iosr-JMCE   Volume-6 ~ Issue-5

Abstract: In recent years attention has been given to the acidification and alkalization of the soils to understand physico-chemical and Engineering properties. The effect of Sulphuric acid and Orthophosphoric acid with Calcium Carbonate and Magnesium Carbonate treated soils is studied. The Optimum percentages of CaCO3 and MgCO3 mix were found for Black Cotton soil and Red Earth based on compaction test. Liquid limit is decreased with CaCO3.and increased with MgCO3. Plastic limit is increased with CaCO3 and decreased with. MgCO3. Shrinkage limit is increased with CaCO3 and decreased with MgCO3. Acidification of alkalis treated soils by one normal Sulphuric acid and one normal Ortho Phosphoric acid showed alteration and impairment in index properties. However, the effect of 1N H3PO4 on the alkali treated soils has less negative effect than with 1N H2SO4 on the index properties. It is evident that the index properties of soils are altered when compared with their initial characteristics. The reasons for the observed behavior of soils are addressed.

Keywords: Index properties, Sub surface Contamination, diffused double layer, particle aggregation, cation exchange,

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Abstract: Path planning and navigation is essential for an autonomous robot which can move avoiding the static obstacles in a real world and to reach the specific target. Optimizing path for the robot movement gives the optimal distance from the source to the target and save precious time as well. With the development of various evolutionary algorithms, the differential evolution is taking the pace in comparison to genetic algorithm. Differential evolution has been deployed quite successfully for solving global optimization problem. Differential evolution is a very simple yet powerful metaheuristics type problem solving method. In this paper we are proposing a Differential Evolution based path navigation algorithm for mobile path navigation and analyze its efficiency with other developed approaches. The proposed algorithm optimized the robot path and navigates the robot to the proper target efficiently.

Keywords- Path navigation, differential evolution, genetic algorithm, neural network

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Abstract: Double skin composite (DSC) is a form of "steel/concrete/steel" sandwich structure; the steel plates are connected to a sandwiched concrete core with welded stud shear connectors. In the present paper, a finite element model for Double Skin Composite (DSC) panels subjected to quasi-static loading is developed. A series of quasi-static finite elements models are used to analyze deformation and energy absorption capacity of such system, when perforated by rigid penetrator with conical nose shape. Pilot test model is used to investigate the failure pattern in the composite panel. The obtained results are compared to the experimental results; good agreements are obtained between finite element and previous experimental results. Results show that such elements have great ability of absorbing energy when subjected to perforation due to ductility of lower plate skin and vertical stiffness of lower shear studs. Keywords: Double skin composite; Quasi-static test; Shear connectors; Finite Elements.

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[6 ] Shanmugam, N. E., Ghanshyam Kumar and Thevendran,V., "Finite element modeling of double skin composite slabs", Journal of finite element in analysis and design, No.38, pp 579-599, (2002).

[7] Xie, M., Foundoukos, N. and Chapman, J.C., "Experimental and numerical investigation on the shear behavior of friction welded bar-plate connections embedded in concrete", J. of constructional steel research, vol. 61, No. 5, pp625-649, (2005).

[8] Mohamadien, A.R., Agour, A.A., Omer, A.A. and Yones, M.M." Quasi static indentation of double skin composite panels", 12th International Conference on Aerospace Sciences & Aviation Technology, MTC, Egypt, pp 1-12, (2007)

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