Interactive Simulation Research Articles

Numerical Simulation of Ice and Structure Interaction Using Common-Node DEM in LS DYNA

In this work, the icebreaking performance of the cone structure was investigated using a new numerical model called the common-node DEM developed within LS DYNA. The icebreaking characteristics of a typical conical jacket platform in the Bohai Sea focusing on the JZ20-2NW single-pile-leg platform was studied and the ice load characteristics of the cone structure and the dynamic response of the jacket platform under various ice conditions was investigated. The findings indicate that ice thickness significantly impacts the icebreaking mechanism of the cone structure. Specifically, both the peak ice load and the peak acceleration of ice-induced vibrations are proportional to the square of the ice thickness. Additionally, the upward trend in positive vibration displacement of the jacket platform becomes more pronounced with increasing ice thickness. While both the acceleration and displacement caused by ice-induced vibrations on the jacket increase with rising ice velocity, this effect is less significant compared to the influence of ice thickness. Importantly, the ice load remains below the yield strength of the conical shell plate, demonstrating that traditional conical shell plate structures possess a margin of strength redundancy.

Backward test particle simulation of nonlinear cyclotron wave-particle interactions in the radiation belts

Wave-particle interaction plays a crucial role in the dynamics of the Earth’s radiation belts. Cyclotron resonance between coherent whistler mode electromagnetic waves and energetic electrons of the radiation belts is often called a coherent instability. Coherent instability leads to wave amplification/generation and particle acceleration/scattering. The effect of wave on particle’s distribution function is a key component of the instability. In general, whistler wave amplitude can grow over threshold of quasi-linear (linear) diffusion theory which analytically tracks the time-evolution of a particle distribution. Thus, a numerical approach is required to model the nonlinear wave induced perturbations on particle distribution function. A backward test particle model is used to determine the energetic electrons phase space dynamics as a result of coherent whistler wave instability. The results show the formation of a phase space features with much higher resolution than is available with forward scattering models. In the nonlinear regime the formation of electron phase space holes upstream of a monochromatic wave is observed. The results validate the nonlinear phase trapping mechanism that drives nonlinear whistler mode growth. The key differences in phase-space perturbations between the linear and nonlinear scenarios are also illustrated. For the linearized equations or for low (below threshold) wave amplitudes in the nonlinear case, there is no formation of a phase-space hole and both models show features that can be characterized as linear striations or ripples in phase-space.

The 3rd Hutchinson lecture: numerical modelling of forests with uprooting as a nature-based solution to mitigate flow-type landslides

AbstractTo protect human lives and infrastructure in mountainous regions from flow-type landslides, engineered countermeasures, such as rigid and flexible barriers, are installed along predicted flow paths. Over recent years, research efforts in physical and numerical modelling have helped advance the understanding of impact mechanisms involved and enabled the optimization of the design of engineered solutions. With the advent of sustainable engineering, attention has shifted towards the use and development of nature-based solutions to impede flow-type landslides. A simple nature-based solution is to consider the effects of forests on the mobility of flow-type landslides. However, to leverage forests, the complex flow-stem interactions and effects of uprooting need to be captured. In this paper, details and results of a new GPU-empowered MPM-LSDEM numerical solver that simulates the effects of flows through tree stems that can uproot are presented along with systematic evaluation of the solver. Simulations of flow-forest interaction with and without uprooting show that forests have profound effects on flow forest interaction. For dense forests, uprooted stems can push flow material to enhance its runout distance. Additionally, uprooted stems tend to concentrate near the front of the flows even if they were evenly distributed throughout the model forest at the beginning. The impact force exerted by a stem can be considered concentrated loading and can damage barriers along the flow path. Taken together, hazard assessment tools that can model the effects of uprooting are crucial to close predictions of hazard extent (i.e., runout distance) and the design of physical countermeasures such as barriers.

Microscopic examination of rf-cavity-quality niobium films through local nonlinear microwave response

The performance of superconducting radio-frequency (SRF) cavities is sometimes limited by local defects. To investigate the rf properties of these local defects, especially those that nucleate rf magnetic vortices, a near-field magnetic microwave microscope is employed. Local third-harmonic response (P3f) and its temperature dependence and rf power dependence are measured for one Nb/Cu film grown by direct current magnetron sputtering (DCMS) and six Nb/Cu films grown by high-power impulse magnetron sputtering (HiPIMS) with systematic variation of deposition conditions. Five out of the six HiPIMS Nb/Cu films show a strong third-harmonic response that is likely coming from rf vortex nucleation due to a low-Tc surface defect with a transition temperature between 6.3 and 6.8 K, suggesting that this defect is a generic feature of air-exposed HiPIMS Nb/Cu films. A phenomenological model of surface-defect grain boundaries hosting a low-Tc impurity phase is introduced and studied with time-dependent Ginzburg-Landau (TDGL) simulations of probe-sample interaction to better understand the measured third-harmonic response. The simulation results show that the third-harmonic response of rf vortex nucleation caused by surface defects exhibits the same general features as the data, including peaks in third-harmonic response with temperature, and their shift and broadening with higher microwave amplitude. We find that the parameters of the phenomenological model (the density of surface defects that nucleate rf vortices and the depth an rf vortex travels through these surface defects) vary systematically with film deposition conditions. From the point of view of these two properties, the Nb/Cu film that is most effective at reducing the nucleation of rf vortices associated with surface defects can be identified. Published by the American Physical Society 2024

Advancing VR simulators for autonomous vehicle–pedestrian interactions: A focus on multi-entity scenarios

Recent research has increasingly focused on how autonomous vehicles (AVs) communicate with pedestrians in complex traffic situations involving multiple vehicles and pedestrians. VR is emerging as an effective tool to simulate these multi-entity scenarios, offering a safe and controlled study environment. Despite its growing use, there is a lack of thorough investigation into the effectiveness of these VR simulations, leaving a notable gap in documented insights and lessons. This research undertook a retrospective analysis of two distinct VR-based studies: one focusing on multiple AV scenarios (N = 32) and the other on multiple pedestrian scenarios (N = 25). Central to our examination are the participants’ sense of presence and their crossing behaviour. The findings highlighted key factors that either enhance or diminish the sense of presence in each simulation, providing considerations for future improvements. Furthermore, they underscore the influence of controlled scenarios on crossing behaviour and interactions with AVs, advocating for the exploration of more natural and interactive simulations that better reflect real-world AV and pedestrian dynamics. Through this study, we set a groundwork for advancing VR simulators to study complex interactions between AVs and pedestrians.

MobiTangibles: Enabling Physical Manipulation Experiences of Virtual Precision Hand-Held Tools' Miniature Control in VR.

Realistic simulation for miniature control interactions, typically identified by precise and confined motions, commonly found in precision hand-held tools, like calipers, powered engravers, retractable knives, etc., are beneficial for skill training associated with these kinds of tools in virtual reality (VR) environments. However, existing approaches aiming to simulate hand-held tools' miniature control manipulation experiences in VR entail prototyping complexity and require expertise, posing challenges for novice users and individuals with limited resources. Addressing this challenge, we introduce MobiTangibles-proxies for precision hand-held tools' miniature control interactions utilizing smartphone-based magnetic field sensing. MobiTangibles passively replicate fundamental miniature control experiences associated with hand-held tools, such as single-axis translation and rotation, enabling quick and easy use for diverse VR scenarios without requiring extensive technical knowledge. We conducted a comprehensive technical evaluation to validate the functionality of MobiTangibles across diverse settings, including evaluations for electromagnetic interference within indoor environments. In a user-centric evaluation involving 15 participants across bare hands, VR controllers, and MobiTangibles conditions, we further assessed the quality of miniaturized manipulation experiences in VR. Our findings indicate that MobiTangibles outperformed conventional methods in realism and fatigue, receiving positive feedback.

Physics Models and Machine Learning in Molecular Dynamics

Abstract. Tackling the complexity of particle interactions, this investigation introduces a unified computational methodology employing Moldy, Gnuplot, and Visual Molecular Dynamics (VMD). Inspired by the n-body problem's persistent intrigue, specifically the three-body dynamics within molecular systems, we leverage Molecular Dynamics (MD) simulations to forecast and scrutinize the nuanced behavior of atomic and molecular entities. Moldy, a flexible MD software, facilitated the simulation of particle trajectories and interactions across diverse scenarios, with meticulous documentation of the resulting data. For visual analytics and insight extraction, Gnuplot crafted detailed plots depicting kinetic and potential energies alongside other thermodynamic metrics over temporal scales. The integration of VMD culminated in our analysis by vividly portraying the molecular motions, enhancing comprehension of emergent patterns. This study not only endorses Moldy's precision in MD simulations but also highlights the potent alliance among simulation, analysis, and visualization in elucidating intricate particle interactions. In summary, our work underscores the efficacy of the Moldy-Gnuplot-VMD triad as a formidable resource for scientists engaged in molecular motion prediction and analysis, paving fresh paths in computational physics and chemistry research.

CETASim: A numerical tool for beam collective effect study in storage rings

We developed a 6D multi-particle tracking program CETASim in C++ to simulate intensity-dependent effects in electron storage rings. The program can simulate the beam collective effects due to short-range/long-range wakefields for single/coupled-bunch instability studies. It also features the simulation of interactions among charged ions and the trains of electron bunches, including both fast ion and ion trapping effects. The bunch-by-bunch feedback is also included so that the user can simulate the damping of the unstable motion when its growth rate is faster than the radiation damping rate. The particle dynamics is based on the transfer maps from sector to sector, including the nonlinear effects of amplitude-dependent tune shift, high-order chromaticity, and second-order momentum compaction factor. Users can also introduce a skew quadrupole useful for emittance sharing and exchange studies. This paper describes the code structure, the physics models, and the algorithms used in CETASim. We also present the results of its application to the PETRA-IV storage ring.

Elastic collisions on a simulated circular air track

Elastic collisions of gliders on linear air tracks are often used to explore conservation of energy and momentum. If one is interested in the glider behavior over a long time span, the analysis involves repeated collisions and is complicated by reflections from the track end stops. Here we analyze elastic collisions on a novel circular air track; since such a track lacks end stops, the mathematical analysis of repeated collisions is amenable to our students. Our analysis uncovers a variety of interesting behaviors which depend on the ratio of the glider masses. We examine periodic sequences where the gliders return to their initial conditions and progressions where (when plotted in polar coordinates) the collision positions take on the locus of a spiral. One set of initial conditions produces an “angle trap” where one glider remains within a certain angular range. We also explore making one glider's mass hypothetically negative, which results in a novel “chasing” motion. Our results were obtained using a 3D interactive simulation (created using C++ within the Unreal engine), which we make available as supplementary material.

Effectiveness of Experiential Learning Approaches (ELA) in enhancing students’ active participation in physical education

Background: Active participation in physical education (PE) is essential for students’ development yet remains challenging in many schools. Research Objectives: This study aimed to assess the effectiveness of experiential learning approaches, including role-playing and interactive simulations, in enhancing students’ willingness and ability to actively participate in PE at Gabas Integrated School (GIS). Methods: This study utilised a one-group pretest-posttest design in which 34 Grade 9 GIS students participated. A researcher-made survey questionnaire patterned from the Students’ Participation Survey and the Motivation in Physical Education Survey and a checklist tool were used to gather data. Education experts reviewed the survey questionnaire to ensure content validity and conducted a pilot test. The collected data were analysed using Jeffrey’s Amazing Statistics Program (JASP). Findings/Results: The study revealed that the students’s willingness to participate was initially moderately willing, which increased to extremely willing after the intervention. The student’s ability to participate improved from a participative rating to a highly participative rating after the intervention. The Wilcoxon signed-rank test further revealed significant differences between the students’ willingness and ability to participate before and after the intervention. Conclusion: These findings concluded that an experiential learning approach effectively enhances students’ active participation in terms of their willingness and ability to participate in PE classes. Thus, the Department of Education must encourage teachers to use ELA to transform students from passive spectators to active participants. Physical education teachers must also consider incorporating performance-based learning and real-life scenarios that allow students to apply their skills in meaningful contexts to their physical education teaching.

Colorimetric Fabry-Pérot Sensor with Hetero-Structured Dielectric for Humidity Monitoring.

A full-color colorimetric humidity sensor with high brightness is proposed by using a hetero-structured dielectric film in a metal-insulator-metal (MIM) resonator. A humidity-responsive polymer is designed to graft on top of a metal-organic frameworks (MOFs) thin film (MOFs-Polymer) as insulator layer in the resonator. Programmable tuning of reflected color is achieved by controlling the polymer thicknesses, and finite difference time domain simulation of light-matter interactions at subwavelength scales proves the dependence of the reflected wavelength on dielectric layer thickness of the resonator. Vivid full-color changing is realized during tracking humidity process due to swelling of the stimuli-responsive polymer. Ultrafast response (≈0.75 s) is achieved for tracking trace H2O from H2O/methanol mixture, which is ≈104 faster than that of the pure polymer-based MIM resonator. Meanwhile, the study observes significant spectral redshift because the porous MOFs film facilitates the preconcentration of external stimulus and improves the detection sensitivity of the resonator. Further, double-channel anti-counterfeiting multiplexing imaging is devised on the MIM resonator by photomask technology. Patterned encoding for security label is achieved on the MIM resonator by engineering humidity-tunable pixels of Au/MOFs-Polymer/Au and humidity-invalid pixels of Au/MOFs/Au.

The Effect of KOURIBGA (Family Planning Postpartum Bouquet Ribbon Game) Education on The Self-Efficacy of Health Cadres

The low self-efficacy of health cadres can impact the effectiveness of community education on postpartum family planning (KBPP). Previous studies indicate that with appropriate educational methods, the number of KBPP users can increase significantly. The Simulation Game known as the Family Planning Postpartum Bouquet Ribbon Game, or KOURIBGA, presents a promising approach to health education by offering an engaging and interactive simulation format. This study aimed to analyze the influence of KOURIBGA education on the self-efficacy of health cadres in Kedungwinong Village, Nguter District, Sukoharjo Regency. Employing a pre-experimental, pretest-posttest design, the research used a total sample of 35 health cadres. In this study, the KOURIBGA education served as the independent variable, while the dependent variable was the self-efficacy of the cadres. The results, analyzed using the Wilcoxon test, indicated a significant effect (p-value < 0.05), demonstrating that KOURIBGA education positively influenced health cadres' self-efficacy in Kedung Winong Village. Thus, KOURIBGA education can be effectively utilized to enhance self-efficacy, contributing to better reproductive health services.

Influence of irradiation wavelength during laser-assisted doping of 4H-silicon carbide in liquid phase

Laser-assisted doping of silicon carbide (SiC) substrates is challenging due to the low diffusion coefficient of dopant atoms and the chemically inert nature of SiC. Single crystal intrinsic 4H-SiC substrate is irradiated with neodymium-doped yttrium aluminium garnet (Nd3+):YAG laser with wavelengths of 1064, 355 and 266 nm, and krypton fluoride (KrF) excimer laser with the wavelength of 248 nm under liquid phase dopant sources. Different liquid solutions were used as dopant sources for aluminium (Al) and phosphorus (P). SiC was transparent to 1064 and 355 nm due to low absorption coefficients, while 266 and 248 nm showed better coupling due to higher absorption coefficients and led to the diffusion of atoms. The electrical resistance of the substrates was measured to be lower than 1000 kΩ after diffusion. Dispersive X-ray spectroscopy (EDS) studies showed that both laser wavelengths of 248 nm and 266 nm resulted in doping of Al and P, with the surface concentrations ranging from 0.5 to 1.5 at.% and from 0.24 to 0.6 at.%, respectively. Two-dimensional thermo-temporal simulation of the laser pulse interaction in the liquid phase revealed that unlike in air, during irradiation with 266 nm laser under liquid, the surface temperature of the substrate was slightly lower. However, the subsurface temperature increased along the depth by a few microns. Similarly, simulation studies with longer pulse irradiation also show that high temperature was maintained for a longer time, indicating improved dopant diffusion into the 4H-SiC substrate.

Molecular and energetic analysis of the interaction and specificity of Maximin 3 with lipid membranes: In vitro and in silico assessments.

In this study, the interaction of antimicrobial peptide Maximin 3 (Max3) with three different lipid bilayer models was investigated to gain insight into its mechanism of action and membrane specificity. Bilayer perturbation assays using liposome calcein leakage dose-response curves revealed that Max3 is a selective membrane-active peptide. Dynamic light scattering recordings suggest that the peptide incorporates into the liposomal structure without producing a detergent effect. Langmuir monolayer compression assays confirmed the membrane inserting capacity of the peptide. Attenuated total reflection-Fourier transform infrared spectroscopy showed that the fingerprint signals of lipid phospholipid hydrophilic head groups and hydrophobic acyl chains are altered due to Max3-membrane interaction. On the other hand, all-atom molecular dynamics simulations (MDS) of the initial interaction with the membrane surface corroborated peptide-membrane selectivity. Peptide transmembrane MDS shed light on how the peptide differentially modifies lipid bilayer properties. Molecular mechanics Poisson-Boltzmann surface area calculations revealed a specific electrostatic interaction fingerprint of the peptide for each membrane model with which they were tested. The data generated from the in silico approach could account for some of the differences observed experimentally in the activity and selectivity of Max3.

3.X.2. Integrating trust as a key component of pandemic preparedness and resilience

Abstract Trust is a key component of pandemic preparedness, which impacts the success of response measures during the public health emergency. Trust is built during preparedness, however the drivers and dimensions of trust are complex and context-specific. What is required is a collaborative, inclusive approach that provides a platform for communities to express their questions and concerns. The proposed workshop will begin with a presentation from a global expert on trust in the content of epidemics and pandemics and the current knowledge about how trust can be built during preparedness. This will be followed by interactive group-work, designed to encourage collaborative discussions and decision-making. Finally, introducing the WHO Hive digital platform that provides a safe space for public health communities to share information and ask questions. Attendees will then reconvene in plenary to discuss these approaches and interventions that can be implemented to build and maintain trust prior to and during an epidemic or pandemic. This workshop has the following objectives: 1. To demonstrate how trust is an important determinant of successful pandemic response; 2. To enable attendees to explore how the implementation of public health and social measures, infodemic management and digital community partnerships and engagement can build trust during pandemic preparedness for both online and offline communities; 3. To provide opportunity for attendees to workshop how the different features of the Hive digital space can enhance trust building, and to develop actionable strategies for health emergency preparedness, response and resilience. The workshop will deliver these objectives through an interactive simulation activity. Attendees will be placed into small groups to work through a scenario, having to decide on the actions that need to be taken, considering budget constraints, other health priorities, and the current local context. The teams will co-create actionable strategies for building and maintaining trust. While there is not a one size fits all approach to trust building, this workshop will aim to increase understanding of the drivers and determinants of trust to encourage participants to consider how they can be applied in their local context. It will be interactive and hands-on requiring active participation from participants. Key messages • Trust as a construct is an important component of pandemic preparedness and readiness that impacts on response. • A multidimensional approach to building and sustaining trust needs to considered across a range of drivers and determinants, where actionable strategies are vital.

Boosting influenza vaccination rates through policy gamification: the ‘Let’s Control Flu’ project

Abstract Background Influenza remains a public health challenge globally, leading to substantial morbidity and mortality, particularly among vulnerable groups. Despite the benefits of vaccination, achieving the desired vaccination coverage rates (VCR) proves challenging across Europe. The ‘Let’s Control Flu’ (LCF) tool emerges as a new contribution, merging gamification with epidemiological data and public health policies to help increase influenza VCR. Methods The LCF tool, developed from an extensive literature review and validated by a National Advisory Board, initially showcased its capabilities in Sweden. Offering an interactive simulation, it allows stakeholders to explore the outcomes of implementing 13 targeted public health policies (PHP) on influenza VCR and health outcomes such as infection rates, hospitalizations, and mortality. This approach simplifies epidemiological complexities, paving the way for informed decision-making. Results Following its success in Sweden, the LCF tool was extended to Germany and Czechia, underlining the value of gamified tools in public health decision-making. The application across these new countries not only resulted in paths to improve VCR but also provided insights into the tool’s scalability and adaptability different landscapes. Conclusions The LCF project underscores the efficacy of integrating gamification into health policy decision-making, offering a replicable model for enhancing influenza vaccination uptake across Europe. With the tool now successfully applied in multiple countries, its potential for broader European and global application is evident. This initiative aligns with WHO’s objectives, spotlighting gamification as a relevant component in improving vaccination strategies and readiness for influenza and other preventable diseases, thereby reinforcing the importance of innovative approaches in public health policy development. Key messages • The LCF tool integrates gamification with public health strategies to help effectively raise influenza vaccination coverage. • By merging gamification and epidemiological insights, the LCF tool also serves as a scalable model for Europe, supporting WHO’s goals to improve vaccine strategies and preparedness.

Interactive Simulation of Nonpharmaceutical Interventions of Airborne Disease Transmission in Office Settings

The COVID-19 pandemic has caused major disruptions to workplace safety and productivity. A browser-based interactive disease transmission simulation was developed to enable managers and individuals (agents) to optimize safe office work activities during pandemic conditions. The application provides a user interface to evaluate the impact of non-pharmaceutical interventions (NPIs) policies on airborne disease exposure based on agents’ meeting patterns and room properties. Exposure is empirically calibrated using CO2 as a proxy for viral aerosol dispersion. For the building studied, the major findings are that the cubicles during low occupancy produce unexpectedly high exposure, upgrading meetings to larger rooms reduces total average exposure by 44%, and when all meetings are conducted in large rooms, a 79% exposure reduction is realized.

Understanding disease-associated metabolic changes in human colon epithelial cells using i ColonEpithelium metabolic reconstruction.

The colon epithelium plays a key role in the host-microbiome interactions, allowing uptake of various nutrients and driving important metabolic processes. To unravel detailed metabolic activities in the human colon epithelium, our present study focuses on the generation of the first cell-type specific genome-scale metabolic model (GEM) of human colonic epithelial cells, named iColonEpithelium. GEMs are powerful tools for exploring reactions and metabolites at systems level and predicting the flux distributions at steady state. Our cell-type-specific iColonEpithelium metabolic reconstruction captures genes specifically expressed in the human colonic epithelial cells. The iColonEpithelium is also capable of performing metabolic tasks specific to the cell type. A unique transport reaction compartment has been included to allow simulation of metabolic interactions with the gut microbiome. We used iColonEpithelium to identify metabolic signatures associated with inflammatory bowel disease. We integrated single-cell RNA sequencing data from Crohn's Diseases (CD) and ulcerative colitis (UC) samples with the iColonEpithelium metabolic network to predict metabolic signatures of colonocytes between CD and UC compared to healthy samples. We identified reactions in nucleotide interconversion, fatty acid synthesis and tryptophan metabolism were differentially regulated in CD and UC conditions, which were in accordance with experimental results. The iColonEpithelium metabolic network can be used to identify mechanisms at the cellular level, and our network has the potential to be integrated with gut microbiome models to explore the metabolic interactions between host and gut microbiota under various conditions.

Integrated GIS-hydrologic-hydraulic modeling to assess combined flood drivers in coastal regions: a case study of Bonita Bay, Florida

Flooding poses a severe global threat, necessitating advanced methodologies to assess and manage its risks effectively. This study introduces a novel approach that integrates Geographic Information System (GIS) with hydrologic-hydraulic modeling to evaluate the combined drivers of current and future flood risks. The method is applied to the development Bonita Bay in southwest Florida. It occurs in a region highly susceptible to flooding due to its low elevation and proximity to tidal waters. The innovative integration of GIS with hydrologic-hydraulic models enables detailed assessment and visualization of flood inundation areas under multiple flood drivers including design storms, land use changes, groundwater rise, and sea-level rise. This allows for the seamless simulation of complex flood interactions with only minor adjustments to the model for the identified drivers. The results indicate significant increases in initial water storage caused by sea and groundwater level rise and amplified storm runoff from land use changes. A 2% increase in flooded areas is projected with stronger design storms, and a 5% increase by 2,100 compared to 2024. This approach provides a robust framework for developing tailored flood mitigation strategies and can be adapted to various coastal regions globally.

Modeling, Simulation, and Kinematic Validation of Transfemoral Prosthetic Mechanism With Ankle Varus–Valgus Characteristic

Abstract Inspired by the kinesiology of human bionic joints, a transfemoral prosthetic mechanism based on a functional structure of parallel mechanism is developed for the transfemoral amputees. The walking interactive simulation is implemented based on human-prosthesis modeling to verify the kinematics of the designed prosthetic mechanism, as well as to explore compatibility between the amputees and prosthesis. Then, simulation-based prosthetic optimization is performed to pursue an optimized human-prosthesis model with economic metabolic consumption while eliminating compatibility errors including the joints' misalignment error between the affected limb and healthy limb, and the assembly error between human and prosthesis, so that the potential physical health problems can be avoided efficiently. This method is valuable for the optimal design of interactive rehabilitation robots. Finally, a developed proportional-integral-derivative-based (PID-based) finite-state machine (FSM) strategy is used, and the kinematic validation is carried out. The results show that the designed prosthesis possesses ankle varus–valgus characteristic, and it has a high human-like motion accuracy due to the FSM control can track prosthetic motion in each gait event. What's more, the prosthetic optimization can be an efficient method to enhance the biomechanical performance of human-prosthetic model so that the amputees have a more natural and symmetry gait.