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Auswahl der wissenschaftlichen Literatur zum Thema „Artificial crack“
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Zeitschriftenartikel zum Thema "Artificial crack"
Raihan, Prodhan Md Safiq, Anik Md Shahjahan, Shamima Akter Shimky, Toki Thamid Zim, Summa Parven, Abdul Ali Khan und Mir Fazle Rabbi. „Pavement Crack Detection and Solution with Artificial Intelligence“. European Journal of Theoretical and Applied Sciences 2, Nr. 4 (01.07.2024): 277–314. http://dx.doi.org/10.59324/ejtas.2024.2(4).25.
Der volle Inhalt der QuelleKuttimarks, Dr M. S. „Crack Detection of Structures using Artificial Intelligence System“. International Journal for Research in Applied Science and Engineering Technology 12, Nr. 5 (31.05.2024): 1894–901. http://dx.doi.org/10.22214/ijraset.2024.61958.
Der volle Inhalt der QuelleWang, Zi Zhen, Ri He Wang, Yu Huan Bu und Xun Shan. „A New Method of Preparing Artificial Cores with Certain Cracks for Experiment Study of Elastic Wave Propagation“. Advanced Materials Research 356-360 (Oktober 2011): 2954–57. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.2954.
Der volle Inhalt der QuelleWu, Zhenkai, Xizhe Li, Hanmin Xiao, Xuewei Liu, Wei Lin, Yuan Rao, Yang Li und Jie Zhang. „The Establishment and Evaluation Method of Artificial Microcracks in Rocks“. Energies 14, Nr. 10 (12.05.2021): 2780. http://dx.doi.org/10.3390/en14102780.
Der volle Inhalt der QuelleSakamoto, Junji, Yoshimasa Takahashi und Hiroshi Noguchi. „Small Fatigue Crack Growth Behavior from Artificial Notch with Focused Ion Beam in Annealed 0.45% Carbon Steel“. Key Engineering Materials 488-489 (September 2011): 319–22. http://dx.doi.org/10.4028/www.scientific.net/kem.488-489.319.
Der volle Inhalt der QuelleFathalla, Eissa, Yasushi Tanaka, Koichi Maekawa und Akito Sakurai. „Quantitative Deterioration Assessment of Road Bridge Decks Based on Site Inspected Cracks“. Applied Sciences 8, Nr. 7 (21.07.2018): 1197. http://dx.doi.org/10.3390/app8071197.
Der volle Inhalt der QuelleHendroprasetyo, Wing, und Henry Haidar Jati Andrian. „Analysis of Eddy Current Testing Detection Ability to the Varied Longitudinal Cracks on Coated Weld Metal Tee Joint of 5083 Aluminum Ship Structure“. IOP Conference Series: Earth and Environmental Science 972, Nr. 1 (01.01.2022): 012041. http://dx.doi.org/10.1088/1755-1315/972/1/012041.
Der volle Inhalt der QuelleKim, Jung Jin, Ah-Ram Kim und Seong-Won Lee. „Artificial Neural Network-Based Automated Crack Detection and Analysis for the Inspection of Concrete Structures“. Applied Sciences 10, Nr. 22 (16.11.2020): 8105. http://dx.doi.org/10.3390/app10228105.
Der volle Inhalt der QuelleM N, Sumaiya, Prajwal K, Rao Shravan Vasudev, Shreya K A, Thrishul R und R. Manjunath Prasad. „Comparative Analysis of Concrete Crack Detection using Image Processing and Artificial Intelligence“. Journal of Image Processing and Artificial Intelligence 9, Nr. 1 (11.01.2023): 8–15. http://dx.doi.org/10.46610/joipai.2023.v09i01.002.
Der volle Inhalt der QuelleSun, Xichen, Jie Chen, Siyi Lu, Miaomiao Liu, Siyu Chen, Yifei Nan, Yang Wang und Jun Feng. „Ureolytic MICP-Based Self-Healing Mortar under Artificial Seawater Incubation“. Sustainability 13, Nr. 9 (25.04.2021): 4834. http://dx.doi.org/10.3390/su13094834.
Der volle Inhalt der QuelleDissertationen zum Thema "Artificial crack"
Rehman, Atiq-Ur. „An investigation of methods of reducing fatigue crack growth by artificial crack-closure effects“. Thesis, University of Salford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315379.
Der volle Inhalt der QuelleYang, Jidong. „Road crack condition performance modeling using recurrent Markov chains and artificial neural networks“. [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000567.
Der volle Inhalt der QuelleBezerra, Agnes. „The Use of Artificial Intelligence for Assessing Damage in Concrete Affected by Alkali-Silica Reaction (ASR)“. Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42730.
Der volle Inhalt der Quelle田中, 啓介, Keisuke TANAKA, 義明 秋庭, Yoshiaki AKINIWA, 博央 來海, Hirohisa KIMACHI, 和之 伊藤 und Kazuyuki ITOH. „防振ゴム材料における疲労き裂進展挙動へのJ 積分の適用“. 日本機械学会, 2003. http://hdl.handle.net/2237/9154.
Der volle Inhalt der QuelleFurfari, Domenico. „Short track growth from artificial defects in Ti-10V-2Fe-3Al : a study using optical techniques for crack measurements and detection“. Thesis, Cranfield University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427204.
Der volle Inhalt der QuelleHou, Chuanchuan. „Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model“. Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/20434.
Der volle Inhalt der QuelleIngabire, Annick, und Robin Olsson. „Standardization of Eddy Current Testing Calibration for Valve Spring Wire“. Thesis, KTH, Industriell produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232712.
Der volle Inhalt der QuelleEddy current testing (ECT) has become one of the most extensively used methods to secure theproducts and constructions when non-destructive testing is required. In typical cases of steel wiretesting, the equipment interacts with the tested material and discovers surface defects and, to alimited extent, if the inner structure is differing from the calibration sample. If the product isfound to be outside specification, it is either scrapped or reworked. This master thesis investigatesthe Eddy current testing calibration procedures performed by steel wire manufacturer SuzukiGarphyttan, which is one of the largest producers in the world of valve and transmission springwire for the automotive industry. By the research shown in this thesis, based on the investigationmade in scientific papers and by analyzing data extracted from production, a standardization ofthe calibration procedure is being presented. This is to secure both the testing reliability, andminimizing the risk of scrapping material due to inaccurate settings, for example due toinsufficient signal to noise (S/N) ratio. The focus is on probe-based, rotating testing, in this thesiscalled the circograph, since it is manually calibrated.Some of the findings established in the report: Standard Operating Procedures (SOP) based instructions is being implemented in thecompany's Quality system. This is to decrease the process variations between differentoperators and machines. Suggestions of intervals for values (Phase angle, gain, filter correction and so forth) arepresented. These values are based on collected unique production data from operators andmachines, as well as performed tests. The phase angles used are ranging between specific value intervals, and set by materialchoice in general and choice of frequency in particular. The conductivity and permeability values for oil-tempered wire, as well as penetrationdepth for three different frequencies, are presented. Hardening error cannot be detected in the circograph. Increased carbon content is decreasing conductivity and increasing resistivity, causing thephase to move slightly and decreasing the gap between noise signal and crack signal.
Nguyen, Thi Thu Trang. „Influence de l'effet de l'interface acier/béton (top-bar effect) sur la corrosion de structures en béton armé exposées en environnement de chlorures ou de carbonatation“. Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEI009.
Der volle Inhalt der QuelleReinforced concrete is known one of the most popular materials applied in construction. Nevertheless after a period of time it can be corroded. Chloride and carbonation are the main factors causing to corrosion in reinforced concrete structure. The thesis aimed to study the corrosion behavior of reinforcement concrete under carbonation or chloride environment, corresponding to the influence of top-bar effect, the cement type as well as artificial transverse crack or load-induced cracks.In general carbonation induced corrosion is usually researched from the point of view that it generates uniform corrosion. The first objective of the thesis is to confirm the opinion of macro cell or non-uniform corrosion in carbonated induced corrosion. According to the results of experiments in this part, corrosion rate in carbonated concrete reinforcement is likely to consider from the point of view of both uniform and macro cell corrosion, which is highly influenced by the ratio cathode/anode. In addition the application of CEM III using slag as addictive exhibited reduction of non-uniform corrosion effectively.The second part focuses on the influence of top-bar effect on corrosion behavior in the case carbonation induced corrosion and presence of load induced crack. Macro cell corrosion current monitoring was utilized in the experiment following the loss of mass as well as corrosion kinetic was calculated. Corrosions mainly developed at the position of the pre-cracks. Due to the top-bar effect upper bars were more corroded than bottom bars. Current corrosion value of top bars was observed higher than bottom bars. Loss of steel mass calculated from macro cell current measurement corresponds to only to a small part of the total loss of mass determined by gravimetric measurement. Uniform corrosion appears to be the main phenomena.The last part investigates the effect of top-bar effect in fibers concrete samples with or without artificial crack on chloride induced corrosion. The top steel bars are more corroded than the bottom bars and the upper part of the top bar is recorded higher corrosion than the lower part. In presence of artificial crack the top casting effect results that corrosions spread along the surface of the steel bars. Corrosion also spread along the top bar when there is no artificial crack, in a time not so different from the case of artificial crack. It confirms that top surface exposure and top bar effect are highly prejudicial for corrosion. By comparing the behavior with concrete without fibers, it appears that the addition of fibers in reinforced concrete leads to an increase of resistance to corrosion induced cracking.For each part, experimental observations are coupled with numerical simulations to compare as well as demonstrate the experimental results
Mirjana, Filipovic. „Evolution of artificial defects during shape rolling“. Licentiate thesis, Högskolan Dalarna, Materialvetenskap, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:du-5215.
Der volle Inhalt der QuelleDatsiou, Kyriaki Corinna. „Design and performance of cold bent glass“. Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/269408.
Der volle Inhalt der QuelleBücher zum Thema "Artificial crack"
Rehman, Atiq-Ur. An investigation of methods of reducing fatigue crack growth by artificial crack-closure effects. Salford: University of Salford, 1992.
Den vollen Inhalt der Quelle findenRosenberg, Tom, Brian Taylor und Mark Neveldine. Crank 2: High voltage. Santa Monica, Calif: Lionsgate, 2009.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Artificial crack"
Li, Wei, Xin’an Yuan, Jianming Zhao, Xiaokang Yin und Xiao Li. „Research on Real-time and High-Precision Cracks Inversion Algorithm for ACFM Based on GA-BP Neural Network“. In Alternating Current Field Measurement Technique for Detection and Measurement of Cracks in Structures, 1–13. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7255-1_1.
Der volle Inhalt der QuelleAravindkumar, S., P. Varalakshmi und Chindhu Alagappan. „Automatic Road Surface Crack Detection Using Deep Learning Techniques“. In Artificial Intelligence and Technologies, 37–44. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6448-9_4.
Der volle Inhalt der QuelleMahmud, Mat Nizam, Nur Nadhirah Naqilah Ahmad Sabri, Muhammad Khusairi Osman, Ahmad Puad Ismail, Fadzil Ahmad Mohamad, Mohaiyedin Idris, Siti Noraini Sulaiman, Zuraidi Saad, Anas Ibrahim und Azmir Hasnur Rabiain. „Pavement Crack Detection from UAV Images Using YOLOv4“. In Artificial Intelligence and Industrial Applications, 73–85. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43520-1_7.
Der volle Inhalt der QuelleRoul, Rajendra Kumar, Navpreet und Jajati Keshari Sahoo. „Ensemble-Based Road Surface Crack Detection: A Comprehensive Approach“. In Big Data and Artificial Intelligence, 166–84. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49601-1_12.
Der volle Inhalt der QuelleNabizadeh, Elham, und Anant Parghi. „Deep Learning-Based Concrete Crack Detection Using YOLO Architecture“. In Artificial Intelligence and Smart Vehicles, 182–93. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43763-2_11.
Der volle Inhalt der QuellePalanisamy, T., Rajat Shakya, Sudeepthi Nalla und Sai Shruti Prakhya. „Crack Detection in Concrete Using Artificial Neural Networks“. In Lecture Notes in Civil Engineering, 877–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12011-4_74.
Der volle Inhalt der QuelleSeguini, Meriem, Tawfiq Khatir, Samir Khatir, Djilali Boutchicha, Nedjar Djamel und Magd Abdel Wahab. „Crack Identification in Pipe Using Improved Artificial Neural Network“. In Lecture Notes in Mechanical Engineering, 15–25. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4835-0_2.
Der volle Inhalt der QuelleLi, Yaoyao, Pengyu Liu, Shanji Chen, Kebin Jia und Tianyu Liu. „The Identification of Slope Crack Based on Convolutional Neural Network“. In Advances in Artificial Intelligence and Security, 16–26. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78618-2_2.
Der volle Inhalt der QuelleDunis, Christian L., Peter W. Middleton, Konstantinos Theofilatos und Andreas Karathanasopoulos. „Modelling, Forecasting and Trading the Crack: A Sliding Window Approach to Training Neural Networks“. In Artificial Intelligence in Financial Markets, 69–106. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-48880-0_3.
Der volle Inhalt der QuelleZhang, XiaoGang, Shao Cui, Sen Zhang, JingFang Su, CaiXing Wang und Derek Perakis. „Research on Crack Detection Technology of Buildings After Earthquake Based on Structured Light“. In Advances in Artificial Intelligence and Security, 26–39. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06761-7_3.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Artificial crack"
Bostancioglu, Onur, und Levent Karacan. „Crack Detection with Conditional Diffusion Model“. In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP), 1–4. IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10711097.
Der volle Inhalt der QuelleWang, Zikang, und Shanjun Zhang. „Development of a roadway crack detection system tailored for specific environments“. In Sixth International Conference on Image, Video Processing and Artificial Intelligence (IVPAI 2024), herausgegeben von Ruidan Su, 14. SPIE, 2024. http://dx.doi.org/10.1117/12.3046210.
Der volle Inhalt der QuelleDai, Lu, Di Wang, Fengquan Song und Han Yang. „Concrete Bridge Crack Detection Method Based on an Improved RT-DETR Model“. In 2024 3rd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC), 172–75. IEEE, 2024. http://dx.doi.org/10.1109/raiic61787.2024.10670904.
Der volle Inhalt der QuelleHata, Seiji, Akira Mizobuchi und Tadashi Inai. „Development of evaluation method for concrete crack“. In Quality Control by Artificial Vision, herausgegeben von Kenneth W. Tobin, Jr. und Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.514941.
Der volle Inhalt der QuelleSelek, M., O. S. Sahin und S. Kahramanli. „Thermographical Investigation of Crack Initiation Using Artificial Neural Networks“. In EUROCON 2007 - The International Conference on "Computer as a Tool". IEEE, 2007. http://dx.doi.org/10.1109/eurcon.2007.4400354.
Der volle Inhalt der QuelleLin, Heng-Xiang, Wei-Jie Chen, Yu-Tong Lin, Ye Song, Zi-Yi He, Lu-Peng Jian, Xin-Yi Chen, Lin Wei, Zne-Jung Lee und Zhong-Yuan Chen. „House Inspection System Using Artificial Intelligence for Crack Identification“. In 2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE). IEEE, 2023. http://dx.doi.org/10.1109/ecice59523.2023.10382996.
Der volle Inhalt der QuelleKim, Tae-il. „Development in nanoscale crack based sensors for advanced wearable electronics“. In Neural Interfaces and Artificial Senses. València: Fundació Scito, 2021. http://dx.doi.org/10.29363/nanoge.nias.2021.014.
Der volle Inhalt der QuelleVaheesan, Kanapathippillai, Chanjief Chandrakumar, Senthan Mathavan, Khurram Kamal, Mujib Rahman und Amin Al-Habaibeh. „Tiled fuzzy Hough transform for crack detection“. In The International Conference on Quality Control by Artificial Vision 2015, herausgegeben von Fabrice Meriaudeau und Olivier Aubreton. SPIE, 2015. http://dx.doi.org/10.1117/12.2182913.
Der volle Inhalt der QuelleAldea, Emanuel, und Sylvie Le Hégarat. „Robust crack detection strategies for aerial inspection“. In The International Conference on Quality Control by Artificial Vision 2015, herausgegeben von Fabrice Meriaudeau und Olivier Aubreton. SPIE, 2015. http://dx.doi.org/10.1117/12.2182920.
Der volle Inhalt der QuelleHuang, Lei, Vignesh Mohanraj und Hossein Asghari,. „Improved automatic road crack detection and classification“. In 2018 International Conference on Image, Video Processing and Artificial Intelligence, herausgegeben von Ruidan Su. SPIE, 2018. http://dx.doi.org/10.1117/12.2504606.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Artificial crack"
Nestleroth, Dr J. Bruce. PR-3-823-R01 Remote Field Eddy Current Detection of Stress-Corrosion Cracks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Februar 1990. http://dx.doi.org/10.55274/r0011870.
Der volle Inhalt der QuelleKanakamedala, Deven, Jungil Seo, Amit H. Varma, Robert J. Connor und Anna Tarasova. Shear and Bearing Capacity of Corroded Steel Beam Bridges and the Effects on Load Rating. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317634.
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