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Assembly-based flood repair cost and time models for industrial buildings in Turkey
(Elsevier, 2023-10)
Flooding is one of the most frequent hazard events significantly affecting the industry in Turkey, leading to severe economic losses and business disruptions. To predict the direct flood losses and business downtimes on ...
Calcium sulfoaluminate cement and supplementary cementitious materials-containing binders in self-healing systems
(Elsevier, 2023-08)
Creation of more durable concrete is one pathway to achieving improved sustainability and carbon footprint over a concrete structure's life. Microbially induced calcite precipitation has been shown to densify concrete ...
Analysis of the benefits, challenges and risks for the integrated use of BIM, RFID and WSN: A mixed method research
(Emerald Publishing Limited, 2023-07-11)
Purpose: The purpose of this study is to identify, classify and prioritize the benefits, challenges and risks for the integrated use of building information modeling (BIM), radio frequency identification (RFID) and wireless ...
Predicting the risky encounters without distance knowledge between the ships via machine learning algorithms
(Elsevier, 2023-07-01)
As the maritime traffic is getting denser, the number of encounters is increasing. The aim of this study is to develop a prediction model to classify encounters as risky or non-risky when two ships encounter in a certain ...
Science mapping the knowledge domain of energy performance research in the AEC industry: A scientometric analysis
(Elsevier, 2023-02-01)
This study aims to reveal the current state of energy performance research in the AEC industry and literature. The research objective is to identify hot topics (i.e., knowledge domain) and hot keywords (i.e., knowledge ...
A comparison study between 1D and 2D site response analyses based on observed earthquake acceleration records
(Springer, 2023)
The objective of the present work is to evaluate the necessity of 2D site response analysis based on the comparison among the peak ground and spectral accelerations recorded by Istanbul Rapid Response Network and Istanbul ...
Regional-scale seismic fragility, loss, and resilience assessment using physics-based simulated ground motions: An application to istanbul
(Wiley, 2023-05)
Using results from 57 large-scale physics-based fault-rupture and wave propagation simulations, this research aims to evaluate the seismic risk, loss, and resilience of more than 16,000 reinforced concrete buildings in the ...
A suite of broadband physics-based ground motion simulations for the Istanbul region
(Wiley, 2023-04)
Physics-based earthquake ground motion simulations (GMS) have acquired significant growth over the last two decades, mainly due to the explosive developments of high-performance computing techniques and resources. These ...
Estimating roadway horizontal alignment from geographic information systems data: An artificial neural network–based approach
(ASCE, 2023-11-01)
Estimating horizontal alignment using discretized roadway data points, such as GIS maps, is complicated because the number of curved and tangent segments and their start and end points are not known a priori. This study ...
Probabilistic seismic microzonation for ground shaking intensity, a case study in Türkiye
(Springer, 2023-10)
The purpose of seismic microzonation is to estimate earthquake characteristics on the ground surface based on a probabilistic approach to mitigate earthquake damage in the foreseeable future for the new buildings, as well ...
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