Special Session

on

Soft Computing Tools in Civil Engineering

 

@

 

First Indian International Conference on Artificial Intelligence

IICAI-03

 

December 18-20, 2003

Hyderabad, India

 

 

The world of soft computing provides powerful tools for civil engineers to carry out various numerical simulation studies. Some of them are knowledge driven methods, such as Fuzzy Logic and Probabilistic Reasoning approaches. Others are data driven methods, like Artificial Neural Networks and Evolutionary Computing approaches. These methods independently, and in hybrid forms, have been successfully applied in the following various fields of civil engineering.

 

         Structural Engineering - Structural analysis, design, diagnostics and control problems, Structural health monitoring, Structural material behavior modeling etc.

         Water resources engineering - Flood forecasting, Flood routing model, Hydrology etc.

         Environmental engineering - Air quality prediction, Water quality prediction model etc.

         Geo-technical engineering- Liquefaction potential assessment, piles design, etc.

         Transportation engineering - Bridge management systems, Pavement management systems, Pavement behavior models etc.

         Geographic Information Systems (GIS), Global Positioning Systems, Remote Sensing etc.

         Construction Automation- Automated inspection, Risk analysis and decision making, Supply chain management, Construction process reengineering, Procurement management, Environment management, and Safety management etc.

 

Selected Papers For Oral Presentation

 

SCTICE/101

Calibration of Infiltration Parameters using Artificial Neural Networks

 

Ashu Jain1 and Amit Kumar2

 

1Assistant Professor, Department of Civil Engineering, Indian Institute of Technology Kanpur 208 016; (0512) 259 7411(O)/7395(Fax); ashujain@iitk.ac.in

2Ex-Post Graduate Student; Department of Civil Engineering, Indian Institute of Technology Kanpur 208 016; amits_kr@yahoo.com

 

SCTICE/104

Fuzzy Multicriterion Decision Making in Water Resources Planning

 

K. Srinivasa Raju1, D. Nagesh Kumar2

 

1 Civil Engineering Department, Birla Institute of Technology and Science, Pilani 333 031

Rajasthan, India
ksraju@bits-pilani.ac.in

2 Civil Engineering Department, Indian Institute of Science, Bangalore 560 012

Karnataka, India
nagesh@civil.iisc.ernet.in

http://civil.iisc.ernet.in/~nagesh

 

SCTICE/107

Theoretical aspects of artificial neural network based vehicular exhaust emission modeling

 

S.M. Shiva Nagendra and Mukesh Khare*

 

*Associate Professor, Department of Civil Engineering,

Indian Institute of Technology Delhi, Hauz Khas,

New Delhi 11 00 016, India

Email: mukeshk@civil.iitd.ernet.in

 

SCTICE/108

Hybrid Learning Model for Liquefaction Potential Assessment

 

S V Barai 1, and Gaurav Agarawal 2

 

1 Assistant Professor, Department of Civil Engineering, Indian Institute of Technology Kharagpur 721 302, India

skbarai@civil.iitkgp.ernet.in
http://barai.sudhir.tripod.com

2 IBM Global Services India, "Prestige Towers",  3rd Floor, 'A' Wing #38A,
No.99, Residency Road, Bangalore-560025, India

gaagarwa@in.ibm.com

SCTICE/109

ANN Application in End Depth Computation for Inverted Semicircular Channels

 

Raikar R V

 

Doctoral Research Fellow

Dept. of Civil Engineering, Indian Institute of Technology, Kharagpur 721302, West Bengal, India

Tel: +91 3222 283418; Fax: +91 3222 282254;

E-mail: raikar@civil.iitkgp.ernet.in

 

SCTICE/112

Accident Rate Prediction on Rural Highways Using Artificial Neural Networks

 

Ramachandra Rao Kalaga1, Venkata Narasimham Kannekanti2

 

1 Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas,

New Delhi 110 016, India
rrkalaga@civil.iitd.ernet.in

2 Department of Civil and Environmental Engineering, University of California Davis,

California 95616, USA
kannekanti@ucdavis.edu

 

SCTICE/113

Comparative Analysis of Back-Propagation and Real-Coded GA for Training of ANN Rainfall-Runoff Models

 

Sanaga Srinivasulu1and Ashu Jain2

 

1PhD Student, Department of Civil Engineering, IIT Kanpur, India; sanaga@iitk.ac.in

2Assistant Professor, Department of Civil Engineering, IIT Kanpur, India; ashujain@iitk.ac.in

 

SCTICE/115

 

Neural Network-Based Estimation Of Stress Concentration Factors For Steel Multiplanar Tubular XX-Joints

 

Lalit Kapur1, Ashok Gupta2 and S. P. Chiew3

 

1 Chief Engineer, Ministry of Railways, Govt. of India.

2 Professor, Department of Civil Engineering, IIT Delhi.

3 Associate Professor, School of Civil and Environmental Engineering, NTU Singapore.

Email: ashokg@civil.iitd.ernet.in

 

SCTICE/116

 

Booster Disinfection Facility Location using Multi-Objective Genetic Algorithms

 

T. Devi Prasad*, Godfrey A. Walters, and Dragan A. Savic

 

School of Engineering, University of Exeter, Exeter EX4 4QF, UK.

E-Mail: D.P.Tumula@ex.ac.uk

 

 

Sudhirkumar Barai PhD

Session Chair

Department of Civil Engineering

Indian Institute of Technology Kharagpur

Kharagpur 721 302 India

 

Email: skbarai@civil.iitkgp.ernet.in

softcomputing@mailcity.com

 

| BISC Program Soft Computing | Discussion Forum on Soft Computing |

| World Federation on Soft Computing |

 

 

http://softcomputing.tripod.com