Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)
Mineral admixtures have been widely used to produce concrete. Pozzolans have been
utilized as partially replacement for Portland cement or blended cement in concrete based …
utilized as partially replacement for Portland cement or blended cement in concrete based …
[PDF][PDF] Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures
This study is aimed to predict the behaviour of channel shear connectors in composite floor
systems at different temperatures. For this purpose, a soft computing approach is adopted …
systems at different temperatures. For this purpose, a soft computing approach is adopted …
[PDF][PDF] Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)
Different parameters potentially affect the properties of corroded reinforced concrete beams.
However, the high number of these parameters and their dependence cause that the …
However, the high number of these parameters and their dependence cause that the …
Numerical study on the structural performance of corrugated low yield point steel plate shear walls with circular openings
Corrugated steel plate shear wall (CSPSW) as an innovative lateral load resisting system
provides various advantages in comparison with the flat steel plate shear wall, including …
provides various advantages in comparison with the flat steel plate shear wall, including …
Assessment of composite beam performance using GWO–ELM metaheuristic algorithm
R Ma, M Karimzadeh, A Ghabussi, Y Zandi… - Engineering with …, 2021 - Springer
Composite beams (CBs) include concrete slabs jointed to the steel parts by the shear
connectors, which highly popular in modern structures such as high rise buildings and …
connectors, which highly popular in modern structures such as high rise buildings and …
Fragility assessment of existing low-rise steel moment-resisting frames with masonry infills under mainshock-aftershock earthquake sequences
L Di Sarno, JR Wu - Bulletin of Earthquake Engineering, 2021 - Springer
This paper presents the fragility assessment of non-seismically designed steel moment
frames with masonry infills. The assessment considered the effects of multiple earthquakes …
frames with masonry infills. The assessment considered the effects of multiple earthquakes …
Evaluation and monitoring of impact resistance of fiber reinforced concrete by adaptive neuro fuzzy algorithm
Since there is no comprehensive research of the impact resistance of fiber reinforced
concrete structure, the main goal of the study was to investigate the most influential …
concrete structure, the main goal of the study was to investigate the most influential …
Modelling of masonry infills in existing steel moment-resisting frames: Nonlinear force-displacement relationship
The study described and summarised in this paper was aimed at developing a framework for
the definition of force-displacement relationships for single-strut models for masonry infill …
the definition of force-displacement relationships for single-strut models for masonry infill …
Effects of mining activities on nano-soil management using artificial intelligence models of ANN and ELM
Q Liu, K Peng, J Zeng, R Marzouki, A Majdi… - Advances in nano …, 2022 - koreascience.kr
Mining of ore minerals (sfalerite, cinnabar, and chalcopyrite) from the old mine has led in
significant environmental effects as contamination of soils and plants and acidification of …
significant environmental effects as contamination of soils and plants and acidification of …
Analyzing the energy performance of buildings by neuro-fuzzy logic based on different factors
Energy performance of buildings is an important issue to estimate the energy waste of
buildings and their impact on the environment, so designing energy-efficient buildings could …
buildings and their impact on the environment, so designing energy-efficient buildings could …