Theoretical Design Research Articles

Investigating the Transition Upgrading Paths of Manufacturing Enterprises From an Energy Source Perspective

As the manufacturing industry is the foundation of the national economy, many countries have made concerted efforts to promote the transition upgrading of manufacturing enterprises from political, industrial, and academic circles. This study employed content analysis to explore the transition upgrading factors for manufacturing enterprises from an energy source perspective. With the help of FsQCA (Fuzzy-sets qualitative comparative analysis), which can mine multivariate combination relationships using a small number of samples, this study quantitatively calculated the transition paths and energy source combinations of manufacturing enterprises. Three transition upgrading paths were proposed, including an innovation-oriented path, a business-oriented path, and an efficiency-oriented path. The results indicate that manufacturing enterprises can realize transition upgrading based on three key methods, including innovation resources and innovation activities, strategic layout, and production operation + network relationship (peripheral). Such a finding validated the rationality of the theoretical path design and improved the research depth and precision. Multiple case analyses of Huawei, Haier, and Lenovo reveal that manufacturing enterprises used three ways to promote transition upgrading: the joint action of innovation activities and innovation resources; the uni-directional causal effect of strategic layout adjustment to increase market value; and the coordination and matching role of network relations dominated by production and operation. We conclude that this study provides an effective decision-making basis and management reference for manufacturing enterprises, so that enterprises can choose an appropriate energy accumulation method and scientifically realize the transition upgrading.

A Folsom Foreshaft from the Blackwater Draw Site

AbstractThis article describes a bison rib bone foreshaft from the Blackwater Draw site, New Mexico. The object was recovered by James Hester in 1963, during the excavation of locality 4, and it was subsequently cataloged as a modified bone tool but not recognized as a hafting element. It is currently held in the Blackwater Draw Museum collections. This analysis provides a detailed description of the artifact's features and establishes its provenience from a Folsom context. A survey of known Paleoindigenous hafting implements and a discussion of theoretical Folsom foreshaft designs serve to reinforce the classification of the tool as a component of the Folsom weapon delivery system. The tool was likely broken during use and later recycled as a pressure flaker or as a polishing instrument. With the help of 3D imagery, a reconstructed model was printed and fitted with large and small Folsom points to test ideas borrowed from the theoretical literature on Folsom foreshaft design.

Wipe it off: A meta-analytic review of the psychological consequences and antecedents of physical cleansing.

Physical cleansing is a human universal. It serves health and survival functions. It also carries rich psychological meanings that interest scholars across disciplines. What psychological effects result from cleansing? What psychological states trigger cleansing? The present meta-analysis takes stock of all experimental studies examining the psychological consequences and antecedents of cleansing-related thoughts, feelings, and behaviors (e.g., feeling less guilty after cleansing; spontaneously cleansing oneself after thinking of unwelcomed sexual encounter). It includes 129 records, 230 experiments, and 551 effects from 42,793 participants. Effect sizes were synthesized in random-effects models using robust variance estimates with small-sample corrections, supplemented by other techniques. Outliers were excluded using leave-one-out diagnostics and sensitivity analysis. Publication bias was assessed and corrected for using eight methods. Theoretical, methodological, sample, and report moderators were coded. After excluding outliers, without bias correction, the synthesized effect size estimate was g = 0.315, 95% CI [0.277, 0.354]. Using various bias correction methods, the estimate ranged from g = 0.103 to 0.331 and always exhibited considerable heterogeneity. Effect sizes were especially large for behavioral measures and varied significantly between sample types, sample regions, and report types. Meanwhile, effects were domain-general (observed in the moral domain and beyond), bidirectional (physical cleansing ↔ psychological variables), and robust across theoretical types, manipulation operationalizations, and study designs. Limitations included mixed replicability, suboptimal methodological rigor, and restricted sample diversity. We recommend future studies to (a) incorporate power analysis, preregistration, and replication; (b) investigate generalizability across samples; (c) strengthen discriminant validity; and (d) test competing theoretical accounts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Investigation of the spreading of a liquid metal droplet under a vertical magnetic field

In the liquid metal divertor of a magnetic confinement fusion device, the spreading characteristics of the liquid metal are crucial for ensuring the stable operation of the divertor. This study has experimentally investigated the spreading characteristics of a GaInSn alloy droplet on a solid substrate under a strong vertical magnetic field, with the magnetic field intensity ranging from 0 to 2.5 T. First, several parameters of the droplet, such as droplet shape, spreading factor, dynamic contact angle, spreading velocity, and rebound behavior after impacting, were studied without a magnetic field. The fitting relationship between maximum spreading factor βmax and Weber number We was obtained and has been compared with the scaling laws from the literature. Furthermore, the effect of the vertical magnetic field on those parameters has been investigated systematically. Quantitative results on βmax and the maximum spreading time tDmax, varied with the Hartmann number (Ha) and the We number, provide a comprehensive understanding of the spreading dynamics. The specific relationship between βmax and We number under different magnetic field intensities (B) shows that a vertical magnetic field has a great inhibiting effect on liquid metal droplet spreading. Finally, the influence of oxidation on droplet spreading characteristics also has been studied. These basic findings are important for the application of liquid metal on a divertor/limiter in a fusion reactor, offering a theoretical reference engineering design.

Torsional strength design method and cost analysis of FRP bars reinforced ECC beams without stirrups

Fiber reinforced plastic (FRP) bars reinforced engineered cementitious composites (ECC) beams without stirrups own excellent torsional performance and good application prospect. However, the corresponding torsional strength design method is not available. In order to predict the torsional strength of the ECC beams, a theoretical design method is established in this research. The proposed design method is based on the variable-angle space truss (VAST) model, and the tensile resistance supplied by fibers is carefully considered. The established design method is verified through the experimental results. It can be found that the predicted values agree well with the experimental values. A parametric analysis is carried out. Ultimate torque (i.e., torsional strength) increases significantly with the increment of ECC strength grade or longitudinal reinforcement ratio. However, at the same cross-section area, ultimate torque decreases slightly with the increment of height/width ratio. In addition, the cost effectiveness of the ECC beams without stirrups is discussed. Compared with mortar beam with a stirrup reinforcement ratio of 0.7%, FRP bars reinforced ECC beams without stirrups have small cost/ultimate torque ratio (a reduction ratio of 39.14%–60.86%), indicating that the ECC beams without stirrups own satisfactory cost effectiveness. This study will provide a torsional strength design guideline for FRP bars reinforced ECC beams without stirrups.

Parametric control of quasi-zero stiffness mechanisms for vibration isolation at near-zero frequencies

Infra-frequency vibration, including near-zero frequencies, has become a critical limiting factor for developers of next-generation ultra-high precision measurement systems. Mechanisms involving quasi-zero stiffness show potential to solve this new vibration problem. An approach for designing a novel type of the mechanisms for this class is presented. An algorithm is developed and tested for numerical solution of nonlinear elasticity problem in designing the mechanism structural and parametric elements based on FEM models. The elements are spatially prestressed multi-layer designs of polymer composites for modeling elastic postbuckling in large and the effect of a “floating” binder. An algorithm and models following the Nelder-Mead method are used for optimizing the designs. Examples of Euler-beam-shaped composite elements under postbuckling demonstrate a qualitative leap in mechanisms design and efficiency, specifically, in terms of compactness, lightness, and strength. A dramatically expanded control range for the linear section of operating travel with quasi-zero stiffness is obtained. A damping threshold is evaluated, and an optimal type diagram of the mechanism is designed and enumerated as necessary conditions for vibration isolation at near-zero frequencies. The validity and effectiveness of the approach are demonstrated with the results of theoretical design and testing of the prototype for vibration isolation of the ultra-high precision optical system. The learning capability of the mechanisms is estimated by an adapted version of the Levenberg-Marquardt algorithm with stepwise refinement in the test mode using Rosenbrock’s function.

Principles of salutogenic architecture design

Growing chronic diseases among city dwellers, rapidly spreading epidemics due to increased mobility lifestyles, and the consequences of forced isolation in response to the recent global pandemic command the attention of researchers in various fields of knowledge to the modeling of a salutogenic habitat in modern cities. The aim of this study is to identify the principles of architecture that contributes to human health and general well-being. In particular, the study seeks to develop a theoretical model of salutogenic architecture; review domestic and international theoretical studies and design developments devoted to various aspects of salutogenic architecture and of salutogenesis; and analyze techniques of form generation, functional planning and environmental organization of architecture, especially residential complexes and urban clusters that meet the criteria of salutogenesis. The following principles have been identified: balance, symbiosis and hybridization, variation and integration, transformation, stimulation and discharge, meaningfulness and manifestation, controllability and autonomy. The identified principles and techniques allow the design process and search for architectural form for residential urban clusters to be appropriately adjusted to achieve a salutogenic built environment.

Theoretical design of novel fluorophores for near-infrared fluorescent probes of peroxynitrite

On the basis of the experimentally reported near-infrared (NIR) fluorescent probe for peroxynitrite anions (ONOO–) DDAO-PN (DDAO = 1,3-dichloro-7-oxygen-9,9-dimethyl-2(9H)-acridinone, PN = 4- methylene benzeneboronic acid pinacol ester, DDAO-PN connecting 7-oxygen of DDAO with 4- methylene of PN), six DDAO derivatives DDAO-Px (x = 1–6) were designed. The fluorescence response mechanism and characteristics of the DDAO-PN probe to ONOO– were explored and the molecular structures, molecular orbital, and electron transfer during excitation and emission in DDAO-PN and DDAO-Px (x = 1–6) were comparatively analyzed in detail through the density functional theory (DFT) and time-dependent DFT calculations. The significant intramolecular charge transfer (ICT) effect in DDAO-PN were found to be released when PN (as the recognition domain of ONOO– in the recognition process) was removed, rendering DDAO-PN being an effective “off-on” NIR ONOO– fluorescent probe. The introduction of different electron-donating/accepting substituents in DDAO-Px significantly changed the electronic structures and thus the fluorescent properties, which finally modified the probe efficiency. This work clarifies the structure-property relationship in DDAO-Px type NIR probes and thus provides theoretical guidance for designing new NIR fluorescent probe.

A perspective on deep-ultraviolet nonlinear optical materials

Deep ultraviolet (DUV) nonlinear optical (NLO) crystals have important applications in lithography, microfabrication, and high-resolution photoelectric spectrometer. In recent years, significant progress has been made in both the theoretical design and experimental research of DUV NLO crystals. This review aims to offer a comprehensive perspective on exploring a new generation of DUV NLO materials. First, we summarize various computer-aided strategies for crystal structure design and emphasize their significant role in advancing the discovery of DUV NLO materials. Then, we outline several representative DUV crystals of experimental synthesis. Finally, we discuss the future prospects for exploring new generations of DUV NLO materials. We believe that employing data-driven, computer-aided methods to explore DUV NLO materials will help address the current challenges in the field of DUV NLO materials research. The close integration of calculation and experimentation will unlock new opportunities.

Tunable electronic and optical properties of BAs/WTe2 heterostructure for theoretical photoelectric device design

The geometric structure of the BAs/WTe2 heterojunction was scrutinized by employing ab initio calculations grounded on density functional theory. Multiple configurations are constructed to determine the equilibrium state of the heterojunction with optimal stability. The results show that the H1-type heterojunction with interlayer distance of 3.92 Å exhibits exceptional stability and showcases a conventional Type-II band alignment, accompanied by a direct band gap measuring 0.33 eV. By applying external electric field and introducing strain, one can efficaciously modulate both the band gap and the quantity of charge transfer in the heterojunction, accompanied by the transition of band alignment from Type-II to Type-I, which makes it expected to achieve broader applications in light-emitting diodes, laser detectors and other fields. Ultimately, the heterojunction undergoes a transformation from a semiconducting to a metallic state. Furthermore, the outstanding optical characteristics inherent to each of the two monolayers are preserved, the BAs/WTe2 heterojunction also serves to enhance the absorption coefficient and spectral range of the material, particularly within the ultraviolet spectrum. It merits emphasis that the optical properties of the BAs/WTe2 heterojunction are capable of modification through the imposition of external electric fields and mechanical strains, which will expand its applicability and potential for future progression within the domains of nanodevices and optoelectronic apparatus.

Exploring an AI-Based Algorithmic Framework for Ethical Decision-Making in Human Resource Management Procedures

In today’s dynamic and rapidly evolving workplace environments, ensuring ethical decision-making in Human Resource Management (HRM) procedures is crucial for organizational success and employee well-being. This research paper delves into the exploration of an innovative AI-based algorithmic framework designed to facilitate ethical decision-making processes within HRM contexts. Traditional approaches to ethical decision-making often rely on subjective judgement and are susceptible to biases, leading to inconsistent outcomes and potential ethical dilemmas. Leveraging the capabilities of artificial intelligence (AI), this framework integrates ethical principles, organizational values, and legal regulations into a structured algorithmic model. The proposed framework consists of several key components, including data collection and analysis, algorithm development, and decision support mechanisms. By harnessing AI technologies such as machine learning and natural language processing, the framework aims to enhance the objectivity, transparency, and consistency of ethical decision-making in HRM procedures. Moreover, the framework incorporates dynamic learning capabilities, allowing it to adapt and evolve based on feedback and real-world experiences. Through iterative refinement and continuous improvement, the algorithmic framework strives to address emerging ethical challenges and complexities in HRM practices. This research paper presents a comprehensive overview of the theoretical foundations, design principles, and implementation strategies of the AI-based algorithmic framework. Drawing on interdisciplinary insights from ethics, psychology, and computer science, the paper elucidates the potential benefits and implications of adopting such a framework in organizational contexts. Furthermore, the paper discusses potential ethical considerations and challenges associated with the deployment of AI technologies in HRM decision-making processes.

Theoretical design of bifunctional single-atom catalyst over g-C2N2 for oxygen evolution and reduction reactions

The two-dimensional graphitic carbon nitride (g-CxNy) is a promising support for electrochemistry catalysts owing to its stability and controllable chemical composition. Here, by density functional theory (DFT) a serial of transition metal single-atom catalysts (SAC) supported on the g-C2N2 with vacancy (denoted as TM1/C2N2, TM=Mn, Fe, Co, Ni, Cu, Ru, Rh, Pd, Ir and Pt) were studied for oxygen evolution reaction (OER) and oxygen reduction reaction (ORR). The non-noble Ni and Co single atom exhibited relatively strong binding energies over the defective g-C2N2 support. The d-band center of TM performed a good descriptor for adsorption free energies of intermediates. For OER, the overpotential of non-noble Co1/C2N2 was as low as 0.30 V, comparable to Rh1/C2N2. For ORR, both Co1/C2N2 and Rh1/C2N2 displayed excellent performance with overpotentials of around 0.50 V. The volcano plot revealed that the proper binding strength of O* and OH* on Co1/C2N2 rendered it an excellent bifunctional catalyst for both OER and ORR. Considering the superior performance of Co SAC over g-C2N2 than not only g-C3N4 but also defective graphene, we postulate that there could exist an optimized C/N ratio of carbon-rich g-CxNy support for improving the non-noble Co SAC activity on oxygen electrode.

Dual-stage theoretical model of magnetorheological dampers and experimental verification

The theoretical model for predicting the damping characteristics of magnetorheological dampers (MRDs) not only facilitates the optimization of MRD parameters, but also provides assistance for the theoretical design of MRDs. However, some existing models have limitations in fully characterizing the damping characteristics of MRDs. In this paper, the working stage of MRDs was categorized into yield and pre-yield stages based on whether the internal magnetorheological fluid attains the dynamic shear yield state or not, and the Herschel–Bulkley model with pre-yield viscosity (HBPV) and improved polynomial model (IPOL) were employed to respectively characterize the yield and pre-yield stages of MRDs. Subsequently, the HBPV-IPOL model was proposed to characterize the complete damping characteristics of MRDs in low-frequency vibration conditions, with considering the local loss effect of the fluid in the model. To accurately characterize the magnetic induction intensity in the MRD damping channel, employing the steady-state finite element method for magnetic field analysis; on this basis, dividing the damping channel to investigate the variation trends of the magnetic induction intensity in different regions. Simultaneously, the zero-field region hypothesis was proposed to quantitatively consider the influence of minute magnetic induction intensity in the traditional zero-field regions on the damping characteristics of MRDs. Finally, integrating the impact trends of currents in different regions, and employing the HBPV model to determine the impact magnitude of each region within the damping channel on the damping characteristics of the MRD in the yield stage. In the pre-yield stage, polynomial curves were fitted to experimental damping force–velocity curves, and the obtained polynomials were employed to predict the damping characteristics. Extensive experiments have been conducted on MRD samples to assess the predictive performance of the model on MRD damping characteristics under sinusoidal displacement excitation vibration conditions with different excitation currents, vibration frequencies and vibration amplitudes.

Potential of Brousseau’s guessing game in teacher education: two complementary cases

This paper reports the results of a didactic engineering proposal for statistical modelling and inquiry in the context of teacher education. The tasks and situations we focus on are related to Brousseau’s guessing game, which was originally proposed for the teaching of probability and randomness to primary school students. In this paper, we describe two different didactic engineering designs based on the guessing game, which were independently managed by two different research teams in the context of pre-service teacher education. One of them is aimed at primary school teachers in Spain, and the other at secondary school teachers in Japan. The theoretical tools and design principles employed come from the anthropological theory of the didactic, especially praxeologies and study and research paths. The description and comparison of the two cases reveal the potential of the guessing game for the teaching of statistics in teacher education, as well as the limitations of the dominant epistemological models in statistics, for researchers and educators when planning to work on statistics education.

Enhancing emergency medical response through IoT: A focus on security and privacy

The healthcare industry is globally crucial. With an increasing demand for quality services, there is a need for innovative technologies like the Internet of Things (IoT) to enhance rapid and effective emergency response. This research explores IoT applications in emergency healthcare response, focusing on theoretical frameworks and design principles. It investigates the integration of IoT technologies into these systems while prioritising data security and privacy without relying on experimental data. The study offers innovative ideas for future research, highlighting the significance of addressing privacy and ethics in healthcare IoT usage. It emphasises protecting sensitive health data and promoting responsible IoT implementation in emergency healthcare settings. In conclusion, the study affirms the potential of IoT in enhancing emergency healthcare responses while emphasising the necessity of addressing privacy and ethical concerns within healthcare applications of these technologies. This research seeks to contribute to the ongoing development of IoT in healthcare by emphasising the importance of safeguarding patient information and ensuring that ethical considerations are at the forefront of implementation efforts.

Effect of carbon nanotubes content on compressive properties and deformation behaviors of aluminum matrix composite foams

The incorporation of nano carbon reinforcement is a useful strategy to broaden the engineering applications of metal foams. In this work, carbon nanotubes (CNTs) reinforced aluminum (Al) matrix composite foams (CNTs/Al composite foams) with different CNTs content are prepared by combining ball-milling technique with powder metallurgy method. The result shows that the appropriate content of CNTs can reduce the pore size, improve the circularity, and enhance the compressive properties. Especially, the 1.0 wt% CNTs/Al composite foams possess the optimal compressive properties of yield stress (7.90 MPa), plateau stress (8.75 MPa) and energy absorption capacity (5.19 MJ/m3), which have an enhancement of 23.24%, 98.41% and 84.70%, respectively. Composite foams undergo shear deformation throughout the quasi-static compression process, and the failure mode performs as the brittle mode combined with ductile mode. Meanwhile, the incorporation of CNTs can contribute to the inhomogeneous distribution of the Si phase, provide more nucleation sites, and significantly refine the pore size. It is confirmed that the CNTs in composite foams contribute the grain refinement and the formation of micro stacking faults, making the mechanical properties of CNTs/Al composite foams outperform the counterpart of Al-Si foams. Moreover, due to the weak interfacial reaction, the low content of aluminum carbide is formed, which can promote the load transfer between CNTs and Al. The present finding provides a theoretical and practical design strategy to the future preparation of CNTs/Al composite foams.

Modeling and control design for half electric vehicle with wheel BLDC actuator and Pacejka's tire

We are considering the problem of controlling the longitudinal motion of half-vehicle electric vehicle (EV) or hybrid electric vehicle (HEV). A substantial part of the problem lies in the modeling of the controlled system dynamics, including those of: (i) the half-vehicle chassis motion; (ii) the actuator constituted of a brushless direct-current (BLDC), as an in-wheel motor, along with the associated voltage inverter; (iii) the tire. The dynamics of the latter are presently captured by Pacejka's model which is known to be more most accurate as it accounts for the various phenomena generated at the contact tire/road. The whole system model also takes into account other nonlinear effects, e.g., including the road load, the rolling resistance and the aerodynamic effects. Compared to those used in existing comparable works, the system model developed in this study is much more accurate. But it is also more complex, because it is of higher dimension and stronger nonlinearity, increasing substantially the complexity of the control design problem. The control objectives include tight regulation of the vehicle's speed in the various driving modes and safety of the on-board passengers. These objectives are technically reformulated in terms of reference trajectories, to be matched by the vehicle speeds despite unpredictable variations in aerodynamic forces and road parameters. This challenging control problem is dealt by developing a cascade-structure adaptive controller. The cascade structure is resorted to make the compensation for speed dynamics and disturbances decoupled from those of torque dynamics. The adaptive nature is realized by using parameter estimators, providing the controller with the capacity of compensating the effect of parameter uncertainty. The various controller components are designed making use of several different theoretical design tools including the backstepping control method and Lyapunov stability method. In addition to theoretical analysis, the performances of the developed controller are highlighted by simulation results in the presence of varying aerodynamic forces, road slope and various road surfaces. Comparison with simpler controller is also performed.

Optimized Intermediates Adsorption Configuration on Co-Doped Fe2P@NiP2 Heterojunction Interface for Enhanced Electrocatalytic Nitrate-To-Ammonia Conversion.

The extraction of ammonia (NH3) through electrocatalytic nitrate reduction reaction (NO3 -RR) represents a sustainable avenue in NH3 generation and utilization. However, the catalytic efficiency of the NO3 -RR is hindered by the sluggish kinetics. This study first theoretically found that phosphide-based heterostructure can alter the adsorption structure of intermediates in the nitrate-to-ammonia process, thereby achieving precise regulation of the energy barrier in the rate-determining step. Based on theoretical design, a novel Co-doped Fe2P@NiP2 heterojunction catalyst is successfully synthesized, which deliver a notable NH3 yield rate of 0.395mmolh-1cm-2 at -0.7V versus RHE, as well as a remarkable ammonia Faraday efficiency of 97.2% at -0.6V versus RHE. Experimental and theoretical results further confirm that redistributing electrons and shifting the center of the d-band upwards through interfacial doping modulate intermediates adsorption strength and inhibition of hydrogen evolution, leading to excellent performance in NO3 --to-NH3. Further integrating the Co-Fe2P@NiP2 catalyst into a Zn-nitrate battery exhibits a substantial voltage output of 1.49V and a commendable power density of 13.2mWcm-2. The heteroatom-doped heterojunction strategy provides a versatile route for developing advanced catalysts, thereby broadening the horizons of electrocatalytic methodologies for nitrate reduction and ammonia synthesis.

Hermitian and non-hermitian higher-order topological states in mechanical metamaterials

Higher-order topological insulators exhibit clear hierarchical boundary states, providing an amazing platform for robust wave manipulations in mechanical or acoustic systems. Recently, this theory has been extended to non-Hermiticity-induced higher-order topology, which enables actively controllable topological transport. Nevertheless, most related studies focus on the non-Hermitian quadrupole topology, associated with the coexistence of negative and positive couplings to constitute a π-flux lattice, which hindered the realizations in classical wave systems. Here, we propose a novel tight-binding model without negative couplings, which supports non-Hermiticity-induced higher-order topological states. In the Hermitian case, the middle band gaps host the vanishing bulk polarization and the associated topology is dependent only upon the associated edge polarization. By introducing the external loss as non-Hermitian components, we reveal that therein the trivial structures can also host topological corner states, featured by the quantized nonzero edge polarizations in the biorthogonal basis. Furthermore, such a topological phase transition induced by non-Hermiticity can be realized for almost all of our lattices, except for the isotropic case where the middle band gaps never open. Basing on the theoretical design, we map the lattice models into the mechanical metamaterials to access the analogous higher-order topology in the elastic wave systems for both Hermitian and non-Hermitian physics. The simulated band structures match well with theoretical solutions. And the robust higher-order topological states are also identified. Our work paves the way to implement the non-Hermitian higher-order topology and offers the possibility for wave manipulations in non-Hermitian systems.

On the collapse stress of tubular enhanced anti-tetra-missing rib structure

In the contemporary landscape of engineering, escalating demands for advanced material and structural performance have brought metamaterials to the forefront. Among them, the enhanced anti-tetra-missing rib structure has gained prominence owing to its auxetic behavior under significant strain. However, the lack of research on its quasi-static and dynamic mechanical performance have hindered its practical application. To address this, we introduce the tubular enhanced anti-tetra-missing rib structure (TEATMRS) and derive its collapse stress expression under various conditions. Through extensive simulations and experiments, we explore its deformation mechanisms and assess the influence of the structural geometric parameters and impact velocity on collapse stress. The results demonstrate excellent agreement among theoretical description, numerical analysis, and experimental tests, establishing the feasibility of the proposed collapse stress expression. These findings provide a theoretical foundation and design guidance for TEATMRS in engineering applications.