Academic literature on the topic 'Dynamic damage'
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Journal articles on the topic "Dynamic damage":
Bhargav Sai, Cherukuri, and D. Mallikarjuna Reddy. "Dynamic Analysis of Faulty Rotors through Signal Processing." Applied Mechanics and Materials 852 (September 2016): 602–6. http://dx.doi.org/10.4028/www.scientific.net/amm.852.602.
Sun , Yun, Qiuwei Yang, and Xi Peng. "Structural Damage Assessment Using Multiple-Stage Dynamic Flexibility Analysis." Aerospace 9, no. 6 (May 29, 2022): 295. http://dx.doi.org/10.3390/aerospace9060295.
Mahendran, G., Chandrasekaran Kesavan, and S. K. Malhotra. "Damage Detection in Laminated Composite Beams, Plates and Shells Using Dynamic Analysis." Applied Mechanics and Materials 787 (August 2015): 901–6. http://dx.doi.org/10.4028/www.scientific.net/amm.787.901.
LI, S. C., S. H. LIU, and Y. L. WU. "A NEW TYPE OF CAVITATION DAMAGE TRIGGERED BY BOUNDARY-LAYER TURBULENT PRODUCTION." Modern Physics Letters B 21, no. 20 (August 30, 2007): 1285–96. http://dx.doi.org/10.1142/s0217984907013456.
SILVA, R. L., L. M. TRAUTWEIN, C. S. BARBOSA, L. C. ALMEIDA, and G. H. SIQUEIRA. "Empirical method for structural damage location using dynamic analysis." Revista IBRACON de Estruturas e Materiais 13, no. 1 (February 2020): 19–31. http://dx.doi.org/10.1590/s1983-41952020000100003.
Zhao, Mingjie, Guoyin Wu, and Kui Wang. "Comparative Analysis of Dynamic Response of Damaged Wharf Frame Structure under the Combined Action of Ship Collision Load and Other Static Loads." Buildings 12, no. 8 (July 30, 2022): 1131. http://dx.doi.org/10.3390/buildings12081131.
ZHANG, Hougui, Ruixiang SONG, Jie YANG, Dan WU, and Yingjie WANG. "Connection Damage Detection of Double Beam System under Moving Load with Genetic Algorithm." Mechanics 27, no. 1 (February 24, 2021): 80–87. http://dx.doi.org/10.5755/j02.mech.25500.
Carminati, M., and S. Ricci. "Structural Damage Detection Using Nonlinear Vibrations." International Journal of Aerospace Engineering 2018 (September 25, 2018): 1–21. http://dx.doi.org/10.1155/2018/1901362.
Xu, Tao, Yihang Zhu, Xiaomin Zhang, Zheyuan Wu, and Xiuqin Rao. "Dynamic Prediction Model for Initial Apple Damage." Foods 12, no. 20 (October 11, 2023): 3732. http://dx.doi.org/10.3390/foods12203732.
Capozucca, R., E. Magagnini, and M. V. Vecchietti. "Experimental Free Vibration of Damaged RC Beam Models." Key Engineering Materials 827 (December 2019): 499–504. http://dx.doi.org/10.4028/www.scientific.net/kem.827.499.
Dissertations / Theses on the topic "Dynamic damage":
Djahansouzi, B. "Effect of dynamic response on impact damage." Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/47033.
Tappert, Peter M. "Damage identification using inductive learning." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-05092009-040651/.
Ge, Ma. "Structural damage detection and identification using system dynamic parameters." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2005. http://wwwlib.umi.com/cr/syr/main.
Quiroz, Laura Maria. "Probabilistic assessment of damage states using dynamic response parameters." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/36955.
Mao, Lei. "Frequency-based structural damage identification and dynamic system characterisation." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7945.
Uwayed, Ahmed Noori. "Damage detection in laminated composite structures using dynamic analysis." Thesis, University of Leicester, 2018. http://hdl.handle.net/2381/42921.
Lacruz, Alvarez Alfonso de. "Damage response of sandwich plates subject to dynamic loads." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/35040.
Tondreau, Gilles. "Damage localization in civil engineering structures using dynamic strain measurements." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209466.
monitoring of civil engineering structures in order to locate small damages automatically. A
review of the very wide literature on Structural Health Monitoring (SHM) points first out that
the methods can be grouped in four categories based on their need or not of a numerical model,
as well as their need or not of information of the damaged structure to be applied. This state
of the art of the SHM methods highlights the requirement to reach each levels of SHM, which
is in particular for the localization of small damages in civil engineering structures the needs
for a non-model based output-only damage sensitive feature extraction technique. The origin of
the local sensitivity of strains to damages is also analyzed, which justifies their use for damage
localization.
A new method based on the modal filtering technique which consists in combining linearly
the sensor responses in a specific way to mimic a single degree of freedom system and which
was previously developed for damage detection is proposed. A very large network of dynamic
strain sensors is deployed on the structure and split into several independent local sensor networks.
Low computational cost and fast signal processing techniques are coupled to statistical
control charts for robust and fully automated damage localization.
The efficiency of the method is demonstrated using time-domain simulated data on a simply
supported beam and a three-dimensional bridge structure. The method is able to detect and
locate very small damages even in the presence of noise on the measurements and variability
of the baseline structure if strain sensors are used. The difficulty to locate damages from acceleration
sensors is also clearly illustrated. The most common classical methods for damage
localization are applied on the simply supported beam and the results show that the modal filtering
technique presents much better performances for an accurate localization of small damages
and is easier to automate.
An improvement of the modal filters method referred to as adaptive modal filters is next
proposed in order to enhance the ability to localize small damages, as well as to follow their
evolution through modal filters updating. Based on this study, a new damage sensitive feature
is proposed and is compared with other damage sensitive features to detect the damages with
modal filters to demonstrate its interest. These expectations are verified numerically with the
three-dimensional bridge structure, and the results show that the adaptation of the modal filters
increases the sensitivity of local filters to damages.
Experimental tests have been led first to check the feasibility of modal filters to detect damages
when they are used with accelerometers. Two case studies are considered. The first work
investigates the experimental damage detection of a small aircraft wing equipped with a network
of 15 accelerometers, one force transducer and excited with an electro-dynamic shaker. A
damage is introduced by replacing inspection panels with damaged panels. A modified version
of the modal filtering technique is applied and compared with the damage detection based principal
component analysis of FRFs as well as of transmissibilities. The three approaches succeed
in the damage detection but we illustrate the advantage of using the modal filtering algorithm as
well as of the new damage sensitive feature. The second experimental application aims at detecting
both linear and nonlinear damage scenarios using the responses of four accelerometers
installed on the three-storey frame structure previously developed and studied at Los Alamos
National Labs. In particular, modal filters are shown to be sensitive to both types of damages,
but cannot make the distinction between linear and nonlinear damages.
Finally, the new method is tested experimentally to locate damages by considering cheap
piezoelectric patches (PVDF) for dynamic strain measurements. Again, two case studies are investigated.
The first work investigates a small clamped-free steel plate equipped with 8 PVDFs sensors, and excited with a PZT patch. A small damage is introduced at different locations by
fixing a stiffener. The modal filters are applied on three local filters in order to locate damage.
Univariate control charts allow to locate automatically all the damage positions correctly.
The last experimental investigation is devoted to a 3.78m long I-steel beam equipped with 20
PVDFs sensors and excited with an electro-dynamic shaker. Again, a small stiffener is added to
mimic the effect of a small damage and five local filters are defined to locate the damage. The
damage is correctly located for several positions, and the interest of including measurements
under different environmental conditions for the baseline as well as overlapping the local filters
is illustrated.
The very nice results obtained with these first experimental applications of modal filters
based on strains show the real interest of this very low computational cost method for outputonly
non-model based automated damage localization of real structures.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
Elbadawy, Mohamed Mohamed Zeinelabdin Mohamed. "Dynamic Strain Measurement Based Damage Identification for Structural Health Monitoring." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/86167.
Ph. D.
All modern societies depend heavily on civil infrastructure systems such as transportation systems, power generation and transmission systems, and data communication systems for their day-to-day activities and survival. It has become extremely important that these systems are constantly watched and maintained to ensure their functionality. All these infrastructure systems utilize structural systems of different forms such as buildings, bridges, airplanes, data communication towers, etc. that carry the service and environmental loads that are imposed on them. These structural systems deteriorate over time because of natural material degradation. They can also get damaged due to excessive load demands and unknown construction deficiencies. It is necessary that condition of these structural systems is known at all times to maintain their functionality and to avoid sudden breakdowns and associated ensuing problems. This condition assessment of structural systems, now commonly known as structural health monitoring, is commonly done by visual onsite inspections manually performed at pre-decided time intervals such as on monthly and yearly basis. The length of this inspection time interval usually depends on the relative importance of the structure towards the functionality of the larger infrastructure system. This manual inspection can be highly time and resource consuming, and often ineffective in catching structural defects that are inaccessible and those that occur in between the scheduled inspection times and dates. However, the development of new sensors, new instrumentation techniques, and large data transfer and processing methods now make it possible to do this structural health monitoring on a continuous basis. The primary objective of this study is to utilize the measured dynamic or time varying strains on structural components such as beams, columns and other structural members to detect the location and level of a damage in one or more structural elements before they become serious. This detection can be done on a continuous basis by analyzing the available strain response data. This approach is expected to be especially helpful in alerting the owner of a structure by identifying the iv occurrence of a damage, if any, immediately after an unanticipated occurrence of a natural event such as a strong earthquake or a damaging wind storm.
Vongbandit, Pratip. "Morphology of surface damage resulting from static and dynamic contacts." Thesis, Brunel University, 2008. http://bura.brunel.ac.uk/handle/2438/3215.
Books on the topic "Dynamic damage":
Lambert, David Edward, Crystal L. Pasiliao, Benjamin Erzar, Benoit Revil-Baudard, and Oana Cazacu, eds. Dynamic Damage and Fragmentation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119579311.
Morassi, Antonino, and Fabrizio Vestroni, eds. Dynamic Methods for Damage Detection in Structures. Vienna: Springer Vienna, 2008. http://dx.doi.org/10.1007/978-3-211-78777-9.
Antonino, Morassi, Vestroni F, and International Centre for Mechanical Sciences., eds. Dynamic methods for damage detection in structures. Wien: Springer, 2008.
Reifsnider, K. L. Damage tolerance and durability of material systems. New York: Wiley Interscience, 2002.
Minnetyan, Levon. Progression of damage and fracture in composites under dynamic loading. [Washington, D.C.]: National Aeronautics and Space Administration, 1990.
China) International Conference on Damage Assessment of Structures (8th 2009 Beijing. Damage assessment of structures VIII: DAMAS 2009 : selected peer reviewed papers from the 8th International Conference on Damage Assessment of Structures (DAMAS 2009), Beijing, China, 3rd to 5th August 2009. Stafa-Zurich: Trans Tech, 2009.
International Conference on Damage Assessment of Structures (5th 2003 Southampton, England). Damage assessment of structures: Proceedings of the 5th International Conference on Damage Assessment of Structures (DAMAS 2003), Southampton, UK, 1st to 3rd July, 2003. Edited by Dulieu-Barton J. M. Uetikon-Zuerich, Switzerland: Trans Tech Publications Ltd., 2003.
International Conference on Damage Assessment of Structures (4th 2001 Cardiff, Wales). Damage assessment of structures: Proceedings of the 4th International Conference on Damage Assessment of Structures (DAMAS 2001), Cardiff, Wales, UK, June 25th-28th, 2001. Edited by Holford K. M. Uetikon-Zuerich, Switzerland: Trans Tech Publications Ltd., 2001.
Sensburg, Otto K. Damage detection of aircraft structures using dynamic analysis and testing methods. Manchester: University of Manchester, 1993.
Jozef Cornelis Walterus van Vroonhoven. Dynamic crack propagation in brittle materials: Analyses based on fracture and damage mechanics. Eindhoven: Eindhoven University of Technology, 1996.
Book chapters on the topic "Dynamic damage":
Zhang, Wohua, and Yuanqiang Cai. "Dynamic Damage Problems of Damaged Materials." In Continuum Damage Mechanics and Numerical Applications, 723–910. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04708-4_9.
Longère, Patrice. "Some Issues Related to the Modeling of Dynamic Shear Localization-assisted Failure." In Dynamic Damage and Fragmentation, 1–51. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch1.
Wautier, Antoine, Jiaying Liu, François Nicot, and Fèlix Darve. "Bifurcation Micromechanics in Granular Materials." In Dynamic Damage and Fragmentation, 315–38. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch10.
Nie, Xu, William F. Heard, and Bradley E. Martin. "Influence of Specimen Size on the Dynamic Response of Concrete." In Dynamic Damage and Fragmentation, 339–64. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch11.
Zinszner, Jean-Luc, Benjamin Erzar, and Pascal Forquin. "Shockless Characterization of Ceramics Using High-Pulsed Power Technologies." In Dynamic Damage and Fragmentation, 365–85. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch12.
Kumar Rai, Nirmal, and H. S. Udaykumar. "A Eulerian Level Set-based Framework for Reactive Meso-scale Analysis of Heterogeneous Energetic Materials." In Dynamic Damage and Fragmentation, 387–416. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch13.
Favrie, Nicolas, and Sergey Gavrilyuk. "A Well-posed Hypoelastic Model Derived From a Hyperelastic One." In Dynamic Damage and Fragmentation, 417–27. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch14.
El Maï, Skander, Sèbastien Mercier, and Alain Molinari. "Analysis of the Localization Process Prior to the Fragmentation of a Ring in Dynamic Expansion." In Dynamic Damage and Fragmentation, 53–93. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch2.
Marigo, Jean-Jacques, and Arthur Geromel Fischer. "Gradient Damage Models Coupled With Plasticity and Their Application to Dynamic Fragmentation." In Dynamic Damage and Fragmentation, 95–141. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch3.
Kleiser, Geremy J., Benoit Revil-Baudard, and Oana Cazacu. "Plastic Deformation of Pure Polycrystalline Molybdenum." In Dynamic Damage and Fragmentation, 143–75. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119579311.ch4.
Conference papers on the topic "Dynamic damage":
Blaschke, Holger, Marco Jupe, Detlev Ristau, S. Martin, S. Bock, and E. Welsch. "Dynamic absorptance behavior of hybrid multilayers at 193 nm." In Boulder Damage, edited by Gregory J. Exarhos, Arthur H. Guenther, Keith L. Lewis, M. J. Soileau, and Christopher J. Stolz. SPIE, 2002. http://dx.doi.org/10.1117/12.461688.
Mao, Qinghua, and Xiaofeng Shen. "Dynamic Detection of Damage in Structure." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0379.
Peng, Shuang Jiu, and J. M. Peden. "Prediction of Filtration Under Dynamic Conditions." In SPE Formation Damage Control Symposium. Society of Petroleum Engineers, 1992. http://dx.doi.org/10.2118/23824-ms.
Taylor, Lucas N., Andrew K. Brown, Kyle D. Olson, and Joseph J. Talghader. "High-speed quantitative phase imaging of dynamic thermal deformation in laser irradiated films." In SPIE Laser Damage, edited by Gregory J. Exarhos, Vitaly E. Gruzdev, Joseph A. Menapace, Detlev Ristau, and MJ Soileau. SPIE, 2015. http://dx.doi.org/10.1117/12.2195107.
Cheng, L., S. I. Kam, M. Delshad, and W. R. Rossen. "Simulation of Dynamic Foam-Acid Diversion Processes." In SPE European Formation Damage Conference. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/68916-ms.
Grove, Brenden Michael, Jeremy P. Harvey, and Lang Zhan. "Perforation Cleanup via Dynamic Underbalance: New Understandings." In SPE European Formation Damage Conference. Society of Petroleum Engineers, 2011. http://dx.doi.org/10.2118/143997-ms.
Liu, Xiaoguang, Wenshen Hua, and Tong Guo. "Dynamic thermal model of photovoltaic cell illuminated by laser beam." In Pacific Rim Laser Damage, edited by Jianda Shao, Takahisa Jitsuno, Wolfgang Rudolph, and Meiping Zhu. SPIE, 2015. http://dx.doi.org/10.1117/12.2187212.
Opedal, Nils van der Tuuk, Pierre Cerasi, and Jan David Ytrehus. "Dynamic Fluid Erosion on Filter Cakes." In SPE European Formation Damage Conference & Exhibition. Society of Petroleum Engineers, 2013. http://dx.doi.org/10.2118/165107-ms.
Yoo, David, and Jiong Tang. "Vibration-Based Structural Damage Identification Under Interval Uncertainty." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9874.
Gasmi, Khaled, Bianca Alarcon, Monica Guerrero, and Mohamed Daoud. "Restored Productivity Using Dynamic Underbalance." In SPE European Formation Damage Conference and Exhibition. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/174172-ms.
Reports on the topic "Dynamic damage":
Ju, Frederick D. Structure Dynamic Theories for Damage Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada203209.
Chen, E. P. Nonlocal effects on dynamic damage accumulation in brittle solids. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/176785.
A.L. Cundy. Use of Response Surface Metamodels in Damage Identification of Dynamic Structures. Office of Scientific and Technical Information (OSTI), May 2003. http://dx.doi.org/10.2172/812182.
Khan, Akhtar S. Dynamic and Quasi-Static Multiaxial Response of Ceramics and Constitutive/Damage Modeling. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada391958.
Zacharia, Nicole S., Ryan Davis, Xiayun Huang, and Hsiu-chin Huang. Tailoring Dynamic Mechano-Responsive Polymer Systems for Energy Dissipation and Damage Resistance. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada594871.
Ghosh, Somnath. Multi-Scale Dynamic Computational Models for Damage and Failure of Heterogeneous Materials. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada459374.
Farrar, C. R., W. E. Baker, T. M. Bell, K. M. Cone, T. W. Darling, T. A. Duffey, A. Eklund, and A. Migliori. Dynamic characterization and damage detection in the I-40 bridge over the Rio Grande. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/10158042.
Khan, Akhtar S. Dynamic Multi-Axial Loading Response and Constitutive/Damage Modeling of Titanium and Titanium Alloys. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada455627.
Ju, J. W. Dynamic Rate Dependent Elastoplastic Damage Modeling of Concrete Subject to Blast Loading: Formulation and Computational Aspects. Fort Belvoir, VA: Defense Technical Information Center, October 1990. http://dx.doi.org/10.21236/ada229964.
Ko, Yu-Fu, and Jessica Gonzalez. Fiber-Based Seismic Damage and Collapse Assessment of Reinforced Concrete Single-Column Pier-Supported Bridges Using Damage Indices. Mineta Transportation Institute, August 2023. http://dx.doi.org/10.31979/mti.2023.2241.