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Wang, Wei, Jie Chen, Bo Diao, Xuefei Guan, Jingjing He und Min Huang. „Bayesian Fatigue Life Prediction of Corroded Steel Reinforcing Bars“. Advances in Civil Engineering 2021 (28.12.2021): 1–15. http://dx.doi.org/10.1155/2021/4632152.
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This paper presents a general method for fatigue life prediction of corroded steel reinforcing bars. A fatigue testing on standard specimens with pitting corrosion is carried out to obtain corrosion fatigue data. The maximum corrosion degree (MCD), characterizing the most severe site of the corrosion pit, is identified to have a log-linear relationship with the fatigue life. A fatigue life model incorporating the MCD and the stress range for corroded steel reinforcing bars is proposed. The model parameters are identified using the testing data, and the model is considered as the baseline model. To utilize the proposed model for life prediction of corroded steel reinforcing bars with different geometries and working conditions, the Bayesian method is employed to update the baseline model. The effectiveness of the overall method is demonstrated using independent datasets of realistic steel reinforcing bars.
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Hyland, C. W. K., und A. Ouwejan. „Fatigue of reinforcing bars during hydro-demolition“. Journal of Physics: Conference Series 843 (Mai 2017): 012033. http://dx.doi.org/10.1088/1742-6596/843/1/012033.
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Li, Shibin, Hongwei Tang, Qiang Gui und Zhongguo John Ma. „Fatigue behavior of naturally corroded plain reinforcing bars“. Construction and Building Materials 152 (Oktober 2017): 933–42. http://dx.doi.org/10.1016/j.conbuildmat.2017.06.173.
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Real, Enrique, Cristina Rodríguez, A. Fernández Canteli und F. Javier Belzunce. „Influence of the Shot Peening Process on the Fatigue Behaviour of Duplex Stainless Steel Reinforcing Bars“. Materials Science Forum 539-543 (März 2007): 4981–86. http://dx.doi.org/10.4028/www.scientific.net/msf.539-543.4981.
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The influence of shot peening on the fatigue properties of duplex stainless steel reinforcing bars manufactured using both hot and cold rolled processes was studied. From determination of the S-N curves, the experimental results show that shot peening improves the fatigue behaviour of the re-bars, but that the improvement is much greater for the hot rolled bars. A more severe peening action capable of promoting greater plastic deformation of the bar surface needs to be used to improve the fatigue resistance of cold rolled corrugated bars.
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Koulouris, Konstantinos F., und Charis Apostolopoulos. „Fatigue damage indicator of different types of reinforcing bars“. International Journal of Structural Integrity 13, Nr. 4 (28.03.2022): 632–48. http://dx.doi.org/10.1108/ijsi-10-2019-0103.
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PurposeAs it is widely known, corrosion constitutes a major deterioration factor for reinforced concrete (RC) structures which are located on coastal areas. This phenomenon combined with repeated loads, as earthquake events, negatively affects their service life. Moreover, microstructure of steel reinforcing bars has significant impact either on their corrosion resistance or on their fatigue life.Design/methodology/approachIn the present manuscript an effort has been made to investigate the effect of corrosive factor on fatigue response for two types of steel reinforcement; Tempcore steel reinforcing bars and a new generation dual phase (DP) steel reinforcement.FindingsThe findings of this experimental study showed that DP steel reinforcement led to better results regarding its capacity to bear repeated loads to satisfactory degree after corrosion, although this type of steel has less stringent mechanical properties.Originality/valueAdditionally, a fatigue damage material indicator is proposed as a parameter that could rank material quality and its suitability for a certain application. The results of this investigation showed that the fatigue damage indicator can be used as an appropriate index in order to evaluate the overall performance of materials, in terms of strength and ductility capacity.
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Li, Shibin. „Fatigue of Reinforcing Steel Bars Subjected to Natural Corrosion“. Open Civil Engineering Journal 5, Nr. 1 (29.04.2011): 69–74. http://dx.doi.org/10.2174/1874149501105010069.
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Traffic volume increase and higher proportion of heavier trucks have raised the potential risk of fatigue failure of short-span reinforced concrete beams. To investigate the fatigue behavior of short-span reinforced concrete beams with and without the overload effect, nine 5 m reinforced concrete T-beams were cast and tested. Two beams were tested under static loading to determine the ultimate strength; the remaining seven beams were subjected to cyclic loading with constant-amplitude load ranges. In addition, two of the seven beams were subjected to instant overloading. It was observed that the typical failure mode under cyclic loading was the fatigue fracture of tensile reinforcing bars. The introduction of instant overloading resulted in a remarkable reduction of fatigue life. Among all the parameters, the stress range of the reinforcing bars showed the highest effect on the fatigue life. In the end, the fatigue safety provisions in the current reinforced concrete beam design codes were evaluated based on the fatigue limits and S-N curves.
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Islam, M. A. „Essential Mechanical Properties of Structural Steels for Steel Reinforced Buildings in the Earthquake Sensitive Areas“. Journal of Scientific Research 4, Nr. 1 (23.12.2011): 51. http://dx.doi.org/10.3329/jsr.v4i1.7069.
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Includes corrigenda (inserted at front) and list of publications published as a result of this research. Includes bibliographical references (leaves 192-199) Investigates the overload behaviour and modes of collapse of reinforced concrete flexural members containing 500MPa grade reinforcing steel and evaluates the adequacy of current ductility requirements for design according to AS 3600 to ensure strength and safety.
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Gravina, Rebecca Jane. „Non-linear overload behaviour and ductility of reinforced concrete flexural members containing 500MPa grade steel reinforcement / by Rebecca Jane Gravina“. Thesis, 2002. http://hdl.handle.net/2440/21791.
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Includes corrigenda (inserted after title page) and list of publications published as a result of this research. Includes bibliographical references (leaves 192-199) xxvii, 223 leaves : ill. ; 30 cm. Investigates the overload behaviour and modes of collapse of reinforced concrete flexural members containing 500MPa grade reinforcing steel and evaluates the adequacy of current ductility requirements for design according to AS 3600 to ensure strength and safety. Thesis (Ph.D.)--University of Adelaide, Dept. of Civil and Environmental Engineering, 2002
Buchteile zum Thema "Reinforcing bars Fatigue":
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Abatta-Jácome, Lenin, Carlos Naranjo-Guatemala, Daniel Naranjo-Torres und Edison E. Haro. „Experimental Study of Low Cycle Fatigue in Welded Reinforcing Steel Bars ASTM A706“. In Communications in Computer and Information Science, 3–15. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24971-6_1.
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Real, Enrique, Cristina Rodríguez, A. F. Canteli und F. J. Belzunce. „Influence of the Shot Peening Process on the Fatigue Behaviour of Duplex Stainless Steel Reinforcing Bars“. In THERMEC 2006, 4981–86. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-428-6.4981.
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Ishikawa, Y., M. Aoyama, Y. Adachi und M. Nagai. „Damage assessment of reinforced concrete decks due to chloride-induced corrosion of reinforcing bars and fatigue“. In Bridge Maintenance, Safety, Management, Resilience and Sustainability, 1659–66. CRC Press, 2012. http://dx.doi.org/10.1201/b12352-241.
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M. Kashani, Mohammad, Adam J. Crewe und Nicholas A. Alexander. „Damage propagation in corroded reinforcing bars with the effect of inelastic buckling under low-cycle fatigue loading“. In Life-Cycle of Engineering Systems, 1996–2002. CRC Press, 2016. http://dx.doi.org/10.1201/9781315375175-262.
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Konferenzberichte zum Thema "Reinforcing bars Fatigue":
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Braconi, A., F. Braga, S. Caprili, R. Gigliotti und W. Salvatore. „INFLUENCE OF LOW-CYCLE FATIGUE AND CORROSION PHENOMENA ON THE DUCTILE BEHAVIOUR OF STEEL REINFORCING BARS“. In 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2014. http://dx.doi.org/10.7712/120113.4787.c1537.
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Lunabba, Torsten, Milla Ranta, Kimmo Julku, Heikki Lilja und Timo Tirkkonen. „Evaluating the Residual Lifetime of Road Bridges Through Simulation“. In IABSE Conference, Copenhagen 2018: Engineering the Past, to Meet the Needs of the Future. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/copenhagen.2018.008.
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<p>In 2015-2016 Destia Ltd conducted a study to examine the stress variations caused by actual traffic on two-lane road bridges. Actual traffic was studied using a purposely developed simulation software. Destia Ltd collected data of the traffic flow from automatic monitoring stations. An article based on the research was presented at the 19th IABSE Congress Stockholm, 21-23 September 2016 [1].<p> This study expands the previous analysis to include the determination of equivalent stresses that are used to estimate the fatigue damage of structural steel and reinforcing steel bars caused by actual traffic flow and to evaluate the remaining lifetime of the three existing bridges. Two of the bridges were composite bridges and one a reinforced concrete bridge. In addition to the simulated traffic the bridges were also loaded with eurocode’s static load model LM1 and fatigue load models FLM1 and FLM3. At the end, the results were compared to the simulated results.<p> This article focuses on the results of one of the examined bridges, Liisanniemi bridge, which is a composite bridge with 58m + 78m + 58 m spans and 8,5m width. The main results of fatigue analysis of reinforcing steel bars are also shortly presented at the end of the article.
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Jansto, Steven G. „New Generation Structural Steel Plate Metallurgy for Meeting Offshore and Arctic Application Challenges“. In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77723.
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The new generation of value-added low carbon-low manganese-niobium microalloyed structural steels for both low and high yield strength, energy absorption, fatigue and fracture resistant applications is under development for offshore and arctic materials engineering applications. These materials engineering considerations are shifting designers to consider new lower cost and more robust construction materials even for low yield strength applications require improved fatigue, fracture arrest and toughness performance. The civil engineering and end user community demand structural reinforcing bars, shapes, beams and plates with improved energy absorption and fatigue properties. With more severe climatic conditions evolving every day, demands also necessitate improved fire and seismic resistance, yield-to-tensile ratio consistency, improved bendability and weldability. These attributes are difficult to obtain from steel producers today with their current higher carbon microalloyed steel approaches and hot rolling practices. There is a global shift in motion to low C-Nb-Mn bearing construction steels displacing traditional materials. The technological and metallurgical advancements of value-added niobium (Nb) microalloyed thermo-mechanical controlled process (TMCP) plate steels have been further developed to meet more demanding fatigue, fracture and low temperature toughness end user requirements. Niobium enables achievement of substantial grain refinement and grain size uniformity when the plate is rolled with the proper reduction, thermal schedule and process metallurgical operational practices. The effects of microalloying elements on the continuous cooling transformation behavior must be carefully controlled during the process metallurgy of the reheating and rolling process to successfully achieve the desired mechanical properties. TMCP applications have been successfully developed in numerous product sectors with thickness exceeding 120 mm. Since the very fine grained microstructure improves toughness and increases the yield strength, this Nb-TMCP process enables the required tensile properties with the growing trend to leaner chemical composition designs (less than 0.10%C) and excellent toughness properties. From an operational cost perspective, in today’s very competitive market environment, there exists a huge opportunity for structural offshore and arctic plate producing steel mills to improve their profitability by thoroughly assessing a shift to lower carbon and manganese steels in their product mix. Through the adoption of these lower carbon Nb-containing structural materials, several design and/or manufacturing companies are initiating new offshore steel designs that will further provide improved overall lifetime and cost performance at reduced maintenance expense. These high strength plate steels offer the opportunity to manufacture complex heavy-lift and fatigue-critical components for larger offshore structures without increasing the weight of the platforms.
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Yoneda, Taiju, Jie Fang, Hideyuki Otani, Satoshi Tsuchiya, Satoru Oishi und Tetsuya Ishida. „Development of a 3D Finite-Element Modelling Generation System Based on Data Processing Platform and Fatigue Analysis of Full-Scale Reinforced-Concrete Bridge“. In IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2022. http://dx.doi.org/10.2749/prague.2022.0415.
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<p>This study presents a technology development for creating 3D finite-element full-scale bridge models based on a data processing platform (DPP) and explores the trial fatigue analysis to serve as an important reference for future practical applications. Until now, the model generation, validation and calculation for a large-scale model of conventional method consume huge time and money. Currently, developments in High- Performance Computing (HPC) and preparation for large parallel computers make numerical simulation operation more efficient. Moreover, through the grouping structure technique, different types of data can be linked together. In this research, a 3D finite-element full-scale bridge superstructure model was created using the DPP. A trial fatigue analysis was performed using a high-performance computer. By considering the details such as the position of each reinforcing bar, prestressed tendon, the slope, etc., the DPP model more closely captures the real structure. Therefore, it could be said that the model made by the DPP has higher analytical accuracy. This research paved the way for the implementation of large-scale fatigue analysis, which has significant engineering applications prospects.</p>
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Chen, Jie, und Yongming Liu. „Bayesian Information Fusion of Multmodality Nondestructive Measurements for Probabilistic Mechanical Property Estimation“. In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23411.
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Abstract Missing data occur when no data value is available for the variable in an observation. In this research, Bayesian data augmentation method is adopted and implemented for prediction with missing data. The data augmentation process is conducted through Bayesian inference with missing data assuming the multivariate normal distribution. Gibbs sampling is used to draw posterior simulations of the joint distribution of unknown parameters and unobserved quantities. The missing elements of the data are sampled conditional on the observed elements. The distribution of model parameters and variables with missing data can be obtained for reliability analysis. Two examples are given to illustrate the engineering application of Bayesian inference with missing data. The first example is to predict the yield strength of aging pipeline by fusing the incomplete surface information with missing data. The predictive performance is compared among direct surface indentation technique, linear regression with complete data and Bayesian inference with missing data. The second example is to predict the fatigue life of corroded steel reinforcing bar from the incomplete input dataset. The predicted fatigue lives are compared with experimental data. Both examples demonstrate that the Bayesian method can deal with missing data problem properly and show good predictive performance.
