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Introduction To Systems

Gupta, Rajiv; Nagrath, I.J. (New Age International (P) Ltd, 2008)

Gupta, Rajiv; Moondra, H.S. (CBS, 2019)

Gupta, Rajiv (CBS, 2014)

Automation in Site Management: A Qualitative Approach

Barai, Sudhir Kumar (IAARC, 2007)

This paper will address a new approach to construction management: Qualitative Construction Site Assessment System (QCSAS). QCSAS is essentially a site management software package. The objective of this system is three ...

Abonyi, Janos 43 Alchanatis, Victor 159 Avineri, Erel 221 Ballerini, Lucia 149

Barai, Sudhir Kumar (Springer, 2009)

Contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007

Neural Networks for Damage Detection in Steel Railway Bridges

Barai, Sudhir Kumar (IABSE, 1995)

The paper presents Artificial Neural Networks developed for typical steel railway bridges for the purpose of damage detection. Multilayer perceptrons have been used for generating the architecture for the bridges of ...

Air Quality Prediction: An Opportunistic Neuro-Ensemble Approach

Barai, Sudhir Kumar (Sage, 2003)

The present article discusses the development of neural-network-based air quality prediction models which can work with a limited number of data sets and are robust enough to handle data with noise. Five different variations ...

Sustainable concrete mix — Design: Evolutionary algorithm approach

Barai, Sudhir Kumar (IEEE, 2014)

Concrete mix design is one of the most challenging and versatile fields in civil engineering. There are many existing methods for concrete mix design. The most commonly used technique in India is as provided by the Bureau ...

Shear Strengthening of T-beam with GFRP

Barai, Sudhir Kumar (Springer, 2018)

Presents the state of the art in the domain of strengthening reinforced concrete (RC) structures . Provides systematic step-by-step evaluation, from experimental investigations to numerical study Serves as a practical ...

Earthquake Engineering Problems in Parallel Neuro Environment

Barai, Sudhir Kumar (Springer, 2019)

The aim of the paper is to explore the application of Parallel Neuro Simulator for the generation of artificial earthquake. Parallel Neuro Simulator is a neural network code developed on PARAM 10000 using ‘C’ language and ...

Neural Networks Applications to Structural Identification: An Overview

Barai, Sudhir Kumar (University Presss, 2005)

Recent developments in artificial neural networks (ANN) have opened up new possibilities in the domain of structural engineering. For inverse problems like structural identification of large civil engineering structures ...

Material behaviour modelling using machine learning model

Barai, Sudhir Kumar (Springer, 2006-11)

Material behaviour modelling involves the development &mathematical models based on experimental data, experts' observations and reasoning. Against the rigorous iterative exercise of developing mathematical models, machine ...

Fracture Properties of Concrete Based on the K R Curve Associated with Cohesive Stress Distribution

Barai, Sudhir Kumar (2010-12-31)

While the double-K and double-G fracture models can predict the important stages of fracture processes like crack initiation, stable crack propagation, and unstable fracture, the complete fracture process can be analyzed ...

Comparison of Fracture Parameters of Concrete Using Nonlinear Fracture Models

Barai, Sudhir Kumar (Springer, 2010-12-31)

It is well known that all important nonlinear fracture models can capture adequately the structural size effect over the useful range of applicability. The size-effect study of various fracture parameters obtained from ...

Optimization study of Reinforced Concrete T-beams Strengthened in Shear with side Bonded GFRP Sheet

Barai, Sudhir Kumar (IJESE, 2011)

This paper presents an optimization result of 2500 mm long Reinforced Concrete (RC) T-beams strengthened in shear using epoxy bonded glass fibre fabric. The experimental program consisted of testing of eighteen (18) full ...

STRUCTURAL OPTIMIZATION USING ARTIFICIAL IMMUNE SYSTEM

Barai, Sudhir Kumar (Blucher Mechanical Engineering Proceedings, 2014-05)

In this paper a new evolutionary computational paradigm – Artificial Immune System (AIS) is explored for the optimal design of truss structures. CLONal selection ALGorithm (CLONALG) which is imitated by the basic principle ...

Prediction of Compressive Strength of Concrete Using M5’ Model Tree Algorithm: A Parametric Study

Barai, Sudhir Kumar (Springer, 2018-02-09)

Concrete mix proportions proposed by empirical equations do not account for slight modifications. Mix design becomes primitive in case of introduction of new parameters as research progresses such as accounting for new ...

Theoretical Approach to Shear Strengthening of Beams

Barai, Sudhir Kumar (Springer, 2018-04-28)

The shear strength of RC T-beams with and without GFRP obtained from experimental investigation is compared to the shear strength computed by the guidelines given in different standards such as American Concrete Institute ...

Major Findings from Experiments on Shear Strengthening of Beams

Barai, Sudhir Kumar (Springer, 2018-04-28)

This chapter presents the major findings from experiments on shear strengthening of beams. The experiments have been carried out in different phases as described in the experimental investigation,

Numerical Approach to Shear Strengthening of Beams

Barai, Sudhir Kumar (Springer, 2018-04-28)

Finite element method (FEM) is used to study the behaviour of RC T-beams strengthened in shear with GFRP sheet under two-point loading condition. The finite element analysis is carried out in this study using ANSYS finite ...

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