Now showing items 1-10 of 12
Bid mark-up selection using artificial neural networks and an entropy metric
The purpose of the paper is to perform bid mark-up optimisation through the use of artificial neural networks (ANN) and a metric of the selected bid mark-up's derived entropy. The scope is to provide an alternative, ...
NUMERICAL ANALYSIS OF ANCIENT MULTI-DRUM COLUMNS WITH EPISTYLES UNDER DYNAMIC LOADINGS
(International Association for Earthquake Engineering, 2008)
In this research work, the Discrete Element Methods (DEM) is utilized to investigate the response of ancient multi-drum columns during harmonic and earthquake excitations by simulating the individual rock blocks as distinct ...
A nonlinear impact model for simulating the use of rubber shock absorbers for mitigating the effects of structural pounding during earthquakes
SUMMARY During strong earthquakes, structural poundings may occur between adjacent buildings because of the limited separation distance and the deformations of their stories. A potential mitigation measure for this problem ...
Simulation of the response of ancient columns under harmonic and earthquake excitations
In this paper, the seismic behavior of ancient monumental structures with monolithic or multi-drum classical columns is investigated. In particular, the Discrete Element Methods (DEM) are utilized in the study of ancient ...
Disorder considerations in resource-constrained scheduling
A method is presented for allocating resources to construction activities and for scheduling construction projects under resource constraints by considering the effects that such resource limitations may have on the tendency ...
Simulation of the earthquake-induced pounding of seismically isolated buildings
Seismic isolation can significantly reduce the induced seismic loads to a relatively stiff building by inserting flexibility at its base to avoid resonance with the predominant frequencies of common earthquakes. Sometimes ...
The Science in Human Intuition: Optimum Bid Markup Calculations in Competitive Bidding Environments Using Probabilistic Neural Networks
The study presented in this paper seeks the development of a model to be used by the construction industry for optimum bid markup calculations in static and non-static competitive bidding environments. The framework presented ...
Διεθνές Ινστιτούτο Κύπρου για το Περιβάλλον και τη Δημόσια ΥγείαHarvard School of Public Health
(University of Hertfordshire, 2007)
Ανάλυση κατασκευών: σύγχρονες μέθοδοι με χρήση ηλεκτρονικών υπολογιστών
(Εκδόσεις Παπασωτηρίου, 2009)