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P.K. Pandey

Abstract

In this article, we propose a new computational method for second order initial value problems in ordinary differential equations. The algorithm developed is based on a local representation of theoretical solution of the second order initial value problem by a non-linear interpolating function. Numerical examples are solved to ensure the computational performance of the algorithm for both linear and non-linear initial value problems. From the results we obtained, the algorithm can be said computationally efficient and effective.

Open access

Satish Pandey and P.K. Jain

ABSTRACT

India has world’s second largest road network in terms of length with a total road length of 4.24 million km. Hot mix bituminous pavement contributes around 50% road length to this vast road network. Large scale highway construction in India, emanating from rapid development, has caused massive depletion of scarce natural aggregate. This paper addresses this problem by investigating the influences of the utilization of steel slag as a coarse aggregate on the properties of hot mix bituminous concrete. Physical characteristics of bituminous mix ingredients i.e natural aggregate, steel slag aggregate and bituminous binder were determined to find out their compliance with Ministry of Road Transport and Highway Specification for Road and Bridge Works in India. Mechanical characteristics of bituminous mixes i.e Unmodified (having natural aggregate) and Modified (having steel slag as coarse aggregate) were determined using Marshall Method of mix design.

Unmodified and Modified mixes were subjected to an array of performance tests to check out the suitability of steel slag aggregates for the preparation of high performance bituminous concrete mix. The performance tests includes, retained Marshall Stability, indirect tensile strength, static creep test, wheel-tracking test and resilient modulus test. The laboratory study confirmed the improvement in various mechanical properties of steel slag modified mixes besides reduction in temperature and moisture susceptibility.

Open access

P.K. Pandey and S.S.A. Jaboob

Abstract

In this article, we have considered for numerical solution of a Poisson and Laplace equation in a domain. we have presented a novel finite difference method for solving the system of the boundary value problems subject to Dirichlet boundary conditions. We have derived the solution of the Poisson and Laplace equations in a two-dimensional finite region. We present numerical experiments to demonstrate the efficiency of the method.

Open access

Sunita Kataria, Priti Dehariya, K.N. Guruprasad and G.P. Pandey

The influence of ambient solar UV-A or UV-B radiation on growth responses was investigated in three varieties of cotton (Gossypium hirsutum L.) after exclusion of solar UV-A/B radiation: JK-35, IH-63 and Khandwa-2. Cotton plants were grown from seeds in UV-exclusion chambers lined with selective UV filters to exclude either UV-B (280-315 nm) or UV-A/B (280-400 nm) from the solar spectrum under field conditions. Excluding UV-B and UV-A/B significantly increased plant height, leaf area and dry weight accumulation in all three varieties of cotton. The varieties differed considerably in their sensitivity to ambient UV-A/B. Khandwa-2 was most sensitive and JK-35 least sensitive to ambient solar UV. We monitored the activity of the antioxidant enzymes superoxide dismutase (SOD), ascorbic acid peroxidase (APX), glutathione reductase (GR) and guaiacol peroxidase (GPX), as well as the level of the antioxidant ascorbic acid (ASA), in primary leaves of the most UV-sensitive variety (Khandwa-2). The level of UV-B-absorbing substances was significantly decreased by exclusion of solar UV-B and UV-A/B. Exclusion of solar UV decreased the activity of all the antioxidant enzymes monitored and the level of ascorbic acid versus control plants (+UV-A/B) grown under filters transparent to solar UV. Reduction of the antioxidant defense after UV exclusion indicates that ambient solar UV exerts significant stress and induces some reactive oxygen species to accumulate, which in turn retards the growth and development of cotton plants. Ambient solar UV stresses cotton plants, shifting their metabolism towards defense against solar UV. Exclusion of solar UV eliminates the need for that defense and leads to enhancement of primary metabolism.