Benchmarking dynamic properties of structures using non-contact sensing

Springer Science and Business Media LLC - Tập 22 - Trang 387-405 - 2023
Boshra Besharatian1, Amrita Das1, Abdelrahman Awawdeh2, Sattar Dorafshan1, Marc Maguire2
1Department of Civil Engineering, University of North Dakota, Grand Forks, USA
2Durham School of Architectural Engineering and Construction, University of Nebraska-Lincoln, Omaha, USA

Tóm tắt

Non-contact sensing can be a rapid and convenient alternative for determining structure response compared to conventional instrumentation. Computer vision has been broadly implemented to enable accurate non-contact dynamic response measurements for structures. This study has analyzed the effect of non-contact sensors, including type, frame rate, and data collection platform, on the performance of a novel motion detection technique. Video recordings of a cantilever column were collected using a high-speed camera mounted on a tripod and an unmanned aerial system (UAS) equipped with visual and thermal sensors. The test specimen was subjected to an initial deformation and released. Specimen acceleration data were collected using an accelerometer installed on the cantilever end. The displacement from each non-contact sensor and the acceleration from the contact sensor were analyzed to measure the specimen’s natural frequency and damping ratio. The specimen’s first fundamental frequency and damping ratio results were validated by analyzing acceleration data from the top of the specimen and a finite element model.

Tài liệu tham khảo

Bao Y, Tang Z and Li H (2020), “Compressive-Sensing Data Reconstruction for Structural Health Monitoring: a Machine-Learning Approach,” Structural Health Monitoring, 19(1): 293–304.

Bathe KJ and Wilson EL (1976), Numerical Methods in Finite Element Analysis, Prentice Hall, USA.

Besharatian B and Dorafshan S (2022, June), “Non-Contact Bridge Deck Evaluation Using Infrared Thermography, a Pipeline for Data Annotation,” 2022 International Conference on Unmanned Aircraft Systems (ICUAS), IEEE: 1389–1396.

Carden EP and Fanning P (2004), “Vibration Based Condition Monitoring: A Review,” Structural Health Monitoring, 3(4): 355–377.

Cawood AJ, Bond CE, Howell JA, Butler RW and Totake Y (2017), “LiDAR, UAV or Compass-Clinometer? Accuracy, Coverage and the Effects on Structural Models,” Journal of Structural Geology, 98: 67–82.

Chang M and Maguire M (2020), “Condition Rating Prediction Using an Interactive Deterioration Model Development Package,” Applied Sciences, 10(24): 8946.

Chang M, Maguire M and Sun Y (2019), “Stochastic Modeling of Bridge Deterioration Using Classification Tree and Logistic Regression,” Journal of Infrastructure Systems, 25(1): 04018041.

Chen JG, Adams TM, Sun H, Bell ES and Büyüköztürk O (2018), “Camera-Based Vibration Measurement of the World War I Memorial Bridge in Portsmouth, New Hampshire,” Journal of Structural Engineering, 144(11): 4018207.

Chen W, Jana D, Singh A, Jin M, Cenedese M, Kosova G, Brake MR, Schwingshackl CW, Nagarajaiah S, Moore KJ and Noël JP (2022), “Measurement and Identification of the Nonlinear Dynamics of a Jointed Structure Using Full-Field Data, Part I: Measurement of Nonlinear Dynamics,” Mechanical Systems and Signal Processing, 166: 108401.

Chopra AK (2007), Dynamics of Structures, Pearson Education India, India.

Deng G, Zhou Z, Shao S, Chu X and Jian C (2020), “A Novel Dense Full-Field Displacement Monitoring Method Based on Image Sequences and Optical Flow Algorithm,” Applied Science, 10(6): 2118.

Deng R, Lin Y, Li M, Gu F and Ball A (2022), “Vision-Based Vibration Mode Shape Extraction for Identifying Cracks in a Cantilever Beam,” Journal of Physics: Conference Series, 2184(1): 012037.

Dong CZ, Bas S and Catbas FN (2020), “Investigation of Vibration Serviceability of a Footbridge Using Computer Vision-Based Methods,” Engineering Structures, 224: 111224.

Dong CZ, Bas S, Debees M, Alver N and Catbas FN (2020), “Bridge Load Testing for Identifying Live Load Distribution, Load Rating, Serviceability and Dynamic Response,” Frontiers in Built Environment, 6: 46.

Dong CZ and Catbas FN (2021), “A Review of Computer Vision-Based Structural Health Monitoring at Local and Global Levels,” Structural Health Monitoring, 20(2): 692–743.

Dorafshan S, Campbell LE, Maguire M and Connor RJ (2021), “Benchmarking Unmanned Aerial Systems-Assisted Inspection of Steel Bridges for Fatigue Cracks,” Transportation Research Record, 2675(9): 154–166.

Dorafshan S, Thomas RJ, Coopmans C and Maguire M (2018), “Deep Learning Neural Networks for sUAS-Assisted Structural Inspections: Feasibility and Application,” 2018 International Conference on Unmanned Aircraft Systems (ICUAS), IEEE: 874–882.

Fan W and Qiao P (2011), “Vibration-Based Damage Identification Methods: A Review and Comparative Study,” Structural Health Monitoring, 10(1): 83–111.

Federal Highway Administration (2017), National Bridge Inspection Standards (FHWA-FAPG 23 CFR 650C), FHWA, McLean, VA, USA.

Feng MQ and Kim DH (2006), “Novel Fiber Optic Accelerometer System Using Geometric Moiré Fringe,” Sensors and Actuators A: Physical, 128(1): 37–42.

Garg P, Nasimi R, Ozdagli A, Zhang S, Mascarenas DDL, Reda Taha M and Moreu F (2020), “Measuring Transverse Displacements Using Unmanned Aerial Systems Laser Doppler Vibrometer (UAS-LDV): Development and Field Validation,” Sensors, 20(21): 6051.

Guo J, Wu X, Liu J, Wei T, Yang X, Yang X, He B and Zhang W (2021), “Noncontact Vibration Sensor Using Deep Learning and Image Processing,” Measurement, 183:109823.

Harvey PS and Elisha G (2018), “Vision-Based Vibration Monitoring Using Existing Cameras Installed Within a Building,” Structural Control and Health Monitoring, 25(11): e2235.

Havaran A and Mahmoudi M (2020), “Markers Tracking and Extracting Structural Vibration Utilizing Randomized Hough Transform,” Automation in Construction, 116: 103235.

Hoskere V, Park JW, Yoon H and Spencer BF (2019), “Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles,” Journal of Structural Engineering, 145(7): 04019062.

Ichi E and Dorafshan S (2022), “Effectiveness of Infrared Thermography for Delamination Detection in Reinforced Concrete Bridge Decks,” Automation in Construction, 142: 104523.

Jana D and Nagarajaiah S (2021), “Computer Vision-Based Real-Time Cable Tension Estimation in Dubrovnik Cable-Stayed Bridge Using Moving Handheld Video Camera,” Structural Control and Health Monitoring, 28(5): e2713.

Jin M, Kosova G, Cenedese M, Chen W, Singh A, Jana D, Brake MR, Schwingshackl CW, Nagarajaiah S, Moore KJ and Noël JP (2022), “Measurement and Identification of the Nonlinear Dynamics of a Jointed Structure Using Full-Field Data; Part II-Nonlinear System Identification,” Mechanical Systems and Signal Processing, 166: 108402.

Kalybek M, Bocian M and Nikitas N (2021), “Performance of Optical Structural Vibration Monitoring Systems in Experimental Modal Analysis,” Sensors, 21(4): 1239.

Kromanis R and Kripakaran P (2021), “A Multiple Camera Position Approach for Accurate Displacement Measurement Using Computer Vision,” Journal of Civil Structural Health Monitoring, 11(3): 661–678.

Lavatelli A and Zappa E (2017), “A Displacement Uncertainty Model for 2-D DIC Measurement Under Motion Blur Conditions,” IEEE Transactions on Instrumentation and Measurement, 66(3): 451–459.

Luan L, Zheng J, Wang ML, Yang Y, Rizzo P and Sun H (2021), “Extracting Full-Field Subpixel Structural Displacements from Videos via Deep Learning,” Journal of Sound and Vibration, 50: 116142.

Maguire M, Roberts-Wollmann C and Cousins T (2018), “Live-Load Testing and Long-Term Monitoring of the Varina-Enon Bridge: Investigating Thermal Distress,” Journal of Bridge Engineering, 23(3): 04018003.

Mishra M, Lourenço PB and Ramana GV (2022), “Structural Health Monitoring of Civil Engineering Structures by Using the Internet of Things: A Review,” Journal of Building Engineering, 48: 103954.

Moschas F and Stiros S (2011), “Measurement of the Dynamic Displacements and of the Modal Frequencies of a Short-Span Pedestrian Bridge Using GPS and an Accelerometer,” Engineering Structures, 33(1): 10–17.

Ngeljaratan L and Moustafa MA (2020), “Structural Health Monitoring and Seismic Response Assessment of Bridge Structures Using Target-Tracking Digital Image Correlation,” Structural Engineering, 213: 11055.

Perry BJ and Guo Y (2021), “A Portable Three-Component Displacement Measurement Technique Using an Unmanned Aerial Vehicle (UAV) and Computer Vision: A Proof of Concept,” Measurement, 176: 109222.

Poozesh P, Baqersad J, Niezrecki C, Avitabile P, Harvey E and Yarala R (2017), “Large-Area Photogrammetry Based Testing of Wind Turbine Blades,” Mechanical Systems and Signal Processing, 86: 98–115.

Rinaldi C, Ciambella J and Gattulli V (2022), “Image-Based Operational Modal Analysis and Damage Detection Validated in an Instrumented Small-Scale Steel Frame Structure,” Mechanical Systems and Signal Processing, 168: 108640.

Sabato A, Niezrecki C and Fortino G (2016), “Wireless MEMS-Based Accelerometer Sensor Boards for Structural Vibration Monitoring: A Review,” IEEE Sensors Journal, 17(2): 226–235.

Sony S, Laventure S and Sadhu A (2019), “A Literature Review of Next-Generation Smart Sensing Technology in Structural Health Monitoring,” Structural Control and Health Monitoring, 26(3): e2321.

Spencer BF, Hoskere V and Narazaki Y (2019), “Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring,” Engineering, 5(2): 199–222.

Srinivasan R and Parlikad AK (2013), “Value of Condition Monitoring in Infrastructure Maintenance,” Computers and Industrial Engineering, 66(2): 233–241.

Wang H, Tao T, Guo T, Li J and Li A (2014), “Full-Scale Measurements and System Identification on Sutong Cable-Stayed Bridge During Typhoon Fung-Wong,” The Scientific World Journal, 2014: 936832.

Wang Z, Kieu H, Nguyen H and Le M (2015), “Digital Image Correlation in Experimental Mechanics and Image Registration in Computer Vision: Similarities, Differences and Complements,” Optics and Lasers in Engineering, 65: 18–27.

Xu Y (2020), “Photogrammetry-Based Structural Damage Detection by Tracking a Visible Laser Line,” Structural Health Monitoring, 19(1): 322–336.

Xu Y, Zhang J and Brownjohn J (2021), “An Accurate and Distraction-Free Vision-Based Structural Displacement Measurement Method Integrating Siamese Network Based Tracker and Correlation-Based Template Matching,” Measurement, 179: 109506.

Yang R, Singh SK, Tavakkoli M, Amiri N, Yang Y, Karami MA and Rai R (2020), “CNN-LSTM Deep Learning Architecture for Computer Vision-Based Modal Frequency Detection,” Mechanical Systems and Signal Processing, 144: 106885.

Yi TH, Li HN and Gu M (2013), “Experimental Assessment of High-Rate GPS Receivers for Deformation Monitoring of Bridge,” Measurement, 46(1): 420–432.

Zhao J, Bao Y, Guan Z, Zuo W, Li J and Li H (2019), “Video-Based Multiscale Identification Approach for Tower Vibration of a Cable-Stayed Bridge Model Under Earthquake Ground Motions,” Structural Control and Health Monitoring, 26(3): e2314.

Thông tin
Thông tin xuất bản

Springer Science and Business Media LLC

Tập 22

387-405

Thông tin tác giả