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Self-powered structural health monitoring with nonlinear energy harvesting system

Kaori YUSE, Michael LALLART, Lionel PETIT, Claude RICHARD, Thomas MONNIER, Daniel GUYOMAR,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1, Pages 61-66 doi: 10.1007/s11465-009-0057-2

Abstract: The present paper describes the application of the fully self-powered structural health monitoring (SHMenergy, using the synchronized switch harvesting (SSH) method developed in our laboratory, the nonwired SHMSome different damage index measurements of SHM are finally discussed.

Keywords： energy harvesting piezoelectric generators electromechanical conversion self-powered devices structuralhealth monitoring (SHM) wireless

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Frontier of continuous structural health monitoring system for short & medium span bridges and condition

Ayaho MIYAMOTO, Risto KIVILUOMA, Akito YABE

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3, Pages 569-604 doi: 10.1007/s11709-018-0498-y

Abstract: short and medium span bridges based on the qualitative or quantitative information, mainly two advanced structuralspecial designed mobile loading device(vehicle) for short and medium span road bridges to assess the structuralthe influence of dynamic disturbances due to such factors as the roughness of the road surface, and a structural

Keywords： condition assessment short & medium span bridge structural health monitoring(SHM) long-term data collection

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Low crosstalk switch unit for dense piezoelectric sensor networks

Lei QIU, Shenfang YUAN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 401-406 doi: 10.1007/s11465-009-0047-4

Abstract: Structural health monitoring (SHM), on the basis of piezoelectric (PZT) sensors and lamb wave method,Its low crosstalk characteristics make it promote the real application of the SHM based active lamb wave

Keywords： structural health monitoring (SHM) piezoelectric (PZT) sensor networks switch unit crosstalk signal

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ArcObjects-based software design of Xihoumen Bridge structural health monitoring

Xie Hao,Li Na,Feng Liangping,Chen Weiguo,Zhang Xiaobin,Liu Zhiqiang

Strategic Study of CAE 2010, Volume 12, Issue 7, Pages 107-109

Abstract:

Basic functions and constitution of bridge structure health monitoring software were discussed. The application of ArcObjects was reviewed, and key technologies and characteristics of the software were pointed out.

Keywords： GIS ArcObjects SHM (structural health monitoring)

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SHM-based F-AHP bridge rating system with application to Tsing Ma Bridge

Qi LI, You-lin XU, Yue ZHENG, An-xin GUO, Kai-yuen WONG, Yong XIA

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4, Pages 465-478 doi: 10.1007/s11709-011-0135-5

Abstract: This paper aims at developing a structural health monitoring (SHM)-based bridge rating method for bridgeanalytic hierarchy approach is employed, and the hierarchical structure for synthetic rating of each structuralcriticality and vulnerability analyses are performed largely based on the field measurement data from the SHMfuzzy synthetic decisions for inspection are made in consideration of the synthetic ratings of all structuralThe SHM-based bridge rating method is finally applied to the Tsing Ma suspension bridge in Hong Kong

Keywords： structural health monitoring (SHM) bridge rating method fuzzy based analytic hierarchy approach criticality

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Vibration testing of a steel girder bridge using cabled and wireless sensors

Dapeng ZHU, Yang WANG, James BROWNJOHN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3, Pages 249-258 doi: 10.1007/s11709-011-0113-y

Abstract: reduce system installation time and cost, wireless sensing technology has attracted much interest in the structuralhealth monitoring (SHM) community.

Keywords： wireless sensing structural health monitoring (SHM) signal conditioning operating deflection analysis

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Research on structural health monitoring (SHM) system based on RTK GPS system

Wang Renpeng,Yao Lianbi,Meng Xiaolin

Strategic Study of CAE 2011, Volume 13, Issue 3, Pages 63-70

Abstract: obtained during field data acquisition by the real-time kinematic global positioning system (RTK GPS) in structuralhealth monitoring (SHM) system of the Nanpu Bridge in Shanghai, we finished lots of processing worksof performance of civil structures, and furtherly proved the possibility of building the prototype SHM

Keywords： RTK GPS system time series state-space model ARMA model finite element model

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Damage assessment of laminated composite beam structures using damage locating vector (DLV) method

T. VO-DUY,N. NGUYEN-MINH,H. DANG-TRUNG,A. TRAN-VIET,T. NGUYEN-THOI

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 4, Pages 457-465 doi: 10.1007/s11709-015-0303-0

Abstract: In this paper, the damage locating vector (DLV) method using normalized cumulative energy ( ) is employed to locate multiple damage sites in laminated composite beam structures. Numerical simulations of two laminated composite beams are employed to investigate several damage scenarios in which the degradation of elements is modeled by the reduction in the longitudinal Young’s modulus and transverse Young’s modulus of beam layers. The results show that the DLV method gives good performance for this kind of structure.

Keywords： normalized cumulative energy structural health monitoring (SHM) damage locating vector method (DLV) laminated

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2, Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: Structural dynamic characteristics are the most significant parameters that play a decisive role in structuralThe complexity of structural damping mechanisms has made this parameter to be one of the ongoing researchand nonlinear models which are described as the energy dissipation throughout viscous, material or structuralresponses plays an important role in structural identification process.In this paper model-based damping approximation method and a model-less structural input estimation are

Keywords： structural modal parameters damping identification method input excitation force identification Inverse

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Effects of green roof damping and configuration on structural seismic response

Frontiers of Structural and Civil Engineering Pages 1133-1144 doi: 10.1007/s11709-023-0959-9

Abstract: Hence, their structural resilience or ability to recover from natural events must be considered comprehensively, nonlinear time-history analyses are conducted on a three-story building in SAP2000 to monitor the structuralThe increased damping in the green roof soil is beneficial to the structural performance, i.e., it reducesAdditionally, certain configurations are more effective and beneficial to the structural response thanBased on the findings of this study, new methods of modeling and considering green roofs in structural

Keywords： green infrastructure green roof structural resilience seismic design

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Development of an integrated structural health monitoring system for bridge structures in operational

Xinqun ZHU, Hong HAO

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3, Pages 321-333 doi: 10.1007/s11709-012-0161-y

Abstract: This paper presents an overview of development of an integrated structural health monitoring system.The integrated system includes vibration and guided-wave based structural health monitoring.system under operational conditions and structural evaluation.The study is mainly focused on developing: integrated sensor technology, integrated structural damageidentification with operational loads monitoring, and integrated structural evaluation with results

Keywords： integrated structural health monitoring operational conditions vibration and guided wave

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learningextraction and classification blocks into an intelligent and compact learning system and detect the structuralstate of a steel frame; the input was a series of vibration signals, and the output was a structuralIt is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals

Keywords： structural state detection deep learning digital image correlation vibration signal steel frame

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Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6, Pages 1331-1348 doi: 10.1007/s11709-020-0686-4

Abstract: Regression surfaces between the structural parameters and structural output features, represented byAn inverse iterative process is then applied to identify the structural parameters by matching the experimentalthe proposed method will have practical applications in the identification and analysis of restored structural

Keywords： structural model validation eigenvalue problem response surface inverse problems

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Advanced analysis for structural steel building design

CHEN Wai Fah

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3, Pages 189-196 doi: 10.1007/s11709-008-0024-8

Abstract: The 2005 AISC LRFD Specifications for Structural Steel Buildings are making it possible for designersto recognize explicitly the structural resistance provided within the elastic and inelastic ranges ofawareness of the need for practical second-order analysis approaches for a direct determination of overall structural

Keywords： building Specifications comprehensive introduction structural resistance traditional

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Estimation of optimum design of structural systems via machine learning

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1441-1452 doi: 10.1007/s11709-021-0774-0

Abstract: Three different structural engineering designs were investigated to determine optimum design variablesTo explore the estimation success of ANN models, different test cases were proposed for the three structural

Keywords： optimization metaheuristic algorithms harmony search structural designs machine learning artificial