Estimating the service life of Reinforced Concrete (RC) bridge structures located in corrosive marine environments of a great importance to their owners/engineers. Traditionally, bridge owners/engineers relied more on subjective engineering judgment, e.g. visual inspection, in their estimation approach. However, because financial resources are often limited, rational calculation methods of estimation are needed to aid in making reliable and more accurate predictions of the service life of RC structures. This is in order to direct funds to bridges found to be the most critical. Criticality of the structure can be considered either from the Structural Capacity (i.e. Ultimate Limit State) or from Serviceability viewpoint whichever is adopted. This paper considers the service life of the structure only from the Structural Capacity viewpoint. Considering the great variability associated with the parameters involved in the estimation process, the probabilistic approach is most suited. The probabilistic modelling adopted here used Monte Carlo simulation technique to estimate the Reliability (i.e. Probability of Failure) of the structure under consideration. In this paper the authors used their own experimental data for the Correlation Length (CL) for the most important deterioration parameters. The CL is a parameter of the Correlation Function (CF) by which the spatial fluctuation of a certain deterioration parameter is described. The CL data used here were produced by analyzing 45 chloride profiles obtained from a 30 years old RC bridge located in a marine environment. The service life of the structure was predicted in terms of the load carrying capacity of an RC bridge beam girder. The analysis showed that the influence of SV is only evident if the reliability of the structure is governed by the Flexure failure rather than by the Shear failure. arabic 14 English 80
Omran Mohamed Saleh Kenshel(2-2021)

Abstract Determination of the in-situ engineering properties of subsurface ground materials has always been a challenge for geotechnical engineers. Several in –situ test methods have been developed. Dynamic cone penetration test (DCPT) is one of the in-situ penetration tests which have been widely used to determine the geotechnical parameters of soil. The dynamic cone penetration test (DCPT) is a quick and easy to set up and run onsite. Due to the economy and simplicity of the test, better understanding of correlations between its results and the geotechnical parameters of soil can reduce significantly the efforts and cost to evaluate the engineering properties of ground materials. In this research, a light weight simple DCP device was used for evaluation of some engineering properties of Tripoli sand. The device consisted of an 8kg hammer that drops over a height of 575 mm and drives a 60o cone tip with 20 mm base diameter into the ground. The intention of this investigation is to obtain sufficient data to establish appropriate and reliable correlations among soil parameters and DCPT results. In order to investigate the effect of fine material content on the correlations between the geotechnical parameters and the penetration index (PI) of the DCPT of Tripoli sand, soil samples of different fine material content have been prepared and tested. This research presents the results of the laboratory tests as well as the analysis and discussion of these results. Based on the analysis of test results, the relationships between the DCPT results (penetration index, PI) and the geotechnical parameters of Tripoli sand such as relative density and CBR value are obtained. In this study penetration index of the dynamic cone penetration test from the laboratory prepared samples were correlated with laboratory CBR,s for a number of different soil types. Unique models were found for each type of soil with good coefficient of determination (R2). The combined data gave also a correlation between CBR and penetration index PI which compare very well with those obtained from other studies. There is no clear correlation between the penetration index and both the dry density (gr/cm3) and relative density, with wide scatter and a low coefficient of determination (R2) value.
نورالدين سالم الكثاري (2011)

Abstract Fire is one of the greatest risks for every building and particularly for high-rise buildings. Usually, a building fire causes not only hazard to the occupants in a floor, but also a possible threat to the occupants in other floors and in particular to those located at upper storeys, with rising temperature and with killer smoke. Fire simulation can be performed using software packages designed for such a task. The fire simulation can often include aspects of hazard identification, fire growth and smoke movement, egress assessment, structural fire performance, sprinkler and fire detection system design, and smoke management system specification.The present thesis examines the up-to-date technologies available within the context of fire engineering simulation. This work gives an overview of available software packages that are used today in fire engineering simulation. It presents the procedure of fire simulation inside a high-rise building by using an advanced computer program named the Consolidated Model of Fire Growth and Smoke Transport ) CFAST for short. The CFAST program simulates fire action by calculating fire gases, the evolving distribution of smoke and temperature throughout a building during fire. This computer program is based on solving a set of equations that predict the state variables such as pressure and temperature. These equations are derived from the conservation equations for energy mass and the ideal gas law. It is important to know that the resulting errors, which might result, does not come from these equations, but rather they come from numerical analysis representation of the equations or from the simplifying assumption.
خالد عبد الونيس السكوري (2010)