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Toplam kayıt 40, listelenen: 1-10
Sıvılaşma kaynaklı oturmaların azaltılmasında üst dolgu tabakasının etkisi : Bir vaka analiz
(Mühendislik Bilimleri ve Tasarım Dergisi, 2023)
Zemin tabakalarının cinsi, geoteknik özellikleri ve dinamik davranışı ile deprem
özelliklerine bağlı olarak meydana gelen sıvılaşma, depremler sırasında
mühendislik yapıların davranışı üzerinde olumsuz etkilere yol ...
Sıvılaşma nedeniyle meydana gelen oturmaların Pm4Sand bünye modeli ile incelenmesi
(Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 2022)
Depremlerin yıkıcı etkisini ve yapısal hasarları arttıran en önemli faktörlerden biri, dinamik yükler altında zemin tabakalarında oluşan deformasyonlardır. Özellikle suya doygun kumlu zeminlerde, kuvvetli yer hareketi ...
A numerical study on liquefaction induced settlements by using PM4Sand model
(2021)
The destructive effects of earthquakes negatively affect many people's lives
and cause a large number of lives and property losses. One of the most crucial factors that
increase the destructive effects and structural ...
Evaluation of pre‑ and post‑fre food risk by analytical hierarchy process method: a case study for the 2021 wildfres in Bodrum, Turkey
(2023)
Wildfres are regarded as one of the devastating natural disturbances to natural ecosystems, and threatening the lives of many
species. In July 2021, a wildfre took place in the Mediterranean region of Turkey in multiple ...
Optimal dimensions of post-tensioned concrete cylindrical walls using harmony search and snsemble learning with SHAP
(2023)
The optimal design of prestressed concrete cylindrical walls is greatly beneficial for economic and environmental impact. However, the lack of the available big enough datasets for the
training of robust machine learning ...
Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach
(2023)
Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its
strength, durability, resistance to cracking, and overall performance. The addition of basalt fibers
with high tensile strength ...
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
(Elsevier, 2023)
Colossal amounts of construction and demolition waste (C&D) and waste tires have become a
considerable global environmental concern. To alleviate this issue, it is proposed to use crumb
rubber (CR) derived from waste ...
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
(Elsevier, 2023)
Wind energy increasingly attracts investment from many countries as a clean and renewable energy source. Since
wind energy investment cost is high, the efficiency of a potential wind power plant should be determined ...
Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
(Elsevier, 2023)
Cantilever soldier pile retaining walls are used to ensure the stability of excavations. This paper deploys
ensemble machine learning algorithms towards achieving optimum design of these structures. A large dataset
was ...
Predictive modeling of recycled aggregate concrete beam shear strength using explainable ensemble learning methods
(2023)
Construction and demolition waste (CDW) together with the pollution caused by the
production of new concrete are increasingly becoming a burden on the environment. An appealing
strategy from both an ecological and a ...