Abstract
In the present study, the finite volume method is applied for the thermal performance prediction of the natural
ventilation system using vertical solar chimney whereas, design parameters are optimized through the response surface
methodology (RSM). The computational simulations are performed for various parameters of the solar chimney such as absorber temperature (40 Key Words
heat transfer; natural convection; numerical simulation; optimization; RSM; solar chimney
Address
Mohamed Walid Azizi: Department of Mechanical Engineering and Electomechanical, Institute of Sciences and Technology, University Center of Mila, Mila 43000, Algeria; Advanced Technologies in Mechanical Production Research Laboratory (LRTAPM), Badji Mokhtar-Annaba University, P.O Box 12, 23000 Annaba, Algeria
Moumtez Bensouici: Department of Mechanical Engineering and Electomechanical, Institute of Sciences and Technology, University Center of Mila, Mila 43000, Algeria; Laboratory of Applied Energetics and Pollution (LAEP), University of Constantine 1, Road of Ain El. Bey, Constantine 25000, Algeria
Fatima Zohra Bensouici: Faculty of Pharmaceutical Process Engineering, University of Constantine 3, UVN05, Ali Mendjeli N V, Khroub, Constantine, Algeria
Abstract
Deep extreme learning machine (DELM) and multi-verse optimization algorithms (MVO) are hybridized for
designing an optimal and adaptive control framework for uncertain buildings. In this approach, first, a robust model predictive
control (RMPC) scheme is developed to handle the problem uncertainty. The optimality and adaptivity of the proposed
controller are provided by the optimal determination of the tunning weights of the linear programming (LP) cost function for
clustered external loads using the MVO. The final control policy is achieved by collecting the clustered data and training them
by DELM. The efficiency of the introduced control scheme is demonstrated by the numerical simulation of a ten-story
benchmark building subjected to earthquake excitations. The results represent the capability of the proposed framework
compared to robust MPC (RMPC), conventional MPC (CMPC), and conventional DELM algorithms in structural motion
control.
Key Words
artificial intelligence; deep machine learning; intelligent control; optimization; soft computing
Address
Afshin Bahrami Rad, Javad Katebi and Saman Yaghmaei-Sabegh: Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran
Abstract
In this work, the free vibration analysis of functionally graded material (FGM) sandwich plates with porosity is
conducted using the p-version of the finite element method (FEM), which is based on the first-order shear deformation theory (FSDT). The sandwich plate consists of two face-sheet layers of FGM and a homogeneous core layer. The obtained results are validated using convergence and comparison studies with previously published results. Five porosities distribution models of FGM sandwich plates are assumed and analyzed. The effect of the thickness ratio, boundary conditions, volume fraction exponents, and porosity coefficients of the top and bottom layers of FGM sandwich plates on the natural frequency are addressed.
Key Words
FGM sandwich plate; free vibration analysis; p-finite element method; porosities distribution
Address
Hakim Bentrar, Sidi Mohammed Chorfi, Sid Ahmed Belalia: Laboratory of Computational Mechanics, Department of Mechanical Engineering, Faculty of Technology, University of Tlemcen, Algeria
Abdelouahed Tounsi: Center for Engineering Application & Technology Solutions, Ho Chi Minh City Open University, Ho Chi Minh, VietNam; Department of Civil and Environmental Engineering, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Eastem Province, Saudi Arabia; Department of Civil and Environmental Engineering, Lebanese American University, 309 Bassil Building, Byblos, Lebanon
Mofareh Hassan Ghazwani, Ali Alnujaie: 5Department of Mechanical Engineering, Faculty of Engineering, Jazan University, P.O Box 45124, Jazan, Kingdom of Saudia Arabia
Abstract
This paper introduces a system to detect and diagnose anomalies in pumped storage hydropower plants. We collect data from various types of sensors, including those monitoring temperature, vibration, and power. The data are classified according to the operation modes (pump and turbine operation modes) and normalized to remove the influence of the external environment. To detect anomalies and diagnose their types, we adopt a multivariate normal distribution analysis by learning the distribution of the normal data. The feasibility of the proposed system is evaluated using actual monitoring data of a pumped
storage hydropower plant. The proposed system can be used to implement condition monitoring systems for other plants through modifications.
Key Words
anomaly detection; anomaly diagnosis; multivariate analysis; prognostics and health management; pumped storage hydropower plants; pump-turbine
Address
Sojin Shin, Cheolgyu Hyun, Phill-Seung Lee: Department of Mechanical Engineering, Korean Advanced Institute for Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea
Seongpil Cho: School of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang 10540, Republic of Korea
Abstract
Total hip replacement is a crucial intervention for patients with fractured hips who face challenges in natural
recovery. The design of durable prostheses requires a comprehensive understanding of the natural processes occurring in bone. This article focuses on static loading analysis, specifically during stumbling activity, aiming to enhance the longevity of prosthetic implants. Three distinct implants, Charnley, Osteal, and Thompson, were selected for a detailed study to determine the most appropriate model. The results revealed critical insights into the distribution of Von Mises stresses on the components of femoral arthroplasty, including the cement, implant, and cortical bone. Furthermore, the examination of shear stress within the cement emerged as a pivotal aspect for all three implants, playing a crucial role in evaluating the performance and durability of hip prostheses. The conclusions drawn from this study strongly suggest that the Thompson model stands out as the most suitable choice for hip joint implants.
Key Words
cement; finite element method; stress; total hip prosthesis
Address
Mohammed El Sallah Zagane, Moulgada Abdelmadjid: Department of Mechanical Engineering, University of Ibn Khaldoun Tiaret, 14000, Algeria; Department of Mechanical Engineering, LMPM Laboratory, University of Djillali Liabes Sidi Bel Abbes, 22000, Algeria
Murat Yaylaci: Biomedical Engineering MSc Program, Recep Tayyip Erdogan University, 53100, Rize, Turkey; Department of Civil Engineering, Recep Tayyip Erdogan University, 53100, Rize, Turkey
Sahli Abderahmen: Department of Mechanical Engineering, LMPM Laboratory, University of Djillali Liabes Sidi Bel Abbes, 22000, Algeria
Ecren Uzun Yaylaci: Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, 53100, Rize, Turkey
Abstract
This article addresses the quasi-static analysis of time-dependent honeycomb sandwich plates with various geometrical properties based on the bending analysis of elastic honeycomb sandwich plates employing a time function with three unknown coefficients. The novel point of the developed method is that the responses of viscoelastic honeycomb sandwich plates under static transversal loads are clearly formulated in the space and time domains with very low computational costs. The mechanical properties of the sandwich plates are supposed to be elastic for the faces and viscoelastic honeycomb cells for the core. The Boltzmann superposition integral with the constant bulk modulus is used for modeling the viscoelastic material. The shear effect is expressed using the first-order shear deformation theory. The displacement field is predicted by the product of a determinate geometrical function and an indeterminate time function. The simple HP cloud mesh-free method is utilized for discretizing the equations in the space domain. Two coefficients of the time function are extracted by answering the equilibrium equation at two asymptotic times. And the last coefficient is easily determined by solving the first-order linear equation. Numerical results are presented to consider the effects of geometrical properties on the displacement history of viscoelastic honeycomb sandwich plates.
Key Words
honeycomb sandwich plates; Prony series; quasi-static analysis; time function; time-dependent honeycomb core; viscoelasticity
Address
Nasrin Jafari and Mojtaba Azhari: Department of Civil Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran
Abstract
The present study is focused on instigation of the nonlinear mechanical behavior of reinforced concrete beams considering different types of FRP bars through nonlinear finite element simulations. To explore the impact of the FRP reinforcement type and geometry on the nonlinear mechanical behavior of reinforced beam, intensive parametric studies are carried out and discussed. Twenty models were carried out based on the finite element software (ABAQUS). The concrete damage plasticity model was considered. Four types of fiber polymer bars, CFRP, GFRP, AFRP and BFRP as longitudinal reinforcement for concrete beam were used. The validation of numerical results was confirmed by experimental as well as
numerical results, then the parametric study was conducted to evaluate the effect of change in different parameters, such as bar diameter size, type of FRP bars and shear span length. All results were analyzed and discussed through, load-deflection diagram. The results showed that the use of FRP bars in rebar concrete beam improves the beam stiffness and enhance the ultimate load capacity. The load capacity enhanced in the range of (20.44-244.47%) when using different types of FRP bars. The load-carrying capacity of beams reinforced with CFRP is the highest one, beams reinforced with AFRP is higher than that reinforced with
BFRP but beams reinforced with GFRP recorded the lowest load of capacity compered with other beams reinforced with FRP
Bars.
Key Words
different types of FRP bars; Fiber Reinforced Polymer (FRP); nonlinear finite elements; reinforced concrete
beam; shear span length
Address
Azza M. Al-Ashmawy, Osman Shallan, Tharwat A. Sakr and Hanaa E. Abd-EL-Mottaleb: Structural Engineering Department, Faculty of Engineering, Zagazig University, P.O. Box 44519, Zagazig, Egypt
Abstract
The objective of this study is to investigate the distribution of von Mises stress, peeling stress, and shear stress in the adhesive layer used to bond two composite panels, considering various parameters using a three-dimensional finite element method. The stiffness of the materials and the effect of the stacking order on the amount of load transferred to the adhesive layer were examined to determine which type of laminate generates less stress at the bond line. The study analyzed six different stacking sequences, all with a common first layer in contact with the adhesive and a 0o orientation. Additionally, the impact of
using hybrid composites on reducing bond line stress was investigated.
Key Words
adhesive layer; fibers; peel stress; shear stress; stacking sequences; strain; stresses; Von Mises
Address
Ait Kaci Djafar: Laboratory LMPM, University of Sidi Bel Abbes, BP 89, City Ben M'hidi, Sidi Bel Abbes 22000, Algeria
Zagane Mohammed El Sallah, Moulgada Abdelmadjid: Department of Mechanical Engineering, University of Tiaret, City Zaâroura BP 78, Tiaret 14.000, Algeria
Sahli Abderahmane: Laboratory LMPM, University of Sidi Bel Abbes, BP 89, City Ben M'hidi, Sidi Bel Abbes 22000, Algeria
