Results 51 to 60 of about 2,438 (186)
Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou +3 more
wiley +1 more source
Life-cycle low-carbon design and assessment of UHPC beams integrating flexural capacity requirements
The excellent mechanical properties of ultra-high performance concrete (UHPC) will reduce the cross-sectional size of UHPC beams, resulting in a decrease in the amount of UHPC and the carbon emission.
Yuqing Hu +5 more
doaj +1 more source
Recent Advances in Carbon Materials for Cathodes and Interlayers in Lithium–Sulfur Batteries
This review examines dimensional carbon materials (0D–3D) as hosts and interlayers for Li–S batteries. It details how structural morphology, heteroatom doping, and catalytic functionalization effectively mitigate the polysulfide shuttle effect, manage volume expansion, and accelerate redox kinetics.
Dayeon Lee +6 more
wiley +1 more source
Ultra high performance concrete (UHPC) is emerging as an innovative sustainable solution to rehabilitate deteriorated concrete pavements and bridges. In such usage, UHPC may be cast against different substrate materials such as normal strength concrete ...
Bahaa H Al-Abbas +4 more
doaj +1 more source
The effects of incorporating carbon nanotubes (CNTs) into ultra-high performance concrete (UHPC), thereby forming UHPC/CNT composites, were investigated in terms of electrical curing efficiency, mechanical properties, and crack sensing capability.
Myungjun Jung +3 more
doaj +1 more source
Existing methods often struggle to balance accuracy and robustness against complex interference such as noise and artefacts inherent in industrial CT imaging. To overcome these limitations, we propose an innovative framework named MultiBlock‐SwinUnet. This architecture is designed to enhance feature extraction for different categories of concrete and ...
Xinlei Yan, Guolong Yu, Rui Hao
wiley +1 more source
This research evaluates the seismic behavior of precast ultra-high performance concrete (UHPC) and high-strength concrete (HSC) beam-column connections. Quasi-static test was performed on three UHPC-HSC connections and one cast-in-place connection.
Xiaolei Zhang +6 more
doaj +1 more source
This study presents a quantitative method for assessing concrete damage based on acoustic emission (AE) signal analysis. Employing AE to monitor damage evolution under uniaxial compressive loading in real time. The collected signals were subjected to two‐layer wavelet packet decomposition (WPD) to obtain four frequency bands.
Zonglian Wang +6 more
wiley +1 more source
This paper presents an experimental and numerical investigation into the bending behaviour of reinforced concrete (RC) T-beams damaged by overheight vehicle impact strengthened with ultra-high performance concrete (UHPC).
Pengfei Men +5 more
doaj +1 more source
In this work, the compressive strength of high‐performance concrete (HPC) mixtures was estimated by four various machine learning methods based on Gaussian process regression (GPR). For this purpose, kernel functions including exponential, Matern, rational quadratic, and squared exponential were employed in modeling.
Guangcheng Diao +2 more
wiley +1 more source

