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Develo** artificial neural network models to predict corrosion of reinforcement in mechanically stabilized earth walls
Corrosion of reinforcement in mechanically stabilized earth (MSE) walls is mainly due to physical and chemical properties of back-fill materials,...
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Working condition recognition of fused magnesium furnace based on stochastic configuration networks and reinforcement learning
Automatic and accurate recognition of abnormal working conditions of fused magnesia furnace is of great significance to the safe and reliable...
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A review of cooperative multi-agent deep reinforcement learning
Deep Reinforcement Learning has made significant progress in multi-agent systems in recent years. The aim of this review article is to provide an...
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Investigating the multi-objective optimization of quality and efficiency using deep reinforcement learning
This study proposes a pipeline, which is based on deep reinforcement learning, aims to solve the multi-objective problem (MOP) on efficiency and...
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Improvement of the Simulation of the Degradation of Reinforced Concrete in Saltwater Environments Using Directives
High-performance computers are now essential in scientific and technological research and development because of their high processing capacity and...
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The Impact of Corrosion on the Seismic Assessment of Reinforced Concrete Bridge Piers
Reinforced Concrete (RC) bridges are a key elements for any transportation network, so that their safety and serviceability is of crucial importance...
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The Advancement of Aluminum Metal Matrix Composite Reinforced with Silicon Carbide Particles (Al-6061/SiCp): A Review
It is true that advancement in engineering and technology directly depends on the advancement of modified or new engineering materials. Now a day’s...
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Hybrid soft computational approaches for modeling the maximum ultimate bond strength between the corroded steel reinforcement and surrounding concrete
The capacity efficiency of load carrying with the accurate serviceability performances of reinforced concrete (RC) structure is an important aspect,...
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Hybrid intelligence modeling for estimating shear strength of FRP reinforced concrete members
The corrosion problem in the conventional steel reinforcement in concrete structures has diverted the researchers to explore alternative materials....
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Stability Detection of Building Bearing Structure Based on Bim and Computer Vision
The stability of building load-bearing structure is closely related to the building life. Unstable building load-bearing structure has a great...
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Experimental Study of Low Cycle Fatigue in Welded Reinforcing Steel Bars ASTM A706
ASTM A706 steel, used as concrete reinforcement in civil works, is often joined by overlap** or welding, this research addresses the welding joint,...
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Seismic Assessment of Reinforced Concrete Frames: Influence of Shear-Flexure Interaction and Rebar Corrosion
The stock of existing buildings across most of the European earthquake-prone countries has been built before the enforcement of modern seismic design...
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Effect of Blend Ratio on Physico-Mechanical Properties of Agro Stone Composite Caulking Materials
This work aimed to study the effect of blend ratio on properties of Agro stone caulking materials. With the experiment, fixed ratio pumice filler and...
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Image-Based Detection of Structural Defects Using Hierarchical Multi-scale Attention
With improving acquisition technologies, the inspection and monitoring of structures has become a field of application for deep learning. While other...
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Underwater wireless sensor networks: a review of routing protocols, taxonomy, and future directions
Wireless transmission of information using water as a communication channel is one of the potential technologies for the progress of potential...
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Damage Detection on Turbomachinery with Machine Learning Algortihms
This study uses machine learning methods to find deterioration in turbomachine parts. In turbomachines, damage control procedures are carried out at...
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Predicting ultimate bond strength of corroded reinforcement and surrounding concrete using a metaheuristic optimized least squares support vector regression model
The ultimate bond strength of corroded steel reinforcement and surrounding concrete critically affects the load carrying capacity and eventually...
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Analysis of tribological and mechanical properties of coated graphene oxide, tungsten disulphide reinforced nylon hybrid composites
Nylon with various reinforcements is utilized for composite gear preparation; however, the composite specimens have less strength and a higher wear...
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Robustness optimization for rapid prototy** of functional artifacts based on visualized computing digital twins
This study presents a robustness optimization method for rapid prototy** (RP) of functional artifacts based on visualized computing digital twins...
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A Study of Comparison Between YOLOv5 and YOLOv7 for Detection of Cracks in Concrete Structures
Mechanical failures of man-made structures pose risk to human life and property. Location and mitigation of cracks before it propagates through...