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[1] Winston, P.H., Artificial Intelligence, 2nd edn., Addison-Wesley Publishing Company, Inc.: USA, 1984.
[2] Minsky, M. & Papert, S., Preceptrons: Expanded Edition, MIT Press: Cambridge, MA, 1988.
[3] Abelson, H., Sussman, G.J. & Sussman, J., Structure and Interpretation of Computer Programs, MIT Press: Cambridge, MA, 1985. doi: [Crossref]
[4] Connor, J.J., Niedzwecki, J.M. & Guo, R.S., Intelligent mesh design for discrete element analysis, Artificial Intelligence in Engineering Conference, MIT: Cambridge, MA, 1987.
[5] Chehayeb, F., Niedzwecki, J.M., & Connor, J.J., A knowledge based approach to innovative design. Artificial Intelligence in Engineering Conference, MIT: Cambridge, MA, 1987. doi: [Crossref]
[6] Chehayeb, F., Connor, J.J. & Niedzwecki, J.M., Innovative engineering design. Microcomputers in Civil Engineering, 4(1), pp. 1–9, 1989. doi: [Crossref]
[7] Niedzwecki, J.M. & Earles, J., Strategy for design of intelligent tutoring systems. ASCE Journal of Computing in Civil Engineering, 5(2), pp. 211–229, 1991. doi: [Crossref]
[8] Niedzwecki, J.M. & Rijken, O.R., Preliminary design of Tension Leg Platforms using a knowledge based approach. ASCE Ocean’s V, 1, pp. 288–293, 1992.
[9] Connor, J.J. & Faraji, S., Fundamentals of Structural Engineering, Springer International Publishing: New York, 2013.
[10] Connor, J.J. & LaFlamme, S., Structural Motion Engineering, Springer International Publishing: New York, 2014.
[11] Coley, D.A., An Introduction to Genetic Algorithms for Scientists and Engineers, World Scientific: New Jersey, 2005.
[12] Fang, S.M., Structural Response Evaluation Using Non-uniform Sensor Arrays, Dissertation, Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, 2013.
[13] Fu, S., Ren, T., Li, R. & Wang, X., Experimental investigation on VIV of the flexible model under full scale Re number. Proc. Offshore Mechanics and Arctic Engineering, No. 49042, 2011. doi: [Crossref]
[14] Li, L., Fu, S., Yang, J., & Ren, T., Experimental investigation on VIV of risers with staggered buoyancy. Proc. Offshore Mechanics and Arctic Engineering, No. 49046, 2011. doi: [Crossref]
[15] Niedzwecki, J.M. & Fang, S.M., Suppression of flow-induced vibrations using ribbon fairings. Journal of Computational Methods and Experimental Measurements, 1(4), pp. 395–405, 2013. doi: [Crossref]
[16] Fang, S.M. & Niedzwecki, J.M., Comparison of airfoil and ribbon fairings for suppression of flow-induced vibrations. Journal of Computational Methods and Experimental Measurements, 2(1), pp. 30–45, 2014. doi: [Crossref]
[17] Fang, S.M., Niedzwecki, J.M., Fu, S., Li, R. & Yang, J., VIV response of a flexible cylinder with varied coverage by buoyancy elements and helical strakes. Marine Structures, 39, pp. 70–89, 2014. doi: [Crossref]
[18] Niedzwecki, J.M. & Fang, S.M., Hydrodynamic response of ribbon fairing. Proc. Oceans 2013 MTS/IEEE, San Diego, CA, 2013.
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Acadlore takes over the publication of IJCMEM from 2025 Vol. 13, No. 3. The preceding volumes were published under a CC BY 4.0 license by the previous owner, and displayed here as agreed between Acadlore and the previous owner. ✯ : This issue/volume is not published by Acadlore.

Open Access
Research article

Sensor Placement on Slender Structural Systems

J. M. Niedzwecki,
S. M. Fang
Zachry Department of Civil Engineering, Texas A&M University, College Station, Texas
International Journal of Computational Methods and Experimental Measurements
|
Volume 3, Issue 1, 2015
|
Pages 13-20
Received: N/A,
Revised: N/A,
Accepted: N/A,
Available online: N/A
View Full Article|Download PDF

Abstract:

There have been many interesting technical ideas and parallels in thinking that have resulted from the technical discussions that I have had with Professor Jerome J. Connor since 1986. This brief article provides a context and reflects upon his mentorship, which helped shape the thinking of a then young professor from another University, and on the impact that Professor Connor has had on his students and others beyond the halls of MIT’s Building 1. The optimization topic presented here provides an example of that influence. Extracting the desired response information from an instrumented slender structure, while minimizing the number of sensors, is a challenging problem requiring well-defined objectives that can be used in an optimization process. In this study, a methodology that builds upon a Genetic Algorithm optimization procedure is used to investigate sensor placement needed to recover specific vibration modes. Data recorded from an experiment investigating the flow-induced vibration of a smooth horizontally towed cylinder is used to explore the optimization process and subtleties associated with its application subject to single or multiple objectives and gaps in sensor data due to several possible constraints. The use of the Paterno Front Method and the difficulty in accurately capturing higher modes are addressed.

Keywords: Fiber optic sensors, Genetic algorithm, Intelligent system design, Mode recovery, Multiple sensors, Optimization, Slender structures

1. Introduction

2. Methodology

3. Numerical Simulations

4. Summary and Conclusion

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Acknowledgments

The legacy of Professor Connor I believe is best summed up as his deep intellectual pursuit of emerging topics in science and engineering that through his leadership have led to innovative thinking on course work development, graduate education and the professional practice of civil engineering. The number of graduate students and colleagues that he has influenced during his long career at MIT is both extraordinary and expletory.

It is with great admiration and friendship that his former colleague at MIT, Professor Kenneth F. Reinschmidt wrote:

‘Unfortunately, in 50 years the stories have become less focused and definitely less meaningful to those who weren’t there. (Although I do remember promising Jerry that I would advance the profession by not going into Engineering Mechanics). Although memories fade, it is the purpose of events like these today to revive and refresh these memories and our interpretations of what was going on and how we could improve it. The best summary I can think of I actually got from Chris Holley in a corridor discussion in Building 1: that we stayed at MIT not because MIT was ranked Number 1, but because MIT was where the action was. Looking back over those years I think we were privileged to be where the action was or close to it, pretty much all of the time. And wherever the action was, there was Jerry.’

His former student Dr David N. Ford, who was also unable to attend the retirement events, wrote:

‘Jerry Connor saved me on my path to my PhD. After passing my qualifying exam I unexpectedly found myself without an advisor and with few alternatives. This was one of my most anxious times. Professor Connor’s stature in the department and reputation among the PhD students for fair and unbiased treatment led me to ask him for advice on how to proceed. He calmed my fears and pointed me to parts of MIT outside the Civil Engineering Department and in the direction that would (eventually) lead to the successful completion of my degree. Despite the fact that I was not, and would never be, focused on structures, he also accepted the role of chair of my committee and shepherded me through the remainder of my work at MIT. Professor Connor’s unselfish service to me as a PhD student when I needed it most is part of the best of what MIT is and can be. I am deeply indebted and grateful.’

Finally, I wish to personally express my thanks to Professor Connor for our many memorable discussions over the years. Also, I would be remiss if I didn’t express the sincere appreciation of Mary and our family to both Jerry and his wife Barbara for their many kindnesses, down to earth exchanges and the fond memories of just plain fun we have experienced together.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References
[1] Winston, P.H., Artificial Intelligence, 2nd edn., Addison-Wesley Publishing Company, Inc.: USA, 1984.
[2] Minsky, M. & Papert, S., Preceptrons: Expanded Edition, MIT Press: Cambridge, MA, 1988.
[3] Abelson, H., Sussman, G.J. & Sussman, J., Structure and Interpretation of Computer Programs, MIT Press: Cambridge, MA, 1985. doi: [Crossref]
[4] Connor, J.J., Niedzwecki, J.M. & Guo, R.S., Intelligent mesh design for discrete element analysis, Artificial Intelligence in Engineering Conference, MIT: Cambridge, MA, 1987.
[5] Chehayeb, F., Niedzwecki, J.M., & Connor, J.J., A knowledge based approach to innovative design. Artificial Intelligence in Engineering Conference, MIT: Cambridge, MA, 1987. doi: [Crossref]
[6] Chehayeb, F., Connor, J.J. & Niedzwecki, J.M., Innovative engineering design. Microcomputers in Civil Engineering, 4(1), pp. 1–9, 1989. doi: [Crossref]
[7] Niedzwecki, J.M. & Earles, J., Strategy for design of intelligent tutoring systems. ASCE Journal of Computing in Civil Engineering, 5(2), pp. 211–229, 1991. doi: [Crossref]
[8] Niedzwecki, J.M. & Rijken, O.R., Preliminary design of Tension Leg Platforms using a knowledge based approach. ASCE Ocean’s V, 1, pp. 288–293, 1992.
[9] Connor, J.J. & Faraji, S., Fundamentals of Structural Engineering, Springer International Publishing: New York, 2013.
[10] Connor, J.J. & LaFlamme, S., Structural Motion Engineering, Springer International Publishing: New York, 2014.
[11] Coley, D.A., An Introduction to Genetic Algorithms for Scientists and Engineers, World Scientific: New Jersey, 2005.
[12] Fang, S.M., Structural Response Evaluation Using Non-uniform Sensor Arrays, Dissertation, Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, 2013.
[13] Fu, S., Ren, T., Li, R. & Wang, X., Experimental investigation on VIV of the flexible model under full scale Re number. Proc. Offshore Mechanics and Arctic Engineering, No. 49042, 2011. doi: [Crossref]
[14] Li, L., Fu, S., Yang, J., & Ren, T., Experimental investigation on VIV of risers with staggered buoyancy. Proc. Offshore Mechanics and Arctic Engineering, No. 49046, 2011. doi: [Crossref]
[15] Niedzwecki, J.M. & Fang, S.M., Suppression of flow-induced vibrations using ribbon fairings. Journal of Computational Methods and Experimental Measurements, 1(4), pp. 395–405, 2013. doi: [Crossref]
[16] Fang, S.M. & Niedzwecki, J.M., Comparison of airfoil and ribbon fairings for suppression of flow-induced vibrations. Journal of Computational Methods and Experimental Measurements, 2(1), pp. 30–45, 2014. doi: [Crossref]
[17] Fang, S.M., Niedzwecki, J.M., Fu, S., Li, R. & Yang, J., VIV response of a flexible cylinder with varied coverage by buoyancy elements and helical strakes. Marine Structures, 39, pp. 70–89, 2014. doi: [Crossref]
[18] Niedzwecki, J.M. & Fang, S.M., Hydrodynamic response of ribbon fairing. Proc. Oceans 2013 MTS/IEEE, San Diego, CA, 2013.
Cite this:
APA Style
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GB-T-7714-2015
Niedzwecki, J. M. & Fang, S. M. (2015). Sensor Placement on Slender Structural Systems. Int. J. Comput. Methods Exp. Meas., 3(1), 13-20. https://doi.org/10.2495/CMEM-V3-N1-13-20
J. M. Niedzwecki and S. M. Fang, "Sensor Placement on Slender Structural Systems," Int. J. Comput. Methods Exp. Meas., vol. 3, no. 1, pp. 13-20, 2015. https://doi.org/10.2495/CMEM-V3-N1-13-20
@research-article{Niedzwecki2015SensorPO,
title={Sensor Placement on Slender Structural Systems},
author={J. M. Niedzwecki and S. M. Fang},
journal={International Journal of Computational Methods and Experimental Measurements},
year={2015},
page={13-20},
doi={https://doi.org/10.2495/CMEM-V3-N1-13-20}
}
J. M. Niedzwecki, et al. "Sensor Placement on Slender Structural Systems." International Journal of Computational Methods and Experimental Measurements, v 3, pp 13-20. doi: https://doi.org/10.2495/CMEM-V3-N1-13-20
J. M. Niedzwecki and S. M. Fang. "Sensor Placement on Slender Structural Systems." International Journal of Computational Methods and Experimental Measurements, 3, (2015): 13-20. doi: https://doi.org/10.2495/CMEM-V3-N1-13-20
NIEDZWECKI J M， FANG S M. Sensor Placement on Slender Structural Systems[J]. International Journal of Computational Methods and Experimental Measurements， 2015， 3(1)： 13-20. https://doi.org/10.2495/CMEM-V3-N1-13-20