitoring concrete bridge decks using infrared thermography with high speed vehicles , 2016 .

[24]  Dan M. Frangopol,et al.  Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures , 2014, Reliab. Eng. Syst. Saf..

[25]  Ayaho Miyamoto,et al.  Development of practical health monitoring system for short- and medium-span bridges based on vibration responses of city bus , 2012 .

[26]  Kaveh Arjomandi,et al.  Monitoring time in operational modal tests with broad and narrow band excitations , 2019 .

[27]  Nhat-Duc Hoang,et al.  Estimation of scour depth at bridges with complex pier foundations using support vector regression integrated with feature selection , 2018 .

[28]  Dan M. Frangopol,et al.  Probabilistic optimum inspection planning of steel bridges with multiple fatigue sensitive details , 2013 .

[29]  Dan M. Frangopol,et al.  Optimization of bridge maintenance strategies based on multiple limit states and monitoring , 2010 .

[30]  Christian Cremona,et al.  Early Damage Detection Based on Pattern Recognition and Data Fusion , 2017 .

[31]  Carlo Cappello,et al.  Erratum to: Impact of prior perception on bridge health diagnosis , 2015 .

[32]  Hui Li,et al.  Sparse l1 optimization‐based identification approach for the distribution of moving heavy vehicle loads on cable‐stayed bridges , 2016 .

[33]  Knut Andreas Kvåle,et al.  Operational modal analysis of an end-supported pontoon bridge , 2017 .

[34]  Atul Prakash,et al.  SenStore: A Scalable Cyberinfrastructure Platform for Implementation of Data-to-Decision Frameworks for Infrastructure Health Management , 2016, J. Comput. Civ. Eng..

[35]  Tarek Zayed,et al.  Integrated condition rating and forecasting method for bridge decks using Visual Inspection and Ground Penetrating Radar , 2018 .

[36]  Yun Zhou,et al.  Structural Identification of a Concrete-Filled Steel Tubular Arch Bridge via Ambient Vibration Test Data , 2017 .

[37]  Seung-Hyun Lee,et al.  Balanced allocation of bridge deck maintenance budget through multi-objective optimization , 2017 .

[38]  Yikai Chen,et al.  Development and field application of a multivariate statistical process control framework for health-monitoring of transportation infrastructure , 2015 .

[39]  Dongsheng Li,et al.  Fracture Mechanism and Damage Evaluation of FRP/Steel–Concrete Hybrid Girder Using Acoustic Emission Technique , 2019, Journal of Materials in Civil Engineering.

[40]  Guido Morgenthal,et al.  Framework for automated UAS-based structural condition assessment of bridges , 2019, Automation in Construction.

[41]  Chul Min Yeum,et al.  Vision‐Based Automated Crack Detection for Bridge Inspection , 2015, Comput. Aided Civ. Infrastructure Eng..

[42]  Scott McClure,et al.  Development of User-Friendly Software Application for Extracting Information from National Bridge Inventory Source Files , 2010 .

[43]  Juan A. Quintana,et al.  Techno-economical and practical considerations for SHM systems , 2017 .

[44]  Jerome P. Lynch,et al.  Internet-Enabled Wireless Structural Monitoring Systems: Development and Permanent Deployment at the New Carquinez Suspension Bridge , 2013 .

[45]  Caroline M. Clevenger,et al.  Bridge Information Modeling for Inspection and Evaluation , 2016 .

[46]  Víctor Compán,et al.  E. Torroja’s Bridge: Tailored Experimental Setup for SHM of a Historical Bridge with a Reduced Number of Sensors , 2018 .

[47]  Branko Glisic,et al.  Advanced Visualization and Accessibility to Heterogeneous Monitoring Data , 2014, Comput. Aided Civ. Infrastructure Eng..

[48]  Lin Chen,et al.  Damage Detection Based on Structural Responses Induced by Traffic Load: Methodology and Application , 2016 .

[49]  Markus König,et al.  Low-cost virtual reality environment for engineering and construction , 2015 .

[50]  K. Balaji Rao,et al.  A Refined Methodology for Durability‐Based Service Life Estimation of Reinforced Concrete Structural Elements Considering Fuzzy and Random Uncertainties , 2012, Comput. Aided Civ. Infrastructure Eng..

[51]  Phil Collier,et al.  Achieving user-centric structural health monitoring: an integrated development approach , 2016 .

[52]  Dan M. Frangopol,et al.  Risk-Based Maintenance Optimization of Deteriorating Bridges , 2015 .

[53]  Christopher Higgins,et al.  BridgeDex : Proposed Web GIS Platform for Managing and Interrogating Multiyear and Multiscale Bridge-Inspection Images , 2017 .

[54]  Gabriel J. Power,et al.  Flexible decision analysis procedures for optimizing the sustainability of ageing infrastructure under climate change , 2020 .

[55]  Tara L. Cavalline,et al.  Multivariable Proportional Hazards-Based Probabilistic Model for Bridge Deterioration Forecasting , 2020 .

[56]  H. Chong,et al.  Sustainability perceptions of off-site manufacturing stakeholders in Australia , 2019, Journal of Cleaner Production.

[57]  Fanis Moschas,et al.  Dynamic Deflections of a Stiff Footbridge Using 100-Hz GNSS and Accelerometer Data , 2015 .

[58]  Xiangyu Wang,et al.  Traffic Volume Prediction With Segment-Based Regression Kriging and its Implementation in Assessing the Impact of Heavy Vehicles , 2019, IEEE Transactions on Intelligent Transportation Systems.

[59]  Fei Dai,et al.  Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure , 2013 .

[60]  Nabeel Khwaja,et al.  Civil Integrated Management for Highway Infrastructure: Case Studies and Lessons Learned , 2016 .

[61]  Dan M. Frangopol,et al.  Optimizing Bridge Network Maintenance Management under Uncertainty with Conflicting Criteria: Life-Cycle Maintenance, Failure, and User Costs , 2006 .

[62]  Abu DabousSaleh,et al.  Managing bridge infrastructure under budget constraints: a decision support methodology , 2011 .

[63]  Hyun-Ho Choi,et al.  Safety Assessment Using Imprecise Reliability for Corrosion‐Damaged Structures , 2009, Comput. Aided Civ. Infrastructure Eng..

[64]  Mo Shing Cheung,et al.  Life cycle cost management of concrete structures relative to chloride-induced reinforcement corrosion , 2010 .

[65]  Jack Chin Pang Cheng,et al.  An integrated BIM-GIS framework for utility information management and analyses , 2015 .

[66]  Dan M. Frangopol,et al.  Critical issues, condition assessment and monitoring of heavy movable structures: emphasis on movable bridges , 2014, Structures and Infrastructure Systems.

[67]  Hoon Sohn,et al.  A NoSQL data management infrastructure for bridge monitoring , 2016 .

[68]  Tarek Zayed,et al.  GPR-Based Fuzzy Model for Bridge Deck Corrosiveness Index , 2016 .

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

[70]  Solomon Tesfamariam,et al.  Management of Civil Infrastructure Systems: QFD-Based Approach , 2014 .

[71]  Chang-Su Shim,et al.  Development of a bridge maintenance system for prestressed concrete bridges using 3D digital twin model , 2019, Structure and Infrastructure Engineering.

[72]  Dan M. Frangopol,et al.  Application of the statistics of extremes to the reliability assessment and performance prediction of monitored highway bridges , 2011, Structures and Infrastructure Systems.

[73]  Hung Manh La,et al.  Data analysis and visualization for the bridge deck inspection and evaluation robotic system , 2015 .

[74]  Hoon Sohn,et al.  An information modeling framework for bridge monitoring , 2017, Adv. Eng. Softw..

[75]  Stefan Hurlebaus,et al.  Systematic Assessment of Nondestructive Evaluation Techniques for Post-Tensioning and Stay Cable Systems , 2019, Journal of Infrastructure Systems.

[76]  Peng Wang,et al.  Integration of BIM and GIS: Geometry from IFC to shapefile using open-source technology , 2019, Automation in Construction.

[77]  Sergej Muhic,et al.  SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition , 2018, Automation in Construction.

[78]  Dan M. Frangopol,et al.  Efficient multi-objective optimisation of probabilistic service life management , 2017 .

[79]  R. Hajdin,et al.  Methodology for determination of financial needs of gradually deteriorating bridges with only structure level data , 2011 .

[80]  Shuhei Hiasa,et al.  A data processing methodology for infrared thermography images of concrete bridges , 2017 .

[81]  Mohammadreza Yadollahi,et al.  Post-Pareto optimality approach to enhance budget allocation process for bridge rehabilitation management , 2015 .

[82]  Dan M. Frangopol,et al.  Probabilistic Lifetime-Oriented Multiobjective Optimization of Bridge Maintenance: Combination of Maintenance Types , 2006 .

[83]  Kypros Pilakoutas,et al.  Modeling for assessment of long-term behavior of prestressed concrete box-girder bridges , 2018 .

[84]  Qing Zhu,et al.  Updating Multiscale Model of a Long-Span Cable-Stayed Bridge , 2018 .

[85]  Xiangyu Wang,et al.  A critical review of the use of 3-D printing in the construction industry , 2016 .

[86]  Robert John Lark,et al.  BIM for infrastructure: An overall review and constructor perspective , 2016 .

[87]  K. Maekawa,et al.  Computational Life Assessment of ASR-damaged RC Decks by Site-Inspection Data Assimilation , 2018 .

[88]  Guang-Dong Zhou,et al.  Optimal wireless sensor network configuration for structural monitoring using automatic-learning firefly algorithm , 2018, Advances in Structural Engineering.

[89]  Joaquim Figueiras,et al.  Rehabilitation and condition assessment of a centenary steel truss bridge , 2013 .

[90]  Hong Guan,et al.  Development of hybrid optimisation method for Artificial Intelligence based bridge deterioration model — Feasibility study , 2013 .

[91]  Hyun-Jun Park,et al.  Smart wireless sensing and assessment for civil infrastructure , 2014 .

[92]  Jack A. Puleo,et al.  Near Real-Time Scour Monitoring System: Application to Indian River Inlet, Delaware , 2011 .

[93]  Mehmet E. Ozbek,et al.  Using Expert Opinion to Quantify Uncertainty in and Cost of Using Nondestructive Evaluation on Bridges , 2017 .

[94]  Dan M. Frangopol,et al.  Bridge network performance, maintenance and optimisation under uncertainty: accomplishments and challenges , 2012, Structures and Infrastructure Systems.

[95]  Dan M. Frangopol,et al.  Two probabilistic life-cycle maintenance models for deteriorating civil infrastructures , 2004 .

[96]  Hao Tian,et al.  Probabilistic-based prediction of lifetime performance of RC bridges subject to maintenance interventions , 2016 .

[97]  Dan M. Frangopol,et al.  Optimal bridge maintenance planning based on probabilistic performance prediction , 2004 .

[98]  Maria Q. Feng,et al.  Output‐only damage detection using vehicle‐induced displacement response and mode shape curvature index , 2016 .

[99]  Jinping Ou,et al.  Structural Health Monitoring and Model Updating of Aizhai Suspension Bridge , 2017 .

[100]  Dan M. Frangopol,et al.  Generalized Probabilistic Framework for Optimum Inspection and Maintenance Planning , 2013 .

[101]  Zhen Sun Eng.,et al.  Jiangyin Bridge: An Example of Integrating Structural Health Monitoring with Bridge Maintenance , 2018 .

[102]  R. Cole,et al.  Structural health monitoring of the Tamar suspension bridge , 2013 .

[103]  Hui Li,et al.  Scour Depth Determination of Bridge Piers Based on Time-Varying Modal Parameters: Application to Hangzhou Bay Bridge , 2017 .

[104]  Wonsuk Park,et al.  Finite Element Model Updating for a Cable-Stayed Bridge Using Manual Tuning and Sensitivity-Based Optimization , 2012 .

[105]  Elsa Garavaglia,et al.  The use of a credibility index in the life-cycle assessment of structures , 2015 .

[106]  Ian F. C. Smith,et al.  Multimodel Structural Performance Monitoring , 2010 .

[107]  Youliang Ding,et al.  Thermal field characteristic analysis of steel box girder based on long-term measurement data , 2012 .

[108]  Leo Klatter,et al.  A holistic approach to asset management in the Netherlands , 2013 .

[109]  Elsa Garavaglia,et al.  Selective maintenance planning of a steel truss bridge based on the Markovian approach , 2016 .

[110]  Zdeněk Kala,et al.  Global sensitivity analysis of reliability of structural bridge system , 2019, Engineering Structures.

[111]  Dan M. Frangopol,et al.  Optimum maintenance strategy for deteriorating bridge structures based on lifetime functions , 2006 .

[112]  Dan M. Frangopol,et al.  Lifetime-oriented multi-objective optimization of structural maintenance considering system reliability, redundancy and life-cycle cost using GA , 2009 .

[113]  Hua Chen,et al.  Reliable Dynamic Monitoring of Bridges with Integrated GPS and BeiDou , 2018, Journal of Surveying Engineering.

[114]  Hugh Hawk,et al.  The BRIDGIT Bridge Management System , 1998 .

[115]  Amir Manafpour,et al.  Stochastic Analysis and Time-Based Modeling of Concrete Bridge Deck Deterioration , 2018, Journal of Bridge Engineering.

[116]  Dan M. Frangopol,et al.  Novel Approach for Multicriteria Optimization of Life-Cycle Preventive and Essential Maintenance of Deteriorating Structures , 2010 .

[117]  Xiangyu Wang,et al.  Automatically Processing IFC Clipping Representation for BIM and GIS Integration at the Process Level , 2020 .

[118]  Glauco Feltrin,et al.  Long-term monitoring of cable stays with a wireless sensor network , 2010 .

[119]  Hui Li,et al.  Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring , 2014, Comput. Aided Civ. Infrastructure Eng..

[120]  Chin-Teng Lin,et al.  Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach , 2020 .

[121]  Dan M. Frangopol,et al.  A probabilistic computational framework for bridge network optimal maintenance scheduling , 2011, Reliab. Eng. Syst. Saf..

[122]  Ling Yu,et al.  Sparse regularization-based damage detection in a bridge subjected to unknown moving forces , 2019, Journal of Civil Structural Health Monitoring.

[123]  Boris A. Zárate,et al.  Deterministic and probabilistic fatigue prognosis of cracked specimens using acoustic emissions , 2012 .

[124]  Tarek Zayed,et al.  Rational Condition Assessment of RC Bridge Decks Subjected to Corrosion-Induced Delamination , 2018 .

[125]  Neil A. Hoult,et al.  Long-Term Wireless Structural Health Monitoring of the Ferriby Road Bridge , 2010 .

[126]  Ayaho Miyamoto,et al.  Development and Practical Application of a Lifetime Management System for Prestressed Concrete Bridges , 2017 .

[127]  Shuhei Hiasa,et al.  Practical identification of favorable time windows for infrared thermography for concrete bridge evaluation , 2015 .

[128]  Markus König,et al.  Achievements and Challenges in Machine Vision-Based Inspection of Large Concrete Structures , 2014 .

[129]  Chimay J. Anumba,et al.  Mapping between BIM and 3D GIS in different levels of detail using schema mediation and instance comparison , 2016 .

[130]  Hoon Sohn,et al.  A scalable cloud-based cyberinfrastructure platform for bridge monitoring , 2019, Structure and Infrastructure Engineering.

[131]  Dan M. Frangopol,et al.  Condition-Based Multiobjective Maintenance Decision Making for Highway Bridges Considering Risk Perceptions , 2020 .

[132]  Scott S. Washburn,et al.  Probabilistic Modeling of Single and Concurrent Truckloads on Bridges , 2017 .

[133]  Shengli Li,et al.  A novel acoustic emission monitoring method of cross‐section precise localization of defects and wire breaking of parallel wire bundle , 2019, Structural Control and Health Monitoring.

[134]  Changqin Liu,et al.  Maintenance Strategy Optimization of Bridge Decks Using Genetic Algorithm , 1997 .

[135]  Duzgun Agdas,et al.  Comparison of visual inspection and structural-health monitoring as bridge condition assessment methods , 2016 .

[136]  Tarek Zayed,et al.  Budget Allocation for Steel Bridge Paint Maintenance , 2004 .

[137]  Nora El-Gohary,et al.  Ontology-based semi-supervised conditional random fields for automated information extraction from bridge inspection reports , 2017 .

[138]  Yichang Tsai,et al.  CONSTRAINED FUZZY C-MEAN CLUSTERING ALGORITHM FOR DETERMINING BRIDGE LET PROJECTS , 2004 .

[139]  Luke J. Prendergast,et al.  A framework for assessing the value of information for health monitoring of scoured bridges , 2020 .

[140]  Ayaho Miyamoto,et al.  Application of J-BMS to Performance Evaluation and Remaining Life Prediction of an Existing RC Bridge , 2018 .

[141]  Jian Li,et al.  Statistical Analysis of Modal Properties of a Cable-Stayed Bridge through Long-Term Wireless Structural Health Monitoring , 2017 .

[142]  N. Lakshmanan,et al.  Fuzzy Logic Based Condition Rating of Existing Reinforced Concrete Bridges , 2006 .

[143]  Dan M. Frangopol,et al.  Life-cycle reliability-based maintenance cost optimization of deteriorating structures with emphasis on bridges , 2003 .

[144]  Xiangyu Wang,et al.  Practical algorithm for stochastic optimal control problem about microbial fermentation in batch culture , 2019, Optim. Lett..

[145]  Dan M. Frangopol,et al.  Cost-Effective Lifetime Structural Health Monitoring Based on Availability , 2011 .

[146]  Mani Golparvar-Fard,et al.  Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works , 2016 .

[147]  Paul D Thompson.  Estimating Asset Deterioration and Life Expectancy by Using Levels of Service , 2012 .

[148]  Carmelo Gentile,et al.  Automated modal identification in operational conditions and its application to bridges , 2013 .

[149]  Andrew T. Brint,et al.  Comparing Probabilistic Methods for the Asset Management of Distributed Items , 2005 .

[150]  Ting-Hua Yi,et al.  Sensor Fault Diagnosis for Structural Health Monitoring Based on Statistical Hypothesis Test and Missing Variable Approach , 2017 .

[151]  Jun Wang,et al.  Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments , 2016 .

[152]  Richard J. Dobson,et al.  Evaluation of Commercially Available Remote Sensors for Highway Bridge Condition Assessment , 2012 .

[153]  Robert E. Melchers,et al.  RELIABILITY OF DETERIORATING RC SLAB BRIDGES , 1997 .

[154]  Dan M. Frangopol,et al.  Connectivity-Based Optimal Scheduling for Maintenance of Bridge Networks , 2013 .

[156]  Ali Khaloo,et al.  Unmanned aerial vehicle inspection of the Placer River Trail Bridge through image-based 3D modelling , 2018 .

[157]  Antônio Márcio Tavares Thomé,et al.  Sustainable infrastructure: A review and a research agenda. , 2016, Journal of environmental management.

[158]  Dan M. Frangopol,et al.  Life cycle utility-informed maintenance planning based on lifetime functions: optimum balancing of cost, failure consequences and performance benefit , 2016 .

[159]  Dan M. Frangopol,et al.  Effective optimum maintenance planning with updating based on inspection information for fatigue-sensitive structures , 2019, Probabilistic Engineering Mechanics.

[160]  Nenad Gucunski,et al.  Delamination and concrete quality assessment of concrete bridge decks using a fully autonomous RABIT platform , 2015 .

[161]  Filipe Magalhães,et al.  Automated identification of the modal parameters of a cable-stayed bridge: Influence of the wind conditions , 2016 .

[162]  Matthew Wilson,et al.  Predicting the probability of failure of timber bridges using fault tree analysis , 2019 .

[163]  Therese P. McAllister,et al.  Risk-Based Decision Making for Sustainable and Resilient Infrastructure Systems , 2016 .

[164]  Jinyoung Kim,et al.  Performance of Concrete Bridge Decks of Similar Construction and Environment, but Different Traffic Loads , 2016 .

[165]  Dan M. Frangopol,et al.  Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost* , 2007 .

[166]  Gul Agha,et al.  Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation , 2010 .

[167]  D. Frangopol,et al.  Probabilistic life-cycle optimization of durability-enhancing maintenance actions: Application to FRP strengthening planning , 2019, Engineering Structures.

[168]  Edmundas Kazimieras Zavadskas,et al.  Multiple criteria decision-making techniques in transportation systems: a systematic review of the state of the art literature , 2015 .

[169]  Harald Budelmann,et al.  Non-destructive measurement toolkit for corrosion monitoring and fracture detection of bridge tendons , 2014 .

[170]  Dan M. Frangopol,et al.  Optimization of bridge maintenance strategies based on structural health monitoring information , 2011 .

[171]  Toula Onoufriou,et al.  Numerical evaluation of multi-metric data fusion based structural health monitoring of long span bridge structures , 2018 .

[172]  Dan Su,et al.  Impact of Overweight Trucks on the Service Life of Bridge Girders , 2017 .

[173]  David V. Jáuregui,et al.  Documentation of bridge inspection projects using virtual reality approach , 2005 .

[174]  Ying-Hua Huang,et al.  Artificial Neural Network Model of Bridge Deterioration , 2010 .

[175]  Campbell R. Middleton,et al.  Analysis of structural health monitoring data from Hammersmith Flyover , 2014 .

[176]  Dinesh Rajan,et al.  Bridge frequency estimation strategies using smartphones , 2020, Journal of Civil Structural Health Monitoring.

[177]  Sherif Beskhyroun,et al.  Investigation on dynamic behaviour of a full-scale reinforced concrete bridge subjected to strong earthquakes using an automated analysis platform , 2019, Structure and Infrastructure Engineering.

[178]  Ulas Bagci,et al.  Artificial Intelligence Assisted Infrastructure Assessment using Mixed Reality Systems , 2018, ArXiv.

[179]  Grahme Williams,et al.  Fatigue of Diagonally Cracked RC Girders Repaired with CFRP , 2008 .

[180]  Kaoshan Dai,et al.  Laser-Based Field Measurement for a Bridge Finite-Element Model Validation , 2014 .

[181]  Mario Tena Structure,et al.  Calibration of the Ageing Process of Masonry Bridges Based on Field Inspections and Construction Quality , 2018 .

[182]  Michael Theiler,et al.  On‐board data synchronization in wireless structural health monitoring systems based on phase locking , 2018, Structural Control and Health Monitoring.

[183]  Branko Glisic,et al.  Value of information: impact of monitoring on decision‐making , 2014 .

[184]  Haotian Liu,et al.  Adaptive optimisation methods in system-level bridge management , 2015 .

[185]  Hsiao Hui Hung,et al.  Integration of in-situ load experiments and numerical modeling in a long-term bridge monitoring system on a newly-constructed widened section of freeway in Taiwan , 2014 .

[186]  Alain Nussbaumer,et al.  Assessment of existing steel structures. A guideline for estimation of the remaining fatigue life , 2007 .

[187]  Hiroshi Hattori,et al.  Image-Based Monitoring of Open Gears of Movable Bridges for Condition Assessment and Maintenance Decision Making , 2015 .

[188]  Georgios E. Stavroulakis,et al.  Parameter identification for damaged condition investigation on masonry arch bridges using a Bayesian approach , 2018, Engineering Structures.

[189]  Sunyong Kim,et al.  Multi-objective probabilistic optimum monitoring planning considering fatigue damage detection, maintenance, reliability, service life and cost , 2017 .

[190]  Dan M. Frangopol,et al.  Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost , 2014 .

[191]  Hui Li,et al.  Optimal policy for structure maintenance: A deep reinforcement learning framework , 2020 .

[192]  Maria Q. Feng,et al.  Modeling of Traffic Excitation for System Identification of Bridge Structures , 2006, Comput. Aided Civ. Infrastructure Eng..

[193]  Ayaho Miyamoto,et al.  Bridge Management System and Maintenance Optimization for Existing Bridges , 2000 .

[194]  Dan M. Frangopol,et al.  Use of Lifetime Functions in the Optimization of Nondestructive Inspection Strategies for Bridges , 2011 .

[195]  Dan M. Frangopol,et al.  Optimal Risk-Based Management of Coastal Bridges Vulnerable to Hurricanes , 2017 .

[196]  Dan M. Frangopol,et al.  Sustainability-informed maintenance optimization of highway bridges considering multi-attribute utility and risk attitude , 2015 .

[197]  Xiangyu Wang,et al.  Hamiltonian analysis of a hydro-energy generation system in the transient of sudden load increasing , 2017 .

[198]  H. Ping Tserng,et al.  Maintenance Strategy for Bridge Components on the Basis of Performance , 2009 .

[199]  Ivan Bartoli,et al.  Novel optico-acoustic nondestructive testing for wire break detection in cables , 2013 .

[200]  Simon Laflamme,et al.  Adaptive wavelet neural network for terrestrial laser scanner-based crack detection , 2018, Automation in Construction.

[201]  Tarek Zayed,et al.  Defect-Based Condition Assessment of Concrete Bridges , 2014 .

[202]  Jim Cox,et al.  Risk-Based Benefit–Cost Analysis of Information Technology Tools for Program Management , 2012 .

[203]  Chief Specialist Jan Winkler Dr,et al.  Innovative Long-Term Monitoring of the Great Belt Bridge Expansion Joint Using Digital Image Correlation , 2018 .

[204]  Ratneshwar Jha,et al.  Real-time wireless vibration monitoring for operational modal analysis of an integral abutment highway bridge , 2009 .

[205]  Yisen Guo,et al.  New Model for Estimating the Time-Variant Seismic Performance of Corroding RC Bridge Columns , 2015 .

[206]  Thomas Schumacher,et al.  Data Mining of Bridge Concrete Deck Parameters in the National Bridge Inventory by Two-Step Cluster Analysis , 2017 .

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

[208]  Tarek Hegazy,et al.  Comparison of Two Evolutionary Algorithms for Optimization of Bridge Deck Repairs , 2006, Comput. Aided Civ. Infrastructure Eng..

[209]  Alireza Rahai,et al.  Reliability assessment of concrete bridges subject to corrosion-induced cracks during life cycle using artificial neural networks , 2013 .

[210]  Christian Boller,et al.  Approaching the assessment of ageing bridge infrastructure , 2015 .

[211]  Bernardino Chiaia,et al.  Customised active monitoring system for structural control and maintenance optimisation , 2020 .

[212]  Dan M. Frangopol,et al.  Evaluation of Expected Life-Cycle Maintenance Cost of Deteriorating Structures , 2003 .

[213]  Meng-Han Tsai,et al.  A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering , 2014 .

[214]  David Lee,et al.  Building information modeling utilization for optimizing milling quantity and hot mix asphalt pavement overlay quality , 2016 .

[215]  Seung-Hyun Lee,et al.  Pareto front generation for bridge deck management system using bi-objective optimization , 2017 .

[216]  Solomon Tesfamariam,et al.  A review of multi-criteria decision-making methods for infrastructure management , 2014 .

[217]  Belén Riveiro,et al.  Automated processing of large point clouds for structural health monitoring of masonry arch bridges , 2016 .