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Intelligent Vibration Control in Civil Engineering Structures [Kõva köide]

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(Civil Engineering School, Southeast University, Nanjing, China), , (Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA), (Department of Mechanical and Aerospace Engineering, North Caroli)
  • Formaat: Hardback, 278 pages, kõrgus x laius: 235x191 mm, kaal: 770 g
  • Ilmumisaeg: 22-Nov-2016
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0124058744
  • ISBN-13: 9780124058743
Teised raamatud teemal:
Intelligent Vibration Control in Civil Engineering StructuresSuurem pilt
  • Formaat: Hardback, 278 pages, kõrgus x laius: 235x191 mm, kaal: 770 g
  • Ilmumisaeg: 22-Nov-2016
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0124058744
  • ISBN-13: 9780124058743
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780124058743.html
Märksõnad:

Intelligent Vibration Control in Civil Engineering Structures provides readers with an all encompassing view of the theoretical studies, design methods, and real-world implementations and applications relevant to the topic.

The book focuses on design and property tests on different intelligent control devices, innovative control strategies, analysis examples for structures with intelligent control devices, and design and tests for intelligent controllers.

  • Focuses on the principles, methods and applications of intelligent vibration control in civil engineering
  • Covers intelligent control, including active and semi-active control
  • Comprehensive contents, including design and properties of different intelligent control devices, control strategies and dynamic analysis, intelligent controller design, numerical examples, and experimental data

Muu info

An all-encompassing view of the theoretical studies, design methods, real-world implementations, and applications relevant to intelligent vibration control
Preface xi
Chapter 1 Introduction
1(20)
1.1 Earthquake and Wind Disasters
1(7)
1.1.1 Earthquake Disaster
1(5)
1.1.2 Wind Disaster
6(2)
1.2 Structure Vibration Control
8(13)
1.2.1 Basic Principles
8(1)
1.2.2 Classification
9(7)
1.2.3 Structure Intelligent Control
16(5)
Chapter 2 Intelligent Control Strategies
21(42)
2.1 Equations of Motion of Intelligent Control System
21(1)
2.2 Classical Linear Optimal Control Algorithm
22(5)
2.2.1 LQR Optima] Control
23(2)
2.2.2 LQG Optimal Control
25(2)
2.3 Pole Assignment Method
27(3)
2.3.1 Pole Assignment Method With State Feedback
28(1)
2.3.2 Pole Assignment Method With Output Feedback
29(1)
2.4 Instantaneous Optimal Control Algorithm
30(3)
2.5 Independent Mode Space Control
33(2)
2.5.1 Modal Control Based on State Space
33(1)
2.5.2 Modal Control Based on Equation of Motion
34(1)
2.6 H∞ Feedback Control
35(3)
2.6.1 H∞ Norm
36(1)
2.6.2 H∞ Feedback Control
37(1)
2.7 Sliding Mode Control
38(3)
2.7.1 Design of Sliding Surface
39(1)
2.7.2 Design of Controller
40(1)
2.8 Optimal Polynomial Control
41(4)
2.8.1 Basic Principle
42(3)
2.8.2 Applications
45(1)
2.9 Fuzzy Control
45(5)
2.9.1 Basic Principle
46(1)
2.9.2 Design of Fuzzy Controller
46(4)
2.10 Neural Network Control
50(2)
2.10.1 Basic Principle
50(1)
2.10.2 Learning Method
51(1)
2.11 Particle Swarm Optimization Control
52(4)
2.11.1 Basic Principle
53(2)
2.11.2 Design Procedure of the PSO Algorithm
55(1)
2.12 Genetic Algorithm
56(7)
2.12.1 Basic Principle
56(1)
2.12.2 Procedure of GA
57(3)
2.12.3 GA Control Realization
60(3)
Chapter 3 Active Intelligent Control
63(22)
3.1 Principles and Classification
63(2)
3.1.1 Buildup of Systems
63(1)
3.1.2 Basic Principles
64(1)
3.1.3 Classification
64(1)
3.2 Active Mass Control System
65(9)
3.2.1 Basic Principles
65(2)
3.2.2 Construction and Design
67(2)
3.2.3 Mathematical Models and Structural Analysis
69(3)
3.2.4 Experiment and Engineering Example
72(2)
3.3 Active Tendon System
74(5)
3.3.1 Basic Principles
74(1)
3.3.2 Construction and Design
75(2)
3.3.3 Experiment and Engineering Example
77(2)
3.4 Other Active Control System
79(6)
3.4.1 Form and Principles
79(2)
3.4.2 Analysis and Tests
81(4)
Chapter 4 Semiactive Intelligent Control
85(66)
4.1 Principles and Classification
85(2)
4.1.1 Basic Principles
85(1)
4.1.2 Classification
86(1)
4.2 MR Dampers
87(23)
4.2.1 Basic Principles
87(2)
4.2.2 Construction and Design
89(5)
4.2.3 Mathematical Models
94(5)
4.2.4 Analysis and Design Methods
99(2)
4.2.5 Tests and Engineering Applications
101(9)
4.3 ER Dampers
110(7)
4.3.1 Basic Principles
110(2)
4.3.2 Construction and Design
112(1)
4.3.3 Mathematical Models
113(2)
4.3.4 Analysis and Design Methods
115(1)
4.3.5 Tests and Engineering Applications
115(2)
4.4 Piezoelectricity Friction Dampers
117(9)
4.4.1 Basic Principles
118(1)
4.4.2 Construction and Design
118(1)
4.4.3 Mathematical Models
119(4)
4.4.4 Analysis and Design Methods
123(1)
4.4.5 Tests and Engineering Applications
124(2)
4.5 Semiactive Varied Stiffness Damper
126(6)
4.5.1 Basic Principles
126(1)
4.5.2 Construction and Design
127(1)
4.5.3 Mathematical Models
128(1)
4.5.4 Analysis and Design Methods
129(2)
4.5.5 Tests and Engineering Applications
131(1)
4.6 Semiactive Varied Damping Damper
132(6)
4.6.1 Basic Principles
133(1)
4.6.2 Construction and Design
133(1)
4.6.3 Mathematical Model
134(2)
4.6.4 Analysis and Design Methods
136(1)
4.6.5 Tests and Engineering Applications
137(1)
4.7 MRE Device
138(13)
4.7.1 Basic Principles
138(2)
4.7.2 Construction and Design
140(2)
4.7.3 Mathematical Models
142(2)
4.7.4 Analysis and Design Methods
144(1)
4.7.5 Tests and Engineering Applications
145(6)
Chapter 5 Design and Parameters Optimization on Intelligent Control Devices
151(22)
5.1 Design and Parameters Optimization on MR Damper
151(9)
5.1.1 Design on MR Damper
151(5)
5.1.2 Parameters Optimization on MR Damper
156(4)
5.2 Design and Parameters Optimization of MRE Device
160(6)
5.2.1 Parameter Optimization for Magnetic Circuit
160(5)
5.2.2 Magnetic Circuit FEM Simulation
165(1)
5.3 Design and Parameters Optimization on Active Control
166(7)
5.3.1 Design and Parameters Optimization Based on Feedback Gain
167(2)
5.3.2 Design and Parameters Optimization Based on Minimum Energy Principle
169(2)
5.3.3 Design and Parameters Optimization Based on Fail-Safe Reliability
171(2)
Chapter 6 Design and Study on Intelligent Controller
173(8)
6.1 Design of Intelligent Controller
173(4)
6.1.1 The Design of the Acceleration Responses Collection
173(2)
6.1.2 The Design of the Microcontroller
175(2)
6.2 Experimental Study on Intelligent Controller
177(4)
Chapter 7 Dynamic Response Analysis of the Intelligent Control Structure
181(20)
7.1 Elastic Analysis
181(6)
7.1.1 Mathematical Model of Structures
181(4)
7.1.2 Determination of the Control Force of the MR Damper
185(1)
7.1.3 Numerical Analysis
186(1)
7.2 Elasto-Plastic Analysis Method
187(5)
7.2.1 Restoring Force Model
187(1)
7.2.2 Processing of Turning Points
188(2)
7.2.3 Elasto-Plastic Stiffness Matrix
190(2)
7.3 Dynamic Response Analysis by SIMULIK
192(9)
7.3.1 Simulation of the Controlled Structure
192(1)
7.3.2 Numerical Analysis
193(8)
Chapter 8 Example and Program Analysis
201(48)
8.1 Dynamic Analysis on Frame Structure With MR Dampers
201(7)
8.1.1 Structural and Damper Parameters
201(1)
8.1.2 Semiactive Control Strategy
201(3)
8.1.3 Results and Analysis
204(4)
8.2 Dynamic Analysis on Long-Span Structure With MR Dampers
208(7)
8.2.1 Parameters and Modeling
208(1)
8.2.2 Wind Load Simulation
209(2)
8.2.3 Semiactive Control Strategy
211(2)
8.2.4 Results and Analysis
213(2)
8.3 Dynamic Analysis on Platform With MRE Devices
215(8)
8.3.1 Modeling and Parameters
217(3)
8.3.2 Semiactive Control Strategy
220(2)
8.3.3 Results and Analysis
222(1)
8.4 SIMULINK Analysis Example
223(16)
8.4.1 The SIMULINK Example of the Structure Without Dampers
224(2)
8.4.2 The SIMULINK Example of the Controlled Structure
226(13)
8.5 Particle Swarm Optimization Control Example
239(4)
8.5.1 Structural and Damper Parameters
239(1)
8.5.2 The PSO Optimization Control
240(1)
8.5.3 Results and Analysis
241(2)
8.6 Active Control Example
243(6)
8.6.1 Modeling and Parameters
243(3)
8.6.2 Active Control Strategy
246(1)
8.6.3 Results and Analysis
247(2)
References 249(10)
Index 259
Civil Engineering School, Southeast University, Si-Pai Lou 2#, Nanjing, 210096, China Department of Mechanical and Aerospace Engineering, North Carolina State University