Analytical Model for Estimation of Maximum Normal Stress in Steel Beam-Columns Based on Wireless Measurement of Average Strains from Vibrating Wire Strain Gages

The safety of beam-column members that are subjected simultaneously to an axial load and bending moments can be monitored by measuring the maximum stress of the member. This article presents a practical method for monitoring the maximum stresses in steel beam-columns based on wireless vibrating wire strain gages (VWSGs). An analytical model is developed for estimation of the maximum normal stress in a beam-column member subjected simultaneously to an axial load and bending moments to avoid dependency on the selection of sensor locations. The analytical model is derived by defining the relationship between the maximum strain and average strains measured wirelessly from vibrating wire strain gages. The performance of the estimation model is evaluated by comparing the maximum strains directly obtained from electrical strain gages and the estimated maximum strains from the model. A practical monitoring of the maximum stress in steel beam-columns is made possible by measuring three average strains at arbitrary locations using the model presented in the article.

[1]  Feng Yu,et al.  An efficient model for improving performance of vibrating-wire instruments , 2005 .

[2]  Hojjat Adeli,et al.  Dynamic fuzzy wavelet neuroemulator for non‐linear control of irregular building structures , 2008 .

[3]  Hojjat Adeli,et al.  Neuro‐genetic algorithm for non‐linear active control of structures , 2008 .

[4]  Gangbing Song,et al.  Recent applications of fiber optic sensors to health monitoring in civil engineering , 2004 .

[5]  Wellington Pinheiro dos Santos,et al.  An adaptive fuzzy-based system to simulate, quantify and compensate color blindness , 2017, Integr. Comput. Aided Eng..

[6]  Hojjat Adeli,et al.  Monitoring the behavior of steel structures using distributed optical fiber sensors , 2000 .

[7]  Hyo Seon Park,et al.  Mathematical models for assessment of the safety of steel beams based on average strains from long gage optic sensors , 2006 .

[8]  Nicholas Fisco,et al.  Smart structures: Part I—Active and semi-active control , 2011 .

[9]  Nicholas Fisco,et al.  Smart structures: Part II — Hybrid control systems and control strategies , 2011 .

[10]  Han Ji,et al.  A Wireless Sensor Network‐Based Structural Health Monitoring System for Highway Bridges , 2013, Comput. Aided Civ. Infrastructure Eng..

[11]  Enrico Zio,et al.  Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components , 2011, Integr. Comput. Aided Eng..

[12]  Zhi Zhou,et al.  Structural Health Monitoring System for the Shandong Binzhou Yellow River Highway Bridge , 2006, Comput. Aided Civ. Infrastructure Eng..

[13]  H. Adeli,et al.  Parallel Eigenvalue Algorithms for Large-Scale Control-Optimization Problems , 1996 .

[14]  Hojjat Adeli,et al.  Wavelet-Hybrid Feedback Linear Mean Squared Algorithm for Robust Control of Cable-Stayed Bridges , 2005 .

[15]  Aamir Mahmood,et al.  A Synchronized Wireless Sensor Network for Experimental Modal Analysis in Structural Health Monitoring , 2011, Comput. Aided Civ. Infrastructure Eng..

[16]  Hojjat Adeli,et al.  Time‐Frequency Signal Analysis of Earthquake Records Using Mexican Hat Wavelets , 2003 .

[17]  Hyo Seon Park,et al.  Analytical models for assessment of the safety of multi-span steel beams based on average strains from long gage optic sensors , 2007 .

[18]  Hojjat Adeli,et al.  Optimal Control of Adaptive/Smart Multistory Building Structures , 1998 .

[19]  Zongmin Ma,et al.  Comparison of entity with fuzzy data types in fuzzy object-oriented databases , 2012, Integr. Comput. Aided Eng..

[20]  Chih-Min Lin,et al.  Adaptive Control for MIMO uncertain nonlinear Systems Using Recurrent Wavelet Neural Network , 2012, Int. J. Neural Syst..

[21]  H. M. Lee,et al.  Gage‐Free Stress Estimation of a Beam‐like Structure Based on Terrestrial Laser Scanning , 2011, Comput. Aided Civ. Infrastructure Eng..

[22]  Sankaran Mahadevan,et al.  Bayesian wavelet packet denoising for structural system identification , 2007 .

[23]  Hojjat Adeli,et al.  Wavelet energy spectrum for time‐frequency localization of earthquake energy , 2003, Int. J. Imaging Syst. Technol..

[24]  Uwe Reuter.  A fuzzy approach for modelling non-stochastic heterogeneous data in engineering based on cluster analysis , 2011, Integr. Comput. Aided Eng..

[25]  Zongmin Ma,et al.  Extracting knowledge from fuzzy relational databases with description logic , 2011, Integr. Comput. Aided Eng..

[26]  H. Adeli,et al.  Dynamic Fuzzy Wavelet Neural Network Model for Structural System Identification , 2006 .

[27]  Jing Wang,et al.  A wavelet-based particle swarm optimization algorithm for digital image watermarking , 2012, Integr. Comput. Aided Eng..

[28]  Hojjat Adeli,et al.  WIND-INDUCED MOTION CONTROL OF 76-STORY BENCHMARK BUILDING USING THE HYBRID DAMPER-TLCD SYSTEM , 2005 .

[29]  Peng Zhang,et al.  Stress Development of a Supertall Structure during Construction: Field Monitoring and Numerical Analysis , 2011, Comput. Aided Civ. Infrastructure Eng..

[30]  Zhishen Wu,et al.  Vibration‐Based Damage Localization in Flexural Structures Using Normalized Modal Macrostrain Techniques from Limited Measurements , 2011, Comput. Aided Civ. Infrastructure Eng..

[31]  Wolfgang Graf,et al.  Recurrent neural networks for fuzzy data , 2011, Integr. Comput. Aided Eng..

[32]  S. Shokat,et al.  電界応答性キトサン-ポリ(N,N-ジメチルアクリルアミド)セミIPNゲル膜およびそれらの誘電,熱および膨潤キャラクタリゼーション , 2013 .

[33]  Karim Chatti,et al.  Toward an Integrated Smart Sensing System and Data Interpretation Techniques for Pavement Fatigue Monitoring , 2011, Comput. Aided Civ. Infrastructure Eng..

[34]  Matthew J. Whelan,et al.  Wireless Monitoring of a Multispan Bridge Superstructure for Diagnostic Load Testing and System Identification , 2011, Comput. Aided Civ. Infrastructure Eng..

[35]  Meng Joo Er,et al.  A Novel Efficient Learning Algorithm for Self-Generating Fuzzy Neural Network with Applications , 2012, Int. J. Neural Syst..

[36]  Jo Woon Chong,et al.  Wavelet-based AR–SVM for health monitoring of smart structures , 2012 .

[37]  Hojjat Adeli,et al.  WAVELET-HYBRID FEEDBACK-LEAST MEAN SQUARE ALGORITHM FOR ROBUST CONTROL OF STRUCTURES , 2004 .

[38]  Hojjat Adeli,et al.  Algorithms for chattering reduction in system control , 2012, J. Frankl. Inst..

[39]  H. Adeli,et al.  Optimal control of adaptive building structures under blast loading , 1998 .

[40]  Bogdan Codres,et al.  Nonlinear System Identification and Control Based on Modular Neural Networks , 2011, Int. J. Neural Syst..

[41]  Xin Jiang,et al.  Crack Detection from the Slope of the Mode Shape Using Complex Continuous Wavelet Transform , 2012, Comput. Aided Civ. Infrastructure Eng..

[42]  Hongjin Kim,et al.  HYBRID FEEDBACK-LEAST MEAN SQUARE ALGORITHM FOR STRUCTURAL CONTROL , 2004 .

[43]  Hyo Seon Park,et al.  A wireless vibrating wire sensor node for continuous structural health monitoring , 2010 .

[44]  Hojjat Adeli,et al.  Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis , 2004 .

[45]  Hojjat Adeli,et al.  Hybrid Control of Smart Structures Using a Novel Wavelet‐Based Algorithm , 2005 .

[46]  H. Adeli,et al.  Robust Parallel Algorithms for Solution of Riccati Equation , 1997 .

[47]  Hojjat Adeli,et al.  System identification in structural engineering , 2012 .

[48]  Wei Zhang,et al.  Health Monitoring of Rehabilitated Concrete Bridges Using Distributed Optical Fiber Sensing , 2006, Comput. Aided Civ. Infrastructure Eng..

[49]  Hojjat Adeli,et al.  Parallel algorithms for integrated structural/control optimization , 1994 .

[50]  Zongmin Ma,et al.  Incorporating fuzzy information into the formal mapping from web data model to extended entity-relationship model , 2012, Integr. Comput. Aided Eng..

[51]  Hojjat Adeli,et al.  Neural Network-Wavelet Microsimulation Model for Delay and Queue Length Estimation at Freeway Work Zones , 2006 .

[52]  Hojjat Adeli,et al.  A New Approach for Health Monitoring of Structures: Terrestrial Laser Scanning , 2007, Comput. Aided Civ. Infrastructure Eng..

[53]  Hojjat Adeli,et al.  Integrated structural/control optimization of large adaptive/smart structures , 1998 .

[54]  H Adeli,et al.  Optimal Control of Adaptive/Smart Bridge Structures , 1997 .

[55]  Hojjat Adeli,et al.  Dynamic Wavelet Neural Network for Nonlinear Identification of Highrise Buildings , 2005 .

[56]  Hojjat Adeli,et al.  Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildings , 2007 .

[57]  Hojjat Adeli,et al.  Hybrid control of irregular steel highrise building structures under seismic excitations , 2005 .