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IoT-Web-Based Integrated Wireless Sensory Framework for Non-destructive Monitoring and Evaluation of On-Site Concrete Conditions

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Advances in Condition Monitoring and Structural Health Monitoring

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

This research combines the use of IoT-web-based application in monitoring the real-time conditions of concrete, to accurately evaluate the maturity of concrete samples from its fresh state, accurately predict the strength of concrete among other properties, and it provides remote access to the outputs in real-time. The predicted strength of concrete was acquired using various maturity functions based on the temperature-time history of concrete samples. Two cement types of fresh concrete were prepared, ordinary portland cement (OPC) and blast furnace slag (BB) cement, at water-cement ratio 50%. Immediately, after fresh concrete samples were cast into molds and well vibrated, the monitoring of internal average temperature commenced, and these specimens were kept under controlled curing condition over a 28-day period, and the temperature data were logged directly into the database by the IoT sensors via a mobile internet hotspot connection. Graphical outputs of temperature, concrete maturity and strength data for both concrete types were monitored remotely; presented on the programmed web-based application and was accessible for download on any internet-connected device.

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References

  1. Boddupalli C, Sadhu A, Azar ER, Pattyson S (2019) Improved visualization of infrastructure monitoring data using building information modeling. Struct Infrastruct Eng Maint Manage Life-Cycle Des Perform 15(9)

    Google Scholar 

  2. Topçu İB, Karakurt C (2018) Strength-maturity relations of concrete for different cement, types. In: Fırat S, Kinuthia J, Abu-Tair A (eds) Proceedings of 3rd international sustainable buildings symposium (ISBS 2017). ISBS 2017. Lecture Notes in Civil Engineering, vol 6. Springer, Cham

    Google Scholar 

  3. American Society for Testing and Materials (ASTM) (2004) Standard practice for estimating concrete strength by the maturity method, ASTM C 1074-04. American Society for Testing and Materials, Philadelphia, PA

    Google Scholar 

  4. Anderson KW, Uhlmeyer JS, Kinne C, Pierce LM, Muench S (2009) Use of the maturity method in accelerated PCCP construction. (Report No. WA-RD 698.1). Washington State Department of Transportation, Washington, DC

    Google Scholar 

  5. Kaburu A, Kaluli J, Kabubo C (2015) Application of the maturity method for concrete quality control. J Sustain Res Eng 2(4):127–138

    Google Scholar 

  6. Wu W et al (2015) Improving data center energy efficiency using a cyber-physical systems approach: integration of building information modeling and wireless sensor networks. Procedia Eng 118:1266–1273

    Article  Google Scholar 

  7. Chacón R, Posada H, Toledo Á, Gouveia M (2018) Development of IoT applications in civil engineering classrooms using mobile devices. Comput Appl Eng Educ 26:1769–1781. https://doi.org/10.1002/cae.21985

    Article  Google Scholar 

  8. Japan Industrial Standard (JIS A1101) (2018) Standard specifications for concrete structures-2018, ‘Design’ 2018 Edition

    Google Scholar 

  9. Eichi T, Asuo Y, Tetsuroo K, Isao U, Hideki O, Chikanori H (2002) Concrete engineering handbook. ISBN 978-4-254-26476-0. C 3351, p 77

    Google Scholar 

  10. Dan BE, Domingo CJ (1997) Prediction of creep, shrinkage, and temperature effects in concrete structures. ACI Committee Report 209R-92

    Google Scholar 

  11. ‘DjangoProject’ Documentation, 10 Oct 2018, https://www.djangoproject.com/

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Correspondence to T. Watanabe .

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Olaniyi, A.O., Watanabe, T., Umeda, K., Hashimoto, C. (2021). IoT-Web-Based Integrated Wireless Sensory Framework for Non-destructive Monitoring and Evaluation of On-Site Concrete Conditions. In: Gelman, L., Martin, N., Malcolm, A.A., (Edmund) Liew, C.K. (eds) Advances in Condition Monitoring and Structural Health Monitoring. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-9199-0_50

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  • DOI: https://doi.org/10.1007/978-981-15-9199-0_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9198-3

  • Online ISBN: 978-981-15-9199-0

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