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Showing 1 to 14 of 14 for “"Structural Damage Detection"”.
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Structural damage detection using ambient vibrations
… ambient random vibration response to detect damage level and location. The use of ambient vibration is advantageous because excitation is caused by service conditions such as normal vehicle traffic on a highway bridge, train passage on a railroad bridge, or wind loads on a tall building. This …
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Mobile hyperspectral imaging for structural damage detection
… due to their poor performance in object detection when structural cracks coexist with other complex scenes. A mobile hyperspectral imaging system is developed in this work, which captures hundreds of spectral reflectance values at a pixel in the visible and near-infrared (VNIR) portion of …
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Structural Damage Detection Utilizing Experimental Mode Shapes
<p>A method of locating structural damage is developed and tested to aid in the evaluation of structural health. This method will help minimize the cost of structural inspection and repair by informing engineers of where damage, due a seismic event, has occurred before the removal of finishes for …
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Structural damage detection using signal-based pattern recognition
Civil structures are susceptible to damages over their service lives due to aging, environmental loading, fatigue and excessive response. Such deterioration significantly affects the performance and safety of structure. Therefore, it is necessary to monitor the structural performance, detect and …
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Automated structural damage detection using one class machine learning
… using sensors can help identify and detect damage, potentially prolonging the life of structures and preventing disasters. Wireless sensor systems promise to make this technology more affordable and more widely applicable. Data driven structural health monitoring methodologies take raw …
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Methods for real-time actuator-sensor-failure and structural damage detection
… on isolation and quantification aspects of structural damage detection using global damage detection methods. It includes two parts: (1) isolation and detection of failure of the actuator/sensor/structural elements in real-time using interaction matrix formulation and parity based method, …
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Structural Damage Detection and Assessment From Spatially Sparse and Noise -Polluted Modal Response
A global damage detection and assessment algorithm is developed based on a parameter estimation method using the measured modal response of a structure. Damage is characterized by a reduction in a constitutive property of a parameterized finite-element model of the structure between two discrete …
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Vibration-based finite element model updating and structural damage identification
Damage and material deterioration could lead to structural failure with unknown consequences. Structural health monitoring strategy based on vibration measurements for existing aging structures offers a promising technique for effectively managing the deteriorating structures. The main objectives …
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Methodology for innovative health monitoring of aerospace structures using dynamic response measurements and advanced signal processing techniques
… work is to develop an innovative system for Structural Health Monitoring (SHM) of aerospace composite structures based on dynamic strain measurements in order to identify in an exhaustive way the structural state condition. Fiber Bragg Grating (FBG) optical sensors will be used for the …
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Piezoelectric active sensor and electric impedance approach for structural dynamic measurement
… smart material systems and structures, such as structural dynamic measurement analysis, structural damage detection, active structural vibration and acoustic control, etc. Presented in this thesis is a new electromechanical approach for structural dynamic analysis. It uses PZT patches bonded on …
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Physics-guided Machine Learning for Condition Assessment of Building Structures in Operational Environments
Structural condition assessment is critical for ensuring the safety and functionality of building structures, yet existing methods face significant challenges, including data scarcity, noise contamination, and limited generalisation across diverse operational environments. Traditional machine …
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Learning Structures : fusing deconvolution-based seismic interferometry with Bayesian inference for structural health assessment
… present a two-step computational methodology for structural identification and damage detection via fusing the concepts of seismic interferometry and Bayesian inference. Firstly, a deconvolution-based seismic interferometry approach is employed to obtain the wave-forms that represent the impulse …
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Disaster and infrastructure scene understanding
… the specific complex scenes related to structural damage found in civil structures and infrastructure systems that provide the backbone of our socio-economic activities. These structural damage-related complex scenes can be attributed to natural and technical hazards, and many are found …
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Bayesian-based Finite Element Model Updating, Damage Detection, and Uncertainty Quantification for Cable-stayed Bridges
… the safety and serviceability performance of structural components of these systems through structural health monitoring (SHM) techniques is necessary to achieve economically sustainable maintenance. Application of Bayesian inference in SHM techniques provides a reliable platform to deal with …