Weaving Octopus: An Assembly–Disassembly-Adaptable Customized Textile Hybrid Prototype
Author(s): |
Ziqi Cui
Siman Zhang Salvatore Viscuso Alessandra Zanelli |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 10 October 2023, n. 10, v. 13 |
Page(s): | 2413 |
DOI: | 10.3390/buildings13102413 |
Abstract: |
As global challenges evolve rapidly, lightweight architecture emerges as an effective and efficient solution to meet rapidly changing needs. Textiles offer flexibility and sustainability, addressing spatial requirements in urban and residential designs, particularly in underutilized areas. This study developed a user-friendly and customizable textile hybrid structure prototype by exploring different weaving methods to find more flexible and adaptable solutions. The research adopts a three-stage process: concept design, parametric simulation prototype, and physical scale-up testing. Methodologies include Finite Element Analysis (FEA) for assessing structural bending and tensile behavior, evolutionary computation for multi-objective optimization, Arduino for enabling interactive dynamic and lighting systems, and a website interface for bespoke decisions. Results revealed a groundbreaking textile hybrid prototype, applicable individually or collectively, with flexible assembly and disassembly in various scenarios. The prototype also offers an eco-friendly, cost-efficient facade renovation solution, enhancing aesthetics and providing shading benefits. The research encompasses interactive lightweight construction design, bending-active textile hybrids, form-finding, circular economy, and mass customization, contributing to advances in lightweight construction design while promoting sustainable practices in textile architecture. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
8.61 MB
- About this
data sheet - Reference-ID
10744463 - Published on:
28/10/2023 - Last updated on:
07/02/2024