Damage Model Research Articles

A FEM-based model for failure initiation in the microstructure of gray cast iron under uniaxial compression

PurposeThe purpose of this study was to validate the feasibility of the proposed microstructure-based model by comparing the simulation results with experimental data. The study also aimed to investigate the relationship between the orientation of graphite flakes and the failure behavior of the material under compressive loads as well as the effect of image size on the accuracy of stress–strain behavior predictions.Design/methodology/approachThis paper presents a microstructure-based model that utilizes the finite element method (FEM) combined with representative volume elements (RVE) to simulate the hardening and failure behavior of ferrite-pearlite matrix gray cast iron under uniaxial loading conditions. The material was first analyzed using optical microscopy, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) and X-ray diffraction (XRD) to identify the different phases and their characteristics. High-resolution SEM images of the undeformed material microstructure were then converted into finite element meshes using OOF2 software. The Johnson–Cook (J–C) model, along with a damage model, was employed in Abaqus FEA software to estimate the elastic and elastoplastic behavior under assumed plane stress conditions.FindingsThe findings indicate that crack initiation and propagation in gray cast iron begin at the interface between graphite particles and the pearlitic matrix, with microcrack networks extending into the metal matrix, eventually coalescing to cause material failure. The ferritic phase within the material contributes some ductility, thereby delaying crack initiation.Originality/valueThis study introduces a novel approach by integrating microstructural analysis with FEM and RVE techniques to accurately model the hardening and failure behavior of gray cast iron under uniaxial loading. The incorporation of high-resolution SEM images into finite element meshes, combined with the J–C model and damage assessment in Abaqus, provides a comprehensive method for predicting material performance. This approach enhances the understanding of the microstructural influences on crack initiation and propagation, offering valuable insights for improving the design and durability of gray cast iron components.

Evaluating the use of in-season measures of pest abundance to predict end-of-season damage: a study in commercial almond (Prunus dulcis).

Pre-harvest pest management tools are essential to minimizing crop loss. The development of predictive models using early warning signs of pest abundance to predict imminent crop loss can guide management decisions and enable targeted, well-calibrated intervention. With sufficient data, in-season measures of pest abundance can be an important factor in generating accurate predictions of damage. However, sampling plans for tracking insect phenology and those designed to guide informed pest-management may not be equivalent. Using data from a commercial almond orchard setting, we evaluated five different lure-trap combinations used for monitoring navel orangeworm (Amyelois transitella; a primary pest of almond) under different management conditions. Using these data, we developed a predictive model of almond damage and evaluated the contribution of in-season measures of pest abundance towards accurate predictions of end-of-season damage. Mating disruption in orchard management influenced the efficacy of multiple lure-trap combinations. Despite this effect, there was as strong correlation between measured pest abundance and damage across multiple trap types regardless of management method. While statistically significant, measures of pest abundance did not enhance the accuracy of predictive models and characteristics of almond variety were stronger predictors of damage at harvest. Repeated significant correlations between navel orangeworm abundance and almond damage across multiple trap types justifies continued exploration of predictive modeling as a management tool. Lure-trap combinations exhibiting resistance to external factors are clear candidates for further development. However, generating accurate predictions of damage using these data will likely require calibration or modification of current sampling protocols. © 2024 Society of Chemical Industry. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Coupling of discrete crack and continuous damage model to describe the complete process of concrete fracture

Coupling of discrete crack and continuous damage model to describe the complete process of concrete fracture

Prediction model of male reproductive function damage caused by CHOP chemotherapy regimen for non-Hodgkin's lymphoma.

The CHOP combined chemotherapy regimen (cyclophosphamide, doxorubicin, vincristine, and prednisone) is commonly used to treat non-Hodgkin Lymphoma (NHL). While these drugs are effective for cancer treatment, they may have side effects on the reproductive system that are poorly studied. This study used a mouse model to investigate the mechanisms of reproductive function impairment induced by the CHOP regimen and developed a predictive model for assessing reproductive damage with a non-invasive procedure. From 2022 to 2023, we statistically analyzed the changes of reproductive function of NHL patients before and after receiving CHOP regimen in the First Affiliated Hospital of Xiamen University. The NHL mouse model was established and divided into CHOP treatment group and control group. The weight of testis and epididymis, sperm quality and motility were compared between the two groups. Histopathological examination of testicular tissue was performed to determine pathological changes. ELISA was used to measure the expression of cytokines and cytokine pathways in serum, protein expression was analyzed by immunohistochemistry, and protein and mRNA levels of cytokines and pathways were evaluated by Western blotting and qPCR. Using stepwise regression method to select important factors, a prediction model of reproductive system damage was constructed. Fifty-two NHL patients included in the questionnaire showed significant reproductive system damage after CHOP regimen treatment. The weight of testis and epididymis, as well as the number and vitality of sperm in the mouse model treatment group were significantly lower than those in the control group. Serum LH, FSH, estradiol and progesterone levels decreased significantly, while inhibin B levels increased significantly. There was no significant change in testosterone or prolactin levels. Inflammatory markers such as CSF-1, IL-1, IL-6, TGF-β1 and GDNF increased significantly, while the level of SOD1 decreased significantly. Immunohistochemical staining analysis showed that CAMP, Caspase3, CSF-1, GDNF, IL-1, IL-6, PRKACB, TGF-β1 and TXNDC5 were all expressed in spermatocytes, and the expression of therapeutic histones was significantly higher than that of the control group. Western blot analysis further detected the protein expression, and QPCR detected the mRNA content. The results showed that the expression of histone and mRNA in the treatment group was significantly higher than that in the control group. Stepwise regression method determined that estradiol (E2) was the most important variable in the prediction model, and the AUC for predicting reproductive damage was 1. The CHOP regimen induces male reproductive toxicity, potentially mediated through alterations in hormone levels and increased expression of inflammatory cytokines and oxidative stress. Using E2 as the sole predictor in the model accurately predicts the extent of reproductive damage, offering a non-invasive method for detecting reproductive system damage.

Analysis of damage characteristics of reinforced concrete slabs under explosive impact and research on CFRP reinforcement

To study the damage characteristics and damage model of reinforced concrete slabs under explosive impact, the failure modes of reinforced concrete slabs under near-field and contact explosion were first studied through on-site experiments. A coupled model was established based on the Coupled Eulerian-Lagrangian (CEL) method using AUTODYN finite element software. The reliability of the model was verified by comparing the numerical simulation results with experimental results. Based on this, a fully coupled model of Carbon Fiber Reinforced Polymer (CFRP) reinforcement for reinforced concrete slabs under contact explosion was established, and the influence of different CFRP thicknesses and reinforcement methods on the blast resistance performance of reinforced concrete slabs was discussed. The research results indicate that under the action of near-field explosions, the front face of reinforced concrete slabs mainly experiences slight peeling damage, and the central area of the back face forms seismic collapse and peeling damage, with damage cracks diverging from the center to the surrounding areas; Under the action of contact explosion, the front face of the reinforced concrete slab produces blast pits, the back face forms a seismic collapse zone, and peeling damage occurs; The CFRP reinforcement layer can improve the blast resistance performance of reinforced concrete slabs; There is an optimal thickness when using CFRP to enhance the blast resistance of reinforced concrete slabs.

E'jiao and Cubilose Formula Induced Antioxidant Activity and Improved Collagen Expression of Human Skin Fibroblasts During Oxidation Damage.

As traditional Chinese medicinal materials, E'jiao and cubilose are rich in various bioactive substances with good antioxidant, anti-inflammatory, and immune-regulating effects. To obtain the optimal ratio of synergistic effect between E'jiao and cubilose. The antioxidant capacity of E'jiao and cubilose digestive fluid was evaluated invitro, as well as the intracellular oxidation balance between HSF cells and 3D whole-skin model induced by H2O2. E'jiao, cubilose, and their different ratios of composites had better scavenging ability against free radicals such as DPPH (2,2-Diphenyl-1-picrylhydrazyl). Using HSF cells induced by H2O2 as an oxidative damage model, it was found that the combination of E'jiao and cubilose in a ratio of 2:3 significantly enhanced the activities of SOD, GSH-PX, and CAT enzymes compared to the separate treatments of E'jiao and cubilose, as well as other combination ratios. It effectively reduced the accumulation of reactive oxygen species caused by H2O2 in HSF (Human Skin Fibroblast)cells and protected the integrity of the cells. Further analysis using flow cytometry and a 3D full-thickness skin model revealed that the combination ratio of 2:3 increased the proportion of H2O2-treated cells in the S%+G2% phase from 19.1% + 7.4%-22.1% + 28.8%, helping oxidatively damaged cells partially recover their proliferative capacity. It also promoted the expression of collagen I and collagen IV in the 3D full-thickness skin model, with improvement rates reaching 168.00% and 123.68%, respectively. These findings indicate that the combination of E'jiao and cubilose in a ratio of 2:3 exhibits good synergistic effects, enhancing the ability of cells to resist oxidative damage, promoting cellular renewal and metabolism, and improving skin antiwrinkle capacity.

Granular Soils and Contaminant Modeling in Tailing Dams

The granular soils of tailings, encompassing clay, gravel, sand, and silt, play a pivotal role in the behavior and stability of tailings dams. Different types of granular soils significantly influence the tailings material’s strength, compressibility, and permeability. This study highlights the importance of understanding the relationship between soil types and contaminant properties when analyzing solute transport through numerical modeling. Consequently, various soil types were incorporated into the initial tailings dam model to simulate contaminant transport based on solute transport analysis. The findings underscored the essential role of granular soils in contaminant dispersion within tailings dams. Finer particles, such as clay and silt, demonstrated higher adsorption capacities, which slow contaminant movement. In contrast, coarser materials, like sand and gravel, enable faster transport, increasing the potential for rapid dispersion.

Numerical modeling and experimental validation of low velocity impact of woven GFRP/CFRP composites

Low-velocity impact of 2D woven glass fiber reinforced polymer (GFRP) and carbon fiber reinforced polymer (CFRP) composite laminates was studied experimentally and numerically. Hybrid laminates containing blocked layers of GFRP/CFRP/GFRP with all plies oriented at 0° were investigated. Relatively high impact energies were used to obtain full perforation of the laminate in a low-velocity impact setup. Numerical simulations were carried out using the in-house transient dynamics finite element code, Sierra/SM, developed at Sandia National Laboratories. A three-dimensional continuum damage model was used to describe the response of a woven composite ply. Two methods for handling delamination were considered and compared: (1) cohesive zone modeling and (2) continuum damage mechanics. The reduced model size achieved by omission of the cohesive zone elements produced acceptable results at reduced computational cost. The comparison between different modeling techniques can be used to inform modeling decisions relevant to low velocity impact scenarios. The modeling was validated by comparing with the experimental results and showed good agreement in terms of predicted damage mechanisms and impactor velocity and force histories.

Vertical z-axis discontinuous carbon fibers for improved lightning strike performance of continuous fiber-reinforced polymer composites

Effective lightning strike protection for critical aerospace and wind applications requires high electrical conductivity to dissipate current efficiently. However, polymer matrix composites face a challenge due to their inherently insulating nature. While conventional carbon fiber-reinforced composites (CFRP) exhibit electrical conductivity in the planar direction, achieving through-thickness conductivity remains an ongoing challenge. In this work, we have undertaken the fabrication of CFRP interleaved with vertically oriented carbon fibers (Z-fiber) to impart higher electrical conductivity along the thickness direction. Two Z-fiber composite variations are prepared: Z-1 with a single layer of Z-fiber and Z-5 with five interleaved layers and compared with no Z-fiber layer (Z-0) composite. The composite panels were subjected to lab-scale lightning strike tests with a current magnitude of 100 kA. To emulate real-world service conditions, an aerospace-grade paint coating was applied to the composite laminates. Comparative analysis shows Z-1 reduces damage diameter to ∼22 mm compared to Z-0 (∼26 mm), while Z-5 exhibits the least damage (∼16.7 mm), confirmed by optical microscopy. Z-5 demonstrates nine times higher through-thickness electrical conductivity than Z-0, reducing electrical anisotropy substantially. Thermal-electric finite element damage modeling predicts surface damage within 6% of experimental values for both Z-0 and Z-5 composites. Flexural tests post-lightning reveal Z-5 retains 66% flexural strength and 86% modulus, significantly better than Z-0, which retains less than 40% for both properties. This study highlights the efficacy of Z-fiber composites in lightning strike protection, offering improved through-thickness conductivity and mechanical property retention.

Thermo-mechanical fatigue behavior and life prediction of selective laser melted inconel 718

The thermo-mechanical fatigue (TMF) property and corresponding damage mechanisms of selective laser melted (SLM) Inconel 718 superalloy were investigated systemically. The results show that the TMF life under in-phase (IP) loading is lower than that under out-of-phase (OP) loading, and the life difference gradually decreases with decreasing the strain amplitude. The fatigue cracks mainly exhibit inter-granular cracking characteristics under IP loading, and the δ phase embedded to the grain boundary promotes the creep cavity formation and then causes the fatigue crack propagation. While under OP loading, the fatigue crack is mainly characterized by trans-granular cracking, the oxidation induced crack extends from the specimen surface to the interior. A parameter, known as the shape factor k, has been discovered to exhibit high stability in temperature variations. Given the high stability of the k value and the quantitative relationship between stress and plastic strain range across different loading modes, a rapid prediction method for TMF hysteretic energy based on low cycle fatigue (LCF) has been proposed. Finally, combined with the energy cumulative damage model, the TMF life is successfully predicted. This approach significantly reduces the experimental quantity and complexity required for the TMF life prediction process, demonstrating substantial industrial application value.

Numerical Simulations Using iRIC Nays2DH for Sediment Transport Behaviors in Dam Breach Tests

After the breach of a landslide dam, the sediment in the breach opening will be carried downstream by the breach flood. The river channel will also be eroded by the flood, resulting in bed load transport. Three large-scale dam breach tests were conducted to investigate the sediment transport behavior after a dam breach. The topography data of the creek channel were measured before and after the dam breach tests to understand the sediment transport behavior. The sediment transport simulations of the dam breach tests were conducted using the iRIC Nays2DH software. The simulations focused on three types of test setups: the single dam, single dam with a spur dike, and double dam models. The terrain (DEM) for the numerical model input was designated based on the LiDAR results, and a flow hydrograph during the dam breach tests was applied. The accuracy of the simulations was assessed using the “coverage index” and “mean absolute percentage error”. A numerical parametrical study was performed to find the major parameters that influenced the simulations. The results showed that the dynamic behavior of water flow and sediment during the dam breach processes were effectively captured by the iRIC Nays2DH simulation, but with limitations. The average flow velocity of the flood in the single dam case was the fastest among the three types of dam breaches. Due to the contraction of the creek channel caused by the spur dike, severe erosion occurred locally, and the flow rate increased in the narrowed section. Water impoundment between the two dams after the first dam breach and the consequent breach of the second dam were also well-simulated for the double dam breach. The findings and simulations in this study help explain dam breaches better and can guide researchers working on sediment transport during dam-breach floods.

Numerical analysis of axially loaded concrete-filled steel tubular columns strengthened with CFRP grid-reinforced ECC

Carbon fiber-reinforced polymer (CFRP) and engineered cementitious composites (ECC) are commonly used to reinforce structural elements, with proven effectiveness in enhancing the performance of concrete-filled steel tube (CFST) columns as shown in prior experimental studies. However, the complex interaction among the components of the reinforced columns, including CFRP, ECC, the steel tube, and the concrete core, as well as the underlying mechanical mechanisms, remain insufficiently understood. This research aims to fill these gaps by developing a 3D finite element (FE) model of circular CFST short columns reinforced with CFRP grid-reinforced ECC for comprehensive numerical analysis. Sensitivity analyses are conducted to determine the governing parameters in the numerical simulation, including mesh size and critical plasticity parameters for the concrete damage model, such as the ratio of the second stress invariant on the tensile meridian to that on the compressive meridian (Kc), and the dilation angle (ψ) for both the concrete core and ECC. The model also accounts for the effects of concrete confinement provided by the CFRP grid-reinforced ECC layer and the circular steel tube. The accuracy of the FE model is validated against existing experimental data, and the model is subsequently used to investigate the behavior of reinforced CFST columns under varying geometric and material properties. The study examines failure modes, axial load-displacement responses, stress distributions, and the contribution of each material component to the load-bearing capacity of the strengthened columns. The results indicate an increase in ultimate axial strength ranging from 13% to 20% for the reinforced CFST columns. While the compressive strength of the ECC has a moderate effect on axial resistance, increasing ECC thickness, concrete strength, and steel tube yield strength significantly enhances the columns’ load-bearing capacity. Finally, a novel design model is proposed and validated, which accounts for the confinement effects provided by the CFRP grid and ECC on the concrete core.

Protective effect of ginseng extract and total ginsenosides on hematopoietic stem cell damage by inhibiting cell apoptosis and regulating the intestinal microflora.

Ginseng may improve the myelosuppression and intestinal microbiota disorder induced by cyclophosphamide (CY); however, the effect of ginseng components on hematopoietic stem cell (HSC) damage remains largely unexplored. The present study aimed to assess the protective effect of ginseng extract (GE), total ginsenosides (TG) and total polysaccharides (TP) from ginseng on the intestinal microflora and HSCs of model mice. In the present study, a mouse model of HSC damage induced by CY was constructed, intestinal microflora of fecal samples were sequenced using the 16S ribosomal RNA (rRNA) sequencing techniques, the differentially expressed genes (DEGs) of HSCs were analyzed using high‑throughput RNA‑sequencing, cell apoptosis and erythroid differentiation were detected using flow cytometry and the blood cell parameters were analyzed using a hematology analyzer. Analysis of the 16S rRNA in fecal samples showed that GE, TG and TP improved an imbalanced intestinal microflora, where the relative abundance of Lactobacillus intestinalis had a positive correlation with ginsenosides content. Specifically, TP significantly increased the expression of low‑abundance microflora. Transcriptomic analysis results revealed 2,250, 3,432 and 261 DEGs in the GE, TG and TP groups compared with those in the Model group, respectively. In the expression analysis of DEGs, both TG and GE were found to markedly increase the expression levels of Klf4, Hhex, Pbx1, Kmt2a, Mecom, Zc3h12a, Zbtb16, Lilr4b, Flt3 and Klf13. Furthermore, TG inhibited the apoptosis of HSCs by increasing the expression levels of Bcl2 and Mcl1, whilst decreasing the expression of Bax. By contrast, GE inhibited the apoptosis of HSCs by reducing the expression of Bax and Bad. Regarding erythroid differentiation and blood cell parameters, GE was found to significantly increase the expression of TER‑119. In addition, GE and TG improved all blood cell parameters, including the count of white blood cells, neutrophils (NEUT), lymphocytes (LYMPH), red blood cells (RBC), hemoglobin (HGB) and reticulocyte and platelets (PLT), whereas TP could only improve the counts of LYMPH, RBC, HGB and PLT. The improvement effect of GE and TG on WBC, NEUT and Ret was superior to TP. In conclusion, TG may protect the hematopoiesis function of HSCs in a CY‑induced mouse model of HSC damage, followed by GE. However, TP did not appear to improve HSC damage. Ginsenosides may therefore be considered essential ingredients in GE when protecting HSCs against damage. GE and TG exerted their protective effects on HSCs by inhibiting the apoptosis of HSCs whilst improving the imbalance of intestinal microflora.

Simulating the onset of damage in DCDC tests using a novel gradient‐extended damage model for tension‐compression asymmetry

AbstractIn the present work, an existing framework for gradient‐extended damage is extended to simulate the damage onset in double cleavage drilled compression (DCDC) tests. The main idea is to consider the different evolution of the damage variable under tensile and compressive loading. More specifically, the star‐convex decomposition is exploited to split the strain energy into an active part and an inactive part, and only the active part drives the evolution of the damage variable in the compressive regime. A parameter adopted in the star‐convex decomposition is applied to calibrate the compressive strength independently from the tensile strength, such that the current model can simulate different types of the damage onset. Furthermore, the strengthening effect induced by damage hardening is discussed in this work.

Protective Mechanism of Sea buckthorn Proanthocyanidins Against Hydrogen Peroxide-Introduced Oxidative Damage in Adult Retinal Pigment Epithelial-19

Retinal pigment epithelial (RPE) is an oxidation-resistant cell. But if it is subjected to various harmful stimuli for a prolonged period, an excessive amount of oxyradical will be generated to cause retinal dysfunction. We investigated and elucidated the protective mechanism of Sea buckthorn proanthocyanidins (SBP) against oxidative damage in RPE. In this study, we established an oxidative damage model of adult retinal pigment epithelial cell line-19 (ARPE-19) using hydrogen peroxide (H2O2), followed by different concentrations of SBP for 24 h. The finding demonstrated that SBP effectively inhibited the generation of malondialdehyde (MDA), restored the activity of superoxide dismutase (SOD) and content of glutathione (GSH), and significantly eliminated the level of reactive oxygen species (ROS) and oxidative stress. It was revealed that 100 µg/mL of SBP was more suitable for restoring oxidative damage in ARPE-19, which enhanced cell activity and migration ability and maintained normal cell morphology. In addition, SBP increased the expression of Bcl-2, decreased the expression of Bax and caspase-3, and activated the Nrf2/HO-1 signaling pathway to protect ARPE-19 from oxidative stress. Moreover, SBP could restore the morphology and quantity of mitochondria and inhibit mitochondrial permeability and swelling. The present results provide a theoretical basis for the protective and restorative effect of SBP in retinopathy caused by oxidative stress.

Analysis of shear creep damage model of slope rock mass under the influence of coupled damage effects (DBSM)

Abstract This article reveals the evolution law of shear creep damage of carbonaceous shale (weak interlayer of slope) under dynamic load from a mechanical perspective by combining indoor experiments and theoretical research. Firstly, a coupled damage variable D BSM was established for the initial damage D 0 and dynamic disturbance shear creep damage D BS of rock mass based on the theory of damage mechanics. Secondly, according to the fractional calculus operator theory and considering the influence of coupled damage variable D BSM on the viscosity coefficient of rock mass in the viscoelasticity and viscoplasticity creep stages, a shear creep damage model of rock mass was established. At the same time, combined with the shear creep test data under the influence of dynamic loads, the damage evolution law of shear creep in carbonaceous shale (weak interlayer of slope) was revealed, and the accuracy of the established shear creep damage model was verified. Finally, the damage evolution law of carbonaceous shale was quantitatively analyzed. Results show that: The shear creep damage model established in this article has unique advantages. The greater the initial damage, the more likely shear creep failure is to occur under the influence of dynamic disturbance and shear creep loads. Dynamic disturbance accelerates the damage of weak interlayers of slope. The cumulative coupling damage of carbonaceous shale (D ma ≤0.18) under dynamic disturbance and multi-stage shear creep loads exhibits an S-like evolution pattern. The shear creep damage mechanism of carbonaceous shale is characterized by obvious initial damage effect, dynamic disturbance damage effect, and stress response characteristics.

Cognitive improvement via cortical cannabinoid receptors and choline-containing lipids.

Recent research linking choline-containing lipids to degeneration of basal forebrain cholinergic neurons in neuropathological states illustrates the challenge of balancing lipid integrity with optimal acetylcholine levels, essential for memory preservation. The endocannabinoid system influences learning and memory processes regulated by cholinergic neurotransmission. Therefore, we hypothesised that activation of the endocannabinoid system may confer neuroprotection against cholinergic degeneration. We examined the neuroprotective potential of sub-chronic treatments with the cannabinoid agonist WIN55,212-2, using ex vivo organotypic tissue cultures including nucleus basalis magnocellularis and cortex and in vivo rat models of specific cholinergic damage induced by 192IgG-saporin. Levels of lipids, choline and acetylcholine were measured with histochemical and immunofluorescence assays, along with [35S]GTPγS autoradiography of cannabinoid and muscarinic GPCRs and MALDI-mass spectrometry imaging analysis. Learning and memory were assessed by the Barnes maze and the novel object recognition test in rats and in the 3xTg-AD mouse model. Degeneration, induced by 192IgG-saporin, of baso-cortical cholinergic pathways resulted in memory deficits and decreased cortical levels of lysophosphatidylcholines (LPC). WIN55,212-2 restored cortical cholinergic transmission and LPC levels via activation of cannabinoid receptors. This activation altered cortical lipid homeostasis mainly by reducing sphingomyelins in lesioned animals. These modifications were crucial for memory recovery. We hypothesise that WIN55,212-2 facilitates an alternative choline source by breaking down sphingomyelins, leading to elevated cortical acetylcholine levels and LPCs. These results imply that altering choline-containing lipids via activation of cannabinoid receptors presents a promising therapeutic approach for dementia linked to cholinergic dysfunction.

Mitochondrial donation as a mechanism of participation by mesenchymal stromal cells in regenerative processes

Mesenchymal stromal cells (MSCs) are universal regulators of regenerative processes due to their ability to secrete regulatory molecules or replace dead cells through differentiation in the appropriate direction. Recently, another mechanism for the beneficial effects of MSCs on damaged tissue has been discovered, such as the transfer of mitochondria into its cells in response to stress signals. MSCs can transfer mitochondria through tunneling nanotubes that form a communication bridge between cells, through gap junctions, by release as part of extracellular vesicles or in free form, and as a result of complete or partial fusion with recipient cells. In damaged cells that received mitochondria from MSCs, impaired energy metabolism is restored and oxidative stress is reduced, which is accompanied by increased survival, and in some cases also increased proliferation or a change in differentiation status. The restoration of energy after the transfer of mitochondria from MSCs has a beneficial effect on the functional activity of recipient cells and suppresses inflammatory reactions. A significant contribution of the MSC mitochondrial donation to the therapeutic efficacy of MSCs has been repeatedly demonstrated in models of damage to various organs in experimental animals. This stimulates the search for methods to enhance the process of mitochondrial donation. However, it should be taken into account that MSCs are able to transfer mitochondria to malignant cells as well, thereby stimulating tumor growth and increasing its resistance to chemotherapy. These data make it necessary to evaluate the prospects for the use of MSCs in cell therapy with caution. On the other hand, they can serve as a basis for the search for new therapeutic targets in the treatment of oncological diseases.

Bond performance and damage assessment of self-sensing steel–fiber composite bar with geopolymer concrete

This study employed a novel steel–fiber composite bar (SFCB) enhanced with Distributed Optical Fiber Sensors (DOFS) technology to reveal the local bonding and damage mechanisms between composite reinforcement and seawater sea sand geopolymer concrete. By embedding DOFS within the steel core of the SFCB reinforcement, the local bond stress between the reinforcement and geopolymer concrete was monitored. The continuous measurement provided by DOFS revealed a non-uniform strain distribution along the length of the SFCB reinforcement and an uneven distribution of bond stress within the bonded section. Based on test results, a modified bond–slip model was utilized to predict the bond–slip relationship between the SFCB reinforcement and the geopolymer concrete, taking into account the influence of surface treatment on the descending branch of the bond–slip curve. Additionally, a damage model was employed to evaluate the extent of damage at the bond interface between the SFCB reinforcement and the geopolymer concrete under different load levels. Finally, the modified bond–slip model was also used to propose the anchorage length for SFCB reinforcements, which was compared with ACI, CSA, and JSCE codes.

Transient dynamics simulation of helicopter tail transmission shaft damage

Abstract Using the LS-DYNA explicit dynamic analysis software, a finite element model of projectile damage in helicopter tail transmission shaft was established with the Johnson-Cook intensity model. The dynamic response of the tail transmission shaft during bullet penetration was simulated dynamically, revealing that projectile damage is the primary mode of failure. Three typical angles were selected to simulate the penetration process, and results indicate that compared to vertical and 45°bullet penetrations, tail transmission shaft damage is more severe.