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Majid Reza Akhoundan,Kia Khademi,Sam Bahmanoo,Karzan Wakil,Edy Tonnizam Mohamad,Majid Khorami 국제구조공학회 2018 Smart Structures and Systems, An International Jou Vol.22 No.5
Computational Building Information Modeling (BIM) is an intelligent 3D model-based process that provides architecture, engineering, and construction professionals the insight to plan, design, construct, and manage buildings and infrastructure more efficiently. This paper aims at using BIM in Hospitals configurations protection. Infrastructure projects are classified as huge structural projects taking advantage of many resources such as finance, materials, human labor, facilities and time. Immense expenses in infrastructure programs should be allocated to estimating the expected results of these arrangements in domestic economy. Hence, the significance of feasibility studies is inevitable in project construction, in this way the necessity in promoting the strategies and using global contemporary technologies in the process of construction maintenance cannot be neglected. This paper aims at using the building information modeling in covering Imam Khomeini Hospital’s equipment. First, the relationship between hospital constructions maintenance and repairing, using the building information modeling, is demonstrated. Then, using library studies, the effective factors of constructions’ repairing and maintenance were collected. Finally, the possibilities of adding these factors in Revit software, as one of the most applicable software within BIM is investigated and have been identified in some items, where either this software can enter or the software for supporting the repairing and maintenance phase lacks them. The results clearly indicated that the required graphical factors in construction information modeling can be identified and applied successfully.
Akhoundan, Majid Reza,Khademi, Kia,Bahmanoo, Sam,Wakil, Karzan,Mohamad, Edy Tonnizam,Khorami, Majid Techno-Press 2018 Smart Structures and Systems, An International Jou Vol.22 No.5
Computational Building Information Modeling (BIM) is an intelligent 3D model-based process that provides architecture, engineering, and construction professionals the insight to plan, design, construct, and manage buildings and infrastructure more efficiently. This paper aims at using BIM in Hospitals configurations protection. Infrastructure projects are classified as huge structural projects taking advantage of many resources such as finance, materials, human labor, facilities and time. Immense expenses in infrastructure programs should be allocated to estimating the expected results of these arrangements in domestic economy. Hence, the significance of feasibility studies is inevitable in project construction, in this way the necessity in promoting the strategies and using global contemporary technologies in the process of construction maintenance cannot be neglected. This paper aims at using the building information modeling in covering Imam Khomeini Hospital's equipment. First, the relationship between hospital constructions maintenance and repairing, using the building information modeling, is demonstrated. Then, using library studies, the effective factors of constructions' repairing and maintenance were collected. Finally, the possibilities of adding these factors in Revit software, as one of the most applicable software within BIM is investigated and have been identified in some items, where either this software can enter or the software for supporting the repairing and maintenance phase lacks them. The results clearly indicated that the required graphical factors in construction information modeling can be identified and applied successfully.
Majid Khayat,Davood Poorveis,Shapour Moradi 국제구조공학회 2017 Steel and Composite Structures, An International J Vol.23 No.1
This paper is presented to solve the buckling problem of functionally graded truncated conical shells subjected to displacement-dependent pressure which remains normal to the shell middle surface throughout the deformation process by the semi-analytical finite strip method. Material properties are assumed to be temperature dependent, and varied continuously in the thickness direction according to a simple power law distribution in terms of the volume fraction of a ceramic and metal. The governing equations are derived based on first-order shear deformation theory which accounts for through thickness shear flexibility with Sanders-type of kinematic nonlinearity. The element linear and geometric stiffness matrices are obtained using virtual work expression for functionally graded materials. The load stiffness also called pressure stiffness matrix which accounts for variation of load direction is derived for each strip and after assembling, global load stiffness matrix of the shell which may be un-symmetric is formed. The un-symmetric parts which are due to load non-uniformity and unconstrained boundaries have been separated. A detailed parametric study is carried out to quantify the effects of power-law index of functional graded material and shell geometry variations on the difference between follower and non-follower lateral buckling pressures. The results indicate that considering pressure stiffness which arises from follower action of pressure causes considerable reduction in estimating buckling pressure.
Buckling of thick deep laminated composite shell of revolution under follower forces
Majid Khayat,Davood Poorveis,Shapour Moradi,Mona Hemmati 국제구조공학회 2016 Structural Engineering and Mechanics, An Int'l Jou Vol.58 No.1
Laminated composite shells are commonly used in various engineering applications including aerospace and marine structures. In this paper, using semi-analytical finite strip method, the buckling behavior of laminated composite deep as well as thick shells of revolution under follower forces which remain normal to the shell is investigated. The stiffness caused by pressure is calculated for the follower forces subjected to external fibers in thick shells. The shell is divided into several closed strips with alignment of their nodal lines in the circumferential direction. The governing equations are derived based on first-order shear deformation theory which accounts for through thickness-shear flexibility. Displacements and rotations in the middle surface of shell are approximated by combining polynomial functions in the meridional direction as well as truncated Fourier series with an appropriate number of harmonic terms in the circumferential direction. The load stiffness matrix which accounts for variation of loads direction will be derived for each strip of the shell. Assembling of these matrices results in global load stiffness matrix which may be un-symmetric. Upon forming linear elastic stiffness matrix called constitutive stiffness matrix, geometric stiffness matrix and load stiffness matrix, the required elements for the second step analysis which is an eigenvalue problem are provided. In this study, different parameter effects are investigated including shell geometry, material properties, and different boundary conditions. Afterwards, the outcomes are compared with other researches. By considering the results of this article, it can be concluded that the deformation-dependent pressure assumption can entail to decrease the calculated buckling load in shells. This characteristic is studied for different examples.
Gnidilatimonoein from Daphne mucronata Induces Differentiation and Apoptosis in Leukemia Cell Lines
Majid Mahdavi,Razieh Yazdanparast 대한약학회 2007 Archives of Pharmacal Research Vol.30 No.2
Gnidilatimonoein is a new diterpene ester, recently isolated from the leaves of Daphne macronata with potent anti-tumoral and anti-metastastic activities (Yazdanparast et al., 2004). Promyeloblastic (KG1), promyelocytic (NB4) and promonocytic (U937) cells were cultured in the presence of various concentrations of the drug (0.5-3.0 µM) for 3 days. Herein, we report that gnidilatimonoein induces differentiation and apoptosis in KG1, NB4 and U937 cells. The drug inhibited growth and proliferation of KG1, NB4 and U937 cells with IC50 values of 1.5, 1.5 and 1.0 µM, respectively, after 72 h of treatment. Cell viability was also decreased by 18%, 20% and 23%, respectively, after 72 h treatment with the drug. NBT reducing assay revealed that the inhibition of proliferation is associated with differentiation especially toward monocytes-like morphology. Indeed, the drug at 0.5-1.5 µM induced differentiation by 5-50% in the cells. Acridine orange/ethidium bromide (AO/EtBr) double staining and DNA fragmentation assays revealed that apoptosis occurred after differentiation of the cells. Based on the present data, it seems that the new compound is a good candidate for further evaluation as an effective chemotherapeutic agent acting through induction of differentiation and apoptosis.
LSTM based Supply Imbalance Detection and Identification in Loaded Three Phase Induction Motors
Majid, Hussain,Fayaz Ahmed, Memon,Umair, Saeed,Babar, Rustum,Kelash, Kanwar,Abdul Rafay, Khatri International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.1
Mostly in motor fault detection the instantaneous values 3 axis vibration and 3phase current in time domain are acquired and converted to frequency domain. Vibrations are more useful in diagnosing the mechanical faults and motor current has remained more useful in electrical fault diagnosis. With having some experience and knowledge on the behavior of acquired data the electrical and mechanical faults are diagnosed through signal processing techniques or combine machine learning and signal processing techniques. In this paper, a single-layer LSTM based condition monitoring system is proposed in which the instantaneous values of three phased motor current are firstly acquired in simulated motor in in health and supply imbalance conditions in each of three stator currents. The acquired three phase current in time domain is then used to train a LSTM network, which can identify the type of fault in electrical supply of motor and phase in which the fault has occurred. Experimental results shows that the proposed single layer LSTM algorithm can identify the electrical supply faults and phase of fault with an average accuracy of 88% based on the three phase stator current as raw data without any processing or feature extraction.
Majid Jamshidian,Mostafa Mansouri Zadeh,Mohsen Hadian,Sahand Nekoeian,Morteza Mansouri Zadeh 한국자원공학회 2017 Geosystem engineering Vol.20 No.2
The minimum horizontal stress (Shmin) is one of the three principal stresses and is required for evaluation of the hydraulic fracturing, sand production, and well stability. Shmin is obtained using direct methods such as the leak-off and mini-frac tests or using some equations like the poroelastic equation. These equations require some information including the elastic parameters, shear sonic logs, core data and the pore pressure. In this study, a geomechanical model is constructed to obtain the minimum horizontal stress; then, an artificial neural network (ANN) with multilayer perceptron and feedforward backpropagation algorithm based on the conventional well logging data is applied to predict the Shmin. Cuckoo optimization algorithm (COA), imperialist competitive algorithm, particle swarm optimization and genetic algorithm are also utilized to optimize the ANN. The proposed methodology is applied in two wells in the reservoir rock located at the southwest of Iran, one for training, and the other one for testing purposes. It is found that the performance of the COA–ANN is better than the other methods. Finally, Shmin values can be estimated by the conventional well logging data without having the required parameters of the poroelastic equation.
Majid Salehi,Arian Ehtrami,Farshid Bastami,Saeed Farzamfar,Sepanta Hosseinpour,Hamid Vahedi,Ahmad Vaez,Mostafa Rahvar,Arash Goodarzi 한국섬유공학회 2019 Fibers and polymers Vol.20 No.3
Peripheral nerve injury is a serious challenge which influences 2.8 percent of trauma patients. Tissue engineeringof peripheral nerves mainly focuses on axonal regeneration via various nerve guides. The aim of this study is to evaluate a novel polyurethane (PU)/gelatin nanofibers (GNFs) conduit’s potential combination with resveratrol (RVT) for sciatic nerve regeneration in the rat. Platelet-rich plasma (PRP) was used as a carrier for RVT. Different tests like contact angle, tensile strength etc. was used to evaluate properties of PU/GNFs conduits. In addition, the electron microscopy, MTT assay, and DAPI staining revealed its compatibility with Schwann cells. 24 male Wistar rats were allocated into four groups (n=6) (1) PU/GNF/PRP/Schwann cell, 2) PU/GNF/Schwann cell/PRP/RVT, 3) Positive control, and 4) Negative control in order to assess sciatic functional index (SFI), hot plate latency, electromyographical (EMG), the percentage of wet weight-loss of gastrocnemius muscle and histopathological studies using hematoxylin-eosin staining. The results represented sciatic functional index (SFI), hot plate latency, electromyographical improved significantly in group 1 and 2 compared to the negative control group. Histopathological findings showed remarkable improvements in myelin sheath regeneration and fibers condition in group 1 and 2 compared to the negative control group. Group 2 showed more resemblance to the normal sciatic nerve, with well-arranged fibers and an intact myelin sheath. This study successfully applied PU/GNFs/PRP/RVT conduits as a potential biocompatible nerve guide with proper mechanical properties, biocompatibility, and biodegradability that enhanced injured sciatic nerve’s recovery rate.
Majid Mohammadi,Mehdi Sedighi,Rajamohan Natarajan,Sedky Hassan Aly Hassan,Mostafa Ghasemi 한국화학공학회 2021 Korean Journal of Chemical Engineering Vol.38 No.1
Oilfield produced water is one of the vast amounts of wastewater that pollute the environment and cause serious problems. In this study, the produced water was treated in a microbial fuel cell (MFC), and response surface methodology and central composite design (RSM/CCD) were used as powerful tools to optimize the process. The results of two separate parameters of sulfonated poly ether ether ketone (SPEEK) as well as nanocomposite composition (CNT/Pt) on the chemical oxygen demand (COD) removal and power generation were discussed. The nanocomposite was analyzed using XRD, SEM, and TEM. Moreover, the degree of sulfonation (DS) was measured by NMR. A quadratic model was utilized to forecast the removal of COD and power generation under distinct circumstances. To obtain the maximum COD removal along with maximum power generation, favorable conditions were achieved by statistical and mathematical techniques. The findings proved that MFC could remove 92% of COD and generate 545mW/m2 of power density at optimum conditions of DS=80; and CNT/Pt of 14 wt% CNT- 86 wt% Pt.