NATURE AS INPUT: A FRAMEWORK FOR DEFINING BIOINSPIRED INPUT PARAMETERS IN TOPOLOGICAL OPTIMISATION.

Saved in:
Bibliographic Details
Title: NATURE AS INPUT: A FRAMEWORK FOR DEFINING BIOINSPIRED INPUT PARAMETERS IN TOPOLOGICAL OPTIMISATION.
Authors: Rešetar, Marija1, Valjak, Filip2 fvaljak@arhitekt.hr, Bojčetić, Nenad1, Kuhar, Miroslav3
Source: Transactions of FAMENA. 2026, Vol. 50 Issue 2, p101-111. 11p.
Subjects: Biomimetics, Structural optimization, Mathematical optimization, Design techniques
Abstract: This paper presents a novel approach to the integration of biological inspiration into topological optimisation through the specification of input parameters derived from nature. The aim is to create biomimetic designs that may incorporate the multifunctionality inherent in natural systems. The presented methodology for modelling bioinspired structures using topological optimisation provides critical insights into translating natural forms and their load-bearing characteristics into topological optimisation design parameters (design space, boundary conditions, and loads). The proposed BioTop method is a structured framework that guides designers through a design-to-biology approach for conducting truly bioinspired topological optimisation by systematically defining the required inputs. An illustrative case study demonstrates the practical application of the BioTop method and its capacity to create bioinspired topologically optimised structures. While acknowledging current simplifications, this research lays a foundation for future research in bioinspired design by providing a systematic method for using nature as an informed input source for the standard topological optimisation software. [ABSTRACT FROM AUTHOR]
Copyright of Transactions of FAMENA is the property of Faculty of Mechanical Engineering and Naval Architecture, University of Zegreb and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:This paper presents a novel approach to the integration of biological inspiration into topological optimisation through the specification of input parameters derived from nature. The aim is to create biomimetic designs that may incorporate the multifunctionality inherent in natural systems. The presented methodology for modelling bioinspired structures using topological optimisation provides critical insights into translating natural forms and their load-bearing characteristics into topological optimisation design parameters (design space, boundary conditions, and loads). The proposed BioTop method is a structured framework that guides designers through a design-to-biology approach for conducting truly bioinspired topological optimisation by systematically defining the required inputs. An illustrative case study demonstrates the practical application of the BioTop method and its capacity to create bioinspired topologically optimised structures. While acknowledging current simplifications, this research lays a foundation for future research in bioinspired design by providing a systematic method for using nature as an informed input source for the standard topological optimisation software. [ABSTRACT FROM AUTHOR]
ISSN:13331124
DOI:10.21278/TOF.502079925