Derivation of digital twins from high-fidelity simuliations of vulcanizates after multple cyclic loading
Year: 2026
Type: conference-paper
Abstract: Rubber spring and damping elements (RSDE) are frequently employed in industrial vibration-isolation systems such as vibrating conveyors, screening machines, crushers and robotic systems due to their favorable combination of stiffness and damping properties [1], [2], [3]. For vibration system design and optimization, detailed knowledge of cyclic stiffness and damping properties is required. Experimental characterization of every geometry variant is expensive and time consuming, whereas analytical approaches do not adequately capture the highly nonlinear behavior of elastomeric materials. Previous analytical and reduced-order approaches for ROSTA-type systems have been presented by [4], [5], and [6], but their applicability is limited by simplifications regarding material behavior, geometry representation, or cyclic softening effects. Finite element (FE) simulations provide a suitable tool for RSDE analysis and have been successfully applied [7], [8], [9]. However, the computational effort of high-fidelity FE simulations motivates the development of time efficient surrogate models. The present work therefore develops a digital twin of RSDE based on validated high fidelity FE simulations [10], [11], [12]. The objective is to replace computationally expensive simulations with a surrogate model capable of predicting cyclic loading characteristics in real time while preserving the underlying physical behavior. The surrogate model is derived from a statistically designed simulation campaign based on Response Surface Methodology (RSM) [13].
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7204069343