Technological mediation and civil structure condition assessment: the case of vision-based systems

References

• Aagaard, J. 2017. “Introducing Postphenomenological Research: A Brief and Selective Sketch of Phenomenological Research Methods.” International Journal of Qualitative Studies in Education 30 (6): 519–533. doi:https://doi.org/10.1080/09518398.2016.1263884.
   Web of Science ®Google Scholar
• Adhikari, R., O. Moselhi, and A. Bagchi. 2014. “Image-Based Retrieval of Concrete Crack Properties for Bridge Inspection.” Automation in Construction 39: 180–194. doi:https://doi.org/10.1016/j.autcon.2013.06.011.
   Web of Science ®Google Scholar
• Basu, S. 2017. Plant Hazard Analysis and Safety Instrumentation Systems. London: Elsevier.
   Google Scholar
• Brownjohn, J. M. 2007. “Structural Health Monitoring of Civil Infrastructure.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365 (1851): 589–622. doi:https://doi.org/10.1098/rsta.2006.1925.
   PubMed Web of Science ®Google Scholar
• Brownjohn, J. M. W., Y. Xu, and D. Hester. 2017. “Vision-Based Bridge Deformation Monitoring.” Frontiers in Built Environment 3: 23. doi:https://doi.org/10.3389/fbuil.2017.00023.
   Google Scholar
• Busca, G., A. Cigada, P. Mazzoleni, and E. Zappa. 2014. “Vibration Monitoring of Multiple Bridge Points by Means of a Unique Vision-Based Measuring System.” Experimental Mechanic 54 (2): 255–271. doi:https://doi.org/10.1007/s11340-013-9784-8.
   Web of Science ®Google Scholar
• Carmichael, D. G. 2020. “Bias and Decision Making – An Overview Systems Explanation.” Civil Engineering and Environmental Systems 37 (1-2): 48–61. doi:https://doi.org/10.1080/10286608.2020.1744133.
   Web of Science ®Google Scholar
• Choi, H.-S., J.-H. Cheung, S.-H. Kim, and J.-H. Ahn. 2011. “Structural Dynamic Displacement Vision System Using Digital Image Processing.” NDT & E International 44 (7): 597–608. doi:https://doi.org/10.1016/j.ndteint.2011.06.003.
   Web of Science ®Google Scholar
• Dias, W. P. S. 2006. “Heidegger’s Resonance with Engineering: The Primacy of Practice.” Science and Engineering Ethics 12: 523–532. doi:https://doi.org/10.1007/s11948-006-0050-7.
   PubMed Web of Science ®Google Scholar
• Dong, C.-Z., and F. N. Catbas. 2020. “A Review of Computer Vision–Based Structural Health Monitoring at Local and Global Levels.” Structural Health Monitoring 1475921720935585. doi:https://doi.org/10.1177/1475921720935585.
   Google Scholar
• Dong, C.-Z., O. Celik, F. N. Catbas, E. J. O’Brien, and S. Taylor. 2020. “Structural Displacement Monitoring Using Deep Learning-Based Full Field Optical Flow Methods.” Structure and Infrastructure Engineering 16 (1): 51–71. doi:https://doi.org/10.1080/15732479.2019.1650078.
   Web of Science ®Google Scholar
• Dong, Y., R. Song, and H. Liu. 2010. Bridges Structural Health Monitoring and Deterioration Detection Synthesis of Knowledge and Technology (No. AUTC# 309036). Alaska: Dept. of Transportation and Public Facilities.
   Google Scholar
• Dutton, M., W. A. Take, and N. A. Hoult. 2014. “Curvature Monitoring of Beams Using Digital Image Correlation.” Journal of Bridge Engineering 19 (3): 05013001. doi:https://doi.org/10.1061/(ASCE)BE.1943-5592.0000538.
   Web of Science ®Google Scholar
• Enckell, M., B. Glisic, F. Myrvoll, and B. Bergstrand. 2011. “Evaluation of a Large-Scale Bridge Strain, Temperature and Crack Monitoring with Distributed Fibre Optic Sensors.” Journal of Civil Structural Health Monitoring 1 (1–2): 37–46. doi:https://doi.org/10.1007/s13349-011-0004-x.
   Google Scholar
• Farrar, C. R., and N. A. Lieven. 2006. “Damage Prognosis: The Future of Structural Health Monitoring.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365 (1851): 623–632. doi:https://doi.org/10.1098/rsta.2006.1927.
   Web of Science ®Google Scholar
• Feng, D., and M. Q. Feng. 2018. “Computer Vision for SHM of Civil Infrastructure: From Dynamic Response Measurement to Damage Detection – A Review.” Engineering Structures 156: 105–117. doi:https://doi.org/10.1016/j.engstruct.2017.11.018.
   Web of Science ®Google Scholar
• Gastineau, A., T. Johnson, and A. Schultz. 2009. Bridge Health Monitoring and Inspections – A Survey of Methods. Minneapolis: University of Minnesota.
   Google Scholar
• Ho, D.-D., K.-D. Nguyen, P.-Y. Lee, D.-S. Hong, S.-Y. Lee, J.-T. Kim, S.-W. Shin, C.-B. Yun, and M. Shinozuka. 2012. “Wireless Structural Health Monitoring of Cable-Stayed Bridge Using Imote2-Platformed Smart Sensors.” In Proc. SPIE 8345, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 83450 T (26 March 2012).
   Google Scholar
• Hong, T., and M. Hastak. 2005. “MEMRRES: Model for Evaluating Maintenance, Repair and Rehabilitation Strategies in Concrete Bridge Decks.” Civil Engineering and Environmental Systems 22 (4): 233–248. doi:https://doi.org/10.1080/10286600500392742.
   Web of Science ®Google Scholar
• Husserl, E. 1983. Ideas pertaining to a pure phenomenology and to a philosophical phenomenology. Kluwer Academic Publishers.
   Google Scholar
• Ihde, D. 1986. Experimental Phenomenology: An Introduction. Albany: SUNY Press.
   Google Scholar
• Ihde, D. 1990. Technology and the Lifeworld: From Garden to Earth. Bloomington: Indiana University Press.
   Google Scholar
• Ihde, D. 1998. “Whole Earth Measurements.” Philosophy and Technology 2 (2): 61–72.
   Google Scholar
• Ihde, D. 2009. Postphenomenology and Technoscience: The Peking University Lectures. Albany: Suny Press.
   Google Scholar
• Ihde, D. 2015. “Positioning Postphenomenology.” In Postphenomenological Investigations: Essays on Human–Technology Relations, edited by R. Rosenberger and P.-P. Verbeek, vii–xvi. London/New York: Lexington Books.
   Google Scholar
• Ikeuchi, K. 2014. Computer Vision: A Reference Guide. Cham: Springer.
   Google Scholar
• Khuc, T., and F. N. Catbas. 2017. “Computer Vision-Based Displacement and Vibration Monitoring Without Using Physical Target on Structures.” Structure and Infrastructure Engineering 13 (4): 505–516. doi:https://doi.org/10.1080/15732479.2016.1164729.
   Web of Science ®Google Scholar
• Khuc, T., and F. N. Catbas. 2018. “Structural Identification Using Computer Vision–Based Bridge Health Monitoring.” Journal of Structural Engineering 144 (2): 04017202. doi:https://doi.org/10.1061/(ASCE)ST.1943-541X.0001925.
   Web of Science ®Google Scholar
• Kromanis, R., and P. Kripakaran. 2021. “A Multiple Camera Position Approach for Accurate Displacement Measurement Using Computer Vision.” Journal of Civil Structural Health Monitoring 11: 661–678. doi:https://doi.org/10.1007/s13349-021-00473-0.
   Web of Science ®Google Scholar
• Kromanis, R., Y. Xu, D. Lydon, J. Martinez del Rincon, and A. Al-Habaibeh. 2019. “Measuring Structural Deformations in the Laboratory Environment Using Smartphones.” Frontiers in Built Environment 5: 44. doi:https://doi.org/10.3389/fbuil.2019.00044.
   Google Scholar
• Lydon, D., M. Lydon, S. Taylor, J. M. Del Rincon, D. Hester, and J. Brownjohn. 2019. “Development and Field Testing of a Vision-Based Displacement System Using a low Cost Wireless Action Camera.” Mechanical Systems and Signal Processing 121: 343–358. doi:https://doi.org/10.1016/j.ymssp.2018.11.015.
   Web of Science ®Google Scholar
• Nickerson, R. S. 1998. “Confirmation Bias: A Ubiquitous Phenomenon in Many Guises.” Review of General Psychology 2 (2): 175–220. doi:https://doi.org/10.1037/1089-2680.2.2.175.
   Google Scholar
• Nielsen, L., S. T. Glavind, J. Qin, and M. H. Faber. 2019. “Faith and Fakes – Dealing with Critical Information in Decision Analysis.” Civil Engineering and Environmental Systems 36 (1): 32–54. doi:https://doi.org/10.1080/10286608.2019.1615476.
   Web of Science ®Google Scholar
• Ri, S., H. Tsuda, K. Chang, S. Hsu, F. Lo, and T. Lee. 2020. “Dynamic Deformation Measurement by the Sampling Moiré Method from Video Recording and its Application to Bridge Engineering.” Experimental Techniques 44: 313–327. doi:https://doi.org/10.1007/s40799-019-00358-4.
   Web of Science ®Google Scholar
• Rosenberger, R. 2008. “Perceiving Other Planets: Bodily Experience, Interpretation, and the Mars Orbiter Camera.” Human Studies 31 (1): 63–75. doi:https://doi.org/10.1007/s10746-007-9078-1.
   Web of Science ®Google Scholar
• Rosenberger, R. 2011. “A Case Study in the Applied Philosophy of Imaging: The Synaptic Vesicle Debate.” Science, Technology, & Human Values 36 (1): 6–32. doi:https://doi.org/10.1177/0162243909337117.
   Web of Science ®Google Scholar
• Rosenberger, R., and P.-P. Verbeek. 2015. Postphenomenological Investigations: Essays on Human–Technology Relations. London/New York: Lexington Books.
   Google Scholar
• Seyedpoor, S. M., S. Shahbandeh, and O. Yazdanpanah. 2015. “An Efficient Method for Structural Damage Detection Using a Differential Evolution Algorithm-Based Optimisation Approach.” Civil Engineering and Environmental Systems 32 (3): 230–250. doi:https://doi.org/10.1080/10286608.2015.1046051.
   Web of Science ®Google Scholar
• Stephen, G. A., J. M. W. Brownjohn, and C. A. Taylor 1993. “Measurements of static and dynamic displacement from visual monitoring of the Humber Bridge.” Engineering Structures 15 (3): 197–208. doi:https://doi.org/10.1016/0141-0296(93)90054-8.
   Web of Science ®Google Scholar
• Thunnissen, D. P. 2003. “Uncertainty Classification for the Design and Development of Complex Systems.” In 3rd Annual Predictive Methods Conference. Newport Beach, CA.
   Google Scholar
• Turk, Z. 1998. “On Theoretical Backgrounds of CAD.” In Artificial Intelligence in Structural Engineering, edited by I. Smith, 490–496. Berlin/Heidelberg: Springer.
   Google Scholar
• Turk, Ž. 2001a. “Multimedia: Providing Students with Real World Experiences.” Automation in Construction 10 (2): 247–255. doi:https://doi.org/10.1016/S0926-5805(99)00034-5.
   Web of Science ®Google Scholar
• Turk, Ž. 2001b. “Phenomenologial Foundations of Conceptual Product Modelling in Architecture, Engineering and Construction.” Artificial Intelligence in Engineering 15 (2): 83–92. doi:https://doi.org/10.1016/S0954-1810(01)00008-5.
   Google Scholar
• Verbeek, P.-P. 2001. “Don Ihde: The Technological Lifeworld.” In American Philosophy of Technology: The Empirical Turn, edited by H. Achterhuis and R. P. Crease, 119–146. Bloomington: Indiana University Press.
   Google Scholar
• Verbeek, P.-P. 2005. What Things Do: Philosophical Reflections on Technology, Agency, and Design. University Park, PA: Penn State Press.
   Google Scholar
• Verbeek, P.-P. 2006. “Materializing Morality: Design Ethics and Technological Mediation.” Science, Technology, & Human Values 31 (3): 361–380. doi:https://doi.org/10.1177/0162243905285847.
   Web of Science ®Google Scholar
• Verbeek, P.-P. 2008. “Cyborg Intentionality: Rethinking the Phenomenology of Human–Technology Relations.” Phenomenology and the Cognitive Sciences 7 (3): 387–395. doi:https://doi.org/10.1007/s11097-008-9099-x.
   Web of Science ®Google Scholar
• Voordijk, J. T. 2019. “Technological Mediation in Construction: Postphenomenological Inquiry Into Digital Technologies.” Journal of Construction Engineering and Management 145 (12): 04019084. doi:https://doi.org/10.1061/(ASCE)CO.1943-7862.0001719.
   Web of Science ®Google Scholar
• Wellner, G. 2018. “From Cellphones to Machine Learning. A Shift in the Role of the User in Algorithmic Writing.” In Towards a Philosophy of Digital Media, edited by A. Romele and E. Terrone, 205–224. Cham: Palgrave Macmillan.
   Google Scholar
• Wiltse, H. 2014. “Unpacking Digital Material Mediation.” Techné: Research in Philosophy and Technology 18 (3): 154–182. doi:https://doi.org/10.5840/techne201411322.
   Google Scholar
• Xu, Y., J. M. Brownjohn, and F. Huseynov. 2019. “Accurate Deformation Monitoring on Bridge Structures Using a Cost-Effective Sensing System Combined with a Camera and Accelerometers: Case Study.” Journal of Bridge Engineering 24 (1): 05018014. doi:https://doi.org/10.1061/(ASCE)BE.1943-5592.0001330.
   Web of Science ®Google Scholar
• Xu, Y., J. Brownjohn, and D. Kong. 2018. “A Non-Contact Vision-Based System for Multipoint Displacement Monitoring in a Cable-Stayed Footbridge.” Structural Control and Health Monitoring 25 (5): e2155. doi:https://doi.org/10.1002/stc.2155.
   Web of Science ®Google Scholar
• Yoon, H., H. Elanwar, H. Choi, M. Golparvar-Fard, and B. F. Spencer Jr. 2016. “Target-Free Approach for Vision-Based Structural System Identification Using Consumer-Grade Cameras.” Structural Control and Health Monitoring 23 (12): 1405–1416. doi:https://doi.org/10.1002/stc.1850.
   Web of Science ®Google Scholar
• Zhao, X., H. Liu, Y. Yu, Q. Zhu, W. Hu, M. Li, and J. Ou. 2016. “Displacement Monitoring Technique Using a Smartphone Based on the Laser Projection-Sensing Method.” Sensors and Actuators A: Physical 246: 35–47. doi:https://doi.org/10.1016/j.sna.2016.05.012.
   Web of Science ®Google Scholar
• Zio, E., and N. Pedroni. 2012. “Uncertainty Characterization in Risk Analysis for Decision-Making Practice.” Number 2012-07, Cahiers de la Sécurité Industrielle. Foundation for an Industrial Safety Culture: Toulouse.
   Google Scholar