000755747 000__ 05212cam\a2200529Ii\4500 000755747 001__ 755747 000755747 005__ 20230306141810.0 000755747 006__ m\\\\\o\\d\\\\\\\\ 000755747 007__ cr\cn\nnnunnun 000755747 008__ 160607s2016\\\\sz\a\\\\o\\\\\100\0\eng\d 000755747 019__ $$a951032914$$a951222071 000755747 020__ $$a9783319299563$$q(electronic book) 000755747 020__ $$a3319299565$$q(electronic book) 000755747 020__ $$z9783319299556 000755747 0247_ $$a10.1007/978-3-319-29956-3$$2doi 000755747 035__ $$aSP(OCoLC)ocn951249906 000755747 035__ $$aSP(OCoLC)951249906$$z(OCoLC)951032914$$z(OCoLC)951222071 000755747 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDXCP$$dOCLCF$$dCOO$$dEBLCP$$dAZU 000755747 049__ $$aISEA 000755747 050_4 $$aTA645 000755747 08204 $$a624.1/7$$223 000755747 1112_ $$aInternational Modal Analysis Conference$$n(34th :$$d2016 :$$cOrlando, Fla.) 000755747 24510 $$aStructural health monitoring, damage detection & mechatronics.$$nVolume 7$$h[electronic resource] :$$bproceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016 /$$cAlfred Wicks, Christopher Niezrecki, editors. 000755747 264_1 $$aCham :$$bSpringer,$$c2016. 000755747 300__ $$a1 online resource (viii, 151 pages) :$$billustrations. 000755747 336__ $$atext$$btxt$$2rdacontent 000755747 337__ $$acomputer$$bc$$2rdamedia 000755747 338__ $$aonline resource$$bcr$$2rdacarrier 000755747 4901_ $$aConference proceedings of the Society for Experimental Mechanics series,$$x2191-5644 000755747 500__ $$aInternational conference proceedings. 000755747 504__ $$aIncludes bibliographical references. 000755747 5050_ $$aPreface; Contents; Chapter 1: Development and Characterization of an ITO Nanocomposite Film Sensor for Damage Detection; 1.1 Introduction; 1.2 Surface Damage Detecting Film Nanocomposite; 1.3 Experimental Setup; 1.4 Results and Discussions; 1.4.1 Surface Damage Detection; 1.4.2 Influence of the Temperature; 1.4.3 Influence of the Humidity; 1.5 Conclusion; References; Chapter 2: Fiber Optic Sensor Arrays for Real-Time Virtual Instrumentation and Control of Flexible Structures; 2.1 Introduction; 2.2 Approach; 2.3 Finite Element Analysis; 2.4 Model Formulation 000755747 5058_ $$a2.5 FBG-IMU System Development (First Approach)2.6 Second Approach of FBG-IMU; 2.7 Results; 2.8 Conclusions and Future Work; References; Chapter 3: On the Output-Only Vibration-Based Damage Detection of Frame Structures; 3.1 Introduction; 3.2 Output-Only Vibration-Based Damage Detection Methods; 3.3 Application: Identification and Damage Detection; 3.3.1 Test Structure: Undamaged Condition; 3.3.2 Test Structure: Damaged Condition; 3.3.3 Simulation of the Structural Response; 3.4 Results and Discussion; 3.4.1 Output-Only Modal Identification; 3.4.2 Damage Detection; 3.5 Conclusions; References 000755747 5058_ $$aChapter 4: On the Influence of Sample Length and Measurement Noise on the Stochastic Subspace Damage Detection Technique4.1 Introduction; 4.2 Stochastic Subspace Damage Detection Technique; 4.2.1 Dynamic Equilibrium Equation in Discrete Time Domain; 4.2.2 Output-Only Covariance Based Subspace System Identification; 4.2.3 Residual Vector Formation; 4.2.4 Hypothesis Test; 4.2.4.1 Parametric Chi-Square Test; 4.2.4.2 Non-parametric Chi-Square Test; 4.3 Investigating the Effect of Noise and Number of Samples; 4.3.1 Effect of Number of Samples; 4.3.1.1 Effect on the Residual Covariance 000755747 5058_ $$a4.3.1.2 Effect on the chi2 Test Value4.3.2 Effect of Measurement Noise; 4.3.2.1 Equal Noise Properties Between the Reference State and Possibly Damaged State; 4.3.2.2 Different Noise Properties Between the Reference State and Possibly Damaged State; 4.4 Numerical Application; 4.4.1 Cases Study 1, Effect of Number of Samples; 4.4.2 Case Study 2, Effect of Noise with Equal Properties; 4.4.3 Case Study 3, Effect of Noise with Unequal Properties; 4.5 Discussion and Conclusion; References; Chapter 5: Quantification of Structural Damage with Self-Organizing Maps; 5.1 Introduction 000755747 5058_ $$a5.2 Qatar University Grandstand Simulator5.3 Verification of the Finite Element Model; 5.4 The SOM-Based Damage Detection Algorithm; 5.4.1 Training of the SOMs; 5.4.2 Structural Damage Assessment; 5.5 Numerical Demonstration of the Damage Detection Algorithm; 5.6 Discussion; 5.7 Conclusion; References; Chapter 6: Accuracy Enhancement of a Device for Automated Underbridge Inspections; 6.1 Introduction; 6.2 Method; 6.3 Results; 6.4 Concluding Remarks; References; Chapter 7: A Brief Overview of Mechatronics; 7.1 Introduction; 7.2 Background; 7.3 Basic Microcontroller; 7.4 Actuation; 7.5 Sensors 000755747 506__ $$aAccess limited to authorized users. 000755747 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 7, 2016). 000755747 650_0 $$aStructural health monitoring$$vCongresses. 000755747 7001_ $$aWicks, Alfred L.,$$eeditor. 000755747 7001_ $$aNiezrecki, Christopher,$$eeditor. 000755747 77608 $$iPrint version:$$tStructural health monitoring, damage detection & mechatronics. Volume 7.$$dCham, [Switzerland] : Springer, c2016$$z9783319299556$$w2016941055 000755747 830_0 $$aConference proceedings of the Society for Experimental Mechanics series,$$x2191-5644 000755747 852__ $$bebk 000755747 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-29956-3$$zOnline Access$$91397441.1 000755747 909CO $$ooai:library.usi.edu:755747$$pGLOBAL_SET 000755747 980__ $$aEBOOK 000755747 980__ $$aBIB 000755747 982__ $$aEbook 000755747 983__ $$aOnline 000755747 994__ $$a92$$bISE