Abstract
This article explores the role of artificial intelligence (AI) in predicting nanomaterial properties, particularly its significance within geotechnical engineering. By analyzing multiple AI-based studies, the review concentrates on the forecasting of nanomaterial-altered soil characteristics and behaviors. Encouraging findings from these studies underscore AI's ability to accurately predict the geotechnical properties of nanomaterials, though challenges remain, particularly in quantifying nanomaterial percentages and their implications across various applications. Future research should address these challenges to enhance the accuracy of AI-based prediction models in geotechnical engineering. Nonetheless, the growing adoption of AI for predicting nanomaterial properties demonstrates its potential to revolutionize geotechnical engineering. AI's capacity to uncover intricate patterns and relationships beyond human capabilities enables more precise soil behavior predictions, fostering innovative solutions to geotechnical challenges. Its ability to process vast datasets, adapt to various scenarios, and continuously learn from new information makes AI an indispensable tool for understanding nanomaterial properties and their impact on soil behavior. In summary, the integration of AI and geotechnical engineering represents a pivotal advancement in comprehending nanomaterial properties and their practical applications. As research advances and AI technologies evolve, transformative progress in geotechnical engineering is expected. By harnessing AI's capabilities, researchers can unlock groundbreaking insights, drive innovation, and shape a more resilient and sustainable future for the geotechnical engineering industry.
Key Words
artificial intelligence; geotechnical engineering; intelligent models; nanomaterials; prediction
Address
Ahmed Cemiloglu and Licai Zhu: School of Information Engineering, Yancheng Teachers University, Yancheng 224002, Jiangsu, China
Sibel Arslan: Faculty of Technology, Sivas Cumhuriyet University, Sivas 58140, Turkey
Yaser A. Nanehkaran: School of Information Engineering, Yancheng Teachers University, Yancheng 224002, Jiangsu, China/ Department of Management Information Systems, Cankaya University, Ankara 06790, Turkey
Mohammad Azarafza: Geotechnical Unit, Faculty of Civil Engineering, University of Tabriz, Tabriz 5166616471, Iran
Reza Derakhshani: Department of Earth Sciences, Utrecht University, Netherlands/ Department of Geology, Shahid Shahid Bahonar University of Kerman, Kerman 76169-14111, Iran
Abstract
The use of nanotechnology in modern transportation systems currently used in the tourism industry for improving safety, comfort, and efficiency is discussed. To this end, considering the integration of a nanostructure as reinforce for the viewing platform in a tourist area, the dynamic behavior of such advanced nanostructures is investigated within the scope of a model for viewing platform and nanostructures for improving the safety. The mathematical model was established by adopting the higher-order shear deformation theory; with numerical methods, vibrational performance and passenger safety of transports used for tourists are estimated, while main parameters that may influence vibration isolation and energy absorption are comprehensively discussed. In these results, it is seen that nanostructured materials significantly enhance durability, energy efficiency, and vibration mitigation, especially under high-speed travel modes popular in tourism. It is expected that this research will provide new avenues for the application of advanced nanomaterials in modern travel systems, contributing ultimately to improving the safety, comfort, and energy efficiency of transport systems with a view to enhancing the overall tourist travel experience.
Key Words
dynamic response; higher order AI; nanostructures; sustainable tourism; travel experience
Address
Bian Ji: 1School of Tourism, Shandong Women's University, Ji'nan, 250300, Shandong, P. R. China
X. Wang, K. Kong and Zh. Yuan: Department of Civil Engineering, Dubai College of science, UAE
Abstract
Elasto-static analysis of a higher-order mathematically modeled sandwich panel is studied in this paper. The governing equations are derived using virtual work principle. The sandwich panel is assumed composed of graphene nanoplatelets reinforced shell. One can use the rule of mixture and Halpin-Tsai micromechanical model for extension of constitutive relations and presentation of dependent material properties. The solution is obtained using the solution of eigenvalue characteristic equation. The deformation analysis is presented for the clamped boundary conditions. The results are presented to investigate influence of material parameters such as folding, volume fraction and some other parameters on the deformation responses of the reinforced cylindrical panel.
Key Words
deformation analysis; energy method; graphene origami; higher order kinematic modeling; nanoplatelets
Address
Mohanad Hatem Shadhar: Department of Civil Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq
Zaid A. Mohammed: Al-Bayan University, Technical college of Engineering, Department of Medical Instrument Technical Engineering, Iraq
Mazin Hussien Abdullah: College of Medical Informatics, University of information and communication technology, Baghdad, Iraq
Arak Vora: Marwadi University Research Center, Department of Civil Engineering, Faculty of Engineering & Technology, Marwadi University, Rajkot-360003, Gujarat, India
Malatesh Akkur: Department of Physics & Electronics, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India
Ankit Kedia: NIMS School of Mechanical and Aerospace Engineering, NIMS University Rajasthan, Jaipur, India
Shivender Singh: Department of Mechanical Engineering, Chandigarh College of Engineering, Chandigarh Group of Colleges-Jhanjeri, Mohali-140307, Punjab, India
Majed Alsubih and Saiful Islam: Civil Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
Abstract
This work investigates the application of coupled annular nanoplates in musical instruments, with enhanced sound absorption and precise harmonic synchronization, using an educational framework. In this approach, the surface couple stress theory has been used in order to investigate controllable in-phase and out-of-phase vibrations by using a viscoelastic substrate between the nanoplates, possibly providing a new degree of freedom for affecting the sound quality and acoustic resonance in instrument design. With the consideration of size-dependent effects, including surface stress, the dynamic behavior of nanostructured materials used for musical purposes is investigated. Utilizing the higher-order shear deformation theory, a comprehensive mathematical model is presented, while its vibrational frequencies are estimated applying the numerical method. The results found show the effect of some of the key parameters on vibration control and sound energy absorption in musical instruments. These results should be leveraged to enhance acoustic performance in musical instruments through the application of nanostructured materials. This educational methodology offers a totally new avenue to understand the role of nanotechnology in refining quality in sound and therefore invites innovation in music education through the integration of advanced material science.
Key Words
annular/circular nanoplates; buckling; GDQM; Kerr medium; size effects
Address
Jia Kuang: College of Music, Hengyang Normal University, Hengyang 421001, Hunan, China
Zh. Liu: Department of Engineering, New ideas industrial company in engineering, Malaysia
Möhmat Shocrah: Department of Civil Engineering, ANADO University, Turkey
Abstract
Because of their remarkable mechanical qualities, nano-composites—components that are 100 nanometers or smaller—have started to be used in modern engineering. Among these are graphene nanoplatelets (GNPs), which offer a number of advantages over other nanomaterials, including low gas permeability, thermal conductivity, and electrical conductivity. The present study presents natural frequency analysis of functionally graded graphene nanoplatelet reinforced (FG-GNPR) nanoplates. For this context, a refined four-variable plate theory (RPT) is utilized considering several boundary conditions. Eringen's nonlocal elasticity theory is employed to take account of the size-dependent effect of nanoplates. The distributions of GNPs in the polymer matrix are considered to be uniform and non-uniform patterns. Hamilton's principle is employed to solve the governing equations of FG-GNPR nanoplate. The obtained results are then validated with benchmark reulsts of available in the literature. Comprehensive parametrical investigations are carried out, and the effects of nonlocal parameter, weight fraction, and the boundary conditions on the free vibration response of FG-GNPR polymer composite nanoplates are examined in detail. For design engineers, the study offers insightful information on how various factors and boundary conditions affect the natural frequency of plates.
Address
Adel Lakel: Laboratory of Geomatics and Sustainable Development, University of Tiaret, Algeria
Lazreg Hadji: Laboratory of Geomatics and Sustainable Development, University of Tiaret, Algeria/ Suleyman Demirel University, Isparta, 32260, Turkiye
Mehmet Avcar: Suleyman Demirel University, Department of Civil Engineering, Isparta, 32260, Turkiye
Hassen Ait Atmane: Laboratory of Structures, Geotechnics and Risks, Department of Civil Engineering, Hassiba Benbouali University of Chlef, Chlef, Algeria
Royal Madan: Department of Mechanical Engineering, Graphic Era (Deemed to be University) Dehradun- 248002, India
Abstract
This paper introduces analytical solutions to study the nonlinear buckling and postbuckling behavior of shear-deformable, arc-type auxetic-core sandwich composite toroidal shell segments (TSSs) with carbon nanotube (CNT)-reinforced face sheets surrounded by Kerr-type foundation and subjected to external pressure. CNTs are incorporated into a polymer matrix with a uniform (UD) or functionally graded (FG) distribution across the shell thickness. Inspired by the traditional concave hexagonal design, the arc-type auxetic core includes curved ribs and allows for a smooth transition between adjacent unit cells, effectively mitigating stress concentrations. The Kerr-type three-parameter elastic foundation is modeled with a central shear layer and two spring layers on both the top and bottom sides. The governing equations for the TSSs are derived using Reddy's third-order shear deformation theory (TSDT), incorporating von Kármán-type geometric nonlinearity. A three-term deflection solution under simply supported boundary conditions is employed, with the Galerkin method used to establish the nonlinear load-deflection relationship. The effectiveness of the current approach is confirmed through comparative analysis with existing literature, demonstrating good agreement with theoretical results. The numerical results examine the effects of geometric parameters of the arc-type auxetic metamaterial structure—specifically the inclined angle of the auxetic core and circular arc radius—along with Kerr-type elastic foundation parameters, CNT distribution, and geometric characteristics on the critical buckling loads and postbuckling paths of sandwich TSSs.
Key Words
arc-type auxetic metamaterial core; buckling and postbuckling; carbon nanotube-reinforced composite; Kerr-type elastic foundation; toroidal shell segment; TSDT
Address
Farzad Ebrahimi: Department of Mechanical Engineering, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran
Mohammadhossein Goudarzfallahi and Ali Alinia Ziazi: Mechanical Engineering Department, Science and Research branch, Islamic Azad University, Tehran, Iran
Abstract
This study investigates the buckling behavior of axially functionally graded (AFG) non-uniform cylindrical beams with specific applications in sports equipment, using a combination of artificial intelligence (AI) and advanced numerical methods. Unlike traditional approaches, this work employs non-classical size-dependent theory and high-order tube theory to more accurately capture the mechanical responses of non-uniform geometries, which are crucial for optimizing the performance and safety of sports equipment such as poles, racquets, and composite materials used in various athletic applications. The beam under consideration has a non-uniform external surface while maintaining a uniform internal radius, with material properties varying continuously along the beam's length. The governing equations are derived using the nonlocal strain gradient theory in conjunction with Von-Karman's nonlinear theory and high-order cylindrical beam theory. These partial differential equations are solved using the Generalized Differential Quadrature Method (GDQM), a powerful numerical technique known for its high accuracy and computational efficiency. Furthermore, to enhance the predictive capability of the model, the results are tested and trained using a neural network (NN), which provides reliable predictions of buckling behavior under various boundary conditions and material distributions. By integrating artificial intelligence with advanced analytical methods, this research offers a practical framework for accurately predicting buckling in non-uniform cylindrical beams, proving beneficial for both theoretical studies and real-world applications in sports engineering. This approach demonstrates the potential for more efficient design and optimization of sports equipment, enhancing athletic performance and ensuring safety compared to traditional methods.
Address
Yan Li: School of Physical Education, Zhengzhou Vocational and Technical College, Zhengzhou 100043, Henan, China
Mostafa Habibi: Universidad UTE, Facultad de Arquitectura y Urbanismo, Calle Rumipamba S/N y Bourgeois, Quito, 170147, Ecuador/ Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India/ Department of Mechanical Engineering, Faculty of Engineering, Haliç University, 34060, Istanbul, Turkey/ Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam
Maryam Bagheri: Hoonam Sanat Farnak, Engineering and Technology Company, Ilam, Iran
Ali Basem, Mohanad Hatem Shadhar, Yasser M. Kadhim, Ranganathaswamy M.K., Raman Kumar, Barno Abdullaeva, Ibrahim Mahariq, Essam Althaqafi and Saiful Islam
Abstract
In this work, an analytical-based formulation for static bending analysis of a G-Ori reinforced shell in cylindrical form subjected to thermomechanical loads is presented. The governing equations are derived using a shear deformable-based kinematic model. The virtual work principle is used to derived governing equations in terms of in-plane displacement and rotations components. The solution procedure is extended in an analytical manner using the Navier's technique. To constitute the behavioral relations, the effective material properties of graphene origami nanofiller in a copper matrix are derived using the statistical and experimental relations. The effective material properties are evaluated using the Halpin-Tsai micromechanical model and rule of mixture. The parametric results are obtained in terms of thermal loads, volume fraction and folding parameter. Some numerical results in tabular form is presented to investigated impact of content and folding characteristics of G-Ori on the static bending results. The results show a decrease in transverse deflection with an addition in graphene origami content. It is deduced that the transverse deflection is decreased about 20% with a 2% enhancement in the graphene origami content.
Key Words
cylindrical panel; folding characteristics; graphene origami; shear deformable model; virtual work principle
Address
Ali Basem: Faculty of Engineering, Warith Al-Anbiyaa University, Karbala 56001, Iraq
Mohanad Hatem Shadhar: Department of Civil Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq
Yasser M. Kadhim: Civil Engineering Department, College of Engineering, Al-Nahrain University, Iraq
Ranganathaswamy M.K.: Department of Mechanical Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, India
Raman Kumar: School of Mechanical Engineering, Rayat Bahra University, Kharar, Punjab 140103, India/ Faculty of Engineering, Sohar University, PO Box 44, Sohar, PCI 311, Oman
Barno Abdullaeva: Department of Mathematics and Information Technologies, Vice-Rector for Scientific Affairs, Tashkent State Pedagogical University, Tashkent, Uzbekistan
Ibrahim Mahariq: GUST Engineering and Applied Innovation Research Center (GEAR), Gulf University for Science and Technology, Mishref, Kuwait/ Applied Science Research Center, Applied Science Private University, Amman, Jordan/ Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Essam Althaqafi and Saiful Islam: Civil Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
