scispace - formally typeset
D

Duzgun Agdas

Researcher at Queensland University of Technology

Publications -  49
Citations -  713

Duzgun Agdas is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Project management & Supply chain. The author has an hindex of 12, co-authored 45 publications receiving 469 citations. Previous affiliations of Duzgun Agdas include University of Florida.

Papers
More filters
Journal ArticleDOI

Comparison of Visual Inspection and Structural-Health Monitoring As Bridge Condition Assessment Methods

TL;DR: This paper presents the results of a research project aimed at examining the capabilities and challenges of two distinct but not mutually exclusive approaches to in-service bridge assessment: visual inspection and installed monitoring systems.
Journal ArticleDOI

Impact of the COVID-19 Pandemic on the U.S. Electricity Demand and Supply: An Early View from Data

TL;DR: Analysis of electricity data until the end of May 2020, examining both electricity demand and variables that can indicate stress on the power grid indicates that a 10% (95% CI [2%, 18%]) increase in electricity demand is likely to have occurred due to COVID-19 for the city analyzed.
Journal ArticleDOI

Making the Case for Improved Structural Design: Tornado Outbreaks of 2011

TL;DR: The authors in this article examined observations by tornado damage assessment teams led by the first author in these two medium-sized cities and suggested that the evolution of building codes and past approaches to construction have led to conditions that made this extent of damage possible.
Journal ArticleDOI

Energy use assessment of educational buildings: Toward a campus-wide sustainable energy policy

TL;DR: In this paper, the authors analyzed the energy consumption trends of 10 LEED-certified buildings and 14 non-LEED certified buildings at a major university in the US and found that the average energy use intensity (EUI) of the LEED buildings was significantly higher than non-leeds buildings.
Journal ArticleDOI

Utility of genetic algorithms for solving large scale construction time/cost trade-off problems

TL;DR: A number of simple, yet effective, techniques that improve GA performance for TCT problems are demonstrated; the most effective of which is a novel problem encoding, based on weighted graphs, that enables the critical path problem to be partially solved for all candidate solutions a priori, thus significantly increasing fitness evaluation.