Arham Abdullah

A Monte Carlo technique in safety assessment of slope under seismic condition

In geotechnical engineering, stabilization of slopes is one of the significant issues that needs to be considered especially in seismic situation. Evaluation and precise prediction of factor of safety (FOS) of slopes can be useful for designing/analyzing very important structures such as dams and highways. Hence, in the present study, an attempt has been done to evaluate/predict FOS of many homogenous slopes in different conditions using Monte Carlo (MC) simulation technique. For achieving this aim, the most important parameters on the FOS were investigated, and finally, slope height (H), slope angle (α), cohesion (C), angle of internal friction (

Reduce, reuse, recycle and recovery in sustainable construction waste management

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Application of Design Experiments to Evaluate the Effectiveness of Climate Factors on Energy Saving in Green Residential Buildings

∅) and peak ground acceleration (PGA) were selected as model inputs to estimate FOS values. In the first step of analysis, a multiple linear regression (MLR) equation was developed and then it was used for evaluation and prediction by MC technique. Generally, MC model simulated FOS of less than 1.18, lower and higher than measured and predicted FOS values, respectively. However, the results of MC simulation for the FOS values of more than 1.33, is higher than those measured and predicted FOS values. As a result, the mean of FOS values simulated by MC was very close to the mean of actual FOS values. Moreover, results of sensitivity analysis demonstrated that the (

INVESTIGATING THE ENVIRONMENTAL IMPACTS OF GREEN ROOF INSTALLATION

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Part deployment model using combined quality function deployment and cybernetic fuzzy analytic network process

∅), among other parameters, is the most effective one on FOS. The obtained results indicated that MC is a reliable approach for evaluating and estimating FOS of slopes with high degree of performance.

Post occupancy evaluation assessment model for low energy office buildings

AbstractThis paper presents an analytic network process (ANP) experiment for demolition plan evaluation. An experimental case study on the Warren Farm Bridge demolition project is used to demonstrate the effectiveness of an ANP model to support finding the most appropriate demolition plan. Alternative plans used in the experiment include plans that utilise deliberate collapse, progressive demolition, and deconstruction. The ANP model adopted the same assessment criteria, which were previously used in an analytic hierarchy process (AHP) model for the same evaluation purpose for the case project, in order to further make a comparison between AHP and ANP models with different evaluation results. Further to the conclusion that ANP is a viable and capable approach to demolition plan evaluation, the experiment provides a notably different result, which matches the demolition plan actually used, on the most appropriate solution for the case project in comparison with the AHP model. This study indicates that furt...