Determination of impact location on composite stiffened panels
By Z. Sharif-Khodaei, Mazdak Ghajari, M. H. Aliabadi. 2012
160 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/9a69ad05bebfc6bda12c64acf2f196a7e134daa3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Dana Hughes
- Nikolaus Correll
- Z. Sharif-Khodaei
- M. H. Aliabadi
- Hu Sun
- Wenzhuo Li
- Yishou Wang
- Xinlin Qing
In Mechanics of Materials
- Dana Hughes
- Nikolaus Correll
- Z. Sharif-Khodaei
- M. H. Aliabadi
- Xinlin Qing
- Hu Sun
- Wenzhuo Li
- Yishou Wang
Citations in the corpus
- Materials that couple sensing, actuation, computation, and communication (2015, methodology): “Artifical neural networks are common approaches to perform classification and regression in the literature cited [28,29,33,36,48,84,91,92,97,113,140,142,147, 149,161,162].”
- Piezoelectric Transducer-Based Structural Health Monitoring for Aircraft Applications (2019, methodology): “[148] established a metamodel, with the help of an ANN, capable of estimating the coordinates of an impact from sensor readings.”
- Assessment of delay-and-sum algorithms for damage detection in aluminium and composite plates (2014, methodology): “Passive sensing can be used for impact detection (Sharif-Khodaei et al 2012, Qiu et al 2013) and identification (Ghajari et al 2013) and active sensing leads to damage detection and characterization (Su and Ye 2009).”