Searcharxiv⌕ Search

arXiv subjects

Rajesh Moharana

Publications and source records attributed to Rajesh Moharana.

2 recordsLinked to original sources

Engineering Mythology: A Digital-Physical Framework for Culturally-Inspired Public Art

Navagunjara Reborn: The Phoenix of Odisha was built for Burning Man 2025 as both a sculpture and an experiment-a fusion of myth, craft, and computation. This paper describes the digital-physical workflow developed for the project: a pipeline that linked digital sculpting, distributed fabrication by artisans in Odisha (India), modular structural optimization in the U.S., iterative feedback through photogrammetry and digital twins, and finally, one-shot full assembly at the art site in Black Rock Desert, Nevada. The desert installation tested not just materials, but also systems of collaboration: between artisans and engineers, between myth and technology, between cultural specificity and global experimentation. We share the lessons learned in design, fabrication, and deployment and offer a framework for future interdisciplinary projects at the intersection of cultural heritage, STEAM education, and public art. In retrospect, this workflow can be read as a convergence of many knowledge systems-artisan practice, structural engineering, mythic narrative, and environmental constraint-rather than as execution of a single fixed blueprint.

cs.GR↗

Ordering Results between Two Extreme Order Statistics with Heterogeneous Linear Failure Rate Distributed Components

Stochastic comparisons of series and parallel systems are important in many areas of engineering, operations research and reliability analysis. These comparisons allow for the evaluation of the performance and reliability of systems under different conditions, and can inform decisions related to system design, probabilities of failure, maintenance and operation. In this paper, we investigate the stochastic comparisons of the series and parallel systems under the assumption that the component lifetimes have independent heterogeneous linear failure rate distributions. The comparisons are established based on the various stochastic orders including magnitude, transform and variability orders. Several numerical examples and counterexamples are constructed to illustrate the theoretical outcomes of this paper. Finally, we summarized our findings with a real-world application and possible future scopes of the present study.

math.ST↗