Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
The design of architected materials with intertwined networks represents a promising avenue for creating structures with unique and programmable mechanical properties. However, a systematic, quantitative framework for prescribing and controlling the underlying fiber topology has remained elusive. This paper introduces a hierarchical computational framework that addresses this challenge by enabling the topology-informed design of intertwined helix-based architected materials and structures. The methodology progresses from an abstract, graph-based representation of port-level connectivity to the precise geometric realization of complex strand-level topologies with prescribed entanglement. We demonstrate the framework’s versatility by generating a wide array of intertwined networks, bridging woven, knotted, and closed-chain topologies, all unified under a single design paradigm. In addition, we present topological metrics that quantitatively capture the intertwining relationships among fibers—providing a valuable tool to map the prescribed design parameters to the resulting structural characteristics. Through a case study of a cubic lattice, we illustrate how the choice of port-level connectivity dictates material allocation and anisotropy, while the strand-level realization provides combinatorial freedom for tailoring specific entanglement patterns. This work establishes the foundation for designing intertwined architected materials, enabling control over topological invariants and providing a tool for exploring the influence of topology on material performance.