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[null,"1.","Record Nr.",null,"UNINA9910966106403321"]
[null,null,"Titolo",null,"Resilience of civil infrastructure systems : developments in testing, sensing, monitoring, and control / / edited by Jian Zhang, Zhishen Wu and Mohammad Noori"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, FL : , : CRC Press, , 2021"]
[null,null,"ISBN",null,"1-00-309056-7"]
[{"$nulls":4},"1-003-09056-7"]
[{"$nulls":4},"1-000-17865-X"]
[{"$nulls":4},"1-000-17869-2"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (611 pages)"]
[null,null,"Collana",null,"Taylor and Francis series in resilience and sustainability in civil, mechanical, aerospace and manufacturing engineering systems"]
[null,null,"Disciplina",null,"621.811"]
[{"$nulls":4},"624.176"]
[null,null,"Soggetti",null,"Vibration - Testing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Editors -- Contributors -- Chapter 1 Wavelet-Based Damage-Sensitive Features Extraction -- 1.1 Introduction -- 1.2 Data Preprocessing -- 1.2.1 Feature Detection and Extraction -- 1.2.2 Statistical Model Formulation -- 1.2.3 Scale Selection -- 1.2.4 Feature Damage Index Identification Based Wavelet -- 1.3 Numerical Simulation and Results: Discussion -- 1.4 Conclusions -- References -- Chapter 2 Deep Learning for Automated Damage Detection: A Novel Algorithm in CNN Family for Faster and Accurate Damage Identification -- 2.1 Introduction -- 2.2 Deep Learning Based Approaches for Image Classification and Object Detection -- 2.2.1 Deep Learning for Image Classification -- 2.3 Methodology -- 2.4 Conclusions -- Acknowledgements -- References -- Chapter 3 Seismic Protection of Cultural Relics Using Three-Dimensional Base-Isolation System -- 3.1 Introduction -- 3.2 Input Ground Motions -- 3.3 Finite Element Models -- 3.4 Response History Analyses -- 3.4.1 Overturn -- 3.4.2 Sliding -- 3.5 Conclusions -- Acknowledgment -- References -- Chapter 4 Combined Actuator-Shake Table Test with Optimized Input Energy -- 4.1 Introduction -- 4.2 Equations of Motion of the Experimental SDF Model -- 4.3 The "]
[{"$nulls":4},"Testing Power -- 4.4 Procedures for Dividing the Ground Motion between the Shake Table and Actuators -- 4.4.1 Dividing in Time Domain -- 4.4.2 Dividing in Frequency Domain -- 4.4.3 Dynamic Optimization -- 4.5 Extending to Multi Degree of Freedom (MDF) Models -- 4.6 Numerical Calculations -- 4.7 Conclusions -- References -- Chapter 5 Design Spectra for Structures Subjected to Passing Underground Trains -- 5.1 Introduction -- 5.2 Specifications of the Trains -- 5.2.1 The Selected Trains -- 5.2.2 The Suspension System."]
[{"$nulls":4},"5.2.2.1 Dynamical Model of the Secondary Suspension System -- 5.2.2.2 Dynamical Model of the Main Suspension System -- 5.3 The Loading Pattern -- 5.4 The 3D Model of the Soil-Tunnel System -- 5.4.1 Modeling of the Components -- 5.4.2 The Output -- 5.5 The Calculated Spectra -- 5.5.1 Introduction -- 5.5.2 The Numerical Results -- 5.6 Conclusions -- References -- Chapter 6 Frequency-Domain Fast Maximum Likelihood Estimation of Complex Modes -- 6.1 Introduction -- 6.2 Problem Formulation -- 6.2.1 The Deterministic Model -- 6.2.2 The Probabilistic Model -- 6.3 ML Estimation -- 6.4 EM Algorithm -- 6.5 Field Test -- 6.6 Conclusion -- Acknowledgements -- References -- Chapter 7 A Full Version of Vision-Based Structural Identification -- 7.1 Introduction -- 7.2 Methodology -- 7.2.1 Vision-Based Structural Input Estimation -- 7.2.2 Vision-Based Structural Output Estimation -- 7.2.3 Extract UIL from Structural Input and Output -- 7.3 Experimental Verification -- 7.3.1 Experimental Setup -- 7.3.2 Result Analysis -- 7.4 Conclusions -- References -- Chapter 8 Damage Recognition of Wood Beam Based on Curvature Modal Technology -- 8.1 Introduction -- 8.2 Feasibility Analysis of Curvature Modal Based Wood Beam Damage Identification -- 8.2.1 Feasibility Analysis Process -- 8.2.2 Finite Element Analysis Model -- 8.2.3 Analysis of the Relationship between Curvature Mode and Damage Degree of Wooden Beam Model with Different Damage Degrees at a Single Site -- 8.2.4 Analysis of the Relationship between the Curvature Mode and the Damage Location of the Wooden Beam Model at Different Damage Locations -- 8.3 Theoretical Derivation of Damage Degree of Wooden Beams Based on Curvature Mode -- 8.3.1 Basic Assumptions -- 8.3.2 Expression of Lateral Displacement of Beam Free Vibration under Different Supporting Conditions."]
[{"$nulls":4},"8.3.2.1 Displacement Equation for Free Vibration of a Simple Supported Beam -- 8.3.2.2 Displacement Equation for Free Vibration of the Fixed Support Beam -- 8.3.3 The Expression Derivation of Damage Degree of a Wooden Beam under Different Supporting Conditions -- 8.3.4 Verification of Finite Element Example -- 8.4 Modal Test and Data Analysis -- 8.4.1 Test Overview -- 8.4.1.1 Modal Test Equipment -- 8.4.1.2 Preparation of Test Specimen -- 8.4.2 Test Preparation and Test Design -- 8.4.2.1 Test Specimen Support Method and Measuring Point Arrangement -- 8.4.2.2 Selection of Excitation Pattern -- 8.4.3 Test Results and Data Processing -- 8.4.3.1 Analysis of Curvature Modal of Specimen -- 8.4.3.2 Verification of Damage Degree Determination Formula -- 8.5 Conclusions -- References -- Chapter 9 Validation of Proposed SHM Model Based on Inverse Dynamic Approach with Limited Noisy Dynamic Responses by Experimental Study -- 9.1 Introduction -- 9.1.1 Theoretical Formulation -- 9.1.2 Experimental Example -- 9.2 Conclusions -- References -- Chapter 10 Grouting Compactness Assessment in Post-Tensioning Tendon Ducts Using Piezoceramic Transducers and Wavelet Packet Analysis -- 10.1 Introduction -- 10.2 Methodology -- 10.2.1 Piezoelectric Effect and SA Transducers -- 10.2.2 Wavelet Packet-Based Analysis -- 10.2.3 Detection Principle -- 10.3 Experimental Equipment and Procedures -- 10.3.1 Experimental Equipment -- 10.3.2 Experimental Procedure -- "]
[{"$nulls":4},"10.4 Experimental Results and Analysis -- 10.4.1 Time-Domain Analysis -- 10.4.2 Wavelet Packet-Based Energy Analysis -- 10.5 Conclusion and Perspective -- References -- Chapter 11 The Analysis of the Temperature Effect on Frequencies of a Footbridge -- 11.1 Introduction -- 11.2 Quantitative Analysis of the Effect of Temperature on Frequency -- 11.2.1 Elastic Modulus -- 11.2.2 Boundary Condition -- 11.2.3 Axial Force."]
[{"$nulls":4},"11.3 The Continuous Dynamic Monitoring System in a Footbridge -- 11.4 The Analysis of the Effect of Temperature on Frequency in a Footbridge -- 11.5 Conclusion -- References -- Chapter 12 Numerical Simulation of Precast Concrete Structure with Cast-In-Situ Monolithic Joint -- 12.1 Introduction -- 12.2 Research Object -- 12.3 Numerical Simulation of an Interface Model of Post-Pouring Zone of Precast Members -- 12.3.1 Mechanisms of Interface Stress in Post-Pouring Zone of Prefabricated Components -- 12.3.2 Interface Model of Post-Pouring Zone of Prefabricated Components -- 12.4 Finite Element Simulation -- 12.4.1 Material Constitution -- 12.4.2 Establishment of Finite Element Model -- 12.5 Analysis of Model Results -- 12.5.1 Simulation Method of Stiffness Reduction -- 12.5.2 Simulation Method of Strength Change -- 12.5.3 Test Verification -- 12.6 Conclusion -- References -- Chapter 13 Simulation Analysis of a Bridge with a Nonlinear Tuned Mass Damper Using Incremental Harmonic Balance Method -- 13.1 General Instructions -- 13.2 Modeling of the Nonlinear TMD Bridge Under Periodic Moving Forces -- 13.3 Application of IHBM to Analyze the Equations of Motion -- 13.4 Investigation of Parameter Influence on Dynamic Characteristics -- 13.5 Conclusion -- References -- Chapter 14 Analysis on the Internal Explosion Effects of Single-Layer Spherical Reticulated Shell -- 14.1 Introduction -- 14.2 Numerical Model -- 14.2.1 Finite Element Model -- 14.2.2 Material Model -- 14.3 Internal Explosion Effects -- 14.3.1 Loading Effects of Internal Explosion -- 14.3.2 Internal Explosion Responses -- 14.4 Discussions -- 14.4.1 Space Height Coefficient -- 14.4.2 Wall No Openings -- 14.4.3 Wall Openings -- 14.5 Conclusions -- Acknowledgments -- References -- Chapter 15 Damage Features from Direct Modal Strain Measurements -- 15.1 Introduction -- 15.2 Prestressed Concrete Beam."]
[{"$nulls":4},"15.2.1 Test Structure -- 15.2.2 Progressive Damage Test -- 15.2.3 Dynamic Test Setup -- 15.3 Strain-Based Modal Analysis -- 15.3.1 Influence of Damage versus Temperature on Natural Frequencies -- 15.3.2 Influence of Damage versus Temperature on Strain Mode Shapes -- 15.4 Long-Term Monitoring of the 30th Span of the Arbre Viaduct -- 15.5 Conclusions -- Acknowledgments -- References -- Chapter 16 Displacement Estimation by Multi-Rate Data Fusion of Strain and Acceleration Data -- 16.1 Introduction -- 16.2 Strain-Derived Displacement Formula -- 16.3 Displacement Estimation Using Kalman Filtering -- 16.3.1 State-Space Model -- 16.3.2 Recursive Filtering Algorithm -- 16.4 Simulation on a Supertall Structure -- 16.5 Field Test on a Supertall Structure -- 16.6 Conclusions -- 16.7 Funding -- References -- Chapter 17 Concrete Crack Image Recognition Based on DBSCAN and KPCA -- 17.1 Introduction -- 17.2 IPTs Used for Concrete Cracks Detection -- 17.3 Methodology -- 17.3.1 Grayscale Processing -- 17.3.2 Edge Detection -- 17.3.3 Image Segmentation -- 17.3.4 Crack Monitor -- 17.4 Testing Images -- 17.5 Conclusions -- References -- Chapter 18 Pedestrian Induced Vibration of Slab -- 18.1 Introduction -- 18.2 Governing Equation -- 18.3 Conclusions -- Acknowledgements -- References -- Chapter 19 Piezoelectric Admittance-Based Damage Detection via Data Compression and Reconstruction -- 19.1 Introduction -- 19.2 Main Theories -- 19.2.1 "]
[{"$nulls":4},"Piezoelectric Ceramic Technique -- 19.2.2 Compressed Sensing Theory -- 19.2.3 Orthogonal Matching Pursuit -- 19.3 Validation of the Approach Using Monitoring Data from an Experimental Simply-Supported Beam -- 19.3.1 Description of the Simply-Supported Beam Experiment -- 19.3.2 Admittance Data Reconstruction Using OMP Algorithm -- 19.3.3 Data Compression Effects -- 19.3.4 Influence of Sparsity Level on Reconstruction Accuracy."]
[{"$nulls":4},"19.3.5 Damage Evaluation Using RMSD."]
[null,null,null,"Sommario/riassunto","\"Resilience of civil infrastructure systems : developments in testing, sensing, monitoring, and control covers a wide range of topics in the areas of vibration testing, instrumentation, and analysis of civil engineering and critical infrastructure. It explains how recent research, development, and applications in experimental vibration analysis of civil engineering structures have progressed significantly due to advancements in the fields of sensor and testing technologies, instrumentation, data acquisition systems, computer technology, computational modeling and simulation of large and complex civil infrastructure systems. The book also examines how cutting-edge artificial intelligence and data analytics can be applied to infrastructure systems. Features : Explains how recent technological developments have resulted in addressing the challenge of designing more resilient infrastructure, examines numerous research studies conducted by leading scholars in the field of infrastructure systems and civil engineering, presents the most emergent fields of civil engineering design, such as data analytics and AI for the analysis and performance assessment of infrastructure systems and their resilience, emphasizes the importance of an interdisciplinary approach to develop the modeling, analysis, and experimental tools for designing more resilient and intelligent infrastructure. Appropriate for practicing engineers and upper-level students, Resilience of civil infrastructure systems : developments in testing, sensing, monitoring, and control serves as a strategic roadmap for further research in the field of vibration testing and instrumentation of infrastructure systems\"--"]