Qualification: 
Ph.D
k_mini@cb.amrita.edu

Dr. Mini K. M. joined Amrita in 1996 after completing her M. E. in Structural Engineering with Computer Applications. She received her Ph. D. from Anna University and her research area was focused on the application of soft computing in structural engineering.

She was the principal investigator of the All - India Council for Technical Education (AICTE) funded project, “Development and Scale - up of Plunging Hollow Jet and Venturi Aerator.” The aerator developed based on the project was successfully installed in the effluent treatment plant of Amrita Vishwa Vidyapeetham, Coimbatore.

Presently Dr. Mini is the principal investigator for the Department of Science & Technology (DST) funded project, “Investigation of Compatibility between Portland Pozzolana Cement and Admixtures in High Performance Concrete.”

She has several publications in referred international and national journals and in various conferences. She serves as reviewer of international journals such as Structural Engineering and Mechanics, Steel & Composite Structures, Technopress and Journal of Irrigation Engineering, ASCE.

She authored a book titled Analysis and Assessment of Behavior of Infilled Frames using Artificial Neural Networks, published by Lambert Academic Publishing (LAB), ISBN – 978-3-8443-1068-9.

Dr. Mini’s areas of interest include Soft Computing, Structural Optimization, Composite Structures and Wastewater Treatment. Currently she is involved in the study of the improvement of mechanical behavior of polymer based composite materials using nano - materials.

PROJECTS AND CONSULTANCIES

  • “Development of High Volume Flyash Foam Concrete Wall Panel Using Rice Straw as Thermal Insulation Material” Initiative to Promote Habitat Energy Efficiency (I-PHEE) – Department of Science & Technology (DST)
  • “Treatment of Pharmaceutical and personal care products (PPCPs) using Advanced Oxidation Process” (Amrita Vishwa Vidyapeetham)
  •  “Influence of Boron Carbide Addition on Performance and Neutron Shielding Ability of   Cement Mortar Mix” (Amrita Vishwa Vidyapeetham)
  • “Investigation of Compatibility between Portland Pozzolana Cement and Admixtures in High Performance  Concrete” Department of Science and Technology, 2012-2015
  • “Neural network modelling for stability analysis of fibre reinforced composite laminate plates” Institution of Engineers (India)
  •  “Development and scale_up of plunging hollow jet, venturi and sudden expansion type aerators” (F.No.8021/RID-195/2002-03/Revalidated 2003-04), All India Council for Technical Education
     

Publications

Publication Type: Journal Article

Year of Publication Publication Type Title

2017

Journal Article

P. .M.Mrudul, .Upender, T., Tarun, V., Dr. Meera Balachandran, and Dr. Mini K. M., “Study on Silica Infused Recycled Aggregate Concrete Using Design of Experiments”, Journal of Engineering science and Technology, vol. 12, no. 10, 2017.[Abstract]


Recycled Aggregate (RA) generated from the construction industry is used as a material for sustainable construction. The old mortar attached to these aggregates makes it porous and are generally used for low-grade applications. However, by infusing with silica fumes, the properties of recycled aggregate concrete (RAC) can be improved, as the silica fumes get infused into the pores of old mortar attached to it. In this study, the optimum percentage of recycled aggregate that can be used in fresh concrete for higher grade applications was found out. Design of experiments (DoE) was used to optimize percentage of silica fumes and recycled aggregate to achieve optimum properties of concrete. Equations to predict the properties of concrete were also modelled using regression analysis. More »»

2017

Journal Article

V. Kumar. K and Dr. Mini K. M., “Decelerating the Corrosion of Steel Bars in Concrete by Addition of Mineral Admixtures”, International Journal of Earth Sciences and Engineering, 2017.

2017

Journal Article

A. Padanattil, Lakshmanan, M., and Dr. Mini K. M., “Strengthening of plain concrete cylinders with natural sisal FRP composite systems”, International Journal of Earth Sciences and Engineering, 2017.

2017

Journal Article

Aa Padanattil, Dr. Jayanarayanan K., and Dr. Mini K. M., “Novel hybrid composites based on glass and sisal fiber for retrofitting of reinforced concrete structures”, Construction and Building Materials, vol. 133, pp. 146-153, 2017.[Abstract]


In this work an attempt has been made to assess the efficacy of hybrid composite system as a potential choice for the retrofitting of reinforced concrete structures. The combination of synthetic and natural fibers are used for the external confinement of concrete cylinders. A comparative performance analysis of hybrid sisal-glass fiber reinforced polymer (HSGFRP) confinement vis a vis carbon fiber reinforced polymer (CFRP), glass fiber reinforced polymer (GFRP) and sisal reinforced polymer (SFRP) individual confinement is carried out. The axial compressive behaviour, stress-strain response and energy absorption characteristics are studied. The inclusion of sisal fibers along with glass fiber is found to improve the energy absorption characteristics. For predicting the ultimate strength of HSGFRP confined concrete, a new equation was developed based on the lateral confining pressure which shows good agreement with the experimental results. Durability performance studies indicated that exposure to wet/dry conditions and temperature variations resulted an increase in strength for all FRP confined specimens and whereas it decreased for unconfined ones. © 2016 Elsevier Ltd

More »»

2017

Journal Article

B. L. P. Dheeraj Swamy, Raghavan, V., Srinivas, K., K Rao, N., Lakshmanan, M., Dr. Jayanarayanan K., and Dr. Mini K. M., “Influence Of Silica Based Carbon Nano Tube Composites In Concrete”, Advanced Composites Letters, vol. 26, no. 1, pp. 12-17, 2017.[Abstract]


This study focuses on the utilization of highly densified materials in cementitious composites with objectives of improving the mechanical performance and minimizing the number and size of defects. Due to their excellent mechanical properties, carbon nanotubes (CNTs) are now viewed as potential candidate for reinforcement in cement composites. The present paper reports the use of carbon nanotubes (CNTs) as reinforcement to improve the mechanical properties of portland cement paste and creating multifunctional concrete. In order to increase the bonding, and strength, a material with intermediate fineness, highly densified silica fumes, was also utilized. The densified silica fumes along with CNT are added to cement mortar in various proportions. Small-scale specimens were prepared to measure the mechanical properties as a function of nanotube concentration and distribution. Furthermore, properties like shrinkage, permeability and alkalinity of the resultant composite were also investigated. The study addresses the significance of CNT as an additive to the enhancement of properties of cement composite. More »»

2017

Journal Article

KaVarun Kumar, Saravanan, Tbc Jothi, Sreekala, Rb, Gopalakrishnan, Nbd, and Dr. Mini K. M., “Structural damage detection through longitudinal wave propagation using spectral finite element method”, Geomechanics and Engineering, vol. 12, pp. 161-183, 2017.[Abstract]


This paper investigates the damage identification of the concrete pile element through axial wave propagation technique using computational and experimental studies. Now-a-days, concrete pile foundations are often common in all engineering structures and their safety is significant for preventing the failure. Damage detection and estimation in a sub-structure is challenging as the visual picture of the sub-structure and its condition is not well known and the state of the structure or foundation can be inferred only through its static and dynamic response. The concept of wave propagation involves dynamic impedance and whenever a wave encounters a changing impedance (due to loss of stiffness), a reflecting wave is generated with the total strain energy forked as reflected as well as refracted portions. Among many frequency domain methods, the Spectral Finite Element method (SFEM) has been found suitable for analysis of wave propagation in real engineering structures as the formulation is based on dynamic equilibrium under harmonic steady state excitation. The feasibility of the axial wave propagation technique is studied through numerical simulations using Elementary rod theory and higher order Love rod theory under SFEM and ABAQUS dynamic explicit analysis with experimental validation exercise. Towards simulating the damage scenario in a pile element, dis-continuity (impedance mismatch) is induced by varying its cross-sectional area along its length. Both experimental and computational investigations are performed under pulse-echo and pitch-catch configuration methods. Analytical and experimental results are in good agreement. © 2017 Techno-Press, Ltd.

More »»

2016

Journal Article

D. Sathyan, Dr. Anand K. B., and Dr. Mini K. M., “Experimental Study on Portland Pozzolana Cement-Superplasticiser Compatibility in Mortar”, International Journal of Earth Sciences and Engineering, vol. 09, no. 02, pp. 539-544, 2016.

2016

Journal Article

K. Praveen, Sathyan, D., and Dr. Mini K. M., “Study on performance of concrete with over-burnt bricks aggregates and micro-silica admixture”, IOP Conference Series: Materials Science and Engineering, vol. 149, p. 012061, 2016.[Abstract]


Concrete is made by mixing cement, sand, aggregates and water in required proportion, where aggregates occupy the major volume. Addition of aggregates in concrete improves properties of concrete. With the natural resources depleting rapidly, limiting the use of natural resources and enhancing the use of waste materials is very important for sustainable development. Over-burnt bricks are a waste material which cannot be used in construction directly because of their irregular shape and dark colour. Use of over-burnt bricks helps to preserve natural aggregate source. The present study focuses on the effects of microsilica at various percentages as a partial cement replacement in concrete with over-burnt bricks as coarse aggregates. The mechanical properties of hardened concrete such as splitting tensile strength, flexural strength and compressive strength are studied and analyzed. More »»

2016

Journal Article

K. N Krishna, Sandeep, S., and Dr. Mini K. M., “Study on concrete with partial replacement of cement by rice husk ash”, IOP Conference Series: Materials Science and Engineering, vol. 149, p. 012109, 2016.[Abstract]


Increase in the demand of conventional construction materials and the need for providing a sustainable growth in the construction field has prompted the designers and developers to opt for ‘alternative materials’ feasible for use in construction. For this objective, the use of industrial waste products and agricultural byproducts are very constructive. These industrial wastes and agricultural by products such as Fly Ash, Rice Husk Ash, Silica Fume, and Slag can be replaced instead of cement because of their pozzolanic behavior, which otherwise requires large tract of lands for dumping. In the present investigation, Rice Husk Ash has been used as an admixture to cement in concrete and its properties has been studied. An attempt was also done to examine the strength and workability parameters of concrete. For normal concrete, mix design is done based on Indian Standard (IS) method and taking this as reference, mix design has been made for replacement of Rice Husk Ash. Four different replacement levels namely 5%, 10%, 15% and 20% are selected and studied with respect to the replacement method. More »»

2015

Journal Article

B. L. P. Dheeraj Swamy, Raghavan, V., Srinivas, K., K Rao, N., Lakshmanan, M., and Dr. Mini K. M., “Study on Silica Based Carbon Nano Tube Cement Composites’ International Journal of Earth Sciences and Engineering”, International Journal of Earth Sciences and Engineering, 2015.

2014

Journal Article

Dr. Mini K. M., Alapatt, R. John, David, A. Elizabeth, Radhakrishnan, A., Cyriac, M. Maria, and Ramakrishnan, R., “Experimental study on strengthening of R.C beam using glass fibre reinforced composite”, Structural Engineering and Mechanics, vol. 50, pp. 275-286, 2014.[Abstract]


This paper reports the influence of number of layers and length of GFRP sheets wrapped onto RCC beams for strengthening. Twelve beams of size  were cast and tested. Two beams without GFRP and ten beams wrapped in different lay-up patterns with one and two layers of GFRP sheets was subjected to three point loading test and ultrasonic pulse velocity test. Initial crack load, ultimate failure load and types of failure have been observed and noted. Experimental results indicate a significant increase in initial and ultimate load carrying capacity of GFRP wrapped beams compared to unwrapped beams. The failed control specimen was retrofitted using U wrap scheme and tested under three point loading. More »»

2012

Journal Article

Dr. Mini K. M., Lakshmanan, M., Mathew, L., and Mukundan, M., “Effect of fibre volume fraction on fatigue behaviour of glass fibre reinforced composite”, Fatigue & Fracture of Engineering Materials & Structures, Wiley Publishing Ltd., vol. 35, no. 12, pp. 1160–1166, 2012.

2012

Journal Article

Dr. Mini K. M., Lakshmanan, M., Mathew, L., and Kaimal, G., “Effect of volume fraction on stability analysis of glass fibre reinforced composite plate”, Steel & Composite structures , vol. 12, no. 2, pp. 117-127, 2012.[Abstract]


This paper deals with an experimental investigation to study the effect of fibre content on the stability of composite plates with various aspect ratios. Epoxy based glass fibre reinforced composite plates with aspect ratio varying from 0.4 to 1 and with volume fractions of 0.36, 0.4, 0.46, 0.49 and 0.55 are used for the investigation. From the study it is observed that for plate with aspect ratio of 0.5 and 0.4 there is no buckling and the plate got crushed at the middle. As the volume fraction increases the buckling load also increases to a limit and then began to reduce with further increase in fibre content. The optimum range of fibre content for maximum stability is found between 0.49 and 0.55. Polynomial expressions are developed for the study of buckling behaviour of composite plates with different volume fractions in terms of load and aspect ratio. More »»

2012

Journal Article

Dr. Mini K. M. and Manne, S., “Neural network paradigms for fatigue strength prediction of fiber-reinforced composite materials”, International journal of Advanced Structural Engineering, 2012.[Abstract]


The paper presents artificial neural network models to evaluate the fatigue life of unidirectional glass fiber-reinforced epoxy-based composites under tension-tension and tension-compression loading. The fatigue behavior of the composite materials was analyzed using three parameters: fiber orientation angle, stress ratio, and maximum stress. These parameters formed the input vectors, and the number of cycles corresponding to the failure was taken as the output parameter for the assessment of the fatigue life. The architecture of the network was selected based on a detailed parametric study and it was trained and tested with data generated analytically using finite element analysis. The predicted results of the neural network model were compared with the available experimental values and were found to be in good agreement. Three different networks such as feedforward, recurrent, and radial basis function networks were used in the present investigation, and a comparative study was carried out to get the optimum network. The significance of the present work is that the same network could be used for assessing the fatigue strength of unidirectional glass/epoxy composite specimens with different fiber orientation angles tested under different stress ratios. More »»

2010

Journal Article

Dr. Mini K. M. and Subramanian, K., “Analysis of Infilled Frames –A Study Using Artificial Neural Network”, International Journal of Design Engineering, vol. 3, no. 1, pp. 77-96, 2010.[Abstract]


A neural network model to determine the failure load and drift of infilled frames under lateral loading is developed in the present paper. The backpropagation neural network is used to evaluate the failure criteria on the infilled frames using the analytically generated data. Training of the network is done by considering the aspect ratio, number of bays, area of column, area of beam, grade of concrete, grade of steel used for the construction and a non-dimensional parameter λh as the input parameters. To validate the efficacy of the model, an experimental investigation was carried out and the results are compared with that obtained using the ANN model. The experimentation is carried out under the same conditions used for the generation of the analytical data. The agreement was found to be good. More »»

2010

Journal Article

Dr. Mini K. M., .G.Kaimal, M., and N Pillai, N., “Study of Plunging Hollow-jet Aerators using Non-dimensional Parameters”, Institution of Engineers (India)- EN, vol. 91, no. 1, pp. 20-26, 2010.[Abstract]


Plunging hollow jet aerators consist of a cone, which deflects water at the end of a discharging pipe through the annular opening forming a hollow jt on the water surface, thus creating high turbulence and entaring large quantities of air. The effciency E of the device was high ( .5 kg./kWh) for the small opening between the pipe and the cone. The significance of the present work is that, the results are expressed by a graph between the non-dimensional variables. the gap between the cone and the pipe; K L A, the overall transfer factor and Q is the discharge. In addition, the non-dimensuional quantity 'E s' involiving efficiency could be expressed as a function of F 1. the graphs allow the extension of results to a wide range of sizes. More »»

2010

Journal Article

Dr. Mini K. M. and Pillai, N. N., “Study of Venturi Aerator using Non-dimensional Parameters”, International Journal of Environmental Science and Engineering Research, vol. 1, no. 1, pp. 15-22, 2010.[Abstract]


Among the various types of aerators used for wastewater treatment, venturi aerators have some advantages of simplicity of operation, being free of aerosols and thorough mixing of the tank contents. Air gets aspired through holes at the throat and high oxygen transfer occurs due to intense turbulence in the expansion region. In the present work, tests on a venturi aerator placed above water are conducted and the performance is studied in terms of non-dimensional parameters so that a scale up is possible. KLA the overall oxygen transfer factor, Q the discharge, the oxygen transfer efficiency are expressed as (Kl A)/Q (Re) and E Hc (Re) where Hc is a length parameter and Re is a characteristic Reynolds’s number. The venturi required only a pumping device as mechanical unit and it is very suitable for small waste treatment plants. An example is given here to show how a scale up is possible. More »»

2007

Journal Article

Dr. Mini K. M. and Subramanian, K., “Neural Network Model for the Analysis of Infilled Framed Structures”, Archives of Civil Engineering, vol. 53, pp. 639-662, 2007.[Abstract]


The analysis of infilled frames is complex due to the non-linearity involved as well as the large number of variables. Artificial Neural Network (ANN) has been found to be a tool that can accommodate the large number of variables and the nonlinear behaviour of the system. The ANN model was trained using the data available on failure load for the infilled frame under various conditions, generated analytically using equivalent strut method. The so trained model was tested for different set of input and output data obtained analytically as well as experimentally [10]. The agreement between the predicted and the actual results are found to be good. The results show that if the data for training is sufficient, the performance of the network will be satisfactory. The neural network approach is versatile since the size and scope of the input and output vectors can be increased to a large extent to meet the complexities. More »»

2006

Journal Article

Dr. Mini K. M., “Discussion on “Exact Solutions for Sequent Depths Problem”, Journal of Irrigation and Drainage Engineering,ASCE, vol. 132, no. 3, p. 303, 2006.

2005

Journal Article

K. Subramanian, Dr. Mini K. M., and S. Florence, J. Kelvina, “Neural Network Based Modeling of Infilled Steel Frames”, International Journal of Structural Engineering and Mechanics, vol. 21, no. 5, pp. 495-506, 2005.[Abstract]


A neural network based model is developed for the structural analysis of masonry infilled steel frames, which can account for the non-linearities in the material properties and structural behaviour. Using the data available from the analytical methods, an ANN model with input parameters consisting of dimension of frame, size of infill, properties of steel and infill was developed. It was found to be acceptable in predicting the failure modes of infilled frames and corresponding failure load subject to limitations in the training data and the predicted results are tested using the available experimental results. The study shows the importance of validating the ANN models in simulating structural behaviour especially when the data are limited. The ANN model was also compared with the available experimental results and was found to perform well. More »»

2005

Journal Article

L. B, Dr. Mini K. M., and S, P. N., “California Bearing Ratio Behaviour of Soil Stabilized Class F Fly Ash Systems”, Journal of Testing and Evaluation, ASTM, vol. 33, pp. 406-410, 2005.[Abstract]


Fly ash is a finely divided mineral residue resulting from the combustion of coal in power plants that occupies large extents of land and also causes environmental problems. Hence, concerted attempts are being made to effectively use fly ash in an environmentally friendly way instead of dumping. Several studies have been carried out for its bulk utilization, such as its addition to improve the California bearing ratio (CBR) of soil in roads and embankments. But a thorough mixing of fly ash with soil may not be possible in the field. Hence a study has been carried out on the CBR behavior of black cotton soil and Raichur fly ash (which is class F) in layers and compared with the same in mixes. The results show that the CBR values of soil-fly ash mixes are better than layers, as expected. To improve the strength of layers, cement is used as an additive to fly ash. The results show that black cotton soil can be improved with stabilized fly ash, solving its strength problem as well as the disposal problem of fly ash. More »»

Publication Type: Conference Paper

Year of Publication Publication Type Title

2014

Conference Paper

Dr. Mini K. M., Swamy, B. P. L. Dheeraj, Srinivas, K., K Rao, N., and , “Study on CNT based cement composites”, in Paper SE01, Int.national conference on Innovations and Advances in Civil Engineering Towards Green and Sustainable Systems (INACES-2014), Coimbatore Institute of Technology,Coimbatore, 2014.

2009

Conference Paper

S. Manne, Mathew, L., and Dr. Mini K. M., “Neural Network Model for the Fatigue Analysis of Fibre Reinforced Composite”, in International Conference on “Operations Research applications in Engineering and Management (ICOREM), ANNA University, Tiruchirappali, 2009.

2006

Conference Paper

Dr. Mini K. M. and Subramanian, K., “Analysis of Reinforced Concrete Framed Structures Using Artificial Neural Networks”, in International Confce “Resource Utilisation and Intelligent Systems 174-177, Erode, 2006.

2005

Conference Paper

Dr. Mini K. M. and K, S., “Study of Infilled Framed Structures Using Artificial Neural Networks”, in 5th International Confce AMCM ,Paper No.2/15., Gliwice, Poland, 2005.

2005

Conference Paper

P. N. S and Dr. Mini K. M., “Institute Determination of Rock Properties for a Steel Plant”, in Case Studies in Geotechnical Engineering, 272-277, 2005.

2005

Conference Paper

Dr. Mini K. M. and S, P. N., “Assessment of compaction behaviour of soils using artificial neural networks”, in Indian Geotechnical Conference Vol.1, Ahmedabad, 2005.

2004

Conference Paper

J. Kelvina Fl S, K., S., and Dr. Mini K. M., “Analysis of Infilled Frames Using Artificial Neural Network”, in National Confce “Recent Advances in Civil Engineering”, Cochin., 2004.

2003

Conference Paper

Dr. Mini K. M. and K., S., “Analysis of Frames Using Artificial Neural Network”, in International Confce “Digital Analysis and Modeling of Systems”, Coimbatore., 2003.

2002

Conference Paper

Dr. Mini K. M. and K., S., “Optimal Design of RCC Infilled Frames Using Artificial Neural Network”, in National Confce “Futuristic of concrete technology and optimal design of R.C.C Structures” 193-196, Coimbatore, 2002.

PARTICIPATION

  • National Workshop on “Computing Technologies for Power Systems” organized by Amrita School of Engineering, Ettimadai, from December 13-17, 2010.
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