Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …
architecture, engineering, and construction (AEC) industry to positively impact project …
A heuristic-optimized interval regression model for characterizing strength development of cemented soil subjected to varied temperatures
H Cai, C Chen, W Li, F Mao - Construction and Building Materials, 2024 - Elsevier
The inherent bias between inferred results from small-sized data and true values can be
mitigated through the introduction of resampling and interval regression techniques …
mitigated through the introduction of resampling and interval regression techniques …
A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms
Reinforced concrete (RC) shear walls play a pivotal role in resisting seismic and lateral
loads within structural frameworks. A thorough examination of the existing literature was …
loads within structural frameworks. A thorough examination of the existing literature was …
Satin bowerbird optimizer-neural network for approximating the capacity of CFST columns under compression
Y Liu, Y Liang - Scientific Reports, 2024 - nature.com
Concrete-filled steel tube columns (CFSTCs) are important elements in the construction
sector and predictive analysis of their behavior is essential. Recent works have revealed the …
sector and predictive analysis of their behavior is essential. Recent works have revealed the …
Design cost minimization of a reinforced concrete column section using overnew swarm-based optimization algorithms
It is very tiresome for a practiser to detect the best feasible sizing design of structural
members including reinforced concrete columns that is a highly nonlinear and complicated …
members including reinforced concrete columns that is a highly nonlinear and complicated …
Beton-Dolgulu Çelik Tüplü Kompozit Kolonların Nihai Eksenel Yük Taşıma Kapasitesi Tahmininde MARS, RVM ve ANN-Tabanlı Modellenmesinin Karşılaştırılması
Ç Avcı-karataş - Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri …, 2024 - dergipark.org.tr
The ductility and energy absorption characteristics of concrete-filled steel tube columns
(CFSTCCs) make these columns a good choice. In this paper, the three-dimensional (3D) …
(CFSTCCs) make these columns a good choice. In this paper, the three-dimensional (3D) …
[PDF][PDF] Beton-Dolgulu Çelik Tüplü Kompozit Kolonların Nihai Eksenel Yük Taşıma Kapasitesi Tahmininde MARS, RVM ve ANN-Tabanlı Modellenmesinin …
ÇA Karataş - Bilecik Seyh Edebali University Journal of Science …, 2024 - researchgate.net
Beton-dolgulu çelik tüplü kompozit kolonlar (BDÇTKK), özellikle büyük eğilme rijitlikleri,
süneklik ve enerji sönümleme kapasitesi bakımından yapı davranışını iyileştirici/geliştirici bir …
süneklik ve enerji sönümleme kapasitesi bakımından yapı davranışını iyileştirici/geliştirici bir …
Application of machine learning models in the capacity prediction of CCFST columns
K Megahed, NS Mahmoud… - Mansoura …, 2024 - mej.researchcommons.org
Circular concrete-filled steel tubular (CCFST) columns are widely utilized in structural
engineering due to their impressive load-bearing capabilities and ductility. Existing design …
engineering due to their impressive load-bearing capabilities and ductility. Existing design …
[PDF][PDF] Application of Machine Learning Models in the Capacity Prediction of Circular Concrete-illed Steel Tubular Columns
K Megahed, NS Mahmoud, SEM Abd-Rabou - researchgate.net
Circular concrete-illed steel tubular (CCFST) columns are widely utilized in structural
engineering due to their impressive load-bearing capabilities and ductility. Existing design …
engineering due to their impressive load-bearing capabilities and ductility. Existing design …