
Artificial intelligence applications in civil and structural engineering
Résumé
- Structural engeneering : knowledge based
systems
- A knowledge-based system for preliminary tunnel support
design
- Development of a bridge management system for existing
bridges
- A world wide web based crane information system for
structural designers
- A mechanism for decision support in oop appllicatins of
integarted structural
- Development of visualized safety management system for construction works of prestressed concrete bridge
- A knowledge-based system for preliminary tunnel support
design
- Artificial Intelligence based tools in structural
engineering
- Dynamic strain signatures of RC slabs for AI-Based
condition monitoring
- Dynamic strain signatures of RC slabs for AI-Based
condition monitoring
- Knowledge based and decision support systems:
construction engineering
- An approach to a fuzzy-based decision support system
for construction project teams
- The application of expert systems to controlling
workflow within the construction management
environment
- Using artificial intelligence to maximise the benefites
of information in project control
- An approach to a fuzzy-based decision support system
for construction project teams
- Neural networks for stuctural engineering
- Damage diagnosis of exixting reinforced concrete
structures
- Analysis and design of double layer grids using neural
networks
- Estimating the performance of externally reinforced
concrete beams using neural networks
- Damage diagnosis of exixting reinforced concrete
structures
- Neural networks in civil engineering
- Guidelines for designing neural networks for civil
engineering applications
- Neural network models for the design of pile
foundations
- Wave forecasting using neural network model
- Identification for critical speeds of an orthotropic
rectangular plate in a supersonic flow using neural
networks
- Modelling the soil behaviour in uniaxial strain
conditions by neural networks
- Prediction of ultimate shear strength of reinforced concrete deep beams using neural networks
- Guidelines for designing neural networks for civil
engineering applications
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Civil-Comp Press |
Auteur(s) | B.H.V. Topping, Bharat Kumar |
Parution | 15/07/1999 |
Nb. de pages | 157 |
Couverture | Thermocollé |
Poids | 461g |
Intérieur | Noir et Blanc |
EAN13 | 9780948749643 |
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