Showing papers in "Advances in Engineering Software in 2007"

TL;DR: The prototype KMS on flow and water quality is addressed to simulate human expertise during the problem solving by incorporating artificial intelligence and coupling various descriptive knowledge, procedural knowledge and reasoning knowledge involved in the coastal hydraulic and transport processes.

TL;DR: The employed GRNN method, generalized regression neural network, in comparison to both a frequently applied neural network training algorithm, feed-forward back-propagation, and a stochastic model of auto-regressive structure for the purpose of forecasting daily trip flows, which is an essential component in demand analysis.

TL;DR: The model proposed in this work introduces a more accurate factor of propagation from a diagonal neighbor cell and includes the rate of fire spread, which is useful for both homogeneous and inhomogeneous environments.

TL;DR: It is proposed a re-focussing of CIC research on the relatively under-represented area of semantically described and coordinated process oriented systems to better support the kind of short term virtual organisation that typifies the working environment in the construction sector.

TL;DR: Pre-peak response is reasonably well reproduced using the Hardening Soil Model available in PLAXIS, although the characteristic post-peak softening in some physical model tests requires a more sophisticated soil model.

TL;DR: Finite element simulations are carried out on a pipe containing two aligned and equally shaped defects of 80x32mm and various defect spacing, providing a database containing the relation between the failure pressures of pipes with multiple and single defects.

TL;DR: 3D non-linear FEM models developed to predict the mechanical behaviour of timber-concrete joints made with dowel-type-fasteners showed the capacity to simulate the behaviour of the joints if the materials used are properly modelled.

TL;DR: A neural network technique within a Bayesian framework, is presented for the prediction of equilibrium scour depth around a bridge pier and the time variation of scours, and a committee model, developed by averaging the predictions of a number of individual neural network models, increased the reliability and accuracy of the predictions.

TL;DR: An artificial neural network approach is employed to determine implicit limit state functions for reliability evaluations in performance-based design and to optimally evaluate a set of design variables under specified performance criteria and corresponding desired reliability levels in design.

TL;DR: This work proposes a novel matchmaking algorithm to effectively compute the semantic distance of concepts in an ontology based on description logic formalization and reasoning, and extends simple subsumption matching found in other approaches and allows match ranking.

TL;DR: The paper compares the Grid version with related work in the field and outlines the conclusions and future work on the implementation of an association rules discovery data mining task using Grid technologies.

TL;DR: The Wiener filter is a solution to the restoration problem based upon the hypothesized use of a linear filter and the minimum mean-square error criterion to achieve an SNR=30dB.

TL;DR: An integrated approach using artificial neural networks (ANN) and genetic algorithms (GA) for cost optimization of bridge deck configurations and guarantees bridge engineers to arrive at the near-optimal solution that could not be easily obtained using general modeling programs or by trial-and-error.

TL;DR: A cooperative particle swarm optimization model with cooperative multi-population combined with the dynamic niche sharing technique on the basis of traditional PSO algorithm is proposed.

TL;DR: It could be concluded that for a given roller compacted concrete dam, changing the placing schedule can optimize the locations of maximum temperature zones.

TL;DR: A method for solving fuzzy multiobjective optimization of space truss with a genetic algorithm that enables a flexible method for optimal system design by applying fuzzy objectives and fuzzy constraints is proposed.

TL;DR: This paper aims to investigate the parallel performance of commercial CFD software on homogeneous computer networks, as common solutions encountered in the industry today, as well as the efficiency improvements obtained in earlier experiments by modifying the shape of the draft tube to deduce if the improvements can be captured with aid of CFD.

TL;DR: While the proposed ADEESS solution technique uses an unconditional stable Saulyev scheme, it gives highly accurate results even for the values of the Courant numbers as high as 2–3, and only uses copy & paste property of spreadsheets.

TL;DR: Results from numerical simulations demonstrate that isolation system deformation as well as superstructure responses can be effectively reduced using the proposed supervisory fuzzy control technique in comparison with a sample clipped optimal controller.

TL;DR: The combustion of a porous solid is considered, where the energy conservation equation is applied, and the influence of moisture content and eventually heat absorbtion by pyrolysis can be represented as two free boundaries, and are treated here using a multivalued operator representing the enthalpy.

TL;DR: This paper presents the formulation and illustrates the application of a non-linear Generalised Beam Theory (GBT), which makes it possible to calculate bifurcation load factors of thin-walled members made of non- linear elastic-plastic materials and subjected to general loading conditions.

TL;DR: The paper presents a preliminary design methodology within the performance based design framework and details for the realization of the intervention based on low yield metallic shear panels for seismic retrofitting of existing concrete structures.

TL;DR: A global vision of the most popular web engineering approach is given, showing how navigation is treated in 15 web proposals, which are the most referenced ones, and it analyses the available techniques, models and the possible gaps in the treatment.

TL;DR: A new strain-based finite element model is presented which considers issues in a highly effective manner of buckling force of axially compressed layered wood columns and is found to be accurate, reliable and computationally time-effective.

TL;DR: A fully automated method of structural optimisation for the body in white structure is presented using Genetic Algorithms, which are ideally suited to solve problems with solution spaces that are too large to be exhaustively searched.

TL;DR: A 3-D model for atmospheric pollutant transport is proposed considering a set of coupled convection-diffusion-reaction equations which is constructed following the technique of Lax and Wendroff and tested with a numerical experiment in La Palma Island.

TL;DR: This paper presents an analysis of bonded-bolted steel butt joints with particular attention to the effect of the loss of bolt tightness to the structural behaviour.

TL;DR: In this work, an improved model to compute either the stiffness reductions or the ultimate loads has been proposed to take into account the non-linear effects due to the shear components.

TL;DR: The theoretical analysis and experimental results show that the algorithm NSIOA is of a strong potential in solving practical problems and will converge to global optimal solution with high probability.

TL;DR: The difficulties in measuring as-built free forms and curves up to the size of a building were encountered and solved to enable the display of the hidden inter-relationship between outdoor and indoor profiles through sections.