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Wenqi Guo

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4 records found

Journal article (2026) - Minfei Liang, Yong Fang, Wenqi Guo, Chuan He, Erik Schlangen, Branko Šavija, Sonia Contera
This study presents an integrated finite-element–machine-learning framework for predicting early-age stress evolution in concrete materials/structures by combining an enhanced thermo-chemo-mechanical (TCM) model, deep sequential learning (DSL), and active learning (AL). The proposed TCM model incorporates experimentally informed viscoelasticity, a stable exponential creep–relaxation conversion, and an efficient exponential algorithm for the Maxwell-chain formulation in finite element analysis, which is further validated by a temperature stress testing machine. This model generates high-fidelity stress–time data across diverse mixtures, temperatures, and structural configurations. These simulations are used to train a Gated Recurrent Unit with Monte Carlo Dropout (GRU-MCD) model, whose predictive performance surpasses conventional point-wise approaches such as Light Gradient Boosting Machine and Gaussian Process Regression, yielding higher accuracy with reduced overfitting. The AL strategy further enhances efficiency by enabling the GRU-MCD model to achieve the accuracy of ∼900 Latin Hypercube samples using only ∼200 samples selected by active learning. Although demonstrated on a wall–base structure, the proposed framework is general and applicable to other cementitious material or structural systems, providing an effective tool for cracking-risk evaluation, reliability analysis, and the design of low-carbon concrete structures. ...
Journal article (2026) - Minfei Liang, Yong Fang, Yidong Gan, Wenqi Guo, Chuan He, Sonia Contera, Erik Schlangen, Branko Šavija
This study presents an experimentally informed coupled creep–damage modelling framework for the time-dependent micromechanical behaviour of hardened cement paste. Using realistic microstructures, a viscoelastic formulation solved by an exponential algorithm, and a continuum damage model, the framework consistently captures microscale creep, creep recovery, and strain-rate-dependent response. The results show that microstructural discretization strongly affects predictions: coarse discretizations underestimate porosity and overestimate hydration, leading to overpredicted stiffness and strength. The model reproduces measured flexural strength, elastic modulus, and the observed brittle failure. Low-stress creep and recovery are predicted accurately, with high recovery ratios indicating predominantly linear creep. The calibrated HD-CSH/ LD-CSH creep modulus ratio is consistent with experimental insights, supporting that calcium hydroxide increases the creep modulus of CSH. Strain-rate effects are also captured: slower loading allows more creep and earlier damage in weaker phases, while faster loading drives damage into stronger phases, yielding higher apparent stiffness and strength with more pronounced damage patterns. Overall, the framework provides a physically consistent basis for studying microscale creep–damage interactions. Future work will incorporate temperature and moisture effects and extend the approach to multiscale simulations of long-term concrete behavior under realistic environments. ...
Journal article (2020) - Minfei Liang, Kun Feng, Chuan He, Yuqiang Li, Lin An, Wenqi Guo
The permeability of natural aggregate is close to cement mortar with relative lower w/c ratios, therefore when calculating the overall concrete water permeability, the effect of aggregate permeability cannot be neglected. This paper presents a sophisticated 3D three phase meso-scale model based on an efficient method of generating random ellipsoidal particles within confined cylindrical space. The meso-scale model considers concrete as the combination of mortar, aggregate and interfacial transition zone, and is used to characterize the permeability of concrete. Furthermore, a series of permeation experiments of concrete with different w/c ratios and aggregate volume fractions are conducted to exemplify the effects of aggregates on concrete water permeability and provide parameters and verification for numerical models. The effects of aggregate permeability on concrete water permeability is evaluated based on both experimental and numerical results. And the permeability coefficient of aggregate adopted in the experiment is estimated reasonably and incorporated into further numerical predictions of concrete water permeability. By comparing the experimental and numerical results, the applicability of meso-scale model proposed here is validated and the effects of aggregate on water permeability of concrete with different w/c ratios vary from each other, depending on the ratio of water permeability of aggregate and mortar. ...
Journal article (2020) - Wenqi Guo, Jing Su, Wenjun Lu, Christian H. Liebscher, Christoph Kirchlechner, Yuji Ikeda, Fritz Körmann, Xuan Liu, Yunfei Xue, Gerhard Dehm
In conventional metallic materials, strength and ductility are mutually exclusive, referred to as strength-ductility trade-off. Here, we demonstrate an approach to improve the strength and ductility simultaneously by introducing micro-banding and the accumulation of a high density of dislocations in single-phase high-entropy alloys (HEAs). We prepare two compositions (Cr10Mn50Fe20Co10Ni10 and Cr10Mn10Fe60Co10Ni10) with distinctive different stacking fault energies (SFEs) as experimental materials. The strength and ductility of the Cr10Mn50Fe20Co10Ni10 HEA are improved concurrently by grain refinement from 347.5 ± 216.1 µm to 18.3 ± 9.3 µm. The ultimate tensile strength increases from 543 ± 4 MPa to 621 ± 8 MPa and the elongation to failure enhances from 43±2% to 55±1%. To reveal the underlying deformation mechanisms responsible for such a strength-ductility synergy, the microstructural evolution upon loading is investigated by electron microscopy techniques. The dominant deformation mechanism observed for the Cr10Mn50Fe20Co10Ni10 HEA is the activation of micro-bands, which act both as dislocation sources and dislocation barriers, eventually, leading to the formation of dislocation cell structures. By decreasing grain size, much finer dislocation cell structures develop, which are responsible for the improvement in work hardening rate at higher strains (>7%) and thus for the increase in both strength and ductility. In order to drive guidelines for designing advanced HEAs by tailoring their SFE and grain size, we compute the SFEs of Cr10MnxFe70–xCo10Ni10 (10 ≤ x ≤ 60) based on first principles calculations. Based on these results the overall changes on deformation mechanism can be explained by the influence of Mn on the SFE. ...