Field Of Engineering Research Articles

Electrostatic charge mitigation by graphene-based thin films for optical solar reflectors in spacecraft

In the field of spacecraft engineering, in particular for geostationary and geosynchronous applications, a significant need exists for a thermal control film to be electrically conductive, to effectively manage the dissipation of accumulated charges. In this study, transparent-electrically conductive reduced graphene oxide is strategically applied to heated rigid (quartz glass) and flexible (Fluorinated Ethylene propylene) optical solar reflector substrates. This innovation harnesses the unique properties of graphene to seamlessly integrate electrical conductivity into space-appropriate substrates with minimum deviation in their optical transparency and thermal properties. The tape peel-off test, conducted in accordance with space materials standards (ASTM D903) using 3 M Scotch tape, reveals the better adhesion of the developed coating. A noteworthy aspect of the present work involves visualizing charge dissipation using Field Emission Scanning Electron Microscope (FESEM) electron bombardment through obtained images and decreased surface potential measured by Kelvin Probe Force microscopy (KPFM). Furthermore, a basic OSR model is fabricated by depositing a reflective back with Aluminium and graphene thin film protecting from the top to investigate the alteration in reflection by varying incident angles. This research contributes to the advancement of spacecraft materials and coatings aimed at improving spacecraft durability and functionality.

Mechanical Response in Existing Structure under Varied Subsurface Excavation Techniques

With the slowdown of urban incremental construction in China, reinforcement and renovation of existing buildings have become a hot topic in the fields of engineering and theoretical research. Underpinning pile foundations and underground excavation are commonly used methods for foundation renovation and reinforcement in existing buildings reinforcement and renovation projects. Nevertheless, there remains a dearth of relevant research concerning the effects of different excavation methods on the stability of existing structures during foundation reinforcement and underground space excavation. In the context of existing building pile foundation underpinning and underground excavation, this paper adopts a numerical simulation research method based on the modification of experimental model parameters, and it compares the overall stress changes and settlement of the underpinning pile foundation and the building under two modes of lateral and vertical excavation. The results indicate that there is a good agreement between the stress and settlement changes of the components in the indoor model experiment and the finite element simulation. Both excavation methods show that lateral and vertical excavation will generate maximum stress on the bottom components of the upper structure and the upper part of the pile. In terms of differences, vertical excavation will cause greater overall settlement of the building, but the settlement in different areas is basically the same. On the other hand, lateral excavation will have smaller overall settlement but may cause the structure to tilt. At the same time, lateral excavation will cause greater stress changes in the columns in the structure. Based on these findings, relevant engineering suggestions are provided to choose different excavation methods and strengthen existing buildings.

3D internal crack propagation in brittle solids under non-uniform temperature field: Experimental and numerical simulation

In the field of engineering, elevated temperatures often induce thermal stress. Especially in brittle materials, the propagation of internal cracks under such thermal stress is frequently the primary cause of failure. We utilize the 3D internal laser-engraved crack technology to create internal cracks at various locations inside the half-Brazilian disk specimens. By precisely controlling the power of the heating device, we achieved temperature non-uniformity of the external heat source, resulting in uneven heating of the material’s surface. Simultaneously, by adjusting the geometry of the material and using semi-Brazilian disk specimens, we generated uneven temperature gradients and thermal capacities along different heat conduction paths. The internal cracks at different locations also affect the distribution of thermal stress in the material, further influencing the formation of the non-uniform temperature fields (NUTF). Through the above methods, we successfully conducted physical experiments on the 3D propagation of internal cracks in brittle materials under NUTF. Additionally, we utilized J-integral and the finite element method for thermal analysis to conduct thermo-mechanical coupled 3D numerical simulations. Furthermore, we employed a polarising microscope to analyze the microscopic morphology of 3D internal cracks. Finally, we revealed the mechanism of 3D internal crack propagation under NUTF. The results show that prefabricated internal cracks in group A produce “n-shaped” crack at a height of 15 mm and “u-shaped” cracks at heights of 25 mm and 35 mm. Meanwhile, in group B, the eccentric prefabricated internal cracks ultimately produce “s-shaped” cracks. Through analysis, it was determined that the differential formation occurred due to relative sliding between the upper and lower surfaces of the crack under longitudinal shear stress induced by NUTF. Group A cracks have smooth surfaces, which are mode I-II cracks. group B generated “lance-like” fractures with obvious “anti-binary tree”, which are mixed mode I-II-III cracks. These findings provide an experimental and theoretical basis for the study of 3D internal crack propagation modes under NUTF and deepen the understanding of fracture mechanics in brittle materials.

No existence of a linear algorithm for the one-dimensional Fourier phase retrieval

Fourier phase retrieval, which aims to reconstruct a signal from its Fourier magnitude, is of fundamental importance in fields of engineering and science. In this paper, we provide a theoretical understanding of algorithms for the one-dimensional Fourier phase retrieval problem. Specifically, we demonstrate that if an algorithm exists which can reconstruct an arbitrary signal x∈CN in Poly(N)log⁡(1/ϵ) time to reach ϵ-precision from its magnitude of discrete Fourier transform and its initial value x(0), then P=NP. This partially elucidates the phenomenon that, despite the fact that almost all signals are uniquely determined by their Fourier magnitude and the absolute value of their initial value |x(0)|, no algorithm with theoretical guarantees has been proposed in the last few decades. Our proofs employ the result in computational complexity theory that the Product Partition problem is NP-complete in the strong sense.

A mixed-element phase field method for the fracture analysis of beams

The prediction of fracture in thin structures is crucial for the safety assessments in various fields of engineering. Modelling methods such as the phase-field method typically assume damage to be constant across the thickness of structural models like beams, plates and shells which, especially in load cases coupling stretching and bending, is an imperfect approximation. In this contribution, fracture behaviors along the thickness direction of Euler–Bernoulli beam considering axial deformation are addressed with a phase-field modeling approach. To achieve this, a mixed-element beam model is introduced, which combines 1D beam elements representing the displacement field with 2D rectangular elements describing a crack phase-field. The nonlinear coupled governing equations are solved using a staggered scheme. The transfer of variables between the coupled fields occurs at the quadrature points which in turn need to have corresponding geometric locations. Numerical examples ranging from the problems of fracture in standalone beams to lattice structures show the applicability of the approach, and detailed comparisons with a standard 2D model confirm its accuracy and efficiency.

Comparison of Genetic Algorithm and Particle Swarm Optimization in Determining the Solution of Nonlinear System of Equations

Nonlinear systems of equations often appear in various fields of science and engineering, but their analytical solutions are difficult to find, so numerical methods are needed to solve them. Optimization algorithms are very effective in finding solutions to nonlinear systems of equations especially when traditional analytical and numerical methods are difficult to apply. Two popular optimization methods used for this purpose are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). This study aims to compare the effectiveness of GA and PSO in finding solutions to nonlinear systems of equations. The criteria used for comparison include accuracy and speed of convergence. This research uses several examples of nonsmooth nonlinear systems of equations for experimentation and comparison. The results provide insight into when and how to effectively use these two algorithms to solve nonlinear systems of equations as well as their potential combinations

Invariant manifolds in a reversible Hamiltonian system: The tentacle-like geometry

We study a one-parameter family of time-reversible Hamiltonian vector fields in R4, which has received great attention in the literature. On the one hand, it is due to the role it plays in the context of certain applications in the field of Physics or Engineering and, on the other hand, we especially highlight its relevance within the framework of generic unfoldings of the four-dimensional nilpotent singularity of codimension four.The system exhibits a bifocal equilibrium point for a range of parameter values. The associated two-dimensional invariant manifolds, stable and unstable, fold into the phase space in such a way that they produce intricate patterns. This entangled geometry has previously been called tentacular geometry.We consider a three-dimensional level set containing the bifocal equilibrium point to gain insight into the folding behavior of these invariant manifolds. Our method consists of describing the traces left by invariant manifolds when crossing an invariant cross section by the reversibility map. With this new approach, we provide a better understanding of how tentacular geometry evolves with respect to the parameter.Our techniques enables us to link the tentacular geometry on the cross section with the study of cocooning cascades of homoclinic tangencies. Indeed, we present a general theory to extend to R4 the phenomena related to cocoon bifurcation that classically develop within families of three-dimensional reversible vector fields. On the basis of these results, we conjecture the existence of heteroclinic cycles consisting of two orbits connecting the bifocus with a saddle node periodic orbit.

Building better habitats: Spatiotemporal signaling cues in 3D biointerfaces for tailored cellular functionality.

A promising research direction in the field of biological engineering is the design and functional programming of three-dimensional (3D) biointerfaces designed to support living cell functionality and growth in vitro, offering a route to precisely regulate cellular behaviors and phenotypes for addressing therapeutic challenges. While traditional two-dimensional (2D) biointerfaces have provided valuable insights, incorporating specific signaling cues into a 3D biointeractive microenvironment at the right locations and time is now recognized as crucial for accurately programming cellular decision-making and communication processes. This approach aims to engineer cell-centric microenvironments with the potential to recapitulate complex biological functions into a finite set of growing cellular organizations. Additionally, they provide insights into the hierarchical logic governing the relationship between molecular components and higher-order multicellular functionality. The functional live cell-based microenvironment engineered through such innovative biointerfaces has the potential to be used as an in vitro model system for expanding our understanding of cellular behaviors or as a therapeutic habitat where cellular functions can be reprogrammed.

Design, construction and optimization of formaldehyde growth biosensors with broad application in biotechnology.

Formaldehyde is a key metabolite in natural and synthetic one-carbon metabolism. To facilitate the engineering of formaldehyde-producing enzymes, the development of sensitive, user-friendly, and cost-effective detection methods is required. In this study, we engineered Escherichia coli to serve as a cellular biosensor capable of detecting a broad range of formaldehyde concentrations. Using both natural and promiscuous formaldehyde assimilation enzymes, we designed three distinct E. coli growth biosensor strains that depend on formaldehyde for cell growth. These strains were engineered to be auxotrophic for one or several essential metabolites that could be produced through formaldehyde assimilation. The respective assimilating enzyme was expressed from the genome to compensate the auxotrophy in the presence of formaldehyde. We first predicted the formaldehyde dependency of the biosensors by flux balance analysis and then analysed it experimentally. Subsequent to strain engineering, we enhanced the formaldehyde sensitivity of two biosensors either through adaptive laboratory evolution or modifications at metabolic branch points. The final set of biosensors demonstrated the ability to detect formaldehyde concentrations ranging approximately from 30 μM to 13 mM. We demonstrated the application of the biosensors by assaying the invivo activity of different methanol dehydrogenases in the most sensitive strain. The fully genomic nature of the biosensors allows them to be deployed as "plug-and-play" devices for high-throughput screenings of extensive enzyme libraries. The formaldehyde growth biosensors developed in this study hold significant promise for advancing the field of enzyme engineering, thereby supporting the establishment of a sustainable one-carbon bioeconomy.

Robot-based 6D bioprinting for soft tissue biomedical applications.

Within this interdisciplinary study, we demonstrate the applicability of a 6D printer for soft tissue engineering models. For this purpose, a special plant was constructed, combining the technical requirements for 6D printing with the biological necessities, especially for soft tissue. Therefore, a commercial 6D robot arm was combined with a sterilizable housing (including a high-efficiency particulate air (HEPA) filter and ultraviolet radiation (UVC) lamps) and a custom-made printhead and printbed. Both components allow cooling and heating, which is desirable for working with viable cells. In addition, a spraying unit was installed that allows the distribution of fine droplets of a liquid. Advanced geometries on uneven or angled surfaces can be created with the use of all six axes. Based on often used bioinks in the field of soft tissue engineering (gellan gum, collagen, and gelatin methacryloyl) with very different material properties, we could demonstrate the flexibility of the printing system. Furthermore, cell-containing constructs using primary human adipose-derived stem cells (ASCs) could be produced in an automated manner. In addition to cell survival, the ability to differentiate along the adipogenic lineage could also be demonstrated as a representative of soft tissue engineering.

Impact of Uniaxial Cyclic Stretching on Matrix-Associated Endothelial Cell Responses

Uniaxial cyclic stretching plays a pivotal role in the fields of tissue engineering and regenerative medicine influencing cell behaviors and functionality based on physical properties, including matrix morphology and mechanical stimuli. This study delves into the response of endothelial cells to uniaxial cyclic strain within the geometric constraints of micro-nano fibers. Various structural scaffolds forms of poly(L-lactide-co-caprolactone) (PLCL), such as flat membranes, randomly oriented fiber membranes, and aligned fiber membranes, were fabricated through solvent casting and electrospinning methods. Our investigation focuses on the morphological variation of endothelial cells under diverse geometric constraints, and the mechanical-dependent release of nitric oxide (NO) on oriented fibrous membranes. Our results indicate that while uniaxial cyclic stretching promotes endothelial cell spreading, the anisotropy of the matrix morphology remains the primary driving factor for cell alignment. Additionally, uniaxial cyclic stretching significantly enhances NO release, with a notably strengthening effect correlated to the increasing strain amplitude. Importantly, this study reveals that uniaxial cyclic stretching enhances the mRNA expression of key proteins, including talin, vinculin, rac, and nitric oxide synthase (eNOS).

Microstructural modification and enhanced mechanical properties in Zr50-Ti50 alloy via low temperature electron wind force annealing

This study investigates the microstructural transformations and associated property enhancements in a Zr50-Ti50 alloy annealed at only 120 °C with low duty cycle current pulses. Microanalysis with electron backscatter diffraction (EBSD) and X-ray diffraction (XRD) show the formation of alpha lath structure, typically observed in much higher thermal annealing temperatures. EBSD and XRD analyses revealed the formation and/or growth of the lath structure, with notable changes in pole distributions and the appearance of a distinct peak at 52.5° in the XRD spectrum. The lath structure is quantified using FiJi weka segmentation machine learning technique. Nanoindentation data showed an increase in the average hardness from ~7 to ~8 GPa and a corresponding increment in the reduced modulus from 127 to 148 GPa. The observed increase in low-angle grain boundaries (LAGBs) from 4% to 12% further complements the findings, suggesting a complex interplay of microstructural features contributing to the overall improvement in the mechanical properties. The proposed low temperature annealing technique demonstrates the predominant role of the electron wind force for tailoring the microstructure and mechanical performance of ZrTi alloys, providing insights that could have implications for the broader field of materials engineering.

Preface

Abstract In order to bring in the latest progress in theory, technology and application in the fields of electrical engineering and information technology at home and abroad in recent years, and show the latest research achievements, 2024 3rd International Conference on Electrical, Control and Information Technology (ECITech 2024) was held from January 19th to 21st, 2024 in Xiamen, China via virtual form. It was attended by about 120 participants from different countries and regions. At this conference we had a comprehensive overview of this fascinating field and of future scenarios thanks to the participation of distinguished delegates around the globe, including Prof. Hamid Reza Karimi (Politecnico di Milano, Italy), Prof. Mouquan Shen (Nanjing Tech University, China), Assoc. Prof. Jamaludin Jalani (Universiti Tun Hussein Onn Malaysia, Malaysia), and Assoc. Prof. Wenfeng Hu (Central South University, China). The experts performed wonderful keynote speeches, and the participants raised questions based on the speeches and interacted with the speakers and people around, leading to a heated discussion on the latest research findings and trends in related fields. As one of the important outcomes of ECITech 2024, this proceedings contains excellent academic contributions from all over the world, demonstrating the latest research results and innovative ideas in this field. These papers not only cover theoretical explorations of electrical, control and information technology, but also numerous practical application cases, which provide us with valuable experiences and insights. In this collection of papers, the authors, with profound academic background and keen insight, have discussed the hot issues in the field of electrical, control and information technology in depth. They have systematically analyzed and elaborated on the latest advances in electrical engineering, innovative applications of control theory, and the integration and development of information technology from different perspectives and at different levels. These papers not only enrich our understanding of the field, but also provide new ideas and directions for future research. We would like to thank all the experts, scholars and authors who participated in this conference for their hard work and excellent contributions, which made this conference a complete success and the publication of the proceedings. At the same time, we would also like to thank all the guests and attendees, whose enthusiastic participation and active support have made this conference a real academic feast. Finally, we sincerely hope that this proceedings will bring inspiration and harvest to the readers, and we also look forward to exploring more mysteries and possibilities in the field of electrical, control and information technology with you in the future academic exchanges and cooperation. The Committee of ECITech 2024 List of Committee Member is available in this Pdf.

Investigating the synergistic performance of masonry buildings with steel slabs in structural Design: A case of historical Mahmut Nedim Kurkcuoglu mansion in Turkey

The main aim of this study is to explore the collaborative performance of masonry structures incorporating steel slabs in their structural design. The focal point of the investigation is the historically significant Mahmut Nedim Kurkcuoglu Mansion located in Urfa, Turkey, renowned for its cultural heritage. The research methodology encompasses a comprehensive analysis of the mansion’s structural design, utilizing both numerical modeling and experimental testing. The findings of the study reveal that integrating steel beams into slabs within the structural design of masonry buildings can exert a significant influence on overall structural performance. This integration contributes to the heightened safety and durability of the structure. The results underscore the importance of accounting for the historical and cultural value of heritage buildings when implementing structural modifications. In terms of methodology, the research adds value to the field of structural engineering by offering insights into the incorporation of steel beams in the design of masonry structures. Moreover, it emphasizes the significance of preserving cultural heritage sites through sustainable and innovative engineering solutions. The study not only enriches the understanding of structural engineering but also holds practical implications for professionals such as architects, engineers, and preservationists engaged in the design and maintenance of heritage buildings. In conclusion, this research significantly contributes to the realms of both structural engineering and heritage preservation. Its implications extend to practical applications and can serve as a foundational platform for further exploration and investigation in this interdisciplinary domain.

Graph Neural Networks-based hybrid framework for predicting particle crushing strength

Graph Neural Networks have emerged as an effective machine learning tool for multi-disciplinary tasks such as pharmaceutical molecule classification and chemical reaction prediction, because they can model non-euclidean relationships between different entities. Particle crushing, as a significant field of civil engineering, describes the breakage of granular materials caused by the breakage of particle fragment bonds under the modeling of numerical simulations, which motivates us to characterize the mechanical behaviors of particle crushing through the connectivity of particle fragments with Graph Neural Networks (GNNs). However, there lacks an open-source large-scale particle crushing dataset for research due to the expensive costs of laboratory tests or numerical simulations. Therefore, we firstly generate a dataset with 45,000 numerical simulations and 900 particle types to facilitate the research progress of machine learning for particle crushing. Secondly, we devise a hybrid framework based on GNNs to predict particle crushing strength in a particle fragment view with the advances of state-of-the-art GNNs. Finally, we compare our hybrid framework against traditional machine learning methods and the plain MLP to verify its effectiveness. The usefulness of different features is further discussed through the gradient attribution explanation w.r.t the predictions. Our data and code are released at https://github.com/doujiang-zheng/GNN-For-Particle-Crushing.

Impact of uniaxial cyclic stretching on matrix-associated endothelial cell responses

Uniaxial cyclic stretching plays a pivotal role in the fields of tissue engineering and regenerative medicine, influencing cell behaviors and functionality based on physical properties, including matrix morphology and mechanical stimuli. This study delves into the response of endothelial cells to uniaxial cyclic strain within the geometric constraints of micro-nano fibers. Various structural scaffold forms of poly(l-lactide-co-caprolactone) (PLCL), such as flat membranes, randomly oriented fiber membranes, and aligned fiber membranes, were fabricated through solvent casting and electrospinning methods. Our investigation focuses on the morphological variation of endothelial cells under diverse geometric constraints and the mechanical-dependent release of nitric oxide (NO) on oriented fibrous membranes. Our results indicate that while uniaxial cyclic stretching promotes endothelial cell spreading, the anisotropy of the matrix morphology remains the primary driving factor for cell alignment. Additionally, uniaxial cyclic stretching significantly enhances NO release, with a notably stronger effect correlated to the increasing strain amplitude. Importantly, this study reveals that uniaxial cyclic stretching enhances the mRNA expression of key proteins, including talin, vinculin, rac, and nitric oxide synthase (eNOS).

Hyaluronic acid hybrid formulations optimised for 3D printing of nerve conduits and the delivery of the novel neurotrophic-like compound tyrosol to enhance peripheral nerve regeneration via Schwann cell proliferation

Peripheral nerve injuries, predominantly affecting individuals aged 20–40, pose significant healthcare challenges, with current surgical methods often failing to achieve complete functional recovery. This study focuses on the development of 3D printed hydrogel nerve conduits using modified hyaluronic acid (HA) for potentially enhancing peripheral nerve regeneration. Hyaluronic acid was chemically altered with cysteamine HCl and methacrylic anhydride to create thiolated HA (HA-SH) and methacrylated HA (HA-MA), achieving a modification degree of approximately 20 %. This modification was crucial to maintain the receptor interaction of HA. The modified HA was rigorously tested to ensure cytocompatibility in neuronal and glial cell lines. Subsequently, various 3D printed HA formulations were evaluated, focusing on improving HA’s inherent mechanical weaknesses. These formulations were assessed for cytotoxicity through direct contact and elution extract testing, confirming their safety over a 24-hour period. Among the neurotrophic compounds tested, Tyrosol emerged as the most effective in promoting Schwann cell proliferation in vitro. The 3D printed HA system demonstrated proficiency in loading and releasing Tyrosol at physiological pH. The findings from this research highlight the promising role of 3D printed HA and Tyrosol in the field of nerve tissue engineering, offering a novel approach to peripheral nerve regeneration.

Study of rock-breaking performance of V-axe-shaped PDC cutter in tight sandstone formation

In the field of oil and gas drilling engineering, tight sandstone strata are one of the strata that are difficult to drill. The V-axe-shaped cutter has a good effect in crushing tight sandstone strata. However, there were few studies on its specific structural parameters and rock-breaking performance in tight sandstone formations. To further explore its structural parameters and rock-breaking performance, this paper studies the rock-breaking performance of a V-axe-shaped PDC cutter in tight sandstone formation by combining experiments with finite element simulation. Mechanical tests show that the compressive strength is high, with values of 130.3 MPa, 223.3 MPa, and 271.6 MPa under confining pressures of 0/15/30 (MPa), respectively, with the condition of 0.02 mm/min loading rate. Rock lithology tests that the sandstone in this formation has strong abrasiveness. The penetration ability should be considered when evaluating the rock-breaking performance of cutting cutters. The results show that the V-axe-shaped PDC cutter mainly uses shear, extrusion, and point load to break rock together. It has a stronger ability and stability to attack the rock. With a 100° V-shaped angle (α) and 140° Axe-shaped angle(β) has the best rock-breaking property. The back-rake angle of the cutter can reduce cutter vibration and significantly improve PDC bit rock-breaking efficiency. The optimal rock-breaking back-rake angle of the V-axe-shaped cutter is 20° in dense sandstone formations. With the increase of wear height(0–3 mm), the synthetical mechanical specific energy (MSE) is reduced by 11.53%, 6.30%, 10.30%, and 33.28%, respectively, compared with the conventional cutter. The tests indicate that the rock-breaking efficiency of the V-axe-shaped PDC cutter is 12.9% higher than that of the conventional PDC cutter. The application of V-axe-shaped cutters on the bit is expected to improve the rock-breaking efficiency and footage of PDC bit in tight sandstone formations and realize the development of low-cost and high-benefit oil and gas resources.

Laboratory Testing and Numerical Modeling of Creep Behavior of HDPE Geomembranes under Multistage Loading

Abstract Geomembranes are essential impermeable materials commonly employed in the fields of hydraulic engineering and geoenvironmental engineering. However, their long-term operation may result in significant creep deformation, particularly under high loads. This paper mainly presents the effect of loading mode on the creep characteristics of high-density polyethylene (HDPE) geomembranes. A series of creep tests of geomembranes under multistage loading were conducted and compared with single loading creep tests. Under multistage loading, creep strain increased in a step-like manner. When the cumulative load level is lower than 50 %, the creep of geomembranes can attain a stable state. When the cumulative load level attains 60 %, the creep may enter a constant-rate creep stage. Compared with single loading creep, the creep under multistage loading attained a stable state earlier for a relatively low load level, and the deformations were smaller. The creep strain rate was significantly reduced at a constant-rate creep stage for a relatively high load level. The multistage loading was beneficial to the creep deformation control of geomembranes. Furthermore, an enhanced creep model was proposed to describe the creep behavior under multistage loading, including the stable state and constant-rate creep stage. The predictions were in good agreement with the experimental data.

Ion-induced electrospinning of hierarchical spiderweb-like bioscaffolds

Tissue engineered scaffolds need to possess various functionalities, including biocompatibility, mechanical support, bioactivity, and vascularization. The design and fabrication of bioscaffolds to attain mutual coordination among these functionalities with minimal processing complexity are a highly challenging but rewarding task. In this study, a simple, effective one-step electrospinning method was developed to fabricate hierarchical spiderweb-like bioscaffolds that achieve both superior biological and mechanical functionalities. By incorporating ionic drugs of deferoxamine mesylate and lithium chloride, the spiderweb-inspired structures with adjustable coverages (up to 100 %) were successfully created, imparting the fibrous bioscaffolds with remarkable tensile strengths (∼88.28 MPa). The strengthening mechanisms endowed by the spiderweb structure in optimizing stress distribution to delay damage and enhance load-bearing ability were elucidated through finite element simulations. Furthermore, this hierarchical spiderweb-like bioscaffold demonstrated favorable biological characteristics, including biocompatibility, osteogenesis, angiogenesis, and hemostasis. The presence of the nano-spiderweb structures significantly improved cell adhesion and differentiation on the scaffold and increased the spreading area of cells by 2–3 times. The dual-drug loaded bioscaffolds with full coverages of the spiderweb structure exhibited the least amount of bleeding (45.33 ± 27.47 mg) and the fastest hemostasis speed (82 ± 8.19 s) in the hemostasis test, compared to the control group. Overall, the outstanding performance makes the developed bioscaffolds a promising alternative for tissue repair and regeneration in the field of tissue engineering.