Edited by: B.H.V. Topping and B. Kumar
click on a paper title to read the abstract or purchase the full-text paper (price £20)
Preliminaries |
I | COMPUTER AIDED DESIGN IN CIVIL AND STRUCTURAL ENGINEERING |
1 |
The Integration of Computer Aided Design and Analysis Tools using a Logic-Based Approach
D. Jonson, J. de Beer and N. Daya |
2 |
An Integrated Tool for Structural Design within an Interactive Virtual Environment
R.A. Smith, W.M.K. Tizani and D.A. Nethercot |
3 |
Search-Control Knowledge for the Interoperability Problem between Conceptual and Preliminary Structural Design
M. Eisfeld and R.J. Scherer |
4 |
A Cognitive Complexity Measure for the Design Process
S. Sinha, A.I. Thomson and B. Kumar |
II | ARTIFICIAL INTELLIGENCE APPROACHES TO CONSTRUCTION ENGINEERING |
5 |
A Framework for Analogy Based Estimation in Building Services
K. Rintala, B. Kumar and I. MacLeod |
6 |
Using Fuzzy Set Theory (FST) in Selecting a Suitable Foundation Type
H.K. Amin, K.M. El Zahaby, M.A. Taha and A.S. Bazaraa |
7 |
Implementation of a Web-Based Collaborative Decision-Making System using Fuzzy Logic
H.M. Yang, C.J. Anumba and P.M. Carrillo |
8 |
Viewing Construction Scheduling as a Constraint Satisfaction Problem
P. Lorterapong and T. Rattanadamrongagsorn |
9 |
A Multidisciplinary Collaborative Design System for Civil Engineering Projects
M. Sun, G. Aouad and N. Bakis |
III | KNOWLEDGE BASED SYSTEMS IN CIVIL AND STRUCTURAL ENGINEERING |
10 |
An Expert System for Foundation Design of Buildings: Case Demonstration of a GCPM-Integrated Prototype System
J.F. van den Adel, S.H. Al-Jibouri, U.F.A. Karim and M. Mawdesley |
11 |
Concrete Bridge Rating Expert System with Neuro-Fuzzy Hybrid System and its Application
K. Kawamura and A. Miyamoto |
12 |
Knowledge-Based System Associated with Foundations in Expansive Soils
M.E.M. Hamadto and J. Oliphant |
IV | NEURAL NETWORKS IN STRUCTURAL ENGINEERING |
13 |
SCNN Solver for Finite Element Analysis with Neural Network Elements
S. Li |
14 |
A Unified Neural Network Approach for Steel Beams Patch Load Capacity
E.T. Fonseca, M.M.B.R. Vellasco, S.A.L. de Andrade and P.C.G. da S. Vellasco |
15 |
Diagnosis of Damage in RC Structures Based on Structural Static Response with the ANN Technique
C.H. Tsai and D.S. Hsu |
16 |
Structural Health Monitoring of Offshore Structures
S.A. Mourad, A.W. Sadek and A.F. Batisha |
17 |
Neural Identification for Critical Flutter Load of a Polar-Orthotropic Annular Plate
I. Takahashi |
18 |
Using Neural Networks to Design Cold-Formed Steel Sections
R.I. Mackie, E.M.A. El-Kassas and A.I. El-Sheikh |
19 |
ANN Modelling of the Dynamic Non-linear Behaviour of Concrete Towers subjected to Base Excitation
M. Tehranizadeh and M. Safi |
20 |
Neural Networks Forecasting of Endplate Steel Connections Capacity
L.R.O. de Lima, P.C.G. da S. Vellasco, S.A.L. de Andrade and M.M.B.R. Vellasco |
V | NEURAL NETWORKS IN CIVIL ENGINEERING |
21 |
Preliminary Quantity Estimate of Highway Bridges using Neural Networks
G. Morcous, M.M. Bakhoum, M.A. Taha and M. El-Said |
22 |
Prediction of Workability of Concrete incorporating Metakaolin and PFA using Neural Networks
J. Bai, S. Wild, A. Ware and B.B. Sabir |
23 |
Basic Study for Local Short-Range Weather Forecast System with GPS
S. Tanaka, H. Furuta, M. Hirokane, T. Takada, T. Sada and K. Uchino |
24 |
Application of Artificial Neural Networks to Tidal Forecasting
D.S. Jeng, T.L. Lee and K.J. Hsu |
25 |
Pollution Modelling for Hong Kong Downtown Area Using Principal Component Analysis and Artificial Neural Networks
W.Z. Lu, H.Y. Fan, A.Y.T. Leung, W.J. Wang, S.M. Lo and J.C.K. Wong |
26 |
Developments in the Use of Neural Nets for Truck Weigh-in-Motion on Steel Bridges
I. Flood, R.R.A. Issa and N. Kartam |
27 |
A Neural Network to Estimate Concrete Strength Based on Non-Destructive Test Results
S.A. Mourad, A.W. Sadek and A.A. El-Fayoumy |
28 |
Development of a Neural Network to Predict Residential Energy Consumption
R.R.A. Issa, I. Flood and M. Asmus |
29 |
Stochastic and Neural Techniques for On-line Wave Prediction
J.D. Agrawal and M.C. Deo |
VI | NEURAL NETWORKS IN GEOTECHNICAL ENGINEERING |
30 |
Using BPNNs in selecting a Suitable Type of Foundation
H.K. Amin, K.M. El Zahaby, M.A. Taha and A.S. Bazaraa |
31 |
Determining the Importance of Factors affecting a Ground-Foundation System using Artificial Neural Network and Systems Methodologies
P. Lu and M. Rosenbaum |
32 |
Interpretation of Dynamic Pile Load Tests Using Neural Networks
A.S. Dyminski, C. Romanel and E. Parente Ribeiro |
33 |
Prediction of Collapse Potential via Artificial Neural Networks
G. Habibagahi and M. Taherian |
34 |
Non-destructive Testing of Ground Anchorages Using the GRANIT® Technique
A. Starkey, A. Ivanovic, R.D. Neilson and A.A. Rodger |
35 |
Analysis of Bearing Features of Rock-Socketed Piles Using Neural Networks
Y. Huang, W.M. Ye and Y.Q. Tang |
VII | EVOLUTIONARY COMPUTING IN CIVIL AND STRUCTURAL ENGINEERING |
36 |
Genetic Algorithm Trained Counter-Propagation Neural Net in Structural Optimization
A. Iranmanesh and M. Fahimi |
37 |
A Competitive Comparison of Different Types of Evolutionary Algorithms
O. Hrstka, A. Kucerová, M. Leps and J. Zeman |
38 |
Genetic Algorithms in a Competitive Environment with Application to Reliability Optimal Design
C. Dimou and V. Koumousis |