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2. J. Meinz, Adhering in Steel Structures. Considerations on Carrying-Capacity and Deformations and on Dimensioning of Adhesively Bonded Trapezoidal Sheets as Well as Strengthened Hollow Profiles in Beam-Column-Fac¸ades [in German], Weiβensee Verlag, 2010, Dissertation, BTU Cottbus.
3. G. Kubieniec, Resistance of Reinforced Steel Girders with Adhesive Bonding [in Polish], PhD
The aim of this study was to evaluate the quality of the ECG signal, obtained from a telemetric body-sensor device during a maximum stress test on an ergometer. Twenty-three subjects, 13 males, were included in the study (20.56±1.19 years). Two different sensor positions were verified on each subject by the concurrent use of two ECG sensors. Each subject participated in four exercise stress tests: two on a treadmill and two on a cycle ergometer. In the first test, both sensors were attached to self-adhesive skin electrodes on the body, while in the second test the sensors were additionally fixed with self-adhesive tapes. The measurements were compared on both ergometers, in terms of the ECG sensors’ positions and the methods used for the sensors’ fixation. The results showed a significant difference in the running speed that provides an assessable ECG signal between the non-fixed and the fixed sensors at position left inferior (p = 0.000), as well as between the positions left inferior and left superior in the first (p = 0.019), and in the second test (p = 0.000) on the treadmill. On the cycle ergometer the differences were significant between the positions left inferior and left superior in the first (p = 0.000), and the second test (p = 0.003), and between the tests with fixed and non-fixed sensors in the position left superior (p = 0.011). The study confirms that ECG sensors could be used for maximal exercise stress tests in laboratories, especially on a cycle ergometer, and that they present a great potential for future use of ECG sensors during physical activity.
1. V. A. Franklin, T. Christopher, “Fracture Energy Estimation of DCB Specimens Made of Glass/Epoxy: An Experimental Study”, Advances in Materials Science and Engineering, 2013.
2. K. Kumar, S. Rao, N. Gopikrishna, “Evaluation of strain energy release rate of epoxy glass fibre laminate (mode - I)”, International Education And Research Journal 3(1), 2017.
3. B. R. K. Blackman, A.J. Kinloch, M. Paraschi, “The determination of the mode II adhesive fracture resistance, G IIC , of structural adhesive joints: an effective crack length
The mining methods are classified as the methods of data analysis and the knowledge acquisition and they are derived from the methods of “Knowledge Discovery”. Within the scope of these methods, there are two main variants associated with a form of data, i.e.: “data” and “text mining”. The author of the paper tries to find an answer to a question about helpfulness and usefulness of these methods for the purpose of knowledge acquisition in the construction industry. The very process of knowledge acquisition is essential in terms of the systems and tools operating based on knowledge. Nowadays, they are the basis for the tools which support the decision-making processes. The paper presents three cases studies. The mining methods have been applied to practical problems - the selection of an adhesive mortar coupled with alternative solutions, analysis of residential real estate locations under construction by a developer company as well as support of technical management of a building facility with a large floor area.
, Amijima S, "Fatigue properties of single lap joints using rubber plasticized epoxy adhesive - Effect of adhesive thickness on fatigue life", Journal of the Japan Society for Composite Materials 18:151-157, 1992.
11. Alisa Boonyapookana, Anchalee Saengsai, Supachai Surapunt, "Time dependent fatigue crack growth behavior of silica particle reinforced epoxy resin composite", International Journal of Fatigue 87: 288-293, 2016.
12. Shokrieh M M, Esmkhani M, Haghighatkhah A R, "Flexural fatigue behavior of synthesized graphene
aggregate type and adhesion promoters; International Journal of Adhesion and Adhesives 54, 2014; 100 – 111.
7. S. Hassan FIROOZIFAR, Yashar A. ALAMDY, Orang FARZANEH; Investigation of novel methods to improve the storage stability and low temperature susceptivity of polyethylene modified bitumens; Petroleum & Coal 52 (2) ISSN 1337-7027, 2010; 123 – 128.
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9. Arno Wilhelm HEFER
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5. M. Piekarczyk, R. Grec, Application of adhesive bonding in steel and aluminium structures, Archives of Civil Engineering, 58, 309–329, 2012
6. M. Rucka, Wave Propagation in Structures. Modelling, Experimental Studies and Application to Damage Detection, Wydawnictwo Politechniki Gdańskiej, Gdańsk 2011
7. M. Rucka, Modelling of in-plane wave propagation in a plate using spectral element method and Kane-Mindlin theory with application to damage detection. Archive of Applied Mechanics 81, 1877–1888, 2011
8. M. Rucka, W
failure in FRP-strengthened RC beams: prediction and suppression”, The Hong Kong Polytechnic University, 2016.
7. M.E. Kamińska and R. Kotynia, „Experimental tests of RC beams reinforced with CFRP tapes” (in Polish), Zeszyt 9. Katedra Budownictwa Betonowego Wydziału Budownictwa, Architektury i Inżynierii Środowiska Politechniki Łódzkiej, Łódź, 2000.
8. J. Kubicki, „Experimental research of cracked RC beams with adhesively bonded CFRP tapes” (in Polish), Building Research Institute – Quarterly 4(124), pp. 43-59, 2002.
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Jin Guofeng, Zhang Wei, Yang Zhengwei, Huang Zhiyong, Song Yuanjia, Wang Dongdong and Tian Gan
for crisp and fuzzy cluster. Pattern Recognition , 37, 487-501.
 Liu, X.L. (2006). Research on Fuzzy-Clustering-Based Method of Image Segmentation . Master dissertation of Hefei University of Technology, Anhui Hefei, China.
 Li, L.L. (2009). Fuzzy C-Means Algorithm and Its Application in Image Segmentation . Master dissertation of Shandong Demonstration University, Shandong Jinan, China.
 Yang, Z.W., Zhang, W., Wu, C.Q. et al. (2010). Infrared thermography applied to evaluate adhesive quality of missile