Structural damage identification has recently become one of the most important topics for engineering structures due to its benefits in enhancing safety, reducing life-cycle cost and providing guidance for system construction and maintenance. This research investigates the accuracy of using displacement influence lines (DILs) and their derivatives (slope and curvature) for structural damage characteristics (location and severity). The method is based on static structure response, which can be measured using single or multi sensors. The study includes an analytical investigation of damage detection of single and multiple damages in a simply supported beam. The measuring point positions are also discussed in this paper. Furthermore, the advantages and disadvantages of using displacement influence lines in structural damage detection are also discussed
Structural damage detection has recently become one of the most important topics for engineering structures due
to its benefits in enhancing safety, reducing life-cycle cost and providing guidance for system construction and
maintenance. This research studies the accuracy of using rotation influence lines (RIL) and their derivatives (first
and second derivatives) for detecting structural damage characteristics (location and severity). The study includes
an analytical investigation of damage detection of multiple damages in simply supported beam. Then,
numerical studies have been conducted to investigate the effectiveness of the proposed method for damage
identification of simply supported beam (determinate structure), continuous beam (indeterminate structure)
with different damage characteristics. Furthermore, the most effective inclinometer locations and number of
inclinometers for structural damage detection on simply supported and continuous beams are reported.
Furthermore, noise intensity effects from the limited inclinometer precision, inclinometer faults and transmission
errors are discussed in this paper.
Structural damage detection has recently become one of the most important topics for engineering structures due
to its benefits in enhancing safety, reducing life-cycle cost and providing guidance for system construction and
maintenance. This research studies the accuracy of using rotation influence lines (RIL) and their derivatives (first
and second derivatives) for detecting structural damage characteristics (location and severity). The study includes
an analytical investigation of damage detection of multiple damages in simply supported beam. Then,
numerical studies have been conducted to investigate the effectiveness of the proposed method for damage
identification of simply supported beam (determinate structure), continuous beam (indeterminate structure)
with different damage characteristics. Furthermore, the most effective inclinometer locations and number of
inclinometers for structural damage detection on simply supported and continuous beams are reported.
Furthermore, noise intensity effects from the limited inclinometer precision, inclinometer faults and transmission
errors are discussed in this paper.
We numerically investigated Marangoni flow induced around a microbubble generated using a laser beam to be used as a method for enhanced fluid mixing on the microscale. We report the generated flow field at different laser powers and different positions of the laser spot relative to the bubble center. We found that flow velocities as high as 47 cm/sec are achievable when the laser spot is closest to the bubble center at a power of 1 mW. This flow velocity increases with increasing the laser power and decreases as the laser spot moves away from the bubble. Our numerical results are validated by comparing it to previously reported experimental results and shows good qualitative agreement. The results reported here indicate that photothermally induced Marangoni flow can be used as an effective mixing mechanism on the microscale.
