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Artykuły w czasopismach na temat "Fatigue lifespan"
Nagórska, M., R. Nagórski i K. Błażejowski. "Selected Aspects Of Design Lifespan Of Flexible Pavement With Anti-Fatigue Course". Archives of Civil Engineering 61, nr 1 (1.03.2015): 103–18. http://dx.doi.org/10.1515/ace-2015-0007.
Pełny tekst źródłaQin, Zhen, i Wen Tao Xu. "Random Dynamic Fatigue Analysis of Body Structures of Coach". Applied Mechanics and Materials 97-98 (wrzesień 2011): 765–70. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.765.
Pełny tekst źródłaLiu, Zhongxiang, Tong Guo, Xiaming Yu, Shilei Niu i José Correia. "Corrosion Fatigue Assessment of Bridge Cables Based on Equivalent Initial Flaw Size Model". Applied Sciences 13, nr 18 (11.09.2023): 10212. http://dx.doi.org/10.3390/app131810212.
Pełny tekst źródłaWu, Y. J. "Low-Cycle Fatigue Behavior of Hydrostatic Extruded AZ80 Mg Alloy". Journal of Physics: Conference Series 2694, nr 1 (1.01.2024): 012026. http://dx.doi.org/10.1088/1742-6596/2694/1/012026.
Pełny tekst źródłaLepagneul, Juliette, Loïc Tadrist, Jean-Michel Sprauel i Jean-Marc Linares. "Fatigue lifespan of a planetary roller-screw mechanism". Mechanism and Machine Theory 172 (czerwiec 2022): 104769. http://dx.doi.org/10.1016/j.mechmachtheory.2022.104769.
Pełny tekst źródłaMironov, Vladimir I., Dmitry A. Ogorelkov i Olga A. Lukashuk. "Analysis of Fatigue Damage Accumulation in Structural Materials under Quasi-Random Load". Solid State Phenomena 299 (styczeń 2020): 1178–83. http://dx.doi.org/10.4028/www.scientific.net/ssp.299.1178.
Pełny tekst źródłaDomingo-Espin, Miquel, J. Antonio Travieso-Rodriguez, Ramon Jerez-Mesa i Jordi Lluma-Fuentes. "Fatigue Performance of ABS Specimens Obtained by Fused Filament Fabrication". Materials 11, nr 12 (11.12.2018): 2521. http://dx.doi.org/10.3390/ma11122521.
Pełny tekst źródłaJerez-Mesa, R., J. A. Travieso-Rodriguez, J. Llumà-Fuentes, G. Gomez-Gras i D. Puig. "Fatigue lifespan study of PLA parts obtained by additive manufacturing". Procedia Manufacturing 13 (2017): 872–79. http://dx.doi.org/10.1016/j.promfg.2017.09.146.
Pełny tekst źródłaQiu, Ju, Jingwei Shi, Huaizhong Su, Jinling Zhang, Juan Feng, Qian Shi i Xiaoyu Tian. "Fatigue Lifespan of Engine Box Influenced by Fan Blade Out". IOP Conference Series: Materials Science and Engineering 265 (listopad 2017): 012026. http://dx.doi.org/10.1088/1757-899x/265/1/012026.
Pełny tekst źródłaDing, Chao Yi, Gang Qiang Li i Hong Che Guo. "Fatigue Analysis of Wind Turbine". Applied Mechanics and Materials 229-231 (listopad 2012): 621–24. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.621.
Pełny tekst źródłaRozprawy doktorskie na temat "Fatigue lifespan"
Monballiu, Franck, i Wouter Schils. "The effect of increasing train lengths on the fatigue lifespan of a bridge". Thesis, KTH, Bro- och stålbyggnad, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187868.
Pełny tekst źródłaSkrzat, Julie Marie. "Muscle Fatigue and Recovery Across the Lifespan in Adults who are Healthy and Critically Ill". Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/446184.
Pełny tekst źródłaPh.D.
Muscle performance, particularly muscle fatigue and muscle recovery, impact an individual’s function and participation in activities of life. Most notably, older adults with medical co-morbidities experience impaired muscle performance from the natural aging process, cumulative effects of a sedentary lifestyle, or imposed bedrest, contributing to a significant reduction in health and quality of life.1 Exercise, particularly muscle strength, endurance, and power training, is considered “medicine” and often prescribed to improve the health and well-being of older adults, as well as younger adults.2 An appropriate exercise prescription requires knowledge of muscle fatigue and recovery in order to optimize the exercise program without preventing further muscle damage. Muscle fatigue and recovery have been characterized using frequency analyses of surface electromyography (sEMG) during muscle activation.3 Surface EMG measures electrical activity of a muscle, providing insight into muscle activation patterns.4 Conveniently, the sensors for sEMG are noninvasive, wireless, and compact, allowing capture of movement in a multitude of environments with minimal impact on typical movement patterns. By using sEMG to assess patterns during and after sustained isometric and dynamic knee extension, we hoped to determine baseline muscle fatigue and recovery patterns in subjects with no physical limitations for comparison with adults who are critically ill. The primary objective of this study is to improve our understanding of muscle fatigue and recovery in adults who are critically ill using sEMG technology and experimental procedures to be used in an intensive care unit (ICU) environment. We proposed to study muscle fatigue and recovery using sEMG through muscle activation analysis. The specific aims were to 1) measure time to task failure (TTTF) after a sub-maximal isometric contraction and dynamic contraction in adults who were healthy younger (HY), adults who were healthy older (HO) adults, and adults who were critically ill (CI); 2) measure time to muscle recovery after a sub-maximal isometric contraction and dynamic contraction in HY, HO, and CI; and 3) characterize a relationship between TTTF and time to recovery. Our hypotheses were that 1) CI would demonstrate a shorter TTTF than healthy subjects during an isometric contraction and dynamic contraction; 2) HY would demonstrate a shorter time to recovery, followed by HO, then CI after both an isometric contraction and dynamic contractions; and 3) there was no relationship between TTTF and time to recovery within group. Muscle fatigue and recovery were measured in the rectus femoris and vastus lateralis using sEMG. During a single 90 minute session, subjects participated in a 3 phase protocol: baseline strength measures, fatiguing contraction, and recovery contractions. The fatiguing contraction and subsequent recovery measures were performed twice – under isometric and dynamic conditions. Recovery measures were taken at termination (analysis point C), 1 minute (analysis point D), and ≥ 5 minutes (analysis point E). Sub-maximal indicated that the individual decided how long to keep their knee extended and stopped the contraction on their own at any time. Time to task failure and time to recovery amongst all 3 groups (HY, HO, and CI) were the basis for analysis of the dependent variables of sEMG – time (seconds) and median frequency (Fmed). After the isometric contraction, CI fatigued first, followed by HY, then HO. There was a statistically significant difference among TTTF and group (chi-squared with two degrees of freedom, p = 0.03). A Wilxocon rank sum test showed statistically significant differences between HY and HO (p = 0.03) and HO and CI (p = 0.02), but no statistically significant difference between HY and CI (p = 0.45). After the dynamic contraction, CI fatigued first, followed by HO, then HY. There was a statistically significant difference among TTTF and group (chi-squared with two degrees of freedom, p = 0.04). A Wilxocon rank sum test showed statistically significant difference between HY and CI (p = 0.02) and HO and CI (p = 0.02), but no statistically significant difference between HY and HO (p = 0.73). Chi-squared analysis between time to recovery and age group for both an isometric and dynamic contractions was performed. There was not a statistically significant difference for time to recovery between groups. After the isometric contraction, for the rectus femoris, all groups had a high percentage of subjects finish at analysis point E, with HY and HO having the same percentage recover at analysis point C and D, respectively. For the vastus lateralis, among the three groups, the HY had the highest percentage recovered at analysis point C. However, the largest percentage of HY subjects recovered at analysis point E. The HO and CI had the same percentage of subjects within group recover at analysis point D and E. After a dynamic contraction, for the rectus femoris, the highest percentage of HY and HO recovered at analysis point C, and CI at analysis point E. For the vastus lateralis, all groups had the highest percentage of subjects recover at analysis point C, with the HO and CI having all subjects recover before analysis point E. Our third hypothesis was that there was no relationship between TTTF and time to recovery within group. For an isometric contraction, the HY’s rectus femoris and vastus lateralis demonstrated a very weak – weak, positive correlation between TTTF and time to recovery. For a dynamic contraction, all, with the exception of HO’s vastus lateralis and CI’s rectus femoris, showed no association. HO’s vastus lateralis showed a weak, positive correlation, while the CI’s rectus femoris showed a moderate, negative correlation. None were statistically significant. This was the first study, to our knowledge, that studied muscle fatigue and muscle recovery using sEMG in patients with critical illness. From a study design perspective, the use of sEMG using Bluetooth technology was safe and feasible in the ICU setting. No adverse effects and excessive soreness were reported in CI. From a clinical perspective, despite a small sample size, CI showed comparable time to task failure and recovery time frames to HY and HO, indicating that perhaps patients do not need extensive five to ten minute rest breaks as commonly provided. Consideration to applied weight, as well as muscle fatigue and muscle recovery, should be given when designing an exercise program to appropriately tax the vulnerable muscle, while still preventing further muscle damage. Future research warrant a larger, more homogenous group of subjects, including similar diagnosis, severity of illness, and supplemental oxygenation. Secondly, efforts should be made to conduct testing in the ICU around comparable days to their length of stay. Thirdly, ideal testing should be performed prior to initiation of early mobility to capture a more authentic representation of muscle fatigue and recovery, resulting from ICUAW. All three modifications would assist in making results more generalizable. In addition, follow up sEMG analysis should be conducted to assess the effect of therapeutic interventions on muscle strength, fatigue, and recovery. Consideration must also be given to medical management, including sedatives and paralytics, as well as pH, which if in a more acidotic state, has greater hydrogen ions, which could influence fatigue. Lastly, being that sepsis is a primary admitting diagnosis and these individuals may present with muscle weakness that is not necessarily ICUAW, efforts should be made to assess if there is a difference in sEMG signals between muscle wasting from sepsis and ICUAW.
Temple University--Theses
Echerradi, Insaf. "Modèle rapide de plasticité cristalline dans les polycristaux pour la fatigue à grand nombre de cycles". Electronic Thesis or Diss., Marne-la-vallée, ENPC, 2023. http://www.theses.fr/2023ENPC0038.
Pełny tekst źródłaThis thesis concerns the study of the reliability of structures working in fatigue. One of the most important subjects is the understanding and modelling of fatigue phenomena in both normal and accidental situations. In polycrystals, these phenomena are of a probabilistic nature: for the same cyclic loading, two macroscopically identical specimens have different lifetimes. This is because the microstructures exhibit a certain variability. The traditional approach is to establish S-N curves experimentally. Due to the random nature of the fatigue phenomena, this experimental procedure must be repeated a large number of times to be statistically representative. It is generally considered that the safe prediction of service life for a given loading level is the average number of cycles to failure minus twice the standard deviation. This approach is extremely cumbersome in terms of experimental effort, but also inadequate from the point of view of risk analysis.The main objective of this work is to develop a polycrystalline evolution model integrating plasticity and fracture, sufficiently fast in calculation time to allow probabilistic analysis and applicable on the scale of an entire structure. The proposed model is based on the principle of minimising incremental energy and targets low-amplitude loading, for which plasticity is confined to a few critical grains that are assumed to be distant from one another and loaded according to a single sliding system. Initially, we assume isotropic and linear kinematic strain hardening, neglecting elastic interactions between critical grains. The plastic slip increment in each critical grain is then obtained as an explicit function of the material parameters, the loading, and a localization tensor determined entirely by the grain geometry and its elastic moduli. For ellipsoidal grains, this location tensor is identified with the Eshelby tensor. The validity of the model is studied by comparison with finite element calculations. The model is then extended to take into account the dominant effects of elastic interaction between grains. Based on an analysis of dislocations, a non-linear strain-hardening law is also proposed, showing the effect of grain size. An extension of the polycrystalline model to this type of law is presented.For cyclic loading, the proposed approach makes it possible to calculate the incremental evolution of a polycrystal using analytical recurrence formulae, without requiring any spatial discretisation. In the simplest situation, where elastic interactions are neglected, direct formulae are obtained giving the stabilized state reached after a large number of cycles. This polycrystalline model is used to analyse the sensitivity of fatigue life to microstructural parameters such as grain size, morphological and crystallographic textures. The influence of the stress gradient is also discussed. Finally, the applicability of the model to real structures is illustrated by the study of stents, small biomedical devices that are subjected to cyclic loading due to heartbeats and for which fatigue life is crucial
Części książek na temat "Fatigue lifespan"
Rudzik, Alanna E. F., i Helen L. Ball. "Baby-Lag: Methods for Assessing Parental Tiredness and Fatigue". W Biological Measures of Human Experience across the Lifespan, 29–46. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44103-0_3.
Pełny tekst źródłaLarson, Enoch Asuako, Salifu Tahiru Azeko, Eric Akowuah, Prince Owusu Ansah, Samuel Adu-Gyamfi, Augustine Kwame Milku, Jamal-Deen Kukurah, Philip Yamba, Jacob Kofi Mensah i Anthony Akayeti. "The Impact of 3 J Laser Pulse Energy to Enhance the Fatigue Lifespan of AA2024-T351 Induced via LSP". W Technological Innovation Driving Sustainable Entrepreneurial Growth in Developing Nations, 1–27. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-9843-9.ch001.
Pełny tekst źródłaGomes, Gilberto, Thiago Oliveira i Francisco Evangelista Jr. "A Probabilistic Approach in Fuselage Damage Analysis via Boundary Element Method". W Advances in Fatigue and Fracture Testing and Modelling [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98982.
Pełny tekst źródłaHu, Qiushi, Chao Wang, Shangwu Xue, Heng Li i Lei Li. "Structural Parameter Optimization and Fatigue Life Analysis of POM Flexspline in Harmonic Drive". W Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230467.
Pełny tekst źródłaXu, Jingran, Tianyue Jiang, Jianwu Hou i Kunyu Gao. "Semiconductor-Based 650nm Class I Laser Eye Protector". W Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240071.
Pełny tekst źródłaStreszczenia konferencji na temat "Fatigue lifespan"
Costa, Francesco, Saeed Mozaffari, Reza Alirezaee, Madjid Ahmadi i Shahpour Alirezaee. "Prolonging Robot Lifespan Using Fatigue Balancing with Reinforcement Learning". W 2022 7th International Conference on Mechanical Engineering and Robotics Research (ICMERR). IEEE, 2022. http://dx.doi.org/10.1109/icmerr56497.2022.10097795.
Pełny tekst źródłaRath, B., B. Watson i Joel Glanville. "Rethinking Coiled Tubing String Lifespan Assessment: Leveraging Frequent Inspections for Enhanced Operational Insights". W SPE/ICoTA Well Intervention Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/218363-ms.
Pełny tekst źródłaSchmidt, Dilnei, Carlos A. Bardanachvili i Paulo M. Videiro. "Full Stochastic Fatigue Analysis of Stiffened Panels Subjected to Wave Slamming". W ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57788.
Pełny tekst źródłaNarita, Shuhei, Hidefumi Wakamatsu i Eiji Morinaga. "Bending Simulation of a Shielding Braid Toward its Lifespan Prediction". W 2020 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/isfa2020-9613.
Pełny tekst źródłaFortes Da Cruz, Julien, Isabelle Lemaire-Caron, Geneviève Inglebert, Anne-Marie Durand i Rafic Merhej. "Combined Study of Damage and Damping Phenomenon in Coated Contacts at Ambient Temperature". W ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82596.
Pełny tekst źródłaDominguez, Anthony, Armando Blanco, Euro Casanova, Nelson Loaiza i Janneth García. "Differences in Predicted Flow-Induced Vibration of Submarine Pipelines Considering Cross-Flow and Inline Oscillations and its Influence in Fatigue-Life". W ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65796.
Pełny tekst źródłaTrampert, Stefan, Taner Go¨cmez i Franz-Josef Quadflieg. "Thermomechanical Fatigue Life Prediction of Cast Iron Cylinder Heads". W ASME 2006 Internal Combustion Engine Division Spring Technical Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ices2006-1420.
Pełny tekst źródłaA, Amal, i Mohammed Thowsif. "A Review on the Mechanisms and Analysis of Fatigue in Ductile Materials". W International Web Conference in Civil Engineering for a Sustainable Planet. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.112.46.
Pełny tekst źródłaDompierre, B., E. Wyart, M. Mesbah i F. Thirifay. "Fatigue Crack Growth Analysis on a Rotor Blade Under Forced Response". W ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-94090.
Pełny tekst źródłaSingh, Manander, i Suhail Ahmad. "Fatigue Life Calculation of Deep Water Composite Production Risers by Rain Flow Cycle Counting Method". W ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41223.
Pełny tekst źródłaRaporty organizacyjne na temat "Fatigue lifespan"
INVESTIGATING FATIGUE MECHANISMS AND CRACK GROWTH IN 20MNTIB STEEL HIGH-STRENGTH BOLTS: AN EXPERIMENTAL AND SIMULATION STUDY. The Hong Kong Institute of Steel Construction, grudzień 2023. http://dx.doi.org/10.18057/ijasc.2023.19.4.2.
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