Instability Behavior Research Articles

Tensile instability and limit strain behavior of explosion-welded steel/Al plate considering interface defect characteristics

Explosion-welded steel/Al composite plate has advantages of excellent conductivity, heat conductivity, light weight, and corrosion resistance. While the elongation of explosion-welded steel/Al composite plate can not been predicted by the traditional damage fracture theory. Establishing a new prediction model to analyze the deformation behavior of steel/Al composite plate are necessary. First, the deformation behavior and interface microscopic characteristics of explosion-welded steel/Al composite plate were analyzed using uniaxial tensile tests and SEM experiments, the result showed that wave structure, brittle phase, and microcrack existed at the interface layer of composite plate, the uniform elongation and elongation of steel/Al composite plates basically deviate linearly from the mixing law. Second, simulation models were established to analyze the effect of interface wave structure, brittle phase, and interface microcracks on the instability and fracture behavior of explosion-welded steel/Al composite plate. The interface wave structure could enhance the elongation of the composite plate, while the uniform elongation of the composite plate decreased with the increasing of brittle phase and microcrack. When f0 = 0.985, the predicted tensile strength through simulation is 258.94 MPa, which only has a difference of 1.9 MPa from the experimental value, when the length of the crack increases from 0.03 mm to 0.2 mm, the uniform elongation of the composite plate decreases by 92.52%. Finally, M−K theory considering the characteristics of interface defects was established to predict the tensile instability behavior of steel/Al composite plates. The instability behavior of the composite plate considering interface defects could be accurately described using the modified M−K theory when the height of the interface groove of the composite plate was Δta/Δts=ha/hs and Δta+Δts=0.5mm.

Experimental and Simulation Study of the Fracture Instability Behavior in Polypropylene Fiber-Reinforced Concrete.

This study investigated the fracture characteristics of plain concrete and polypropylene fiber-reinforced concrete (PFRC) using pre-notched three-point bending beam tests with the digital speckle correlation method (DSCM). Then, the fracture instability behavior of the two types of beams was simulated in finite elements based on the plastic damage model and the cohesion model, for which the applicability was assessed. Furthermore, the stability of the Big Gang Mountain Dam made from plain concrete or PFRC subjected to the earth-quake loading was simulated with the plastic damage model. The results show that the limiting length of the non-local deformation zone can be used as an indicator of instability damage in a concrete structure. The simulation results of the plastic damage model agreed well with the local deformation in the pre-notched three-point bending beam test obtained from the DSCM. The plastic damage model was found to be capable of describing the residual strength phenomenon, which the cohesive model was not capable of. The damage evolution regions of the PFRC dam are strictly constrained in some regions without the occurrence of the local deformation band across the dam, and PFRC can dramatically reduce the failure risk under earthquake loading. The numerical solution proves that PFRC is an advisable material for avoiding failure in concrete dams.

The effect of central gap and wind screens on the aeroelastic stability of long-span bridge decks: Comparison of numerical analyses and experimental results

As long-span bridges are usually built at exposed locations and high winds can cause disruptions to traffic, relatively tall wind screens are often used to protect vehicles which are prone to suffer from wind induced accidents. This paper presents the results of a series of two-dimensional discrete vortex method simulations of laminar incompressible flow past standard aerofoil mono-boxes and twin-boxes, conducted to investigate the aerodynamic impact of wind screens on bridge decks in relation to steady-state and divergent instability (classical flutter) behaviour. A comparison against the outcome of a series of parametric wind tunnel tests is also presented. The quality of the agreement between the numerical simulations and the observed experimental behaviour is such that designers, under certain conditions, could rely on computational bridge aerodynamics at feasibility or early design stages to identify potential instabilities and introduce mitigation measures aimed at optimizing the aerodynamic performance of the deck.

Slip instability behavior of block rock masses on dynamic-static combined loads

A rock mass is a system of various scale blocks embodied into one another. Inter-block layers are usually composed of weaker and fissured rocks. On the action of dynamic-static loads, it can induce slip instability between blocks. In this paper, the slip instability laws of block rock masses are studied. Based on theory and calculation analysis finding that the friction force between rock blocks varies with block vibration and the friction between rock blocks can drop sharply, resulting in slip instability. The critical thrust and occurrence time of block rock masses slip instability are proposed. The factors affecting block slipping instability are analyzed. This study has significance to the rock burst mechanism induced by slip instability of rock masses.

Investigation of cellularization characteristics of hydrogen-methane-ethanol expanding spherical flame at elevated pressures

The incorporation of ethanol into hydrocarbon fuels for use is attracting increasing interest and it is necessary to investigate its inherent flame instability for better application in combustion units. The instability of hydrogen-methane-ethanol spherically expanding flame has been investigated at an initial temperature of 400 K, initial pressures of (2–4 bar), ethanol fraction of (20%, 50%, 80%), and equivalence ratios (Ф) of (0.7–1.4) using the constant volume combustion chamber (CVCC). High-speed schlieren technology was used to record flame propagation images. The effects of hydrodynamic and thermal-diffusion effect on the inherent instability of the flame were investigated. As the ethanol ratio increased, the hydrodynamic effect was enhanced. The thermal-diffusion effect was discovered to stabilize the flame surface under all conditions, as judged jointly by the effective Lewis number and the critical Lewis number. The critical conditions (critical radius and Peclet number) at the onset of unstability were evaluated, and it was found that the flames were more prone to flame instability at higher pressures. The critical Peclet number increased with the increase in the equivalence ratio when the ethanol ratio was 20%, and showed the opposite trend when the ethanol ratio was 50% and 80%. In addition, as the ethanol ratio increases, the stability of the lean mixtures flame increases, while the rich mixtures flame suffers from early onset of instability. The theoretical and experimental results were consistent, with some differences at Ф = 1.4. An empirical correlation formula for the critical Peclet number (Pec) and Markstein number (Mb) was further proposed (Pec= 18.03Mb+214.78). Finally, the Karlovitz number was used to study the instability behavior of the flame. The critical Karlovitz number (Kac) decreased with increasing Mb and the tendency of the flame to suffer from instability diminished, and the following correlation was obtained Kac=0.05635×e−0.13852Mb. Furthermore, the flame was more unstable in rich mixtures, this was consistent with the conclusion of instability derived from the critical radius.

The effects of stress on interfacial properties and flatband voltage instability of 4H-SiC MOS structures

Strain engineering technology is expected to improve the poor SiO2/4H-SiC interface. The paper investigated the effects of curvature induced stress on interfacial properties and flatband voltage instability of 4H-SiC MOS capacitors. The slightest stress sample demonstrated the best calculation results and the superior properties in terms of interface state density, FN barrier, and effective near-interface traps density, which means the “stress free” or small compressive stress oxide film might be helpful for the realization of high performance of 4H-SiC MOS structures. The behavior of Vfb instability under various bias temperature stress and voltage stress at different durations was also studied. The more significant compressive/tensile stress led to worse reliability at high temperatures, which was caused by the combined effect of mobile ions and charge trapping. The trapping and de-trapping time constants of interface and oxide traps were calculated to clarify the relationship between temperature and Vfb instability. Moreover, the results of the measured Raman shift of the SiC bond implied that stresses tend to be unanimous in the subsequent processes while the influences on interfacial properties and Vfb instability still exist. These results are considered necessary for strain engineering technology, which is expected to lower the interface states density in SiO2/4H-SiC interface and reach the optimal performances of 4H–SiC.

Collapse risk of steel framed buildings with deep columns under tri-directional excitation

Deep steel columns are widely used in steel buildings with perimeter moment frames (PMFs). Although their seismic behavior has been well examined at the member level, their influence on frame collapse response requires further exploration, especially their interaction with composite slabs, gravity frames, and ground motion components. To address this shortcoming, the collapse risk assessment of a set of steel buildings with PMFs and deep columns is performed via two modeling approaches: the conventional planar frame and the sophisticated space frame. The models are capable of capturing the instability, fracture, and collapse behavior in frame systems. The simulation results show that each additional ground motion component applied promotes the development of collapse mechanisms and significantly increases collapse probability, and that composite slabs combined with gravity frames greatly improve collapse capacity despite introducing additional local failures. Moreover, limiting slenderness ratios and controlling local buckling of deep columns is essential to prevent frames from vertical progressive collapse (VPC) and ensure sufficient collapse resistance. The available highly ductile limits (HDLs) are accordingly critiqued and revised. Due to the large discrepancies in the collapse risks determined by the two approaches, space frame modeling is suggested to accurately assess the collapse capacity of steel PMFs involving deep columns.

Static and dynamic instability of functionally graded graphene origami-enabled auxetic metamaterial beams with variable thickness in fluid

Functionally graded (FG) graphene origami (GOri)-enabled auxetic metamaterial (GOEAM) structures have shown great potential for various engineering applications due to their exceptional mechanical and physical properties such as high strength-to-weight ratio, tuneable stiffness and strength, and negative Poisson's ratio (NPR). This paper aims to investigate the buckling and dynamic instability behaviours of FG-GOEAM beams with variable thickness immersed in a fluid, with a particular focus on the influence of NPR. The material properties such as Young's modulus and Poisson's ratio of the GOEAM are determined by using a genetic programming (GP)-based micromechanics model. Within the framework of the first-order shear deformation theory and by employing Hamilton's principle and modelling the fluid effect as added mass, the governing equations of motion are established and are then discretised by means of differential quadrature (DQ) method to obtain a linear system of Mathieu-Hill equations from which the principal instability regions of the FG-GOEAM beam are determined by Bolotin's method. A comprehensive parametric study is conducted to reveal the effects of GOri's folding degree, distribution, weight fraction, as well as fluid density and beam dimensions on the static and dynamic instability behaviours of the FG-GOEAM beam immersed in fluid. Numerical results show that the FG-GOEAM beam with NPR considerably outperforms its pristine metallic counterpart in terms of resistance against static buckling and dynamic stability.

Forecasting the PV Power Utilizing a Combined Convolutional Neural Network and Long Short-Term Memory Model

The quantity of photovoltaic systems generated relies on the climate, and to generate significant variations depending on the climatic conditions. Its electricity production processes exhibit unpredictability, instability, and intermittent behavior. The augmented convolutional long-short memory combination network is recommended for PV energy combined forecasting in accordance to overcome the challenge of considerable instability in the high proportion of sustainable energy output. The LSTM and CNN models’ training procedure uses the enhanced artificial bee colony (ABC) to adjust their characteristics. To determine the projected model parameters of PV power, the estimated input parameters of every model are stacked and then reassembled. The studies showed that the forecast precision was significantly higher than the reliability rate of the Convolutional LSTM combinational network as well as the forecasting findings from the BP, CNN, and LSTM independent computational methods. This forecast specificity was predicated on the enhanced ABC to optimize the variables of the CLSTM combinational network for forecasting Photo Voltaic power. For comparative study and assessment, the most recent operational data from a Photovoltaic power plant in northern China have been utilized. The suggested technique resolved more quickly and was higher weather-adaptable than the individual neural network and hybrid forecasting models mentioned prior.

A general kinematic approach to the seismic stability assessment of slopes

Most of the current studies concerning slope stability assume a toe failure mechanism, which fails to capture the full complexity of slope collapse. In this study, a more comprehensive approach is developed for analyzing seismic slope stability by defining an instability behavior coefficient that considers different failure patterns, including toe, face, and base failure. The proposed coefficient is integrated with a kinematic method of limit analysis to establish a three-dimensional (3D) collapse mechanism that can describe all possible instability behaviors. The impact of earthquake forces on instability behaviors and slope stability is assessed in a modified pseudodynamic manner, which is capable of accounting for the spatiotemporal feature of seismic acceleration. A horizontal slice method is executed for calculating earthquake-induced work rates, as well as a double integral technique to compute dissipation rates due to soil resistance along the sliding surface and work rates generated by soil weight. By applying the principle of energy conservation, the lower-bound solutions of stability numbers are derived, and a further critical solution can be obtained by the combination of the Marine Predators Algorithm and the Nelder-Mead Simplex Algorithm. The proposed method is confirmed to be accurate and effective through comparisons with previous solutions. In addition, a parametric study reveals the effect of the dynamic characteristics of seismic waves on slope stability and instability behaviors. The general approach developed in this study offers a more comprehensive and accurate way to assess seismic slope stability.

Exploring aspects of self-reported emotional mental imagery in patients with bipolar disorder

Background and objectivesCBT for patients with bipolar disorder has modest effects. Across disorders, mental imagery has been used to update CBT to increase effectiveness. In order to enhance CBT for bipolar disorder with imagery techniques, research is needed into emotional imagery quality and, related appraisals of imagery and their relationships with mood instability and subsequent behaviour in bipolar disorder. MethodsPatients with bipolar disorder (n = 106), unipolar depression (n = 51), creative imagery prone participants (n = 53) and participants without a history of a mood disorder (n = 135) completed the Dutch Imagery Survey (DImS), an online imagery survey, adapted from the Imagery Interview, assessing self-reported emotional imagery aspects. Imagery quality, appraisals and their self-perceived effects on emotion and behaviour were compared between groups. As unexpected differences within the bipolar group appeared, these were additionally explored. ResultsImagery appraisals but not imagery quality discriminated between the patient groups and non-patient groups Imagery was perceived as an emotional amplifier in all groups, but this was specifically apparent in bipolar manic and bipolar depressed groups. Only in the bipolar group imagery was experienced to amplify behavioural tendencies. LimitationsResults need to be replicated using a larger sample of patients with BD who are currently manic or depressed. ConclusionsNot only quality of imagery, but especially appraisals associated with imagery are differentiating between imagery prone people with and without mood disorder. Imagery amplifies emotion in all groups, but only in those patients with bipolar disorder currently manic or depressed did this influence behaviour.

A rigid–flexible coupling finite element model of coupler for analyzing train instability behavior during collision

AbstractRail vehicles generate huge longitudinal impact loads in collisions. If unreasonable matching exists between the compressive strength of the intermediate coupler and the structural strength of the car body, the risk of car body structure damage and train derailment will increase. Herein, a four-stage rigid–flexible coupling finite element model of the coupler is established considering the coupler buckling load. The influence of the coupler buckling load on the train longitudinal–vertical–horizontal buckling behavior was studied, and the mechanism of the train horizontal buckling instability in train collisions was revealed. Analysis results show that an intermediate coupler should be designed to ensure that the actual buckling load is less than the compressive load when the car body structure begins to deform plastically. The actual buckling load of the coupler and the asymmetry of the structural strength of the car body in the lateral direction are two important influencing factors for the lateral buckling of a train collision. If the strength of the two sides of the car body structure in the lateral direction is asymmetrical, the deformation on the weaker side will be larger, and the end of the car body will begin to deflect under the action of the coupler force, which in turn causes the train to undergo sawtooth buckling.

The impact of periodic axial loads on nonlinear dynamic instability behavior of Inconel 625 pipes

In various engineering fields like aerospace and aircraft structures or marine and offshore platforms, constitutive material of critical components should be made of specific materials that can work properly in the required workspace. Such materials must have excellent properties such as high mechanical strength as well as great resistance to corrosion, oxidation, and creep. Inconel 625 is a superalloy that is chosen as constitutive material of critical components due to its great abilities. On the other hand, since investigating Inconel 625 pipe has not been done yet, different mechanical characteristics of using structures made of Inconel 625 should be assessed. Additionally, doing so would be necessary to gather information for current industrial affairs and also future investigations. Therefore, the nonlinear dynamic instability response of axially loaded Inconel 625 pipes is investigated in the current article. The pipe structure is modeled via the Donnell shell theory and nonlinear von Kármán theory. The motion equations of pipes are established by applying the Hamiltonian approach. Then, in order to alter the nonlinear derived partial differential equations into the Mathieu-Hill equation, both Navier's solution and Airy stress function are implemented. Additionally, the amplitudes of steady-state oscillation of the Inconel 625 pipe are determined by employing Bolotin's method. Eventually, the impacts of various effective parameters on the nonlinear dynamic behaviors of Inconel 625 pipes are evaluated. The results indicate static and dynamic load factors possess a remarkable effect on instability exciting areas and steady-state vibration amplitudes of pipe. Moreover, the dynamic instability response of the pipe is dependent on the radius-to-thickness and length-to-radius ratios, and also how the ratios are affected depends on the wave number.

Saccharides alleviate the thermal instability behavior of liquid egg yolk: Influence on rheology property, emulsifying property and protein conformation

Liquid egg yolk (LEY) is a kind of thermally sensitive food ingredient, and the heat treatment involved in pasteurization and processing causes its denaturation, viscosity increase and emulsification instability, which limit its wider applications. Hence, new methods of preparing LEY with enhanced heat stability were explored. Results showed that saccharides exhibit great promise in alleviating aggregation behavior and undesirable loss in properties caused by heat treatment. Enhanced thermal denaturation temperature and weaker aggregation behavior contributed to the phenomenon, which was proven by rheology, particle size distribution, scanning electron microscope, confocal laser scanning microscopy, and low field-nuclear magnetic resonance. Raman spectra results indicated that heat treatment affected the microenvironment of tryptophan residues, and that additives could enhance protein stability. Overall, this study provides several greater selections of improved thermal tolerance of LEY in commercial operation compared with conventional additive (sucrose), which could provide a theoretical basis for producing LEY with enhanced heat stability.

Surface elasticity and area incompressibility regulate fiber beading instability

A continuum body endowed with an energetic surface can exhibit different mechanical behavior than its bulk counterpart. Soft polymeric cylinders under surface effects become unstable and form surface undulations referred to as the elastic Plateau–Rayleigh (PR) instability, exclusively driven by competing surface and bulk properties. However, the impact of surface elasticity and area compressibility, along with bulk compressibility, on the PR instability of soft solids remains unexplored. Here we develop a theoretical, finite deformations framework to capture the onset of the PR instability in highly deformable solids with surface tension, surface elasticity, and surface compressibility, while retaining the compressibility of the bulk as a material parameter. In addition to the well-known elastocapillary number, surface compressibility and a dimensionless parameter related to the surface modulus are found to govern the instability behavior. The results of the theoretical framework are analyzed for an exhaustive list of bulk and surface parameters and loading scenarios, and it is found that increasing surface elasticity and surface incompressibility preclude PR instability. Theoretical results are compared with high-fidelity numerical simulation results from surface-enhanced isogeometric finite element analysis and an excellent agreement is observed across a broad range of material parameters and large deformation levels. Our results demonstrate how surface effects can be used to (i) render stable soft structures and prevent PR instability when it occurs as an unwanted by-product of manufacturing techniques or (ii) tune the instability behavior for possible applications involving polymer fibers.

Numerical Analysis of Propeller Wake Evolution under Different Advance Coefficients

Propeller wake fields in an open-water configuration were compared between two loading circumstances using large-eddy simulation (LES) with a computational domain of 48 million grids and an overset mesh technique. To validate the results of the numerical simulation, available experimental data are compared, which indicates that the grid systems are suitable for the present study. The results indicate that the present LES simulations describe the inertial frequency range well for both high and low-loading conditions. Under high-loading conditions, the interlaced spirals and secondary vortices that connect adjacent tip vortices amplify the effects of mutual inductance, ultimately triggering the breakdown of the propeller wake systems. At a great distance from the propeller, the vortex system loses all coherence and turns into a collection of smaller vortices that are equally scattered across the wake. In contrast, under light-loading conditions, the wake vortex system exhibits strong coherence and has a relatively simple topology. The elliptic instability and pairing processes are only observed at a far distance from the propeller. The convection velocity transferring tip vortices downstream is larger under the light-loading condition, which leads to the larger pitch of the helicoidal vortices. The larger pitch weakens the mutual inductance or interaction effects among tip vortices, which delays the instability behaviors of the whole vortex system. The results and implications of this study serve as a guide for the development and improvement of next-generation propellers that function optimally when operating behind aquaculture vessels.

Inhibition mechanism of heterogeneous grain structures on plastic instability behavior in 3Mn steel

Isothermal Bainite Transformation (IBT) generates heterogeneous grain structures, leading to increased strain-hardening ability and inhibiting yield plateau and stress serrations. IA-steel and IBT-steel have ultimate tensile strengths of 1306 MPa, 1354 MPa, and elongations of 20.0%, 19.2%, respectively. IBT effectively suppresses plastic instability while maintaining mechanical properties.

Alteration of surface morphology and core features in adolescents with borderline personality disorder

BackgroundAccurate early diagnosis of adolescent borderline personality disorder (BPD) is critical for prompt treatment. The aim of this study was to assess the alteration of brain surface morphology and to evaluate its relationship with core features in adolescent BPD. MethodsA total of 52 adolescents with BPD aged 12–17 years and 39 age- and sex-matched healthy controls (HCs) were prospectively enrolled into the study. Brain magnetic resonance imaging (MRI) was obtained with both 3D-T1 weighted structural sequence and resting-state functional data. The structural data was analyzed for surface morphology parameters including the local gyrification index (LGI), mean curvature and surface area. The functional MRI data was analyzed for seed-based functional connectivity (FC). Correlative analysis of surface morphology and core features of adolescent BPD was performed. ResultsAdolescents with BPD showed the following altered surface morphology in the limbic-cortical circuit when compared to the HCs: (1) reduced LGI in the left fusiform and right superior temporal gyrus; (2) reduced mean curvature in the left precentral gyrus and right rostral anterior cingulate cortex, and increased mean curvature in the bilateral pericalcarine; and (3) reduced surface area in the left paracentral gyrus, left pars triangularis, right insula and right lateral orbitofrontal gyrus (P < 0.05, FWE correction). In addition, these brain regions with altered surface morphology were significantly correlated with several core features including the mood instability, self-identity problems, and non-suicidal self-injury behavior in adolescents with BPD (P < 0.05). Furthermore, there was enhanced functional connectivity among these altered brain regions within the limbic-cortical circuit (voxel P < 0.001, cluster P < 0.05, FWE corrected). ConclusionsAdolescents with BPD had significant alterations of brain surface morphology in the limbic-cortical circuit, which was correlated with core BPD features. These results implicated the surface morphology parameters and FC alterations may potentially serve as neuroimaging biomarkers for adolescents with BPD.

Uncovering the Origins of Instability in Dynamical Systems: How Can the Attention Mechanism Help?

The behavior of the network and its stability are governed by both dynamics of the individual nodes, as well as their topological interconnections. The attention mechanism as an integral part of neural network models was initially designed for natural language processing (NLP) and, so far, has shown excellent performance in combining the dynamics of individual nodes and the coupling strengths between them within a network. Despite the undoubted impact of the attention mechanism, it is not yet clear why some nodes of a network obtain higher attention weights. To come up with more explainable solutions, we tried to look at the problem from a stability perspective. Based on stability theory, negative connections in a network can create feedback loops or other complex structures by allowing information to flow in the opposite direction. These structures play a critical role in the dynamics of a complex system and can contribute to abnormal synchronization, amplification, or suppression. We hypothesized that those nodes that are involved in organizing such structures could push the entire network into instability modes and therefore need more attention during analysis. To test this hypothesis, the attention mechanism, along with spectral and topological stability analyses, was performed on a real-world numerical problem, i.e., a linear Multi-Input Multi-Output state-space model of a piezoelectric tube actuator. The findings of our study suggest that the attention should be directed toward the collective behavior of imbalanced structures and polarity-driven structural instabilities within the network. The results demonstrated that the nodes receiving more attention cause more instability in the system. Our study provides a proof of concept to understand why perturbing some nodes of a network may cause dramatic changes in the network dynamics.

Automated minimum-weight sizing design framework for tall self-standing modular buildings subjected to multiple performance constraints under static and dynamic wind loads

In recent decades, the shortage of affordable housing has become an endemic issue in many cities worldwide due to the ongoing urban population growth. Against this backdrop, volumetric steel modular building systems (MBSs) are becoming an increasingly compelling solution to the above challenge owing to their rapid construction speed and reduced upfront costs. Notwithstanding their success in low- to mid-rise projects, these assembled structures generally rely on a separate lateral load-resisting system (LLRS) for lateral stiffness and resistance to increased wind loads as the building altitude increases. However, additional LLRSs require on-site construction, thereby compromising the productivity boost offered by the MBSs. To this end, this paper proposes a novel optimisation-driven sizing design framework for tall self-standing modular buildings subjected to concurrent drift, floor acceleration, and member strength constraints under static and dynamic wind loads. A computationally efficient solution strategy is devised to facilitate a meaningful sizing solution by decomposing the constrained discrete sizing problem into a convex serviceability limit stage (SLS) and a non-convex ultimate limit stage (ULS), which can be then solved using preferred local and global optimisation methods, separately. The framework is implemented by integrating SAP2000 (for structural analysis) and MATLAB (for optimisation) through SAP2000′s open Application Programming Interface (API), and demonstrated using a 15-storey self-standing steel modular building exposed to three different levels of wind intensity. A comprehensive performance assessment is conducted on the optimally designed case-study building to investigate its elastic instability behaviour, geometric nonlinear effects on wind-induced response, and impacts of global sway imperfections on member utilisation ratios under wind effects. It is concluded that tall self-standing modular buildings can be achieved economically using ordinary corner-supported modules without ad hoc structural provisions, while consuming steel at similar rates to conventional building structural systems. Furthermore, the proposed sizing framework and solution strategy have proven to be useful design tools for reconciling the structural resilience and material efficiency in wind-sensitive self-standing modular buildings.