To address the coupled effects of multiple factors on the flowability of fabric-form concrete during construction, as well as the reliance of conventional mixture-proportion design on empirical experience and its low trial-mixing efficiency, this study develops a Bayesian-optimization-based multilayer perceptron-random...
Teng Zhou, Rong Li, Qing-Fu Li et al.· Applied Sciences· 0 citations
Rapid and accurate leakage localization in urban water distribution networks (WDNs) is vital for reducing non-revenue water and supporting sustainable water resource management. This study develops a spatial–hydraulic coupled and interpretable machine learning framework for zonal leakage localization under operational...
Water distribution network (WDN) pipelines are essential infrastructure, and their failures cause significant economic and operational losses. Existing condition prediction models often struggle with high-dimensional non-linearities, severe class imbalance, and a lack of decision-centric interpretability. To address th...
The compressive strength of ultra-high-performance concrete (UHPC) is jointly influenced by multiple factors, including material composition, mixture proportion parameters, and curing regime. Conventional empirical methods are therefore insufficient to accurately characterize the highly nonlinear relationships involved...
Rong Li, Teng Zhou, Siyu Lu et al.· Applied Sciences· 0 citations
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