Aiming at the durability problem caused by micro-crack damage in polymer under complex load and hygrothermal conditions, an epoxy resin matrix composite with self-repair function was developed. The multi-damage self-h...
Aiming at the durability problem caused by micro-crack damage in polymer under complex load and hygrothermal conditions, an epoxy resin matrix composite with self-repair function was developed. The multi-damage self-healing function of epoxy resin can be realized by carbon nanotubes (CNTs) reinforcement and polycaprolactone (PCL) toughening. Based on 0.5 wt% CNTs addition, epoxy resin systems with different PCL fillers (1/5/10/15 wt%) were successfully prepared. Through the comparison of thermal and mechanical properties, the optimum formula was obtained as the epoxy resin with CNTs and 5 wt% PCL composite (EPCP5). Furthermore, the tensile strength and elongation at break of EPCP5 increased by 25.4 % and 42.3 %, respectively, compared to the control sample. This improvement was attributed to the formation of hydrogen bonds between PCL and the epoxy resin, enhancing intermolecular forces. The difference in glass transition temperature for samples with varying PCL content was minimal (less than 3.8 %), indicating excellent thermal compatibility between the PCL/CNTs fillers and the resin matrix. Before damage, the tensile and flexural strengths of EPCP5 were 47.28 MPa and 116.35 MPa, respectively. Compared with one cycle for 40 % prefabricated damage, the tensile and flexural strengths of EPCP5 increased by 15.8 % and 25.1 %, 17.4 % and 25.3 % after second and three repair cycles, demonstrating the significant self-healing effect. Under 40 % and 60 % prefabrication loads, the self-healing efficiency of EPCP5 for tensile and flexural strengths reached up to 116.1 % after the third repair cycle. This was because the PCL melt filled and bridged the damaged area, effectively healing and reinforcing the micro-cracks. Noticed, after damage repairing, the micro-morphology showed that the 2–4 μm through cracks in the resin matrix were well healed. Furthermore, the infrared spectrum of EPCP5 showed a combination of the individual spectra of CNTs, PCL, and the resin, which indic
Efficient connection design is critical for the performance and applicability of precast concrete structures. This study proposes a novel in-span connection strategy using Ultra High Performance Concrete (UHPC) to ass...
Efficient connection design is critical for the performance and applicability of precast concrete structures. This study proposes a novel in-span connection strategy using Ultra High Performance Concrete (UHPC) to assemble two standardized short precast concrete beams into a single unit, referred to as a Precast Beam Unit (PBU). This configuration relocates the joint from the beam ends to the mid-span, reducing local weakening and premature failure in high-stress regions while enhancing constructability. Static loading tests were conducted on five PBUs, with one cast-in-place beam serving as a control. The reinforcement ratio and the length of the UHPC corresponding to the diameter of the steel bar were employed as the main design parameters. The flexural behavior and failure mode of specimens were analyzed based on load displacement curves, crack propagation, and strain responses. Results showed that PBU-1 exhibited a 6.3 % higher ultimate flexural capacity than the cast-in-place beam. PBU-5, with a reinforcement ratio of 1.65 % demonstrated a 140.2 % higher ultimate bearing capacity compared to PBU-1 (0.64 % reinforcement ratio). PBUs also showed reduced deflection, narrower crack widths, and enhanced stiffness. The study proposed calculation methods for cracking analysis, short-term stiffness, and the normal section flexural capacity of PBU. Moreover, a finite element model developed in ABAQUS was employed to verify the damage situation and ultimate bearing capacity of the specimens, with good agreement with the experimental results. These findings confirm the safety and applicability of PBU and demonstrate its favorable connection performance.
The effects of carbonation on cement-based materials have drawn much attention because of its profound influences on durability performance of concrete structures. Most accelerated carbonation in lab is conducted at R...
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The effects of carbonation on cement-based materials have drawn much attention because of its profound influences on durability performance of concrete structures. Most accelerated carbonation in lab is conducted at RH 50%–70%, which also dries out cement-based materials. The introduced drying action changes pore structure significantly, making the effects of carbonation obscure. To clarify the effects of pure carbonation, water permeability and related micro-structural characteristics are measured on mature mortars, which have been carbonated at water-saturated state. It is found that after carbonation, the porosity of mortars decreases slightly, with finer overall pore structure and lower characteristic pore size. The water permeability also decreases by roughly 40% on average. Based on the pore size distribution curves obtained through the low-field proton nuclear magnetic resonance technique, water permeability is predicted by the Katz-Thompson and Kozeny-Carman theories with satisfactory accuracy. The decrease of water permeability after carbonation agrees well with the reduced characteristic pore length, which quantitatively verifies the observed refinement of nanoscale pore structure due to pure carbonation.
Externally wrapped carbon fiber reinforced polymer (CFRP) composites have been considered to be effectively in strengthening or repairing steel pipes. In the present paper, an unidirectional carbon fiber fabric was us...
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Step roofs are sensitive to snow loads, therefore, snow distribution on lower roof of step roofs with gable-roof on the high part was studied through model experiment. The model experiments were conducted in open air ...
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This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://***/locate/withdrawalpolicy). This article has been retracted at the request of authors with approval of the Editor-in-Chief. ...
Wind-induced snowdrift phenomenon leads to the unbalanced distribution of snow on the building roofs, which could bring a huge safety hazard to the structure. The wind tunnel test is one of the main methods to study w...
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A novel pultruded large diameter glass fiber shell (GFS) and carbon fiber core (CFC) hybrid rod (19 mm) was developed for structural applications. In the present paper, the anchorage performance of hybrid rod was syst...
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We employ physics-informed neural networks (PINNs) to simulate the incompressible flows ranging from laminar to turbulent flows. We perform PINN simulations by considering two different formulations of the Navier-Stok...
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We employ physics-informed neural networks (PINNs) to simulate the incompressible flows ranging from laminar to turbulent flows. We perform PINN simulations by considering two different formulations of the Navier-Stokes equations: the velocity-pressure (VP) formulation and the vorticity-velocity (VV) formulation. We refer to these specific PINNs for the Navier-Stokes flow nets as NSFnets. Analytical solutions and direct numerical simulation (DNS) databases provide proper initial and boundary conditions for the NSFnet simulations. The spatial and temporal coordinates are the inputs of the NSFnets, while the instantaneous velocity and pressure fields are the outputs for the VP-NSFnet, and the instantaneous velocity and vorticity fields are the outputs for the VV-NSFnet. These two different forms of the Navier-Stokes equations together with the initial and boundary conditions are embedded into the loss function of the PINNs. No data is provided for the pressure to the VP-NSFnet, which is a hidden state and is obtained via the incompressibility constraint without splitting the equations. We obtain good accuracy of the NSFnet simulation results upon convergence of the loss function, verifying that NSFnets can effectively simulate complex incompressible flows using either the VP or the VV formulations. For the laminar flow solutions we show that the VV formulation is more accurate than the VP formulation. For the turbulent channel flow we show that NSFnets can sustain turbulence at Reτ ∼ 1, 000 but due to expensive training we only consider part of the channel domain and enforce velocity boundary conditions on the boundaries provided by the DNS data base. We also perform a systematic study on the weights used in the loss function for the data/physics components and investigate a new way of computing the weights dynamically to accelerate training and enhance accuracy. Our results suggest that the accuracy of NSFnets, for both laminar and turbulent flows, can be improved wi
Snow engineering for buildings is a new academic discipline, which aims to investigate and forecast the influence of snowfalls on buildings and surroundings as well as the possibility of the disaster such as buildings...
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