An Automatic Load Detector Design to Determine the Strength of Pedestrian Bridges Using Load Cell Sensor Based on Arduino

Kurnia Paranita Kartika Riyanti; Ismail Kakaravada; Abdussalam Ali Ahmed

doi:10.35882/ijeeemi.v4i1.3

Kurnia Paranita Kartika Riyanti Universitas Islam Balitar
Ismail Kakaravada Department of Mechanical Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, India
Abdussalam Ali Ahmed Department of Mechanical and Industrial Engineering, Bani Waleed University, Libya

DOI: https://doi.org/10.35882/ijeeemi.v4i1.3

Keywords: Load Cell HX711, Auto Detector, Arduino, Bridge Strength

Abstract

The basic requirement that must be met in the construction of a bridge is the resilience. This resilience depends upon the supporting of bridge when the load that passes over the bridge. Loading condition on bridge is generally in the form of dynamic which can vary according to crossing conditions on it. This reason validates in difficulties in estimation the lifetime of the bridge. In order to maintain the good condition of the bridge the estimation of overloading condition and its effects of over loading on bridge need to evaluate to keep the bridge durable for that a bridge load measuring detector is needed. The aim of this research is to design an automatic load detector to test the strength of the bridge at dynamic loading conditions. The load detector designed through an Arduino-based load cell sensor. The detector equipped with I2C LCD display mechanism which can display the load on bridge and buzzer switch with warning alarm which can alert when bridge is over loaded. The total sensor mechanism was tested on a miniature wooden bridge with selected loads. During testing, the detector load cell sensors placed at the bottom of the bridge surface with a running load, the readings are considered recorded for several load cells at dynamic loading conditions. In the research work was carried out on the bridge using various load ranges from 100 grams to 25 kilograms on load cells at various positions. From the experimentation it has been noticed that, the load cell has displayed the smaller value as compared with the actual value due to the load distribution over the bridge structure. From the experimental data it is noticed that the average error rate 4.67%, hence the developed sensor system more suitable for practical application to evaluate the damage of the bridge. It also concluded that, the detector is more effective in evaluation of dynamic loading condition to prevent damage of bridge.

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References

S. A. Putra, B. R. Trilaksono, M. Riyansyah and D. S. Laila, "Multiagent Architecture for Bridge Capacity Measurement System Using Wireless Sensor Network and Weight in Motion," IEEE Transactions on Instrumentation and Measurement, pp. 1-14, 2021.

S. Clonts, L. Cooley and P. Freitag, "Virginia Bridge Deterioration Factors," Systems and Information Engineering Design Symposium (SIEDS), vol. 10, no. 1109/SIEDS.2019.8735618., pp. 1-5, 2019.

H. Jun, W. Qin, Z. Chang Jun and C. Dai Ping, "Research on reasonable structure forms of pedestrian suspension bridges," International Conference on Electric Technology and Civil Engineering (ICETCE), vol. 10, no. 1109/ICETCE.2011.5775879, pp. 613-616, 2011.

A. M. Chyad, O. Abudayyeh, F. Zakhil and O. Hakimi, "Deterioration Rates of Concrete Bridge Decks in Several Climatic Regions," IEEE International Conference on Electro/Information Technology (EIT), vol. 10.1109/EIT.2018.8500, pp. 65-68, 2018.

J. Avendano, L. D. Otero and C. Otero, "Optimization of Sensor Placement in a Bridge Structural Health Monitoring System," IEEE International Systems Conference (SysCon), vol. 10.1109/SysCon48628.2021.9447077., pp. 1-5, 2021.

X. Zhuang, L. Zhang, M. Fang and H. Wang, "An Embedded System of Bridge Stress Monitoring Based on ARM9 and Zigbee," International Conference on Electrical and Control Engineering, vol. 10.1109/iCECE.2010.1211., pp. 5007-5010, 2010.

A. Rahman, S. Kamal and A. Islam, "Bridge Strength Preservation by Automatic Traffic Density Control: an IoT Application," 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), vol. 10.1109/ICASERT.2019.8934520, pp. 1-5, 2019.

J. Huang, H. Ogai, C. Shao, J. Zheng, I. Maruyama and S. Nagata, "On vibration signal analysis in Bridge Health Monitoring System by using Independent Component Analysis," Proceedings of SICE Annual Conference 2010, pp. 2122-2125, 2010.

S. A. Putra, B. R. Trilaksono, M. Riyansyah and D. S. Laila, "Intelligent Sensing in Multiagent-Based Wireless Sensor Network for Bridge Condition Monitoring System," IEEE Internet of Things Journal, vol. 6, no. 3, pp. 5397-5410, 2019.

P. Patil and S. Patil, "Structural health monitoring system using WSN for bridges," International Conference on Intelligent Computing and Control Systems (ICICCS), vol. 10.1109/ICCONS.2017.8250746, pp. 371-375, 2017.

J. Purdum, "Beginning C for Arduino," in earn C Programming for the Arduino., 2015.

AASHTO, "Bridge Design Specifications," in Bridge Design Specifications 6th Edition, Washington, AASHTO, 2012.

Z. Chang-Zun, C. Dai-Ping, Q. Xiao and Z. Chang-Sheng, "Research on loads and performance of Guangyuan mountainous pedestrian suspension bridges," International Conference on Electric Technology and Civil Engineering (ICETCE), vol. 10.1109/ICETCE.2011.5774261, pp. 2510-2513, 2011.

W. Y. Song, S. H. Rho and Y. K. Kwag, "Automatic bridge detection scheme using CFAR detector in SAR images," 3rd International Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), pp. 1-4, 2011.

B. Zhen and F. Han, "A study for the lateral vibration of the cable-stay bridge induced by pedestrians," International Conference on Electric Technology and Civil Engineering (ICETCE), vol. 10.109/ICETCE.2011.5775319., pp. q903-1906, 2011.

W. Q. Z. C.-j. C. D.-p. Q. X. a. Z. C.-s. Hu Jun, "Research on reasonable structure forms of pedestrian suspension bridges," International Conference on Electric Technology and Civil Engineering (ICETCE), vol. 10.1109/ICETCE.2011.5775879, pp. 613-616, 2011.

B. Z. Yong Xu， Zhixiang Zhou, "Electrical and Mechanical Character of Smart Film for Crack Monitoring of Concrete Bridges," Southwest Jiaotong University, Chongqing, 2010.

Y. Li, H. Wei, Z. Guo and B.-C. Chen, "Design and implement of the urban bridge cluster monitoring system," International Conference on Electrical and Control Engineering, vol. 10.1109/ICECENG.2011.6057589., pp. 2107-2110, 2011.

T. R. Lydon, "Development of a Bridge Weighted In Motion Sensor: Performance Comparison using Fiber Optic and Electric Resistance Strain Sensor Sistem," IEEE Sensor Jurnal, vol. 14, no. 12, pp. 4284-4296, 2014.

A. Wahab and D. Roeck, "Damage Detection in Bridges Using Modal Curvatures: Application to A Real Damage Scenario," Journal of Sound and Vibration, vol. 226, no. 2, pp. 217-235, 1999.

T. Dutta, "Damage Detection in Bridges Using Accurate Modal parameters," Finite Elements in Analysis and Design, vol. 40, pp. 287-304, 2002.

A. A. T. E. M. H. A. d. A. B. ". A. B. Noe, "Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey," IEEE Communicatuon Surveys and Tutorials, vol. 19, no. 3, pp. 1403-1423 , 2017.

P. S. T. Pievanelli, "Dynamic wireless sensor networks for real time safeguard of workers exposed to physical agents in constructions sites," IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet, vol. 10.1109/Wisnet.2013, pp. 55-57, 2013.

M. Kumar, K. Pattanaik, B. Yadav and R. Herma, "Optimization of Wireless Sensor Networks inspired by Small World Phenomenon," IEEE 10th International Conference on Industrial and Information Systems (ICIIS), vol. 10.1109/ICIINFS.2015, pp. 66-70, 2015.

Z. Xu and Z. Wu, "Energy Damage Detection Strategy Based on Acceleration Responses for Long-Span Bridge Structures," Engineering Structures, vol. 29, no. 4, pp. 609-617, 2007.