Engineered geopolymer composites: a comprehensive state-of-the-art review on materials' perspective

KK Yaswanth, KHK Reddy, N Anusha… - Archives of Civil and …, 2024 - Springer
Engineered geopolymer composite (EGC) is considered an excellent innovation in imparting
the high ductility to the concrete composites with 100% eco-friendly and sustainable …

Machine learning and interactive GUI for concrete compressive strength prediction

MK Elshaarawy, MM Alsaadawi, AK Hamed - Scientific Reports, 2024 - nature.com
Concrete compressive strength (CS) is a crucial performance parameter in concrete
structure design. Reliable strength prediction reduces costs and time in design and prevents …

Settlement prediction of immersed tunnel considering time-dependent foundation modulus

SY He, C Tang, WH Zhou - Tunnelling and Underground Space …, 2024 - Elsevier
The focus of immersed tunnel research has primarily revolved around settlement monitoring
or prediction. However, there has been a lack of discussion regarding the time-dependent …

Machine learning-based acoustic emission technique for corrosion-induced damage monitoring in reinforced concrete structures

A Thirumalaiselvi, S Sasmal - Engineering Applications of Artificial …, 2024 - Elsevier
Early-stage detection of corrosion in reinforcement embedded inside concrete, generally
considered as the major problem in structures under extreme marine environments, can …

Solving partial differential equations using large-data models: a literature review

AM Hafiz, I Faiq, M Hassaballah - Artificial Intelligence Review, 2024 - Springer
Abstract Mathematics lies at the heart of engineering science and is very important for
capturing and modeling of diverse processes. These processes may be naturally-occurring …

Data-driven and physics-informed neural network for predicting tunnelling-induced ground deformation with sparse data of field measurement

Y Liu, S Liao, Y Yang, B Zhang - Tunnelling and Underground Space …, 2024 - Elsevier
Accurately predicting tunnelling-induced ground deformation (TIGD) is crucial for the safety
of tunnel construction and protection of surrounding environment. Existing analytical studies …

[HTML][HTML] Unmasking air quality: A novel image-based approach to align public perception with pollution levels

TC Lin, SY Wang, ZY Kung, YH Su, PT Chiueh… - Environment …, 2023 - Elsevier
In the quest to reconcile public perception of air pollution with scientific measurements, our
study introduced a pioneering method involving a gradient boost-regression tree model …

Machine learning approach for predicting compressive strength in foam concrete under varying mix designs and curing periods

SA Ahmad, HU Ahmed, SK Rafiq… - Smart Construction and …, 2023 - Springer
Efforts to reduce the weight of buildings and structures, counteract the seismic threat to
human life, and cut down on construction expenses are widespread. A strategy employed to …

Approximating families of sharp solutions to Fisher's equation with physics-informed neural networks

FM Rohrhofer, S Posch, C Gößnitzer… - Computer Physics …, 2025 - Elsevier
This paper employs physics-informed neural networks (PINNs) to solve Fisher's equation, a
fundamental reaction-diffusion system with both simplicity and significance. The focus is on …

A least squares–support vector machine for learning solution to multi-physical transient-state field coupled problems

X Han, X Zhao, Y Wu, Z Qu, G Li - Engineering Applications of Artificial …, 2024 - Elsevier
The least squares–support vector machine (LS-SVM) method has achieved remarkable
success in solving electromagnetic equations. However, the boundaries of the entire …