The breasts are mainly fatty and connective tissues with no muscles that directly support them, so wearing sports bras is one of the most effective means of alleviating the discomfort of breast movement and potential injury during vigorous physical exercise. However, the design and development processes of traditional sports bras are time-consuming and costly. Hence, a novel method of simulating the static contact pressure between a sports bra and women’s body based on the finite element (FE) and artificial neural network (ANN) models is developed in this study to contribute to the design considerations of sports bras.,Three-dimensional FE models of a female subject and sports bras with different fabric properties are developed to determine the amount of contact pressure exerted onto the body. The FE results are then verified by measuring the amount of pressure exerted by the sports bra on the skin with pressure sensors. The Taguchi technique is used to effectively reduce the number of trials from 625 to only 25 cases. These 25 results obtained through FE modelling are then used to provide the training set for the ANNs. Finally, a comparison between the FE and ANN results is carried out.,A novel model of the static contact pressure between a sports bra and human subject based on the FE and ANN methods is presented in this paper. The root mean square error values show that there is only a small difference between the FE and ANN results.,The ANN function established in this study can be used to predict the mechanical behaviours of breasts and has a fundamental impact on the computer-aided design of functional garments in general.

中文翻译：

---

运动胸罩-身体相互作用的计算建模方法

乳房主要是脂肪和结缔组织，没有肌肉直接支撑，所以穿运动文胸是缓解剧烈运动时乳房运动不适和潜在伤害的最有效手段之一。然而，传统运动胸罩的设计和开发过程耗时且成本高。因此，本研究开发了一种基于有限元 (FE) 和人工神经网络 (ANN) 模型的模拟运动胸罩和女性身体之间静态接触压力的新方法，以促进运动胸罩的设计考虑。开发了女性受试者和具有不同织物特性的运动胸罩的三维有限元模型，以确定施加在身体上的接触压力量。然后通过使用压力传感器测量运动胸罩施加在皮肤上的压力量来验证 FE 结果。田口技术用于有效地将试验数量从 625 个减少到仅 25 个案例。然后使用通过有限元建模获得的这 25 个结果为 ANN 提供训练集。最后,对有限元和人工神经网络的结果进行了比较。,本文提出了一种基于有限元和人工神经网络方法的运动胸罩与人体静态接触压力的新模型。均方根误差值表明FE和ANN结果之间只有很小的差异。,本研究建立的ANN函数可用于预测乳房的力学行为，对计算机辅助设计有根本​​影响一般功能性服装。