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Investigating the parameters influencing the behavior of buried pipelines under dynamic loading is of great

importance. In this study the soil structure interaction of the pipelines with the surrounding soil was addressed using

shaking table tests. Wave propagation along the soil layers was also included in the study. The semi infinite nature of

the field was simulated using a laminar shear box. The soil used in the experiments was Babolsar coastal sand (Iran).

PVC pipes were used due to their analogy with the field. Eight models were constructed with the first four models

having uniform base. In the next models, the non-uniformities of real ground were simulated using a concrete pedestal

installed at the very bottom of the shear box. Pipe deformations under dynamic loading, acceleration distribution in

height, soil settlement and horizontal displacements were measured by strain gauges, acceleratometers and

displacement meters. Analyzing the obtained data, influence of different parameters of dynamic loading such as

acceleration, frequency, soil density, base conditions and shaking direction to pipe axis on the acceleration

amplification ratio and pipe deformation were investigated. Also in order to study the effect of dynamic loading on two

different materials, soil and pipe, the horizontal strains were compared

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Runoff simulation is a vital issue in water resource planning and management. Various models with different levels of accuracy

and precision are developed for this purpose considering various prediction time scales. In this paper, two models of IHACRES

(Identification of unit Hydrographs And Component flows from Rainfall, Evaporation and Streamflow data) and ANN (Artificial

Neural Network) models are developed and compared for long term runoff simulation in the south eastern part of Iran. These

models have been utilized to simulate5-month runoff in the wet period of December-April. In IHACRES application, first the

rainfall is predicted using climatic signals and then transformed to runoff. For this purpose, the daily precipitation is downscaled

by two models of SDSM (Statistical Downscaling Model) and LARS-WG (Long Ashton Research Station-Weather Generator). The

best results of these models are selected as IHACRES model input for simulating of runoff. In application of the ANN model,

effective large scale signals of SLP(Sea Level Pressure), SST(Sea Surface Temperature), DSLP and runoff are considered as model

inputs for the study region. The performances of the considered models in real time planning of water resources is evaluated by

comparing simulated runoff with observed data and through SWSI(Surface Water Scarcity Index) drought index calculation.

According to the results, the IHACRES model outperformed ANN in simulating runoff in the study area, and its results are more

likely to be comparable with the observed values and therefore, could be employed with more certainty.

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Barrel vaults are attractive space structures that cover large area without intermediate supports. In this paper, the charged

search system (CSS) optimization algorithm is employed for optimal design of barrel vaults. This method utilizes the governing

laws of Coulomb and Gauss from electrostatics and the Newtonian law of mechanics. The results demonstrate the efficiency of

the discrete CSS algorithm compared to other meta-heuristic algorithms.

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The purpose of this study is to compare the results of different probabilistic methods such as the perturbation method, Stochastic Finite Element Method (SFEM) and Monte Carlo Method. These methods were used to study the convergence of direct approach for slope stability analysis and are developed for a linear soil behavior. In this study, two dimensional random fields are used and both the First Order Reliability Method (FORM) and Limited Step Length Iteration Method (LSLIM) have been adopted to evaluate the reliability index. The study found that the perturbation method of the second order is easy to apply using the field’s theory because accuracy is reached even with different coefficients of variation of input variables, while the spectral finite element method yields accurate results only for high levels of solution development.

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Soil contamination by heavy metals is a worldwide environmental challenging issue. Due to the industrial activities, a site located in North West of Shiraz (Fars Province, Iran) has the potential to be contaminated by different heavy metals. The objective of this study was to assess the effectiveness of dicalcium phosphate (DCP) and sodium tripoly phosphate (STPP) for immobilizing lead, copper and cadmium in contaminated soils. Leaching column tests performed on the soil without any stabilizing agent demonstrated a uniform leachate of metals in the effluent during the experimental period. After mixing DCP or STTP with the contaminated soils, the release of all three heavy metals through the effluent was ceased. The results further indicated that 0.1 to 0.2 percent by weight of these stabilizers is effective for immobilizing of applied metals through the experimental soil. Penetration of acid sulfuric solution with pH of 5 had no influence on stabilizing efficiency and almost whole the applied heavy metals seem to be immobilized through the soil media.