A coupled thermal-elastic-plastic-damage model for concrete subjected to dynamic loading

J Ma, J Chen, W Chen, L Huang - International Journal of Plasticity, 2022 - Elsevier
A coupled thermal-elastic-plastic-damage model for concrete subjected to dynamic loading
is proposed. This model is formulated in the thermodynamic framework, with the adoption of …

An implicit stress update algorithm for the plastic nonlocal damage model of concrete

C Su, D Lu, X Zhou, G Wang, X Zhuang, X Du - Computer Methods in …, 2023 - Elsevier
The numerical implementation of advanced plastic damage models has been challenging
due to the diverse computational difficulties caused by material nonlinearity. In this study …

Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches

L Khawaja, U Asif, K Onyelowe, AF Al Asmari… - Scientific Reports, 2024 - nature.com
Accurately predicting the Modulus of Resilience (MR) of subgrade soils, which exhibit non-
linear stress–strain behaviors, is crucial for effective soil assessment. Traditional laboratory …

Study on dynamic splitting tensile mechanical properties and microscopic mechanism analysis of steel fiber reinforced concrete

S Peng, B Wu, X Du, Y Zhao, Z Yu - Structures, 2023 - Elsevier
With high compressive strength and high fracture toughness, steel fiber reinforced concrete
is widely used in large-span bridges and high-rise buildings. Since concrete structures are …

[HTML][HTML] Modelling the properties of aerated concrete on the basis of raw materials and ash-and-slag wastes using machine learning paradigm

O Rudenko, D Galkina, M Sadenova… - Frontiers in …, 2024 - frontiersin.org
The thermal power industry, as a major consumer of hard coal, significantly contributes to
harmful emissions, affecting both air quality and soil health during the operation and …

A dynamic elastoplastic model of concrete based on a modeling method with environmental factors as constitutive variables

D Lu, F Meng, X Zhou, Y Zhuo, Z Gao… - Journal of Engineering …, 2023 - ascelibrary.org
This paper develops a modeling method with an incremental stress–strain–environment
constitutive model to predict the change in the plastic mechanical behavior of concrete …

Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming

L Khawaja, MF Javed, U Asif, L Alkhattabi, B Ahmed… - Structures, 2024 - Elsevier
Accurate prediction of resilient modulus (MR) in compacted subgrade soil is crucial for
planning secure and environmentally friendly flexible pavement systems. This research …

[HTML][HTML] Metakaolin in Ultra-High-Performance Concrete: A Critical Review of its Effectiveness as a Green and Sustainable Admixture

AM Mohamed, BA Tayeh - Case Studies in Construction Materials, 2024 - Elsevier
The current research aims to analyze metakaolin's effectiveness as a green and sustainable
admixture in ultra-high-performance concrete (UHPC). This study also focuses on …

Combined influence of modified recycled concrete aggregate and metakaolin on high-strength concrete production: Experimental assessment and machine learning …

MHR Sobuz, MM Rahman, R Aayaz… - … and Building Materials, 2025 - Elsevier
This article examines the advantages of adding metakaolin (MK) as a mineral additive to
concrete mixes with varied amounts of modified recycled concrete aggregate (MRCA) …

Machine learning models for estimating the compressive strength of rubberized concrete subjected to elevated temperature: Optimization and hyper-tuning

TS Alahmari, I Ullah, F Farooq - Sustainable Chemistry and Pharmacy, 2024 - Elsevier
The incorporation of rubber fibers (RFs) brings about significant divergence in the
characteristics of rubberized concrete when contrasted with traditional varieties. Thus …