@jyothyit.ac.in
Associate Professor & Head, Department of Civil Engineering
Jyothy Institute of Technology, Bangalore-560082
K S has more than nine year of teaching experience and works as an Associate Professor. His works on Earthquake Engineering, Concrete Technology, soil-Structure Interaction, Application of GIS in Water Resources Engineering and Masonry Structures are published in various international journals. He has published more than 40 publications which includes springer and Taylor Francis book chapters. He has written more than 10 book chapters and presented technical papers in national/international conferences. In his short duration of teaching experience he has authored two books including “Elements of Civil Engineering and Engineering Mechanics” and “Mechanics of materials. He has guided more than 12 UG projects sponsored by Karnataka State Council for Science and Technology (KSCST), Bangalore from 2015 to 2021. He has the honors' of life member of ISTE, ICI, INSC, NICEE and IAENG.
Doctor of Philosophy - PhD at Visvesvaraya Technological University (BMSCE) in Civil Engineering & Sciences.
Post Graduation- M.tech at Visvesvaraya Technological University (NCET) in Structural Engineering.
Under Graduation- B.E at Visvesvaraya Technological University (Government Engineering College-Hassan) in Civil Engineering.
Masonry Structures, Bio-composites, Concrete Structures, Steel Structures, Structural Design, Finite Element Analysis, Matrix method of structural analysis, Structural Dynamics, Earthquake Resistant Design, Water resources Engineering, Environmental Engineering, Interdisciplinary developments
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Anilkumar Anilkumar, K S Sreekeshava, C. Bhargavi, and B K Raghu Prasad
Horizon Research Publishing Co., Ltd.
Ganesh C. R., Kumar R. Rao, J. Sumalatha, Sreekeshava K. S., and B. K. Raghu Prasad
Informa UK Limited
C. Bhargavi, K S Sreekeshava, Narendra Reddy, and Naveen Dyava Naik
MDPI AG
This study investigates the Mode II fracture behavior of bamboo–coir–rubber (BCR) hybrid composite panels developed as sustainable alternatives for wood-based panels used in structural applications. The composites were fabricated using alternating bamboo and coir layers within a polypropylene (PP) thermoplastic matrix, with styrene–butadiene rubber (SBR) incorporated as an additive at 0–30 wt.% to enhance interlaminar toughness. Commercial structural plywood was tested as the benchmark. Mode II interlaminar fracture toughness (GIIc) was evaluated using the ASTM D7905 End-Notched Flexure (ENF) test, supported by optical monitoring to study crack monitoring and Scanning Electron Microscopy (SEM) for microstructural interpretation. Results demonstrated a steady increase in GIIc from 1.26 kJ/m2 for unmodified laminates to a maximum of 1.98 kJ/m2 at 30% SBR, representing a 60% improvement over the baseline and nearly double the toughness of plywood (0.7–0.9 kJ/m2). The optimum performance was obtained at 20–25 wt.% SBR, where the laminated retained approximately 85–90% of their initial flexural modulus while exhibiting enhanced energy absorption. Increasing the initial notch ratio (a0/L) from 0.2 to 0.4 caused a reduction of 20% in GIIc and a twofold rise in compliance, highlighting the geometric sensitivity of shear fracture to the remaining ligament. Analysis of Variance (ANOVA) confirmed that the increase in GIIc for the 20–25% SBR laminates relative to plywood and the unmodified composite is significant at p < 0.05. SEM observations revealed rubber-particle cavitation, matrix shear yielding, and coir–fiber bridging as the dominant toughening mechanisms responsible for the transition from abrupt to stable delamination. The measured toughness levels (1.5–2.0 kJ/m2) position the BCR panels within the functional range required for reusable formwork, interior partitions, and transport flooring. The combination of renewable bamboo and coir with a thermoplastic PP matrix and rubber modification hence offers a formaldehyde-free alternative to conventional plywood for shear-dominated applications.
C. Bhargavi, K S Sreekeshava, and B K Raghu Prasad
MDPI AG
This scoping review paper provides an overview of the evolution, the current stage, and the future prospects of fracture studies on composite laminates. A fundamental understanding of composite materials is presented by highlighting the roles of the fiber and matrix, outlining the applications of various synthetic fibers used in current structural sectors. Challenges posed by interlaminar delamination, one of the critical failure modes, are highlighted. This paper systematically discusses the fracture behavior of these laminates under mixed-mode and complex loading conditions. Standardized fracture toughness testing methods, including Mode I Double Cantilever Beam (DCB), Mode II End-Notched Flexure (ENF) and Mixed-Mode Bending (MMB), are initially discussed, which is followed by a decade-wide chronological analysis of fracture mechanics approaches. Key advancements, including toughening mechanisms, Cohesive Zone Modeling (CZM), Virtual Crack Closure Technique (VCCT), Extended Finite Element Method (XFEM) and Digital Image Correlation (DIC), are analyzed. The review also addresses recent trends in fracture studies, such as bio-inspired architecture, self-healing systems, and artificial intelligence in fracture predictions. By mapping the trajectory of past innovations and identifying unresolved challenges, such as scale integration, dataset standardization for AI, and manufacturability of advanced architectures, this review proposes a strategic research roadmap. The major goal is to enable unified multi-scale modeling frameworks that merge physical insights with data learning, paving the way for next-generation composite laminates optimized for resilience, adaptability, and environmental responsibility.
Anilkumar, K S Sreekeshava, and C Bhargavi
MDPI AG
Considering the urgent need for sustainable construction materials, this study investigates the mechanical and microstructural responses of novel hybrid geopolymer concrete blends incorporating Fly Ash (FA), Ground Granulated Blast Furnace Slag (GGBS), Cement (C) and Precipitated Silica (PS) as partial replacements for traditional cementitious materials. The motive lies in reducing CO2 emissions associated with Ordinary Portland Cement (OPC). The main aim of the study was to optimise the proportions of industrial wastes for enhanced performance and sustainability. The geopolymer mixes were activated using a 10 M sodium hydroxide (NaOH)—Sodium Silicate (Na2SiO3) solution and cast into cubes (100 mm), cylinders (100 mm × 200 mm) and prism specimens for compressive, split tensile and flexural strength testing, respectively. Six combinations of mixes were studied: FA/C (50:50), GGBS/C (50:50), FA/C/PS (50:40:10), FA/GGBS/PS (50:40:10), GGBS/C (50:50) and GGBS/FA/PS (50:40:10). The results indicated that the blend with 50% FA, 40% GGBS and 10% PS exhibited higher strength. Mixes with GGBS and PS presented a l0 lower slump due to rapid setting and higher water demand, while GGBS-FA-cement mixes indicated better workability. GGBS/C exhibited a 24.6% rise in compressive strength for 7 days, whereas FA/C presented a 31.3% rise at 90 days. GGBS/FA mix indicated a 35.5% strength drop from 28 days to 90 days. SEM and EDS analyses showed that FA-rich mixes had porous microstructures, while GGBS-based mixes formed denser matrices with increased calcium content.
Thanh-Quang-Khai Lam, Thi-Thuy-Trang Vo, and K.S. Sreekeshava
Bilingual Publishing Group
Exploring alternative aggregates or recycled aggregates to substitute traditional concrete aggregates, particularly sand aggregates, which are becoming more limited and must comply with environmental protection standards, is essential. Research has explored various alternative materials to sand in concrete, including concrete from demolished buildings, and broken glass from projects, among others. Investigating the use of recycled broken glass to substitute sand aggregates and implementing this research in compression columns is crucial. This paper examines the compressive behavior of reinforced concrete columns that utilize recycled glass particles as a substitute for sand in concrete. The research findings establish the relationships: load and vertical displacement, load and deformation at the column head, mid-column, and column base; the formation and propagation of cracks in the column, while considering factors such as the percentage of recycled glass, the arrangement of stirrups, and the amount of load-bearing steel influencing the performance of square reinforced concrete columns under compression. The feasibility of using recycled glass as a substitute for sand in column structures subjected to compression has been demonstrated, with the ideal replacement content for sand aggregate in reinforced concrete columns in this study ranging from 0% to 10%. The column’s load-bearing ability dropped from 250 kN to 150 kN when 100% recycled glass was used instead of sand. This is a 40% drop, and cracks started to show up sooner. The research will support recycling broken glass instead of using sand in building, improving the environment and reducing natural sand use.
B. R. Kavya, A. S. Shrikanth, and K. S. Sreekeshava
MDPI AG
The shear behavior of beams cast with steel fiber reinforced concrete and provided with stirrups is a complex phenomenon that depends on various factors. In the present research effort, a hybrid support vector regression model combined with a particle swarm optimization algorithm is provided, to explore the relationship between the material and dimensional characteristics of a concrete beam and its shear strength. A database with diverse material properties associated with the shear strength of a steel fiber reinforced concrete beam was established from numerous reliable published research articles and was utilized for the development and evaluation of the model. The obtained results from the hybrid support vector regression model were then validated through the results of the artificial neural network and convolutional neural network models combined with the particle swarm optimization algorithm. In conclusion, the adopted hybrid support vector regression approach was proven to be a successful engineering technique that can be used in structural and construction engineering problems.
K. S. Sreekeshava, Hugo Rodrigues, A. S. Arunkumar, and Manish S. Dharek
Springer Science and Business Media LLC
Renuka Sai Gadekari, Sreevalsa Kolathayar, and K. S. Sreekeshava
Springer Science and Business Media LLC
A. R. Nagalakshmi, A. S. Shrikanth, G. K. Kalavathi, and K. S. Sreekeshava
MDPI AG
The incidence of edges on vertices is a cornerstone of graph theory, with profound implications for various graph properties and applications. Understanding degree distributions and their implications is crucial for analyzing and modeling real-world networks. This study investigates the impact of vertex degree distribution on the energy landscape of graphs in network theory. By analyzing how vertex connectivity influences graph energy, the research enhances the understanding of network structure and dynamics. It establishes important properties and sharp bounds related to degree spectra and degree energy. Furthermore, the study determines the degree spectra and degree energy for several key families of graphs, providing valuable insights with potential applications across various fields.
N Vinod Chandra Menon, Sreevalsa Kolathayar, and K S Sreekeshava
CRC Press
Sreevalsa Kolathayar, N Vinod Chandra Menon, and K S Sreekeshava
CRC Press
Sreevalsa Kolathayar, N Vinod Chandra Menon, and Sreekeshava K S
CRC Press
K. S. Sreekeshava, Sreevalsa Kolathayar, N. Vinod Chandra Menon, and C. Bhargavi
Springer Nature Singapore
K. S. Sreekeshava, Sreevalsa Kolathayar, N. Vinod Chandra Menon, and Bhargavi.C
Springer Nature Singapore
N. Vinod Chandra Menon, Sreevalsa Kolathayar, K. S. Sreekeshava, and C. Bhargavi
Springer Nature Singapore
N. Vinod Chandra Menon, Sreevalsa Kolathayar, Hugo Rodrigues, K. S. Sreekeshava, and C. Bhargavi
Springer Nature Singapore