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Rao, A. Rama Mohan,Anandakumar, Ganesh Techno-Press 2008 Smart Structures and Systems, An International Jou Vol.4 No.4
Proper pretest planning is a vital component of any successful vibration test on engineering structures. The most important issue in dynamic testing of many engineering structures is arriving at the number and optimal placement of sensors. The sensors must be placed on the structure in such a way that all the important dynamic behaviour of a structural system is captured during the course of the test with sufficient accuracy so that the information can be effectively utilised for structural parameter identification or health monitoring. Several optimal sensor placement (OSP) techniques are proposed in the literature and each of these methods have been evaluated with respect to a specific problem encountered in various engineering disciplines like aerospace, civil, mechanical engineering, etc. In the present work, we propose to perform a detailed characteristic evaluation of some selective popular OSP techniques with respect to their application to practical civil engineering problems. Numerical experiments carried out in the paper on various practical civil engineering structures indicate that effective independence (EFI) method is more consistent when compared to all other sensor placement techniques.
Structural parameter estimation combining domain decomposition techniques with immune algorithm
Rao, A. Rama Mohan,Lakshmi, K. Techno-Press 2011 Smart Structures and Systems, An International Jou Vol.8 No.4
Structural system identification (SSI) is an inverse problem of difficult solution. Currently, difficulties lie in the development of algorithms which can cater to large size problems. In this paper, a parameter estimation technique based on evolutionary strategy is presented to overcome some of the difficulties encountered in using the traditional system identification methods in terms of convergence. In this paper, a non-traditional form of system identification technique employing evolutionary algorithms is proposed. In order to improve the convergence characteristics, it is proposed to employ immune algorithms which are proved to be built with superior diversification mechanism than the conventional evolutionary algorithms and are being used for several practical complex optimisation problems. In order to reduce the number of design variables, domain decomposition methods are used, where the identification process of the entire structure is carried out in multiple stages rather than in single step. The domain decomposition based methods also help in limiting the number of sensors to be employed during dynamic testing of the structure to be identified, as the process of system identification is carried out in multiple stages. A fifteen storey framed structure, truss bridge and 40 m tall microwave tower are considered as a numerical examples to demonstrate the effectiveness of the domain decomposition based structural system identification technique using immune algorithm.
Mohan Rao Mamdikar,Vinay Kumar,Pooja Singh 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.4
The Emergency Diesel Generator (EDG) is a critical and essential part of the Nuclear Power Plant (NPP). Due to past catastrophic disasters, critical systems of NPP like EDG are designed to meet high dependability requirements. Therefore, we propose a framework for the dynamic reliability assessment usingthe Fault Tree and the Dynamic Bayesian Network. In this framework, the information of the component's failure probability is updated based on observed data. The framework is powerful to performqualitative as well as quantitative analysis of the system. The validity of the framework is done byapplying it on several NPP systems.
Microwave Assisted One-pot Synthesis of Novel α-Aminophosphonates and heir Biological Activity
Rao, Alahari Janardhan,Rao, Pasupuleti Visweswara,Rao, Valsani Koteswara,Mohan, Challamchalla,Raju, Chamarthi Naga,Reddy, Cirandur Suresh Korean Chemical Society 2010 Bulletin of the Korean Chemical Society Vol.31 No.7
A simple and efficient synthesis of various $\alpha$-aminophosphonates (3a-l) by the reaction of substituted aromatic/heterocyclic aldehydes, 2-amino-6-methoxy-benzothiazole and dibutyl/diphenyl phosphites under microwave irradiation without catalyst was accomplished. The phosphonates were characterized by elemental analysis, IR, $^1H$, $^{13}C$- and $^{31}PNMR$ spectra. They showed promising antimicrobial, anti-oxidant activities depending on the nature of bioactive groups at the $\alpha$-carbon.
Rama Mohan Rao, A.,Arvind, N. Techno-Press 2007 Structural Engineering and Mechanics, An Int'l Jou Vol.25 No.2
This paper deals with optimal stacking sequence design of laminate composite structures. The stacking sequence optimisation of laminate composites is formulated as a combinatorial problem and is solved using Simulated Annealing (SA), an algorithm devised based on inspiration of physical process of annealing of solids. The combinatorial constraints are handled using a correction strategy. The SA algorithm is strengthened by embedding Tabu search in order to prevent recycling of recently visited solutions and the resulting algorithm is referred to as tabu embedded simulated Annealing (TSA) algorithm. Computational performance of the proposed TSA algorithm is enhanced through cache-fetch implementation. Numerical experiments have been conducted by considering rectangular composite panels and composite cylindrical shell with different ply numbers and orientations. Numerical studies indicate that the TSA algorithm is quite effective in providing practical designs for lay-up sequence optimisation of laminate composites. The effect of various neighbourhood search algorithms on the convergence characteristics of TSA algorithm is investigated. The sensitiveness of the proposed optimisation algorithm for various parameter settings in simulated annealing is explored through parametric studies. Later, the TSA algorithm is employed for multi-criteria optimisation of hybrid composite cylinders for simultaneously optimising cost as well as weight with constraint on buckling load. The two objectives are initially considered individually and later collectively to solve as a multi-criteria optimisation problem. Finally, the computational efficiency of the TSA based stacking sequence optimisation algorithm has been compared with the genetic algorithm and found to be superior in performance.
Arjuna Rao Palakollu Venkata,Panda Kusuma Kumari,Tavva Surya Santosh Mohan Dev,Muktinutalapati Venkata Subba Rao,Vangury Manga 한국작물학회 2012 Journal of crop science and biotechnology Vol.15 No.3
Genetic analysis of sodium and sodium/potassium (Na/K) ratios in leaf and stem was carried out through diallel analysis involving two tolerant, one moderately tolerant, and two sensitive genotypes as parents. Three-week-old seedlings were subjected to a critical level of salinization (17 decisiemens per meter of electrical conductivity). Leaf and stem sampling (from 5 parents and 20 hybrids arranged in a randomized block design with three replications of 10 each) was done 30 days after salinization when susceptible parents were severely effected. Predominance of non-additive gene action for stem sodium and dominance component for leaf Na/K were noticed while both additive and non-additive components played a significant role for stem Na/K. A single group of genes seems to be operative for these characters. Hybrids produced by crossing the two sensitive parents were tolerant suggesting genetic complementation and involvement of different loci in the two parents for salinity tolerance. The overall dominant nature of tolerance and the additive gene action for these salinity related characters suggested the possibility of breeding pearl millet lines through hybridization and selection to pyramid the favorable genes.
Rama Mohan Rao, A.,Appa Rao, T.V.S.R.,Dattaguru, B. Techno-Press 2002 Structural Engineering and Mechanics, An Int'l Jou Vol.14 No.6
Parallel execution of computational mechanics codes requires efficient mesh-partitioning techniques. These mesh-partitioning techniques divide the mesh into specified number of submeshes of approximately the same size and at the same time, minimise the interface nodes of the submeshes. This paper describes a new mesh partitioning technique, employing Genetic Algorithms. The proposed algorithm operates on the deduced graph (dual or nodal graph) of the given finite element mesh rather than directly on the mesh itself. The algorithm works by first constructing a coarse graph approximation using an automatic graph coarsening method. The coarse graph is partitioned and the results are interpolated onto the original graph to initialise an optimisation of the graph partition problem. In practice, hierarchy of (usually more than two) graphs are used to obtain the final graph partition. The proposed partitioning algorithm is applied to graphs derived from unstructured finite element meshes describing practical engineering problems and also several example graphs related to finite element meshes given in the literature. The test results indicate that the proposed GA based graph partitioning algorithm generates high quality partitions and are superior to spectral and multilevel graph partitioning algorithms.
Narasinga Rao Palepu,Werner Kaminsky,Mohan Rao Kollipara 대한화학회 2017 Bulletin of the Korean Chemical Society Vol.38 No.1
A series of Cp*Rh and Cp*Ir complexes of picolinic hydrazine ligand are synthesized and characterized. Picolinic hydrazine has yielded only dinuclear complexes in the case of rhodium metal whereas both mono and dinuclear complexes with iridium metal. Iridium complexes are formed as quaternary salts by the migration of the N–H proton onto the adjacent amine group of the hydrazine after binding to the metal. Picolinic hydrazine acts as nitrogen and oxygen donor ligand in the form of bi and tetradentate bonding modes.