[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Gao, 2005 - Google Patents

Structural health monitoring strategies for smart sensor networks

Gao, 2005

View PDF
Document ID
13773557504897369538
Author
Gao Y
Publication year

External Links

Snippet

The research detailed in this dissertation has three complimentary efforts that seek to address some of the challenges remaining to apply structural health monitoring (SHM) to civil engineering structures. Focus has been placed on development of SHM algorithms …
Continue reading at www.ideals.illinois.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5086—Mechanical design, e.g. parametric or variational design
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V11/00—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring

Similar Documents

Publication Publication Date Title
Gao Structural health monitoring strategies for smart sensor networks
Gao et al. Distributed computing strategy for structural health monitoring
Johnson et al. Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data
Cho et al. Smart wireless sensor technology for structural health monitoring of civil structures
Ni et al. Modal flexibility analysis of cable‐stayed Ting Kau Bridge for damage identification
Glaser et al. Sensor technology innovation for the advancement of structural health monitoring: a strategic program of US-China research for the next decade
Raich et al. Multi‐objective optimization of sensor and excitation layouts for frequency response function‐based structural damage identification
Duan et al. Damage localization in ambient vibration by constructing proportional flexibility matrix
Yan et al. Substructure vibration NARX neural network approach for statistical damage inference
Catbas et al. Predictive analysis by incorporating uncertainty through a family of models calibrated with structural health-monitoring data
Zhang et al. Mobile impact testing for structural flexibility identification with only a single reference
Kim et al. Near-real-time identification of seismic damage using unsupervised deep neural network
Oh et al. Urban safety network for long-term structural health monitoring of buildings using convolutional neural network
Tefera et al. Challenges in applying vibration-based damage detection to highway bridge structures
Shan et al. Rapid seismic performance evaluation of existing frame structures using equivalent SDOF modeling and prior dynamic testing
Wu et al. Development of sensor placement optimization tool and application to large-span cable-stayed bridge
Bandara Damage identification and condition assessment of building structures using frequency response functions and neural networks
Huynh et al. Vibration‐based structural identification of caisson‐foundation system via in situ measurement and simplified model
Caicedo et al. Fast mode identification technique for online monitoring
Park et al. Nondestructive damage detection in large structures via vibration monitoring
Wang et al. Overview of a modal-based condition assessment procedure
Büyüköztürk et al. Structural health monitoring and seismic impact assessment
Spencer Jr et al. Distributed computing strategy for damage monitoring employing smart sensors
GAO BE, Zhejiang University, 1996 MS, University of Macau, 1999 MS, University of Notre Dame, 2003
Cheema et al. Bridge indirect monitoring using Uniform Manifold Approximation and Projection (UMAP)