Krishna Kumar

Dr. Krishna Kumar

Department of Civil, Architectural and Environmental Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 December 2023 in Computers and Geotechnics
Verified
Journal Article
Closed access
YCYongjin Choi
Yongjin Choi
KKKrishna Kumar
Krishna Kumar

14 April 2021 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
ESEkaterina Stansfield
Ekaterina Stansfield
KKKrishna Kumar
Krishna Kumar
PMPhilipp Mitteroecker
Philipp Mitteroecker
NGNicole D. S. Grunstra
Nicole D. S. Grunstra
Significance: The relatively small human birth canal has arisen from an evolutionary trade-off between multiple antagonistic selective forces. We present evidence that a large pelvic floor is disadvantageous for maintaining continence and supporting the weight of the inner organs and the fetus through multiple finite element analyses of pelvic floor models varying in size and thickness. An increase in pelvic floor size led to a disproportionately large deflection as well as higher tissue stretches and stresses. Increased pelvic floor thickness considerably reduced deflection by increasing stiffness. However, as a side effect, it increases the intra-abdominal pressure necessary for childbirth, thus reflecting another evolutionary trade-off affecting not only the size but also the thickness of the pelvic floor.

1 January 2024 in Journal of Geotechnical and Geoenvironmental Engineering
Verified
Journal Article
Closed access
KKKrishna Kumar
Krishna Kumar

29 September 2019 in engrXiv
Verified
Preprint
Open access
KKKrishna Kumar
Krishna Kumar
JSJeffrey Salmond
Jeffrey Salmond
SKShyamini Kularathna
Shyamini Kularathna
CWChristopher Wilkes
Christopher Wilkes
ESEzra Yoanes Setiasabda
Ezra Yoanes Setiasabda
KSKenichi Soga
Kenichi Soga
In this paper, we describe a new scalable and modular material point method (MPM) code developed for solving large-scale problems in continuum mechanics. The MPM is a hybrid Eulerian-Lagrangian approach, which uses both moving material points and computational nodes on a background mesh. The MPM has been successfully applied to solve large-deformation problems such as landslides, failure of slopes, concrete flows, etc. Solving these large-deformation problems result in the material points actively moving through the mesh. Developing an efficient parallelisation scheme for the MPM code requires dynamic load-balancing techniques for both the material points and the background mesh. This paper describes the data structures and algorithms employed to improve the performance and portability of the MPM code.

25 August 2023 in Journal of Open Source Software
Verified
Journal Article
Open access
PDF file
KKKrishna Kumar
Krishna Kumar
JVJoseph Vantassel
Joseph Vantassel

16 December 2024 in Computer Methods in Applied Mechanics and Engineering
Verified
Journal Article
Closed access
TITyler Ingebrand
Tyler Ingebrand
ATAdam J. Thorpe
Adam J. Thorpe
SGSomdatta Goswami
Somdatta Goswami
KKKrishna Kumar
Krishna Kumar
UTUfuk Topcu
Ufuk Topcu