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CONTENTS
Volume 6, Number 3, July 2021
 


Abstract
In this paper, an analytical interfacial stress analysis is presented for simply supported concrete cantilever beam bonded with a composite plate. The adherend shear deformations have been included in the present analyses by assuming a linear shear stress through the thickness of the adherends, one of the strong points of this model; this shear parameter has not been taken up by other researchers. Remarkable effect of shear deformations of adherends has been noted in the results. Indeed, the resulting interfacial stresses concentrations are considerably smaller than those obtained by other models which neglect adherent shear deformations. It is shown that both the normal and shear stresses at the interface are influenced by the material and geometry parameters of the composite beam. The theoretical predictions are compared with other existing solutions. This type of research is very useful for structural calculating engineers who are always looking to optimize strengthening design parameters and implement reliable debonding prevention measures.

Key Words
composite plate; interfacial stresses; RC cantilever beam; strengthening

Address
Rabahi Abderezak:Civil Engineering Department, University of Tiaret, Algeria/ Laboratory of Geomatics and Sustainable Development, University of Tiaret, Algeria

Hassaine Daouadji Tahar:Civil Engineering Department, University of Tiaret, Algeria

Benferhat Rabia:Civil Engineering Department, University of Tiaret, Algeria/ Laboratory of Geomatics and Sustainable Development, University of Tiaret, Algeria


Abdelouahed Tounsi:YFL (Yonsei Frontier Lab), Yonsei University, Seoul, Korea/ Department of Civil and Environmental Engineering, King Fahd University of Petroleum & Minerals, 31261 Dhahran, Saudi Arabia/ LMH Laboratory, Civil Engineering Department, University of Sidi Bel Abbes, Algeria

Abstract
With the progression of artificial intelligence in medical services, the world has achieved many benefits. The constant improvement of existing artificial intelligence techniques becomes a boon in the medical field for assisting healthcare providers. In current years, the diagnosis of cancers using machine learning techniques for timely decisions has gained popularity. Cancer is preventable and can be cured with early and timely diagnosis. Cervical cancer is one of the foremost cancers in other female cancers which ranked at the fourth position. The objective of this study to develop a model that provides a timely and cost-effective cervical cancer risk prediction score by using supervised machine learning techniques in amalgamation with dimensionality reduction techniques. The dimensionality reduction techniques help in providing the prediction with a minimum number of features. The experimental investigation on cervical cancer risk factor reveals that Random Forest classifier using recursive feature elimination with cross-validation technique gives 93%.

Key Words
artificial intelligence; machine learning; classification; support vector machine; k-nearest neighbor; random forest; decision tree; naive bayes; cancer; cervical cancer

Address
Mamta Arora:Department of CSE, U.I.E.T., Kurukshetra University, (Kurukshetra), INDIA/ Department of CST, Manav Rachna University, (Haryana), India

Sanjeev Dhawan:Department of CSE, U.I.E.T., Kurukshetra University, (Kurukshetra), India

Kulvinder Singh:Department of CSE, U.I.E.T., Kurukshetra University, (Kurukshetra), India


Abstract
The strut-and-tie model (STM) method has been recognized as an efficient methodology for the design of structural concrete disturbed stress regions (D-regions) and is used in design codes worldwide. However, the method requires iterative solution, numerous graphical calculations, and is time consuming. Further it involves designer's experience in the development of appropriate STM. In this study, a computer graphics program that enables the analysis and design of structural concrete efficiently is presented. This graphics program enables the designer to overcome the implementation drawbacks mentioned above. The program incorporates analysis and design capabilities, including finite element linear/nonlinear analysis programs for the plane truss and solid problems, a module for the automatic determination of effective strengths of struts and nodal zones, and one for the graphical verification of appropriateness of STM by displaying various geometrical shapes of struts and nodal zones.

Key Words
D-region; Strut-and-Tie Model; computer graphics; structural concrete

Address
Y.M. Yun:School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 41566, Republic of Korea

J.A. Ramirez:Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47906, U.S.A

Abstract
In this study, some models are developed to predict the fracture energy (GF), flexural strength (ft), splitting tensile strength (fspt), and compressive strength (fc) of fiber reinforced cementitious composites (FRCC) based on I-optimal design of response surface methodology (RSM-I-optimal). Indeed, the main aim of this paper is to predict the mentioned parameters of FRCC at different temperatures and the aspect ratios of fibers. For this purpose, the fracture energy and strength properties of FRCC reinforced with aramid, glass, basalt, and polypropylene (PP) fibers were obtained at 20°C, 100°C and 300°C temperatures and were used as experimental values by RSM. The analyses of variance (ANOVA), perturbation, three-dimensional, contour and normal of residual plots were studied to assess the impacts of independent parameters on the relationships. Furthermore, the predictive efficiency of the RSM models between observed and predicted values were examined based on the Nash & Sutcliffe coefficient of efficiency (NSE). In terms of NSE values, the models were exact enough for predicting the flexural, splitting tensile and compressive strengths as well as fracture energy.

Key Words
fiber-reinforced cementitious composites; response surface methodology; I-optimal design; strength properties; fracture energy

Address
Moosa Mazloom:Department of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran

Sajjad Mirzamohammadi:Department of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran

Abstract
Single tooth finite element model is widely used to investigate tooth behaviors with reducing modeling process and computational time. This study aims to examine the validity of a single tooth model in clenching and chewing actions. The single tooth model consisting of tooth #16, the periodontal ligament (PDL), and bone was subjected to coronal-apical movements. The predicted strains from the analyses were validated with the in-vitro experimental results on tooth-PDL-bone specimen. The stress distributions of tooth root and PDL were compared to those from the full skull model to evaluate reasonability of the single tooth model. The results of this study indicate that the single tooth model is able to predict valid structural and mechanical behaviors in clenching and chewing activities.

Key Words
single tooth; validity; clenching; chewing; finite element analysis

Address
Yeokyeong Lee:Department of Mechanical and Biomedical Engineering, Ewha Womans University,52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea/ Department of Architectural and Urban Systems Engineering, Ewha Womans University,52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea

Minji Kim:Department of Orthodontics, College of Medicine, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea

Ji-Man Park:Department of Prosthodontics, Yonsei University College of Dentistry,50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea

Hee Sun Kim:Department of Architectural and Urban Systems Engineering, Ewha Womans University,52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea


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