Evaluation of Internal Resistance in Asphalt Concretes

Zandi, Yousef,Akpinar, Muhammet Vefa Korea Concrete Institute 2012 International Journal of Concrete Structures and M Vol.6 No.4

Composites are somewhat more difficult to model than an isotropic material such as iron or steel due to the fact that each layer may have different orthotropic material properties. In finite element literature the asphalt mixes are represented by using rectangular meshes, not the actual picture of their cross-sections. Asphalt aggregate size and distribution in the asphalt concrete sample, aggregate shape, and fractured surface effects are ignored. In this research, the actual image of the sample including all these effects were directly considered in the finite element. The samples, were cut into cross-sections and were scanned. The image-processing toolbox of Labview was utilized in obtaining the rectangular gray images of the scanned images. In the rectangular sample the aggregates were white and the asphalt binders were black. The grayscale images were converted by LABVIEW into the format required by ANSYS as an input file, with the same dimensions. The nodes at the bottom of the model were constrained in both x and y directions. Left and right edges were symmetry and top was free. Certain amount of pressure was applied along the top surface to simulate the tire pressure.

Evaluation of Internal Resistance in Asphalt Concretes

Yousef Zandi,Muhammet Vefa Akpinar 한국콘크리트학회 2012 International Journal of Concrete Structures and M Vol.6 No.4

Composites are somewhat more difficult to model than an isotropic material such as iron or steel due to the fact that each layer may have different orthotropic material properties. In finite element literature the asphalt mixes are represented by using rectangular meshes, not the actual picture of their cross-sections. Asphalt aggregate size and distribution in the asphalt concrete sample, aggregate shape, and fractured surface effects are ignored. In this research, the actual image of the sample including all these effects were directly considered in the finite element. The samples, were cut into cross-sections and were scanned. The image-processing toolbox of Labview was utilized in obtaining the rectangular gray images of the scanned images. In the rectangular sample the aggregates were white and the asphalt binders were black. The grayscale images were converted by LABVIEW into the format required by ANSYS as an input file, with the same dimensions. The nodes at the bottom of the model were constrained in both x and y directions. Left and right edges were symmetry and top was free. Certain amount of pressure was applied along the top surface to simulate the tire pressure.

Computational investigation of the comparative analysis of cylindrical barns subjected to earthquake

Yousef Zandi,Mahdi shariati,Aminaton Marto,Xing Wei,Zeki Karaca,Duy Kien Dao,Ali Toghroli,Mir Heydar Hashemi,Yadollah Sedghi,Karzan Wakil,Majid Khorami 국제구조공학회 2018 Steel and Composite Structures, An International J Vol.28 No.4

The structural behaviors of cylindrical barns as a specific engineering structure have been considered as a complicated computing process. The structure design against the earthquake load, to protect by using the code, is an urgency avoiding unexpected damages. The situation has been subjected to the applied design method if there would be no failure across the construction procedures. The purpose of the current study is to clarify the behaviors of cylindrical reinforced concrete barns through the analytic methods across the mass and Lagrangian approaches through the whole outcomes comparison indicating that the isoparametric element obtained from the Lagrangian approach has been successfully applied in the barns earthquake analysis when the slosh effects have been discarded. The form of stress distributions is equal with <i>s_z</i> closed distributions to one another.

The evaluation of IT investment based on fuzzy utility functions

Faramak Zandi  ,Fariborz Mosavi 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10

In this research, a new method is proposed for the evaluation and selection of IT projects investments with considering the effect of uncertainty and risk in the IT investment decisions, Real option theory is used in this proposed method. For this purpose, after determining IT project, the real option and risk scores are calculated in the fuzzy environment for them. Then, the best project is selected based on these attributes.

A New Approach for IT Projects Valuation

Faramak Zandi,Fariborz Mosavi,Azad Noroz 인하대학교 산업경제연구소 2010 경상논집 Vol.24 No.1

This paper developed a new framework for valuating IT projects based on real option, Monte Carlo simulation and risk analysis. At first, real option valuation is utilized for evaluating IT projects. In this method, Monte Carlo simulation is employed to evaluate all the possible scenarios of variation and to estimate the corresponding project returns. The output of the Monte Carlosimulations is the probability distribution of the project returns. Then, risk scores are calculated in the fuzzy environment for them. Finally, the best IT project is valued based on a fuzzy utility function. The fuzzy utility of investment for the decision maker is determined by the use of the geometric average of the real option and risk scores.

Klebsiella pneumoniae and Enterobacter cloacae Induced Septic Arthritis in a Healthy Adolescent: A Rare Case Report

Reza Zandi,Shahin Talebi,Shirin Sheibani,Medical Student,Akbar Ehsani 대한고관절학회 2022 Hip and Pelvis Vol.34 No.3

Septic arthritis (SA) is a joint inflammation that develops secondary to infectious causes. SA in children is associated with a high rate of morbidity and mortality; therefore, it is regarded as an orthopedic emergency. Because SA of the hip joint usually mimics other musculoskeletal diseases, diagnosis remains challenging. Although this lesion usually shows a good outcome, treatment at an inappropriate time, neglect, or inadequate treatment could lead to poor outcomes. We report on the case of a healthy adolescent who complained of episodes of fever and chills, weight loss, pain in his left hip, and limping. After performing necessary workups, two differential diagnoses of tumor and SA were made. The results of Gram stain and culture of the synovial fluid after surgical excision showed Klebsiella pneumoniae and Enterobacter cloacae complex. To the best of our knowledge, this is the first report of SA due to co-infection with K. pneumoniae and E. cloacae in a healthy patient.

Severe acute respiratory syndrome coronavirus 2 and respiratory syncytial virus coinfection in children

Milad Zandi,Saber Soltani,Mona Fani,Samaneh Abbasi,Saeedeh Ebrahimi,Ali Ramezani 질병관리본부 2021 Osong Public Health and Research Persptectives Vol.12 No.5

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has infected many people around the world. Children are considered an important target group for SARS-CoV-2, as well as other viral infections such as respiratory syncytial virus infection. Both SARS-CoV-2 and respiratory syncytial virus can affect the respiratory tract. Coinfection of SARS-CoV-2 and respiratory syncytial virus can pose significant challenges in terms of diagnosis and treatment in children. This review compares the symptoms, diagnostic methods, and treatment of COVID-19 and respiratory syncytial virus infection in children.

The role of lipids in the pathophysiology of coronavirus infections

Milad Zandi,Parastoo Hosseini,Saber Soltani,Azadeh Rasooli,Mona Moghadami,Sepideh Nasimzadeh,Farzane Behnezhad 질병관리본부 2021 Osong Public Health and Research Persptectives Vol.12 No.5

Coronaviruses, which have been known to cause diseases in animals since the 1930s, utilize cellular components during their replication cycle. Lipids play important roles in viral infection, as coronaviruses target cellular lipids and lipid metabolism to modify their host cells to become an optimal environment for viral replication. Therefore, lipids can be considered as potential targets for the development of antiviral agents. This review provides an overview of the roles of cellular lipids in different stages of the life cycle of coronaviruses.

Investigating distinctive psychological characteristics of successful and unsuccessful elite Iranian Taekwondo athletes

( Hassan Gharayagh Zandi ),( Mahmoud Mohebi ) 국제태권도학회 2016 Journal of the International Association for Taekw Vol.3 No.1

The aim of the present study is to investigate the eminent psychological characteristics of successful and unsuccessful elite Iranian Taekwondo athletes. The population of this study included all Taekwondo athletes who participated in Iranian Championship competitions, from which 60 male athletes (30 successful, 30 unsuccessful) were selected randomly. Two groups completed a battery of psychological tests that included measures of sport orientation, sport mental toughness, Rosenberg`s self-esteem scale, sport competitive anxiety traits, and multidimensional perfectionism. After determining descriptive statistics indexes, data were analyzed by a one-way variance test. The results revealed that successful athletes scored significantly higher on mental toughness dimensions (confidence, consistency, and control). Generally, the results showed the importance of specific psychological characteristics in distinctive successful and unsuccessful Taekwondo athletes; therefore, psychologists and coaches need to consider developing mental toughness among athletes at higher competitive levels in order to achieve success.

On the optimization of building energy, material, and economic management using soft computing

Wei, Zhao,Zandi, Yousef,Gholizadeh, Morteza,Selmi, Abdellatif,Roco-Videla, Angel,Konbr, Usama Techno-Press 2021 Advances in concrete construction Vol.11 No.6

This paper provides energy and economic analysis relevant to the cooling season in building enclosures. For a whole year, an Energy Plus thermal transfer model has been created and simulated. Simulations were made from the cities in five different areas of climate in China using weather data files. Energy savings were done from natural cold (e.g., outdoor air), and electricity reductions were performed from air-conditioning electricity devices. This research has investigated the relationship between the cost and building energy while finding a strong and positive correlation. This study has used the Artificial Intelligence (AI) model as Extreme Learning Machine (ELM) and Teaching Learning Based Optimization (TLBO) to calculate the accurate measurement. Three regression models as Pearson correlation coefficient (r), root mean square (RMSE), and coefficient of determination (R²) was used to calculate the results. Following the results of (R²) and RMSE, ELM has shown its higher performance in predicting the strength, energy, and cost of building materials. Based on the simulation results, for office buildings situated in cold areas, the energy savings resulting from phase change materials (PCM) are more prevalent. The test findings demonstrate that the energy savings from PCM applications for the cool area and hot summers and cold winter office buildings were increased. Simple payback time indicated that PCMBs in inhabited buildings could be used cost-effectively in a mild temperature environment.