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Predicting pore volume, compressive strength, pore connectivity, and formation factor in cementitious pastes containing fly ash
(Elsevier, 2021-09)
This paper describes the use of thermodynamic modeling to predict the reaction products and properties of cementitious pastes containing fly ash. A pore partitioning model is used to estimate the gel and capillary pore ...
Mapping the scientific research of the life cycle assessment in the construction industry: A scientometric analysis
(Elsevier, 2021-10-15)
The interest toward the life cycle assessment studies in the construction industry has been increasing in the last decades. However, there is no existing study that focuses on mapping the scientific research of the LCAs ...
Numerical analysis of segmental tunnel linings - Use of the beam-spring and solid-interface methods
(Techno-Press (테크노프레스), 2022-04-16)
The effect of segmental joints is one of main importance for the segmental lining design when tunnels are excavated by a mechanized process. In this paper, segmental tunnel linings are analyzed by two numerical methods, ...
Soil liquefaction-induced uplift of buried pipes in sand-granulated-rubber mixture: Numerical modeling
(Elsevier, 2022-03)
The significant uplift of buried pipes observed during recent earthquakes has showed the need for further research in remediation methods for soil liquefaction. Sand-granulated rubber mixture is reported as a new soil ...
Automatic identification of roadway horizontal alignment information using geographic information system data: CurvS tool
(Sage, 2022)
This paper introduces CurvS, a web-based tool for researchers and analysts that automatically extracts, visualizes, and analyses roadway horizontal alignment information using readily available geographic information system ...
Tracking major resources for automated progress monitoring of construction activities: masonry work case
(Emerald, 2021-10-21)
Purpose: The purpose of this study is to monitor the progress of construction activities in an automated way by using sensor-based technologies for tracking multiple resources that are used in building construction. ...
Estimating roadway horizontal alignment using artificial neural network
(IEEE, 2021)
This paper presents a novel approach for extracting horizontal alignment data from Geographic Information Systems (GIS) centerline shapefiles. Estimating the road horizontal alignment is formulated as a minimization problem, ...
A cost-benefit analysis of sensor quality and spatial density for rapid regional post-event seismic damage assessment: Application to Istanbul
(Elsevier, 2022-12)
A quantitative evaluation of the influence of sensor quality and spatial density on the results of rapid regional seismic damage evaluations of buildings can provide an important reference for the deployment of a strong-motion ...
A comparative evaluation of sepiolite and nano-montmorillonite on the rheology of cementitious materials for 3D printing
(Elsevier, 2022-10-03)
Through the last decade, methods of digital manufacturing of concrete gained a significant interest compared to conventional concrete. The main challenge in additive manufacturing (3D printing) is to design a highly ...
Influence of sensor density on seismic damage assessment: A case study for istanbul
(Seismological Society of America, 2022-08)
The strong ground motions (GMs) recorded by strong motion networks are significant to increase the accuracy of seismic damage assessment. However, the influence of sensor density on seismic damage assessment remains ...
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