Determination of orthotropic mechanical properties of 3D printed parts for structural health monitoring

Author(s):  
Bastien Poissenot-Arrigoni ◽  
Austin Scheyer ◽  
Steven R. Anton
Geomatics ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Kira Zschiesche

Measuring structures and its documentation is one of the tasks of engineering geodesy. Structural health monitoring (SHM) is defined as a periodic or continuous method to provide information about the condition of the construction through the determination of measurement data and their analysis. In SHM, wide varieties of sensors are used for data acquisition. In the following, the focus is on the application of image assisted total stations (IATS). The combination of tacheometry and photogrammetric measurement offers high flexibility and precision. Different approaches of automated detecting and matching whose applications have been tested in practice are briefly explained. A distinction is made between built-in cameras (commercial) and external camera systems (prototypes). Various successful applications of IATS in the field of SHM are presented and explained.


2021 ◽  
Vol 2 (4) ◽  
pp. 996-1008
Author(s):  
Ahmed Bayoumi ◽  
Tobias Minten ◽  
Inka Mueller

The capabilities of detection and localization of damage in a structure, using a guided wave-based structural health monitoring (GWSHM) system, depend on the damage location and the chosen sensor array setup. This paper presents a novel approach to assess the reliability of an SHM system enabling to quantify localization accuracy. A two-step technique is developed to combine multiple paths to generate one probability of detection (POD) curve that provides information regarding the detection capability of an SHM system at a defined damage position. Moreover, a new method is presented to analyze localization accuracy. Established probability-based diagnostic imaging using a signal correlation algorithm is used to determine the damage location. The resultant output of the localization accuracy analysis is the smallest damage size at which a defined accuracy level can be reached at a determined location. The proposed methods for determination of detection probability and localization accuracy are applied to a plate-like CFRP structure with an omega stringer with artificial damage of different sizes at different locations. The results show that the location of the damage influences the sensitivity of detection and localization accuracy for the used detection and localization methods. Localization accuracy is enhanced as it becomes closer to the array’s center, but its detection sensitivity deteriorates.


2020 ◽  
Vol 11 (1) ◽  
pp. 1-7
Author(s):  
Riya Bhandari

In today’s modern world, the development is at its peak. Due to increasing development, thousands of new buildings, tunnels, bridges, expressways, and many challenging and complex structure are being made day by day for suiting the increasing needs of people. The development is also seen in the new materials and techniques used in construction methods. Due to this increasing construction of vast structures, the analysis of structures has also become a major challenge as maintaining the integrity of the structure is of utmost importance. Traditional methods of structure analysis are not much beneficial and are not sufficient enough. Structural health monitoring (SHM) is a great development in the analysis of the structures for damage detection and determination of cracks and defects present in the structure. SHM system improves the safety and reliability of the structures; reduce maintenance costs and also helps in extending the useful life of the structures. Still the practical applications of this method are not much used and are still behind in the civil sector in India.


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