Roadmap on measurement technologies for next generation structural health monitoring systems

Roadmap on measurement technologies for next generation structural health monitoring systems Simon Laflamme http://orcid.org/0000-0002-0601-9664 Filippo Ubertini http://orcid.org/0000-0002-5044-8482 Alberto Di Matteo Antonina Pirrotta Marcus Perry http://orcid.org/0000-0001-9173-8198 Yuguang Fu Jian Li http://orcid.org/0000-0003-3439-7539 Hao Wang http://orcid.org/0000-0002-1187-0824 Tu Hoang Branko Glisic http://orcid.org/0000-0002-1852-5310 Leonard J Bond http://orcid.org/0000-0002-1365-7592 Mauricio Pereira http://orcid.org/0000-0001-8853-5170 Yening Shu Kenneth J Loh http://orcid.org/0000-0003-1448-6251 Yang Wang Siqi Ding http://orcid.org/0000-0002-7565-4549 Xinyue Wang Xun Yu Baoguo Han http://orcid.org/0000-0002-7081-3221 Yiska Goldfeld http://orcid.org/0000-0003-4094-376X Donghyeon Ryu http://orcid.org/0000-0002-1753-2295 Rebecca Napolitano Fernando Moreu http://orcid.org/0000-0002-7105-7843 Giorgia Giardina http://orcid.org/0000-0002-5996-5830 Pietro Milillo http://orcid.org/0000-0002-1171-3976 Abstract

Structural health monitoring (SHM) is the automation of the condition assessment process of an engineered system. When applied to geometrically large components or structures, such as those found in civil and aerospace infrastructure and systems, a critical challenge is in designing the sensing solution that could yield actionable information. This is a difficult task to conduct cost-effectively, because of the large surfaces under consideration and the localized nature of typical defects and damages. There have been significant research efforts in empowering conventional measurement technologies for applications to SHM in order to improve performance of the condition assessment process. Yet, the field implementation of these SHM solutions is still in its infancy, attributable to various economic and technical challenges. The objective of this Roadmap publication is to discuss modern measurement technologies that were developed for SHM purposes, along with their associated challenges and opportunities, and to provide a path to research and development efforts that could yield impactful field applications. The Roadmap is organized into four sections: distributed embedded sensing systems, distributed surface sensing systems, multifunctional materials, and remote sensing. Recognizing that many measurement technologies may overlap between sections, we define distributed sensing solutions as those that involve or imply the utilization of numbers of sensors geometrically organized within (embedded) or over (surface) the monitored component or system. Multi-functional materials are sensing solutions that combine multiple capabilities, for example those also serving structural functions. Remote sensing are solutions that are contactless, for example cell phones, drones, and satellites. It also includes the notion of remotely controlled robots.
06 09 2023 09 01 2023 093001 http://dx.doi.org/10.1088/crossmark-policy iopscience.iop.org Roadmap on measurement technologies for next generation structural health monitoring systems Measurement Science and Technology paper © 2023 The Author(s). Published by IOP Publishing Ltd 2022-08-09 2023-04-28 2023-06-09 http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining 10.1088/1361-6501/acd135 https://iopscience.iop.org/article/10.1088/1361-6501/acd135 https://iopscience.iop.org/article/10.1088/1361-6501/acd135/pdf https://iopscience.iop.org/article/10.1088/1361-6501/acd135/pdf https://iopscience.iop.org/article/10.1088/1361-6501/acd135/pdf https://iopscience.iop.org/article/10.1088/1361-6501/acd135/pdf https://iopscience.iop.org/article/10.1088/1361-6501/acd135 https://iopscience.iop.org/article/10.1088/1361-6501/acd135/pdf https://iopscience.iop.org/article/10.1088/1361-6501/acd135 https://iopscience.iop.org/article/10.1088/1361-6501/acd135/pdf Measures 2001 Glisic 2007 Opt. Laser Technol. Motil 10.1016/j.optlastec.2015.09.013 78 81 2016 State of the art of Brillouin fiber-optic distributed sensing Méndez 179 2013 Overview of fiber optic sensors for NDT applications Sensors Wu 10.3390/s20164517 20 4517 2020 Recent progress of fiber-optic sensors for the structural health monitoring of civil infra-structure Proc. SPIE Inaudi 10.1117/12.661086 6167 2006 Integration of distributed strain and temperature sensors in composite coiled tubing Sensors Glisic 10.3390/s22062397 22 2397 2022 Concise historic overview of strain sensors used in the monitoring of civil structures: the first one hundred years J. Lightwave Technol. Xiong 10.1109/JLT.2018.2883817 37 917 2019 Investigation of the temperature compensation of FBGs encapsulated with different methods and subjected to different temperature change rates Opt. Fiber Technol. Wang 10.1016/j.yofte.2021.102506 63 2021 Improved temperature compensation of fiber Bragg grating-based sensors applied to structures under different loading conditions Sensors Jeon 10.3390/s22093282 22 3282 2022 Temperature compensation of fiber Bragg grating sensors in smart strand Opt. Express Bao 10.1364/OE.398794 28 26461 2020 Selective fiber Bragg grating inscription in four-core fiber for two-dimension vector bending sensing Sci. Rep. Flores-Bravo 10.1038/s41598-022-05313-9 12 1280 2022 Coupled-core fiber Bragg gratings for low-cost sensing J. Lightwave Technol. Maraval 10.1109/JLT.2016.2614835 35 3296 2017 Dynamic optical fiber sensing with Brillouin optical time domain reflectometry: application to pipeline vibration monitoring Light Sci. Appl. Zhou 10.1038/s41377-018-0030-0 7 32 2018 Single-shot BOTDA based on an optical chirp chain probe wave for distributed ultrafast measurement Sensors Zhang 10.3390/s20236947 20 6947 2020 Structural crack detection using DPP-BOTDA and crack-induced features of the Brillouin gain spectrum Song 2006 10.1364/OFS.2006.ThC2 Distributed strain measurement with millimeter-order spatial resolution based on Brillouin optical correlation domain analysis and beat lock-in detection scheme IEEE Photonics Technol. Lett. Lu 10.1109/LPT.2013.2254709 25 1050 2013 Distributed strain and temperature measurement by Brillouin beat spectrum Adv. Devices Instrum. Bao 10.34133/2021/8696571 2021 2021 Recent advancements in Rayleigh scattering-based distributed fiber sensors Sens. Actuators A Rinaudo 10.1016/j.sna.2016.03.022 243 167 2016 Experimental and analytical evaluation of the response time of high temperature fiber optic sensors Sensors Fan 10.3390/s18113722 18 3722 2018 Feasibility of distributed fiber optic sensor for corrosion monitoring of steel bars in reinforced concrete Graff 1975 Wave motion in elastic solids J. Res. NIST Eitzen 10.6028/jres.089.008 89 75 1984 Acoustic emission: establishing the fundamentals Sause 611 2016 Acoustic emission—parameters of influence (Appendix A & C) Pollock vol 17 360 2018 Acoustic emission inspection Gorman ch 4 79 2009 Acoustic emission in structural health monitoring (SHM) Appl. Sci. Brunner 10.3390/app112411648 11 2021 Structural health and condition monitoring with acoustic emission and guided ultrasonic waves: what about long-term durability of sensors, sensor coupling and measurement chain? Vibration Mustahpa 10.3390/vibration4030033 4 551 2021 Sensor networks for structural health monitoring, placement, implementations and challenges—a review Friesel vol 11 725 1992 Acoustic emission applications on the NASA space station Hutton 1993 Sensors Tonelli 10.3390/s20247272 20 7272 2020 Structural health monitoring based on acoustic emissions: validation on a prestressed concrete bridge tested to failure Appl. Sci. Ozevin 10.3390/app10248966 10 8966 2020 MEMS acoustic emission sensors Sensors Willberry 10.3390/s20216369 20 6369 2020 Structural health monitoring using fiber optic acoustic emission sensors Sensors Rizzo 10.3390/s21134336 21 4336 2021 Challenges in bridge health monitoring: a review ASME J. Manuf. Sci. Eng. Taheri 10.1115/1.4042786 141 2019 In-situ additive manufacturing process monitoring with acoustic technique: clustering performance evaluation using K-means algorithm Staszewski vol 1 117 2004 Structural health monitoring using guided ultrasonic waves Sensors Olisa 10.3390/s21030811 21 811 2021 Review of current guided wave ultrasonic testing (GWUT) limitations and future directions Bond 177 2022 From nondestructive testing to prognostics: revisited Int. J. Progn. Health Manage. Coble 10.36001/ijphm.2015.v6i3.2271 6 16 2015 A review of prognostics and health management applications in nuclear power plants Bond vol 17 p 185 2018 Ultrasonic transduction (transducer elements) Farrar 2013 J. Civ. Struct. Health Monit. Kumar 10.1007/s13349-021-00498-5 11 1055 2021 Detecting, localizing, and quantifying damage using two-dimensional sensing sheet: lab test and field application Shock Vibr. Dig. Lynch 10.1177/0583102406061499 38 91 2006 A summary review of wireless sensors and sensor networks for structural health monitoring Proc. IEEE Lee 10.1109/JPROC.2016.2547946 104 1529 2016 Ultralow power circuit design for wireless sensor nodes for structural health monitoring IEEE Commun. Surv. Tutor. Noel 10.1109/COMST.2017.2691551 19 1403 2017 Structural health monitoring using wireless sensor networks: a comprehensive survey Sensors Zhang 10.3390/s17020265 17 265 2017 A review of passive RFID tag antenna-based sensors and systems for structural health monitoring applications Insight Alamin 10.1784/insi.2012.54.2.72 54 72 2012 Corrosion detection using low-frequency RFID technology Sens. Actuators A Cazeca 10.1016/j.sna.2012.11.007 190 197 2013 Passive wireless displacement sensor based on RFID technology MDPI Sens. Donelli 10.3390/s18124485 18 4485 2018 An RFID-based sensor for masonry crack monitoring Manzari 121 2014 A passive temperature radio-sensor for concrete maturation monitoring IEEE Sens. J. Amin 10.1109/JSEN.2013.2278560 14 140 2013 Development of a low cost printable chipless RFID humidity sensor Ahmad 9055 2020 On measuring Doppler shifts between tags in a backscattering tag-to-tag network with applications in tracking Ryoo 2018 10.1145/3210240.3210336 BARNET: towards activity recognition using passive backscattering tag-to-tag network IEEE J. Sel. Top. Signal Process. Geng 10.1109/JSTSP.2013.2286972 8 96 2013 Indoor tracking with RFID system IEEE Internet Things J. Shen 10.1109/JIOT.2016.2533398 3 959 2016 Phase cancellation in backscatter-based tag-to-tag communication systems Karimi 2019 10.1109/ISCAS.2019.8702681 Passive wireless channel estimation in RF tag network IEEE Trans. Very Large Scale Integr. (VLSI) Syst. Wan 10.1109/TVLSI.2019.2894531 43 119 2019 AC computing methodology for RF-powered IoT devices Commun. Pure Appl. Math. Candes 10.1002/cpa.20124 59 1207 2006 Stable signal recovery from incomplete and inaccurate measurements 2022 MuZero’s first step from research into the real world IEEE Trans. Biomed. Circuits Syst. Khalifa 10.1109/TBCAS.2018.2802443 12 521 2018 The microbead: a highly miniaturized wirelessly powered implantable neural stimulating system Future Gener. Comput. Syst. Alavi 10.1016/j.future.2018.10.059 93 651 2019 An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring Road Transp. Res. A Byrne 22 39 2013 Identifying road defect information from smartphones Proc. VLDB Endow. Kotsakos 10.14778/2536274.2536296 6 1282 2013 Smart monitor: using smart devices to perform structural health monitoring J. Civ. Struct. Health Monit. Zhao 10.1007/s13349-015-0132-9 5 481 2015 Portable and convenient cable force measurement using smartphone Int. J. Distrib. Sens. Netw. Yu 10.1155/2015/274391 2015 2015 Initial validation of mobile structural health monitoring method using smartphones Seismol. Res. Lett. Kong 10.1785/0220170111 89 594 2018 Structural health monitoring of buildings using smartphone sensors Struct. Control Health Monit. Sony 10.1002/stc.2321 26 e2321 2019 A literature review of next‐generation smart sensing technology in structural health monitoring J. Build. Eng. Mishra 10.1016/j.jobe.2021.103954 48 2022 Structural health monitoring of civil engineering structures by using the internet of things a review IEEE Sens. J. Wang 10.1109/JSEN.2018.2828139 18 4664 2018 Structural displacement monitoring using smartphone camera and digital image correlation Meas. Sci. Technol. Ozer 10.1088/1361-6501/aa82ac 28 2017 Hybrid motion sensing and experimental modal analysis using collocated smartphone camera and accelerometer J. Bridge Eng. Zhao 10.1061/(ASCE)BE.1943-5592.0001011 22 2017 Smartphone-based mobile testing technique for quick bridge cable-force measurement J. Struct. Eng. Shrestha 10.1061/(ASCE)ST.1943-541X.0002513 146 2020 Smartphone-based bridge seismic monitoring system and long-term field application tests Proc. IEEE Matarazzo 10.1109/JPROC.2018.2808759 106 577 2018 Crowdsensing framework for monitoring bridge vibrations using moving smartphones Sensors Zhu 10.3390/s18010262 18 262 2018 Development of a high-sensitivity wireless accelerometer for structural health monitoring J. Eng. Mech. Matarazzo 142 2016 10.1061/(ASCE)EM.1943-7889.0001046 Structural identification for mobile sensing with missing observations Smart Mater. Struct. Ozer 10.1088/1361-665X/aa6298 26 2017 Direction-sensitive smart monitoring of structures using heterogeneous smartphone sensor data and coordinate system transformation Comput.-Aided Civ. Infrastruct. Eng. Matarazzo 10.1111/mice.12298 33 4 2017 Scalable structural modal identification using dynamic sensor network data with STRIDEX J. Sound Vib. Gonzalez 10.1016/j.jsv.2012.04.019 331 4115 2012 Identification of damping in a bridge using a moving instrumented vehicle Eng. Struct. Yang 10.1016/j.engstruct.2009.06.001 31 2448 2009 Extracting the bridge frequencies indirectly from a passing vehicle: parametric study J. Civ. Struct. Health Monit. Di Matteo 10.1007/s13349-022-00593-1 12 1329 2022 Smartphone-based bridge monitoring through vehicle–bridge interaction: analysis and experimental assessment Alsamahi 2021 Structural health monitoring, damages identification and durability assessment of constructions by sensors and smartphone-based technique Appl. Sci. Fiandaca 10.3390/app122413018 12 2022 An integrated approach for structural health monitoring and damage detection of bridges: an experimental assessment Nagayama 2007 IEEE Commun. Surv. Tutor. Lu 10.1109/COMST.2014.2368999 17 757 2015 Wireless networks with RF energy harvesting: a contemporary survey J. Eng. Mech. Sim. 10.1061/(ASCE)EM.1943-7889.0000199 137 22 2011 Multimetric sensing for structural damage detection Sensors Park 10.3390/s130708377 13 8377 2013 Development of a wireless displacement measurement system using acceleration responses Struct. Infrastruct. Eng. Wang 10.1080/15732470600590820 3 103 2007 A wireless structural health monitoring system with multithreaded sensing devices: design and validation Struct. Control Health Monit. Linderman 10.1002/stc.1514 20 1007 2013 TinyOS‐based real‐time wireless data acquisition framework for structural health monitoring and control Sim 2011 J. Comput. Civ. Eng. Fraser 10.1061/(ASCE)CP.1943-5487.0000005 24 11 2010 Sensor network for structural health monitoring of a highway bridge Struct. Health Monit. Mao 10.1177/1475921720924601 20 1609 2021 Toward data anomaly detection for automated structural health monitoring: exploiting generative adversarial nets and autoencoders Sensors Fu 10.3390/s18124480 18 4480 2018 Sudden event monitoring of civil infrastructure using demand-based wireless smart sensors Smart Mater. Struct. Jeong 10.1088/1361-665X/aaebc6 28 2018 Development of wireless sensor node hardware for large-area capacitive strain monitoring Adv. Struct. Eng. Fu 10.1177/1369433219866093 22 3512 2019 Development and full-scale validation of high-fidelity data acquisition on a next-generation wireless smart sensor platform Hoang 2021 Autonomous wireless smart sensor for monitoring of railroad bridges Struct. Control Health Monit. Li 10.1002/stc.1782 22 470 2016 Efficient time synchronization for structural health monitoring using wireless smart sensor networks Struct. Control Health Monit. Fu 10.1002/stc.2643 28 e2643 2021 Efficient and high-precision time synchronization for wireless monitoring of civil infrastructure subjected to sudden events Smart Struct. Syst. Fu 10.12989/sss.2021.28.4.483 28 483 2021 xShake: intelligent wireless system for cost-effective real-time seismic monitoring of civil infrastructure Struct. Control Health Monit. Long 10.1002/stc.2468 27 e2468 2020 A power optimised and reprogrammable system for smart wireless vibration monitoring IEEE Trans. Instrum. Meas. Gao 10.1109/TIM.2019.2897037 68 4887 2019 Design of multichannel and multihop low-power wide-area network for aircraft vibration monitoring Adv. Bridge Eng. Hoang 10.1186/s43251-020-00014-7 1 1 2020 Autonomous end-to-end wireless monitoring system for railroad bridges Mech. Syst. Signal Process. Jana 10.1016/j.ymssp.2021.108723 169 2022 CNN and convolutional autoencoder (CAE) based real-time sensor fault detection, localization, and correction IEEE Sens. J. Wang 10.1109/JSEN.2018.2865551 18 8676 2018 Mechanical deformation detection of building structures using microstrip patch antennas as sensors Sensors Liu 10.3390/s21217017 21 7017 2021 Soft elastomeric capacitor for angular rotation sensing in steel components Smart Mater. Struct. Downey 10.1088/1361-665X/aa9349 26 2017 Experimental wind tunnel study of a smart sensing skin for condition evaluation of a wind turbine blade Sensors Ahmed 10.3390/s20164383 20 4383 2020 Performance evaluation of a carbon nanotube sensor for fatigue crack monitoring of metal structures Proc. IEEE Glisic 10.1109/JPROC.2016.2573238 104 1513 2016 Strain sensing sheets for structural health monitoring based on large-area electronics and integrated circuits Struct. Health Monit. Wang 10.1177/1475921719850641 20 861 2021 A stretchable and large-scale guided wave sensor network for aircraft smart skin of structural health monitoring Nat. Nanotechnol. Lipomi 10.1038/nnano.2011.184 6 788 2011 Skin- like pressure and strain sensors based on transparent elastic films of carbon nanotubes Adv. Funct. Mater. Amjadi 10.1002/adfm.201504755 26 1678 2016 Stretchable, skin-mountable, and wearable strain sensors and their potential applications: a review Microsyst. Technol. Zhong 10.1007/s00542-018-3969-0 25 339 2019 A study of screen printing of stretchable circuits on polyurethane substrates Sens. Actuators A Downey 10.1016/j.sna.2019.04.022 293 269 2019 Durability and weather ability of a styrene-ethylene-butylene-styrene (SEBS) block copolymer-based sensing skin for civil infrastructure applications Smart Mater. Struct. Kong 10.1088/1361-665X/aadbfb 27 2018 Sensing distortion-induced fatigue cracks in steel bridges with capacitive skin sensor arrays Nanoscale Res. Lett. Venkataraman 10.1186/s11671-019-3046-3 14 1 2019 Carbon nanotube assembly and integration for applications Adv. Mater. Khan 10.1002/adma.201905279 32 2020 A new frontier of printed electronics: flexible hybrid electronics Polymers Saleh Alghamdi 10.3390/polym13050753 13 753 2021 Additive manufacturing of polymer materials: progress, promise and challenges Sens. Actuators A Butler 10.1016/S0924-4247(02)00342-4 102 61 2002 Wireless, passive, resonant-circuit, inductively coupled, inductive strain sensor Smart Mater. Struct. Tan 10.1088/0964-1726/17/2/025015 17 2008 A wireless, passive strain sensor based on the harmonic response of magnetically soft materials Huang 1 2015 Antenna sensors in passive wireless sensing systems Sens. Rev. Merilampi 10.1108/02602281111099062 31 32 2011 Embedded wireless strain sensors based on printed RFID tag IEEE Trans. Antennas Propag. Occhiuzzi 10.1109/TAP.2011.2165517 59 4836 2011 Passive RFID strain-sensor based on meander-line antennas Int. J. Smart Nano Mater. Yi 10.1080/19475411.2010.545450 2 22 2011 Passive wireless smart-skin sensor using RFID-based folded patch antennas Proc. SPIE Yi 10.1117/12.2009233 8694 2013 Design and simulation of a slotted patch antenna sensor for wireless strain sensing Yi 1857 2013 Multi-physics modeling and simulation of a slotted patch antenna for wireless strain sensing Mod. Appl. Sci. Deivasigamani 10.5539/mas.v7n2p57 7 57 2013 A review of passive wireless sensors for structural health monitoring Smart Struct. Syst. Yi 10.12989/sss.2016.18.6.1217 18 1217 2016 Battery-free slotted patch antenna sensor for wireless strain and crack monitoring Li vol 170 39 2017 Patch antenna sensor rosettes for surface strain measurement Sens. J. IEEE Cho 10.1109/JSEN.2016.2567221 16 5725 2016 Passive wireless frequency doubling antenna sensor for strain and crack sensing IET Microw. Antennas Propag. Cook 10.1049/iet-map.2012.0188 6 1536 2012 A passive low-cost inkjet-printed smart skin sensor for structural health monitoring IEEE Trans. Microw. Theory Tech. Krumpholz 10.1109/22.491023 44 555 1996 MRTD: new time-domain schemes based on multiresolution analysis Mater. Des. Yan 10.1016/j.matdes.2013.10.027 55 533 2014 Advanced lightweight 316L stainless steel cellular lattice structures fabricated via selective laser melting Mar. Struct. Crupi 10.1016/j.marstruc.2012.11.002 30 74 2013 Comparison of aluminium sandwiches for lightweight ship structures: honeycomb vs. foam Mater. Des. Zhong 10.1016/j.matdes.2019.108076 181 2019 Mechanical properties of lightweight 316L stainless steel lattice structures fabricated by selective laser melting Tang 1 2016 Design method for conformal lattice-skin structure fabricated by AM technologies Int. J. Comput. Integr. Manuf. Helou 10.1080/0951192X.2017.1407456 31 243 2018 Design, analysis and manufacturing of lattice structures: an overview Addit. Manuf. Dong 10.1016/j.addma.2017.11.004 19 62 2018 Optimizing process parameters of fused deposition modeling by Taguchi method for the fabrication of lattice structures Addit. Manuf. Park 10.1016/j.addma.2014.07.002 1 12 2014 Effective mechanical properties of lattice material fabricated by material extrusion additive manufacturing Int. J. Adv. Manuf. Technol. Echeta 10.1007/s00170-019-04753-4 106 2649 2020 Review of defects in lattice structures manufactured by powder bed fusion Meas. Sci. Technol. Thompson 10.1088/0957-0233/27/7/072001 27 2016 X-ray computed tomography for additive manufacturing: a review Ultrasonics Honarvar 10.1016/j.ultras.2020.106227 108 2020 A review of ultrasonic testing applications in additive manufacturing: defect evaluation, material characterization, and process control Holder 2004 IEEE Sens. J. Loyola 10.1109/JSEN.2013.2253456 13 2357 2013 Spatial sensing using electrical impedance tomography IEEE Trans. Med. Imaging Vauhkonen 10.1109/42.700740 17 285 1998 Tikhonov regularization and prior information in electrical impedance tomography J. Compos. Mater. Baltopoulos 10.1177/0021998312464079 47 3285 2013 Damage identification in carbon fiber reinforced polymer plates using electrical resistance tomography mapping Struct. Health Monit. Gupta 10.1177/1475921719877418 19 1323 2020 Graphene sensing meshes for densely distributed strain field monitoring Adv. Mater. Technol. Lin 10.1002/admt.202000861 6 1 2021 Graphene K-tape meshes for densely distributed human motion monitoring Trans. Inst. Meas. Control Li 10.1177/0142331219845037 41 4035 2019 A novel deep neural network method for electrical impedance tomography Wang 10.1109/ICINIS.2009.26 66 2009 The implementation of FEM and RBF neural network in EIT IEEE Trans. Magn. Dyck 10.1109/20.312672 30 3415 1994 A method of computing the sensitivity of electromagnetic quantities to changes in materials and sources Zhu 471 2017 Research and implementation of SVD in machine learning Struct. Health Monit. Loyola 10.1177/1475921713479642 12 225 2013 Detection of spatially distributed damage in fiber-reinforced polymer composites Sensors Shu 10.3390/s22239167 22 9167 2022 Multi-defect detection in additively manufactured lattice structures using 3D electrical resistance tomography Smart Mater. Struct. Chen 10.1088/0964-1726/2/1/004 2 22 1993 Carbon fiber reinforced concrete for smart structures capable of non-destructive flaw detection Cem. Concr. Compos. Materazzi 10.1016/j.cemconcomp.2012.12.013 37 2 2013 Carbon nanotube cement-based transducers for dynamic sensing of strain Cem. Concr. Compos. Galao 10.1016/j.cemconcomp.2013.11.009 46 90 2014 Strain and damage sensing properties on multifunctional cement composites with CNF admixture Constr. Build. Mater. Li 10.1016/j.conbuildmat.2022.127284 331 2022 A comprehensive review on self-sensing graphene/cementitious composites: a pathway toward next-generation smart concrete Measurement Han 10.1016/j.measurement.2014.09.048 59 110 2015 Intrinsic self-sensing concrete and structures: a review Composites B Tian 10.1016/j.compositesb.2019.107437 177 2019 A state-of-the-art on self-sensing concrete: materials, fabrication and properties Mater. Eval. Laflamme 76 1395 2018 Smart concrete for enhanced nondestructive evaluation Smart Mater. Struct. Downey 10.1088/1361-665X/aa98c2 27 2018 Smart bricks for strain sensing and crack detection in masonry structures Eng. Struct. Meoni 10.1016/j.engstruct.2021.112199 23915 2021 Strain field reconstruction and damage identification in masonry walls under in-plane loading using dense sensor networks of smart bricks: experiments and simulations Nanotechnology Han 10.1088/0957-4484/20/44/445501 20 2009 A self-sensing carbon nanotube/cement composite for traffic monitoring Sensors Lee 10.3390/s21155251 21 5251 2021 An innovative smart concrete anchorage with self-stress sensing capacity of prestressing stress of PS tendon Cem. Concr. Compos. Wansom 10.1016/j.cemconcomp.2006.01.014 28 509 2006 AC-impedance response of multi-walled carbon nanotube/cement composites Compos. Struct. García-Macías 10.1016/j.compstruct.2016.12.014 163 195 2017 Micromechanics modeling of the uniaxial strain-sensing property of carbon nanotube cement-matrix composites for SHM applications Comput. Methods Appl. Mech. Eng. García-Macías 10.1016/j.cma.2018.05.037 340 396 2018 3D mixed micromechanics-FEM modeling of piezoresistive carbon nanotube smart concrete Meoni p 161 2020 Smart bricks for post-earthquake assessment of masonry buildings Addit. Manuf. Vlachakis 10.1016/j.addma.2020.101238 34 2020 3D printed temperature-sensing repairs for concrete structures Constr. Build. Mater. Abolhasani 10.1016/j.conbuildmat.2022.126576 323 2022 Towards new generation of electrode-free conductive cement composites utilizing nano carbon black Smart Mater. Struct. Ding 10.1088/1361-665X/abf992 30 2021 Extracting piezoresistive response of self-sensing cementitious composites under temperature effect via Bayesian blind source separation Han 10.1016/C2013-0-14456-X 2014 Small Ding 10.1002/smll.202206258 19 2023 Self-sensing cementitious composites with hierarchical carbon fiber-carbon nanotube composite fillers for crack development monitoring of a maglev girder Nano Today Ding 10.1016/j.nantod.2022.101438 43 2022 In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures Han 10.1007/978-981-10-4349-9 2017 Struct. Health Monit. Gupta 10.1177/1475921716643867 16 309 2017 Self-sensing concrete enabled by nano-engineered cement-aggregate interfaces Smart Mater. Struct. Downey 10.1088/1361-665X/aa6b66 26 2017 Biphasic DC measurement approach for enhanced measurement stability and multi-channel sampling of self-sensing multi-functional structural materials doped with carbon-based additives Composites B García-Macías 10.1016/j.compositesb.2016.10.025 108 451 2017 Micromechanics modeling of the electrical conductivity of carbon nanotube cement-matrix composites Sens. Actuators A García-Macías 10.1016/j.sna.2017.04.004 260 45 2017 Enhanced lumped circuit model for smart nanocomposite cement-based sensors under dynamic compressive loading conditions Sens. Actuators A Qiu 10.1016/j.sna.2021.113049 331 2021 Self-sensing ultra-high performance concrete for in-situ monitoring Composites A Han 10.1016/j.compositesa.2015.09.016 79 103 2015 Electrostatic self-assembled carbon nanotube/nano carbon black composite fillers reinforced cement-based materials with multifunctionality Constr. Build. Mater. Zhang 10.1016/j.conbuildmat.2020.119452 256 2020 Tailoring sensing properties of smart cementitious composites based on excluded volume theory and electrostatic self-assembly Cem. Concr. Compos. Dong 10.1016/j.cemconcomp.2016.05.022 72 48 2016 Electrically conductive behaviors and mechanisms of short-cut super-fine stainless wire reinforced reactive powder concrete Autom. Constr. McAlorum 10.1016/j.autcon.2020.103415 121 2021 Robotic spray coating of self-sensing metakaolin geopolymer for concrete monitoring Adv. Funct. Mater. Dimov 10.1002/adfm.201705183 28 2018 Ultrahigh performance nanoengineered graphene–concrete composites for multifunctional applications Cem. Concr. Compos. Çelik 10.1016/j.cemconcomp.2021.104183 123 2021 Self-monitoring of flexural fatigue damage in large-scale steel-reinforced cementitious composite beams Earthq. Eng. Struct. Dyn. García-Macías 10.1002/eqe.3148 48 548 2019 Earthquake-induced damage detection and localization in masonry structures using smart bricks and Kriging strain reconstruction: a numerical study Smart Mater. Struct. Ding 10.1088/1361-665X/ab79b9 29 2020 Structural modal identification and health monitoring of building structures using self-sensing cementitious composites Autom. Constr. Lee 10.1016/j.autcon.2020.103323 119 2020 Wireless cement-based sensor for self-monitoring of railway concrete infrastructures Struct. Concr. Hegger 10.1002/suco.201700157 19 637 2018 Innovative design concepts: application of textile reinforced concrete to shell structures Eng. Struct. Tysmans 10.1016/j.engstruct.2011.05.007 33 2603 2011 Form finding methodology for force-modelled anticlastic shells in glass fibre textile reinforced cement composites Compos. Struct. Shames 10.1016/j.compstruct.2014.07.056 118 643 2014 Experimental investigations on textile- reinforced concrete (TRC) sandwich sections Lieboldt 369 2006 Textile reinforced concrete multilayer composite pipes Mater. Struct. Perry 10.1617/s11527-021-01778-8 54 181 2021 Design methodology for TRC pipes: experimental and analytical investigations J. Mater. Sci. Res. Funke 10.5539/jmsr.v4n3p33 4 33 2015 Development of effective textile-reinforced concrete noise barrier Tailor Made Concr. Struct. Papantoniou 475 2008 Textile reinforced concrete (TRC) for precast stay-in-place formwork elements Banholzer 351 2005 Lost formwork elements made of textile reinforced concrete J. Compos. Constr. Koutas 10.1061/(ASCE)CC.1943-5614.0000882 23 2019 Strengthening of concrete structures with textile reinforced mortars: state-of-the-art review Cem. Concr. Res. Wen 10.1016/S0008-8846(98)00211-7 29 445 1999 Piezoresistivity in continuous carbon fiber cement-matrix composite J. Compos. Mater. Christner 10.1177/0021998312437983 47 155 2012 Longitudinal and transverse strain sensitivity of embedded carbon fibre sensors Compos. Struct. Goldfeld 10.1016/j.compstruct.2017.08.102 181 294 2017 Sensing capabilities of carbon based TRC beam from slack to pull-out mechanism Sens. Actuators A Gaben 10.1016/j.sna.2021.113322 334 1 2022 Self-sensory carbon-based textile reinforced concrete beams—characterization of the structural-electrical response by AC measurements J. Strain Anal. Eng. Des. Quadflieg 10.1177/0309324716655058 51 482 2016 Carbon rovings as strain sensors for structural health monitoring of engineering materials and structures Struct. Health Monit. Yosef 10.1177/1475921720951122 20 2396 2021 Smart self-sensory carbon-based textile reinforced concrete structures J. Mech. Mater. Struct. Goldfeld 10.2140/jomms.2017.12.579 12 579 2017 Micro and macro crack sensing in TRC beam under cyclic loading Measurement Goldfeld 10.1016/j.measurement.2019.04.033 141 137 2019 Sensing accumulated cracking with smart coated and uncoated carbon based TRC Struct. Health Monit. Goldfeld 10.1177/1475921718808223 18 1383 2019 AR-glass/carbon-based textile-reinforced concrete elements for detecting water infiltration within cracked zones J. Intell. Mater. Syst. Struct. Perry 10.1177/1045389X211006901 32 2566 2021 Monitoring capabilities of various smart self sensory carbon-based textiles to detect water infiltration Smart Mater. Struct. Perry 10.1088/1361-665X/ac5ed2 31 2022 Smart self-sensory TRC pipe—proof of concept Smart Mater. Struct. Yun 10.1088/0964-1726/22/5/055006 22 2013 Stress sensing performance using mechanoluminescence of SrAl2O4:Eu (SAOE) and SrAl2O4:Eu,Dy (SAOED) under mechanical loadings J. Intell. Mater. Syst. Struct. Krishnan 10.1177/1045389x17689939 28 2458 2017 Dynamic characterization of elastico-mechanoluminescence towards structural health monitoring Smart Mater. Struct. Sage 10.1088/0964-1726/8/4/308 8 504 1999 Triboluminescent damage sensors Struct. Health Monit. Olawale 10.1177/1475921713513976 13 177 2014 Getting light through cementitious composites with in situ triboluminescent damage sensor Struct. Health Monit. Rivas Lopez 10.1177/1475921709340975 9 105 2010 Optoelectronic method for structural health monitoring Sens. Actuators A Cusano 10.1016/S0924-4247(00)00361-7 84 270 2000 An optoelectronic sensor for cure monitoring in thermoset-based composites Ryu 10.1117/12.881180 7981 2011 Validation of photocurrent-based strain sensing using a P3HT-based nanocomposite Smart Struct. Syst. Ryu 10.12989/sss.2011.8.5.471 8 471 2011 In situ reduction of gold nanoparticles in PDMS matrices and applications for large strain sensing Smart Mater. Struct. Ryu 10.1088/0964-1726/21/6/065016 21 2012 Strain sensing using photocurrent generated by photoactive P3HT-based nanocomposites Smart Mater. Struct. Ryu 10.1088/0964-1726/23/8/085011 23 2014 Multi-modal sensing using photoactive thin films Smart Mater. Struct. Ryu 10.1088/1361-665X/aa6fde 26 2017 Fracto-mechanoluminescent light emission of EuD 4 TEA-PDMS composites subjected to high strain-rate compressive loading IEEE Sens. Lett. Ryu 10.1109/LSENS.2018.2838019 2 1 2018 Multivariate characterization of light emission from ZnS:Cu-PDMS self-sensing composites under cyclic tensile strains Appl. Phys. Lett. Xu doi:10.1063/1.125695 76 179 2000 Dynamic visualization of stress distribution by mechanoluminescence image J. Am. Ceram. Soc. Sohn 10.1111/j.1151-2916.2002.tb00158.x 85 712 2002 Direct observation of crack tip stress field using the mechanoluminescence of SrAl2O4:(Eu,Dy,Nd) Appl. Phys. Lett. Kim doi:10.1063/1.2748100 90 2007 Mechanoluminescent SrAl2O4:Eu,Dy phosphor for use in visualization of quasidynamic crack propagation Ryu 2015 10.12783/SHM2015/275 Mechanoluminescent composites towards autonomous impact damage detection of aerospace structures Chem. Rev. Günes 10.1021/cr050149z 107 1324 2007 Conjugated polymer-based organic solar cells Comp. Phys. Comm. Thompson 10.1016/j.cpc.2021.108171 271 2022 LAMMPS- A flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales Ryu 2019 Self-powered sensing of tensile strain using multifunctional mechano-luminescence-optoelectronic composites 2021 Decarbonising construction: building a new net zero industry Glob. Environ. Change McDaniels 10.1016/j.gloenvcha.2008.03.001 18 310 2008 Fostering resilience to extreme events within infrastructure systems: characterizing decision contexts for mitigation and adaptation Smart Mater. Struct. Wan 10.1088/0964-1726/17/3/035037 17 2008 Investigation of the strain transfer for surface-attached optical fiber strain sensors J. Behav. Exp. Finance Ding 10.1016/j.jbef.2017.03.003 14 14 2017 Factors driving memory fallibility: a conceptual framework for accounting and finance studies Integr. Assess. Walker 10.1076/iaij.4.1.5.16466 4 5 2003 Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support Measurement Yi 10.1016/j.measurement.2017.05.064 109 200 2017 Development of sensor validation methodologies for structural health monitoring: a comprehensive review J. Comput. Civ. Eng. McLaughlin 10.1061/(ASCE)CP.1943-5487.0000915 34 2020 Automated defect quantification in concrete bridges using robotics and deep learning Meas. Sci. Technol. Cheng 10.1088/1361-6501/abe480 32 2021 A novel robot-assisted electrical impedance scanning system for subsurface object detection Int. J. Intell. Robot. Appl. Jahanshahi 10.1007/s41315-017-0024-8 1 287 2017 Reconfigurable swarm robots for structural health monitoring: a brief review Tshimbombo 10.1109/I2MTC50364.2021.9459824 2021 Robotic installation of wireless strain gauges into precast concrete elements Autom. Constr. McAlorum 10.1016/j.autcon.2020.103415 121 2020 Robotic spray coating of self-sensing metakaolin geopolymer for concrete monitoring MDPI Sens. Sayed 10.3390/s18103487 18 3487 2018 The limpet: a ROS-enabled multi-sensing platform for the ORCA hub MDPI Sens. Ahmed 10.3390/s20143954 20 3945 2020 Review of non-destructive civil infrastructure evaluation for bridges: state-of-the-art robotic platforms, sensors and algorithms MDPI Robot. Vitanov 10.3390/robotics10040112 10 112 2021 A suite of robotic solutions for nuclear waste decommissioning Soft Robot. Sayed 10.1089/soro.2019.0161 8 319 2021 Limpet II: a modular, untethered soft robot Proc. IEEE Dahiya 10.1109/JPROC.2019.2941366 107 2016 2019 Large-area soft e-skin: the challenges beyond sensor designs Adv. Mater. Valentine 10.1002/adma.201703817 29 2017 Hybrid 3D printing of soft electronics MDPI Sens. Li 10.3390/s22062358 22 2358 2022 SDFormer: a novel transformer neural network for structural damage identification by segmenting the strain field map Dev. Built Environ. Sacks 10.1016/j.dibe.2020.100011 4 2020 Building information modelling, artificial intelligence and construction tech Comput.-Aided Civ. Infrastruct. Wu 10.1111/mice.12449 34 774 2019 Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures 2022 Comput.-Aided Civ. Infrastruct. Eng. Nasimi 10.1111/mice.12652 36 421 2021 A methodology for measuring the total displacements of structures using a laser–camera system J. Bridge Eng. Garg 10.1061/(ASCE)BE.1943-5592.0001472 24 2019 Noncontact dynamic displacement measurement of structures using a moving laser Doppler vibrometer Int. J. Intell. Robot. Appl. Moreu 10.1007/s41315-017-0041-7 2 67 2018 Remote railroad bridge structural tap testing using aerial robots Sensors Nasimi 10.3390/s22041458 22 1458 2022 Use of remote structural tap testing devices deployed via ground vehicle for health monitoring of transportation infrastructure Adv. Struct. Eng. Morgenthal 10.1260/1369-4332.17.3.289 17 289 2014 Quality assessment of unmanned aerial vehicle (UAV) based visual inspection of structures Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. Roca 10.5194/isprsarchives-XL-5-523-2014 40 523 2014 Lidar-equipped UAV for building information modelling Reagan 2017 Unmanned aerial vehicle measurement using three’ Dimensional digital image correlation to perform bridge structural health monitoring 2016 2017 Infrastructure report card Taddesse 2011 Bridge inspection techniques Ryan 2012 Bridge inspector’s reference manual 2018 3rd edn Autom. Constr. Omar 10.1016/j.autcon.2017.06.024 83 360 2017 Remote sensing of concrete bridge decks using unmanned aerial vehicle infrared thermography Alex. Eng. J. Mohan 57 787 2017 10.1016/j.aej.2017.01.020 Crack detection using image processing: a critical review and analysis Moore 2001 Reliability of visual inspection for highway bridges Polydorou 2021 10.1007/978-3-030-74258-4_17 Health monitoring of structures using integrated unmanned aerial vehicles (UAVs) Sensors Garg 10.3390/s20216051 20 6051 2020 Measuring transverse displacements using unmanned aerial systems laser Doppler vibrometer (UAS-LDV): development and field validation J. Eng. Mech. Nasimi 10.1061/(ASCE)EM.1943-7889.0001939 147 2021 Development and implementation of a laser–camera–UAV system to measure total dynamic transverse displacement Sensors Nasimi 10.3390/s23010470 23 470 2023 Sensor equipped UAS for non-contact bridge inspections: field application Proc. Comput. Sci. Sreenath 10.1016/j.procs.2020.03.174 170 656 2020 Assessment and use of unmanned aerial vehicle for civil structural health monitoring 2016 IEEE Access Shakhatreh 10.1109/ACCESS.2019.2909530 7 48572 2019 Unmanned aerial vehicles (UAVs): a survey on civil applications and key research challenges Aerospace Eaton 10.3390/AEROSPACE3010001 3 1 2016 Multiple-scenario unmanned aerial system control: a systems engineering approach and review of existing control methods 2016 Reber 2019 Deploying a drone as a first responder Proc. IEEE Rosen 10.1109/5.838084 88 333 2000 Synthetic aperture radar interferometry IEEE Trans. Geosci. Remote Sens. Ferretti 10.1109/36.868878 38 2202 2000 Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry Remote Sens. Environ. Rucci 10.1016/j.rse.2011.09.030 120 156 2012 Sentinel 1 SAR interferometry applications: the outlook for sub millimeter measurements Struct. Control Health Monit. Giardina 10.1002/stc.2285 26 2 2019 Evaluation of InSAR monitoring data for post-tunnelling settlement damage assessment Struct. Health Monit. Drougkas 10.1177/1475921720942120 20 2317 2020 Country-scale InSAR monitoring for settlement and uplift damage calculation in architectural heritage structures IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. Chang 10.1109/JSTARS.2016.2584783 10 596 2016 Nationwide railway monitoring using satellite SAR interferometry Appl. Sci. Infante 10.3390/app9245535 9 5535 2019 Integrated procedure for monitoring and assessment of linear infrastructures safety (I-Pro MONALISA) affected by slope instability Struct. Health Monit. Macchiarulo 10.1177/14759217211045912 21 1849 2022 Monitoring deformations of infrastructure networks: a fully automated GIS integration and analysis of InSAR time-series Sci. Rep. Milillo 10.1038/srep37408 6 2016a Space geodetic monitoring of engineered structures: the ongoing destabilization of the Mosul dam, Iraq Rem Sens. Milillo 10.3390/rs11121403 11 12 2019 Pre-collapse space geodetic observations of critical infrastructure: the Morandi Bridge, Genoa, Italy Int. J. Appl. Earth Obs. Geoinf. Selvakumaran 10.1016/j.jag.2018.07.004 73 463 2018 Remote monitoring to predict bridge scour failure using interferometric synthetic aperture radar (InSAR) stacking techniques Proc. of the Institution of Civil Engineers - Bridge Engineering Macchiarulo 10.1680/jbren.21.00039 176 92 2022 Multi temporal-InSAR for structural health monitoring: recent trends and challenges Rocca 2003 3D motion recovery with multi-angle and/or left right interferometry 2021 IEEE Trans. Geosci. Remote Sens. Perissin 10.1109/TGRS.2011.2160644 50 271 2011 Repeat-pass SAR interferometry with partially coherent targets IEEE Trans. Geosci. Remote Sens. Auer 10.1109/TGRS.2009.2029339 48 1445 2009 Ray-tracing simulation techniques for understanding high-resolution SAR images Transp. Geotech. Reinders 10.1016/j.trgeo.2022.100722 33 2022 Proving compliance of satellite InSAR technology with geotechnical design codes ISPRS J. Photogramm. Remote Sens. Crosetto 10.1016/j.isprsjprs.2015.10.011 115 78 2016 Persistent scatterer interferometry: a review IEEE Trans. Geosci. Remote Sens. Anantrasirichai 10.1109/TGRS.2020.3018315 59 2940 2021 Detecting ground deformation in the built environment using sparse satellite InSAR data with a convolutional neural network Front. Earth Sci. Milillo 10.3389/feart.2021.728643 9 1132 2021 Neural-network pattern recognition experiments toward a full-automatic detection of anomalies in InSAR time-series of surface deformation