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Auswahl der wissenschaftlichen Literatur zum Thema „Curvature damage index“
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Zeitschriftenartikel zum Thema "Curvature damage index"
Shang, Xin, Yue Xu und Geng Feng Ren. „Research on Curvature Mode Characteristics of Damaged Simply Supported Beam“. Applied Mechanics and Materials 455 (November 2013): 261–66. http://dx.doi.org/10.4028/www.scientific.net/amm.455.261.
Der volle Inhalt der QuelleXu, Y. F., und J. S. Kim. „Baseline-Free Structural Damage Identification for Beam-Like Structures Using Curvature Waveforms of Propagating Flexural Waves“. Sensors 21, Nr. 7 (02.04.2021): 2453. http://dx.doi.org/10.3390/s21072453.
Der volle Inhalt der QuelleJing, Hang, Ling Ling Jia und Yi Zhao. „Structural Damage Detection Using Curvature Mode Difference Curve“. Advanced Materials Research 250-253 (Mai 2011): 1248–51. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.1248.
Der volle Inhalt der QuelleXiang, Chang-Sheng, Ling-Yun Li, Yu Zhou und Zi Yuan. „Damage Identification Method of Beam Structure Based on Modal Curvature Utility Information Entropy“. Advances in Civil Engineering 2020 (19.09.2020): 1–20. http://dx.doi.org/10.1155/2020/8892686.
Der volle Inhalt der QuelleGe, Ji Ping. „Damage Quantitative Investigation of Beam Structure Based on Changing Ratio of Modal Curvature“. Advanced Materials Research 255-260 (Mai 2011): 654–58. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.654.
Der volle Inhalt der QuelleKim, Byeong Hwa. „Online Monitoring of Flexural Damage Index of a Cable-Stayed Bridge“. Shock and Vibration 2019 (23.11.2019): 1–13. http://dx.doi.org/10.1155/2019/7607214.
Der volle Inhalt der QuelleXiang, Yi Qiang, Li Si Liu und Yu Liang He. „Damage Identification of Multi-Box Steel-Concrete Composite Bridges Based on Modal Curvature Difference Method“. Applied Mechanics and Materials 226-228 (November 2012): 1689–92. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1689.
Der volle Inhalt der QuelleZhu, Hua Wei, Hong Mou Wang und Wei Peng. „Study on Box Girder Damage Identification of Cable-Stayed Bridges“. Applied Mechanics and Materials 101-102 (September 2011): 1156–60. http://dx.doi.org/10.4028/www.scientific.net/amm.101-102.1156.
Der volle Inhalt der QuelleWang, Pengbo, und Qinghe Shi. „Damage Identification in Structures Based on Energy Curvature Difference of Wavelet Packet Transform“. Shock and Vibration 2018 (28.05.2018): 1–13. http://dx.doi.org/10.1155/2018/4830391.
Der volle Inhalt der QuelleNayyar, Ayisha, Ummul Baneen, Syed Abbas Zilqurnain Naqvi und Muhammad Ahsan. „Detection and localization of multiple small damages in beam“. Advances in Mechanical Engineering 13, Nr. 1 (Januar 2021): 168781402098732. http://dx.doi.org/10.1177/1687814020987329.
Der volle Inhalt der QuelleDissertationen zum Thema "Curvature damage index"
Deshmukh, Prutha. „Damage Detection Of a Cantilever Beam Using Digital Image Correlation“. University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623169831665585.
Der volle Inhalt der QuelleJuliani, Tiago Marrara. „Detecção de danos em pontes em escala reduzida pela identificação modal estocástica“. Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18134/tde-18122014-091614/.
Der volle Inhalt der QuelleReinforced concrete bridges are extremely important elements of Brazilian transportation infrastructure. Consequently their inspection and maintenance are strategic activities. Visual inspection, destructive or nondestructive tests offer relevant information on their structural integrity and support the decision on the need of retrofitting or strengthening. Among existing types of nondestructive tests, this work focuses on the application of stochastic modal identification in damage detection of bridges. This technique is based on the measurement of environmental vibrations that occur during normal operation of the structure, modal identification, comparison of modal properties between damaged and undamaged bridge and finally damage detection. Opposed to classical dynamic experimental analysis, in stochastic modal identification the loads are not measured or known during the test. For this reason modal identification was only based in vibrations measured in selected points of the structure, power spectral density functions and vibration transmissibilities between these points. With this method natural frequencies and experimental modal shapes could be precisely identified in damaged and undamaged small scale models of bridges. The damage was induced in the middle of the span or in the second quarter of the span in one of the girders. After dynamic testing in undamaged and damaged conditions two damage identification techniques were used: Modal Curvature Difference (MCD) and Damage Index (ID). Both techniques detected successfully the damages imposed to the bridge models.
Buchteile zum Thema "Curvature damage index"
Akinci, Halil, Mustafa Zeybek und Sedat Dogan. „Evaluation of Landslide Susceptibility of Şavşat District of Artvin Province (Turkey) Using Machine Learning Techniques“. In Landslides [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99864.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Curvature damage index"
Chen, Da-Ming, Y. F. Xu und W. D. Zhu. „A Round Robin Study: Detection of Damage in a Composite Plate With a Real-Time Moving Sensor Measurement Technique“. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86160.
Der volle Inhalt der QuelleChen, Da-Ming, Y. F. Xu und W. D. Zhu. „Damage Identification Using a Continuously Scanning Laser Doppler Vibrometer System“. In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67293.
Der volle Inhalt der QuelleChen, Da-Ming, Y. F. Xu und W. D. Zhu. „Non-Model-Based Multiple Damage Identification of Beams Under Spatially Dense Vibration Measurement“. In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72430.
Der volle Inhalt der QuelleLau, Dennis, und S. W. Ricky Lee. „Correlation Between the Strain on the Printed Circuit Board and the Stress in Chips for the Failure Prediction of Passive Components“. In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82084.
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