Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Analysis of multi-story buildings with hybrid shear wall: steel bracing structural system

Abstract: Numerous studies were contemplated on the structures with distinctive structural configuration and ample amount of work is currently being performed through the investigation of the response of individual behavior of shear walls and bracings by varying configurations and their material properties. Seismic design philosophies had mentioned firmly that a structure must accomplish Life Safety and Performance Level for both reinforced concrete and steel structures. This study is anchored on prevailing lateral load resisting system which is virtuous but not adequate to retain vigorous ground motion or acceleration. To overwhelm this problem, an attempt was made to familiarize a new lateral load resisting system formulated by the amalgamation of two different existing lateral load resisting systems, specifically shear walls and bracings. The hybrid structural system embraces two distinctive lateral load resisting techniques, shear walls, and bracings for moment-resisting frame. A numerical finite element study was carried out by the linear dynamic method on the response of structure subjected to seismic condition and an optimal configuration of the different structural patterns is assured by using numerous possible patterns of a hybrid structural system using finite element-based software. The criteria contemplated for study including time period, base shear, overturning moment, story drift ratio, and story displacement are compared with different models and the optimal structure is concluded based upon the recital. The comparative results revealed that there is a reduction noticed in the fundamental time period, and story displacement, where as there is negligible increment in base shear and overturning moment for the hybrid structural system as compared to other configurated models.

Effect of Gradation and Morphological Characteristics of Aggregates on Mechanical Properties of Bituminous Concrete and Dense Bituminous Macadam

Abstract: In present study, two different sizes i.e., gradation I and II, for both bituminous concrete (BC) and dense bituminous macadam (DBM) of aggregates are castoff to investigate the influence of gradation on four different shapes (i.e., round, angular, flaky and elongated). Subsequently, traditional methods and 3D optical scanner image analysis were infringed for morphological characteristics of the aggregates. In addition, scanning electron microscopy and energy dispersive X-ray spectroscopy analysis were carried out for determination of mineral composition and microstructure of aggregates. The results (from total 32 set of experiments as per factorial design) resolute that aggregate morphological characteristic is intensely associated with the resistance to permanent deformation of bituminous mixtures, and BC II and DBM II gradation represent better performance than BC I and DBM I. Furthermore, 3D optical scanner demonstrates a more direct and scientific evaluation of aggregate’s morphologic characteristics that present a superior relationship between the mixture performances than traditional techniques. It was found that the aggregate chemical composition, surface texture and filler microscopic morphological characteristics are highly associated with mechanical response and performance of bituminous mixtures.

Proactive Scheduling in Cloud Computing

Abstract: Autonomic fault aware scheduling is a feature quite important for cloud computing and it is related to adoption of workload variation. In this context, this paper proposes an fault aware pattern matching autonomic scheduling for cloud computing based on autonomic computing concepts. In order to validate the proposed solution, we performed two experiments one with traditional approach and other other with pattern recognition fault aware approach. The results show the effectiveness of the scheme.

Corrosion Inhibition Applications of Natural and Eco-Friendly Corrosion Inhibitors on Steel in the Acidic Environment: An Overview

Abstract: Mild steel suffers serious acidic corrosion, so it should not be utilized in corrosive surroundings unless some type of protective coating is employed. Many organic compounds show sensible anti-corrosive activity. However, the majority of them are exceptionally poisonous to both human beings and the environment. Recently there has been an expanding interest in the further scientific improvement of green corrosion inhibitors. On account of the natural danger, the utilization of chemical inhibitors has been limited. The unsafe impact of most synthetic inhibitors inspired the use of natural extract to stop corrosion. In this review article, there is an overview of corrosion types, the process of corrosion, and reviews of green corrosion inhibitors for mild steel. Various phytochemical constituents present in plant extracts and their corrosion inhibition efficiency in acid solutions are also discussed. Writing overview uncovers that various plant extracts, for example, leaf, root, stem, bark, mash, organic product, have been adequately utilized as reasonable inhibitors for the corrosion of various metals and alloys.