In this study, a virtual simulation model of negative-ease pressure yoga pants was developed and a corresponding human model was constructed to accurately assess pressure comfort when wearing the yoga pants. First, a 3D body scanner was employed to obtain the human body surface. Subsequently, these data were imported into the reverse engineering software Geomagic Wrap to construct the human body model. Then, the assembly of the waist and hip models was completed in SolidWorks by combining the CT images of the female hip joint. Next, the fabric parameters were obtained through by testing the physical properties of the fabric, and these parameters were imported into the finite-element simulation software ANSYS for fitting simulation. Finally, to verify the model’s accuracy, points of the key body dimensions were selected, and the actual pressure was measured by using the AMI3037-SB pressure measurement system (by means of sensors attached to the skin surface). Significance test analysis showed that the significance level between the simulated and measured values was 0.397 (p > 0.05), indicating that there was no significant difference between the two group. This model applies the research theory of pressure distribution in yoga pants and utilizes the Vidya virtual fitting platform to improve the pattern drafting and fabric improvements for yoga pants, providing a basic research theoretical reference for the subsequent design and market development of tight clothing for the waist and hips.
ZhangXYeungKWLiY.Numerical simulation of 3D dynamic garment pressure. Text Res J2002;
72(3): 245–252.
2.
KimSHKimSParkCK.Development of similarity evaluation method between virtual and actual clothing. Int J Clothing Sci Technol2017;
29: 743–750.
3.
BarhoumiHMarzouguiSAbdessalemSB.A novel design approach and ergonomic evaluation of class I compression legging. Int J Clothing Sci Technol2022;
34: 273–284.
4.
AliACaineMPSnowBG.Graduated compression stockings: physiological and perceptual responses during and after exercise. J Sports Sci2007;
25: 413–419.
5.
MoehrleMKemmlerJRauschenbachM, et al.
Acute and long term effect of compression stockings in athletes with venous insufficiency. Nuklearmedizin2007;
36: 313–319.
6.
ZhangMDongHFanX, et al.
Finite element simulation on clothing pressure and body deformation of the top part of men’s socks using curve fitting equations. Int J Clothing Sci Technol2015;
27: 207–220.
7.
ParkJNamYJ.Finite element modeling and simulation of hip joints in elderly women: for development of protective clothing against fracture. Int J Clothing Sci Technol2020;
32: 661–675.
8.
WangSXuYWangH.Finite element modelling of Chinese male office workers’ necks using 3D body measurements. J Text Inst2016;
108(5): 1–10.
9.
DanRDanMHFanXR, et al.
Numerical simulation of dynamic pressure and displacement for the top part of men’s socks using the finite element method. Fibres Text East Eur2013;
4: 112–117.
10.
ZhangSYickKLChenL, et al.
Finite-element modelling of elastic woven tapes for bra design applications. J Text Inst2020;
111: 1470–1480.
11.
DanRZhengYShiZ.Finite element simulation of pressure and volume shrinkage of the top part of socks using ABAQUS. Text Res J2024;
94: 803–813.
12.
YanMLiangTZhaoH, et al.
Model properties and clinical application in the finite element analysis of knee joint: a review. Orthop Surg2024;
16: 289–302.
13.
GhorbaniEHasaniHNedoushanRJJamshidiN.Finite element modeling of compression garments’ structural effect on leg pressure. Fibers Polym2020;
21(3): 636–645.
14.
MeadeMJBlundellHWeirT.Predicted overbite and overjet changes with the Invisalign appliance: a validation study. Angle Orthod2024;
94: 10–16.
15.
TemizerIWriggersPHughesTJR.Contact treatment in isogeometric analysis with NURBS. Comput Meth Appl Mech Eng2011;
200: 1100–1112.
16.
Akbarzadeh KhorshidiMABoseSWatschkeB, et al.
Characterisation of human penile tissue properties using experimental testing combined with multi-target inverse finite element modelling. Acta Biomater2024;
184: 226–238.
17.
YeCLiuRYingMTC, et al.
Characterizing the biomechanical transmission effects of elastic compression stockings on lower limb tissues by using 3D finite element modelling. Mater Des2023;
232: 112182.
18.
YehCHLinKRSuFC, et al.
Optimizing 3D printed ankle-foot orthoses for patients with stroke: importance of effective elastic modulus and finite element simulation. Heliyon2024;
10: e26926.
19.
MakhsousMLimDHendrixR, et al.
Finite element analysis for evaluation of pressure ulcer on the buttock: development and validation. IEEE Trans Neural Syst Rehabil Eng2007;
15: 517–525.
20.
AhnBKimJ.Measurement and characterization of soft tissue behavior with surface deformation and force response under large deformations. Med Image Anal2010;
14: 138–148.
21.
LozoMPenavaŽLovričevićI, et al.
The structure and compression of medical compression stockings. Materials (Basel)2022;
15: 353.
22.
KuzmichevVETislenkoIVAdolpheDC.Virtual design of knitted compression garments based on bodyscanning technology and the three-dimensional-to-two-dimensional approach. Text Res J2019;
89: 2456–2475.
23.
KeYZhaohuiW.Measurement of Poisson’s ratio of knitted fabrics based on digital image correlation method. Wool Text J2021; 49: 1–16.
24.
CollierJRCollierBJO’TooleG, et al.
Drape prediction by means of finite-element analysis. J Text Inst1991;
82: 96–107.
25.
JinyunZYiLLamJ, et al.
The Poisson ratio and modulus of elastic knitted fabrics. Text Res J2010;
80: 1965–1969.
26.
YanXHWangLJWangML, et al.
Analysis of pressure distribution during movement for the top part of female socks. Text Res J2020;
90: 1301–1310.
27.
RhoJYHobathoMCAshmanRB.Relations of mechanical properties to density and CT numbers in human bone. Med Eng Phys1995;
17: 347–355.
28.
LeeJDoW.Clothing pressure analysis of commercial women’s leggings for applying medical compression classes. Fashion Text2023;
10: 8.
29.
LiuYWangY.Clothing pressure alters brain wave activity in the occipital and parietal lobes. Transl Neurosci2019;
10: 76–80.
30.
ZhangL.An overview of the research status and development trend of dynamic pressure distribution testing for clothing. J Phys Conf Ser2021;
1790(1): 012043.
31.
LiangRYipJYuW, et al.
Numerical simulation of nonlinear material behaviour: application to sports bra design. Mater Des2019;
183: 108177.
32.
LeeJKLimHS.Movement, wear comfort, and compression evaluation of nylon and polyurethane blend stretch knit material and 3D virtual fitting stress strain comparison. Fibers Polym2023;
24: 2541–2555.
33.
WangWYuXCongH.Pressure evaluation of seamless yoga leggings designed with partition structure. Autex Res J2023;
23: 300–309.
34.
DentonMJ.Fit, stretch and comfort. Textiles1972;
3: 12–17.
35.
SangeorzanBJHarringtonRMWyssCRCzernieckiJMMatsenFA.Circulatory and mechanical response of skin to loading. J Orthop Res1989;
7(3): 425–431.
36.
WangYLiuYLuoS, et al.
Pressure comfort sensation and discrimination on female body below waistline. J Text Inst2018;
109: 1067–1075.
37.
ZhangYFKeBZ.Influence of shapewear’s fitness on pressure comfortability. J Cloth Res2023;
8(3): 196–200 (in Chinese).
38.
LiHXWangYRChenZA.Evaluation on the pressure distribution and body-shaping effectivity of graduated compression shaping pants. Int J Cloth Sci Technol2020;
33: 153–162.
39.
GuoNLuZLiZ, et al.
Optimized design of women’s graduated compression sports leggings. Text Res J2024; 00405175241267846.
JiangLHaoYZhangLXuJWangX.A model for predicting the similarity between real and virtual t-shirts based on sensory evaluation and image quantitative index evaluation. Text Res J2024;
5(6): 94.
42.
ShiGQShinKChowDHJiaoJLeungK.Influences of compression cycling skinsuit on energy consumption of amateur male cyclists. Text Res J2021;
92(15–16): 004051752110069.
