Fuzzy Control Model for Structural Health Monitoring of Civil Infrastructure Systems

This paper presents a Fuzzy Control Model for SHM (Structural Health Monitoring) of civil infrastructure systems. Two important considerations of this model are (a) effective control of structural mechanism to prevent damage of civil infrastructure systems, and (b) energy-efficient data transmissions. Fuzzy Logic is incorporated into the model to provide (a) capability for handling imprecision and non-statistical uncertainty associated with structural monitoring, and (b) framework for effective control of the mechanism of civil infrastructure systems. Moreover, wireless smart sensors are deployed in the model to measure dynamic response of civil infrastructure systems to structural excitation. The operation of these wireless smart sensors is characterized as discounted SMDP (Semi-Markov Decision Process) consisting of two states, namely: sensing/processing and transmitting/receiving. The objective of the SMDP-based measurement scheme is to choose policy that offers optimal energy-efficient transmission of measured value of vibration-based dynamic response. Depending on the net magnitude of measured dynamic responses to excitation signals, data may (or may not) be transmitted to the Fuzzy control segment for appropriate control of the mechanism of civil infrastructure systems. The efficacy of this model is tested via numerical analysis, which is implemented in MATLAB software. It is shown that this model can provide energy-efficient structural health monitoring and effective control of civil infrastructure systems.

[1]  Ronald A. Howard,et al.  Dynamic Programming and Markov Processes , 1960 .

[2]  E. H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..

[3]  Yozo Fujino,et al.  The combined use of low-cost smart sensors and high accuracy sensors to apprehend structural dynamic behavior , 2010, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[4]  Sung-Han Sim,et al.  Wireless displacement sensing system for bridges using multi-sensor fusion , 2014 .

[5]  R. Bellman,et al.  Dynamic Programming and Markov Processes , 1960 .

[6]  Jian Li,et al.  A wireless smart sensor network for automated monitoring of cable tension , 2014 .

[7]  Adedeji B. Badiru,et al.  Neurofuzzy mathematical model for monitoring flow parameters of natural gas , 2004, Appl. Math. Comput..

[8]  Gul Agha,et al.  Flexible smart sensor framework for autonomous structural health monitoring , 2010 .

[9]  Bin Ma,et al.  Optimal multiaxial sensor placement for modal identification of large structures , 2014 .

[10]  David Olowokere,et al.  Health Monitoring and Control of Civil Infrastructures using Wireless Smart Sensors , 2014 .

[11]  Gul Agha,et al.  Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation , 2010 .

[12]  Sung-Han Sim,et al.  Automated decentralized modal analysis using smart sensors , 2010 .

[13]  Jaime Lloret,et al.  Power saving and energy optimization techniques for Wireless Sensor Networks , 2011 .

[14]  Jian Li,et al.  Hybrid wireless smart sensor network for full-scale structural health monitoring of a cable-stayed bridge , 2011, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[15]  Gul Agha,et al.  Reliable multi-hop communication for structural health monitoring , 2010 .

[16]  Sung-Han Sim,et al.  Decentralized random decrement technique for efficient data aggregation and system identification in wireless smart sensor networks , 2011 .

[17]  Bhaskar Krishnamachari,et al.  Energy‐efficient deployment strategies in structural health monitoring using wireless sensor networks , 2013 .

[18]  Miguel Garcia,et al.  Power Saving and Energy Optimization Techniques for Wireless Sensor Neworks (Invited Paper) , 2011, J. Commun..

[19]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[20]  Billie F. Spencer,et al.  Efficient campaign-type structural health monitoring using wireless smart sensors , 2012, Smart Structures.

[21]  Subhadra Shaw Bose,et al.  Energy-Efficient Routing Protocol in Wireless Sensor Network , 2012 .

[22]  Sung-Han Sim,et al.  Wireless sensor network for decentralized damage detection of building structures , 2013 .

[23]  O. Ibidapo-Obe,et al.  On Development of Fuzzy Controller: The Case of Gaussian and Triangular Membership Functions , 2011 .

[24]  Dimitrios D. Vergados,et al.  Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[25]  Hong Guan,et al.  Operational modal analysis for vibration-based structural health monitoring of civil structures , 2009 .

[26]  Gul Agha,et al.  Enabling framework for structural health monitoring using smart sensors , 2011 .

[27]  Martin L. Puterman,et al.  Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .