Structural health monitoring

About: Structural health monitoring is a research topic. Over the lifetime, 11727 publications have been published within this topic receiving 186231 citations.

Combined Energy Harvesting and Structural Health Monitoring Potential of Embedded Piezo-Concrete Vibration Sensors

Abstract: Piezoelectric materials have proven their efficacy for both energy harvesting and structural health monitoring (SHM) individually. Piezoelectric ceramic (PZT) patches, operating in d31-mode, are considered best for SHM. However, for energy harvesting, built up configurations such as stack actuators are more preferred. The proposed study in this paper provides a proof-of-concept experimental demonstration of achieving both energy harvesting and structural health monitoring from the same PZT patch in the form of concrete vibration sensor (CVS), designed specifically for RC structures. This packaged sensor (CVS), composite in nature, has better compatibility with surrounding concrete and can withstand the harsh conditions encountered during construction. The paper covers experiments carried out in the laboratory environment to measure the voltage and the power generated by a CVS embedded in a life-sized simply-supported RC beam subjected to harmonic excitations. An analytical model is developed to co...

Eliminating Environmental or Operational Influences in Structural Health Monitoring using the Missing Data Analysis

Abstract: Latent variable models can be used to eliminate the environmental or operational effects from the data without measuring the underlying variables and resulting in an increased reliability of damage detection. A method is proposed, which also utilizes the available environmental or operational variables. The method is based on the missing data analysis, in which each feature is estimated in turn using the other features and also the available environmental or operational variables. As damage detection is solely based on the measuremets, training data from the undamaged structure under different environmental or operational conditions are needed. Compared to many other latent variable models, the main advantage of the proposed method is that there are no parameters to be adjusted. The main disadvantage is a higher run time. The method is verified in a numerical study of a vehicle crane with a varying configuration and in an experimental study of a bridge structure under environmental variations. All damage ...

On Selection of Data Fusion Schemes for Structural Damage Evaluation

Abstract: Data fusion plays a pivotal role to achieve reasonable accuracy and precision in identifying structural damage. An appropriate fusion process can reduce imprecision, uncertainties and incompleteness, therefore increasing the robustness and reliability of identification. The present work compared three major fusion schemes, i.e., disjunctive, conjunctive, and compromise fusion, in terms of their effectiveness to estimate mono- and multi-delamination in carbon fiber-epoxy composite structures. (1) Time-of-flight was extracted from Lamb wave signals rendered by an active sensor network, to attain the loci of locations of all possible damage instance(s) in the structure under inspection, which served as the prior perceptions of sensors as to the areas with possibility of damage occurrence; and (2) the entire structure was virtually meshed and the prior perceptions of individual sensors were further quantified at each spatial mesh node using the distance between nodes and all loci established from (1), to form...