An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement
The construction and maintenance of roads pavement was a critical problem in the last
years. Therefore, the use of roller-compacted concrete pavement (RCCP) in road problems …
years. Therefore, the use of roller-compacted concrete pavement (RCCP) in road problems …
On the implementation of the interpretable data-intelligence model for designing service life of structural concrete in a marine environment
Modeling the durability design of reinforced concrete structures is a particularly crucial
challenge for identifying the behavior of marine concrete. In this research, novel …
challenge for identifying the behavior of marine concrete. In this research, novel …
An evolutionary neuro-fuzzy-based approach to estimate the compressive strength of eco-friendly concrete containing recycled construction wastes
There has been a significant increase in construction and demolition (C&D) waste due to the
growth of cities and the need for new construction, raising concerns about the impact on the …
growth of cities and the need for new construction, raising concerns about the impact on the …
Toward presenting an ensemble meta‐model for evaluation of pozzolanic mixtures incorporating industrial by‐products
Unsustainable development in the industry has increased the challenge of proper disposal
of industrial by‐products and has caused environmental pollution on a large scale …
of industrial by‐products and has caused environmental pollution on a large scale …
Classification-based regression models for prediction of the mechanical properties of roller-compacted concrete pavement
In the field of pavement engineering, the determination of the mechanical characteristics is
one of the essential processes for reliable material design and highway sustainability. Early …
one of the essential processes for reliable material design and highway sustainability. Early …
Extreme learning machine for estimation of the engineering properties of self-compacting mortar with high-volume mineral admixtures
The utilization of supplementary cementitious materials obtained from industrial by-products
or wastes is one of the most effective ways to minimize the costs as well as environmental …
or wastes is one of the most effective ways to minimize the costs as well as environmental …
Reliability assessment of compressive and splitting tensile strength prediction of roller compacted concrete pavement: introducing MARS-GOA-MCS
G Zhang, NS Hamzehkolaei… - … Journal of Pavement …, 2022 - Taylor & Francis
It is required to determine the mechanical properties of Roller Compacted Concrete
Pavement (RCCP) such as Compressive Strength (CS) and Splitting Tensile Strength (STS) …
Pavement (RCCP) such as Compressive Strength (CS) and Splitting Tensile Strength (STS) …
Multiple quadratic polynomial regression models and quality maps for tensile mechanical properties and quality indices of cast aluminum alloys according to artificial …
WC Yang, JY Yang, RC Kim - Advances in Materials Science …, 2023 - Wiley Online Library
To evaluate the quality of cast aluminum alloys quantitatively and intuitively, quality index
and quality map have been used. Quality index and quality map are to quantitatively …
and quality map have been used. Quality index and quality map are to quantitatively …
[HTML][HTML] Unveiling the potential of an evolutionary approach for accurate compressive strength prediction of engineered cementitious composites
AD TQ, AR Masoodi, AH Gandomi - Case Studies in Construction Materials, 2023 - Elsevier
The different human activities in numerous fields of civil engineering have become possible
due to recent development in soft computing. As many researchers have widely extended …
due to recent development in soft computing. As many researchers have widely extended …
Proposing the combined MARS–PSO and ELM–PSO models for estimating the compressive strength of circular concrete columns wrapped with FRP sheets
M Hanteh, H Malek, A Kheyroddin - Soft Computing, 2023 - Springer
The purpose of this study is to use multivariate adaptive regression spline (MARS) and
extreme learning machine (ELM) artificial intelligence models to estimate the compressive …
extreme learning machine (ELM) artificial intelligence models to estimate the compressive …