Evidence map›Paper›PMID 40333368›Full record

ArticleMaterials (Basel, Switzerland)2025

Experimental Structural Template on Tensegrity and Textile Architecture Integrating Physical and Digital Approaches.

Zhiyuan Zhang, Salvatore Viscuso, Alessandra Zanelli, Jinghan Chen

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhiyuan ZhangTextilesHUB Research Laboratory, Department of Architecture, Building Environment and Construction Engineering (DABC), Politecnico di Milan, 20133 Milano, Italy.
Salvatore ViscusoTextilesHUB Research Laboratory, Department of Architecture, Building Environment and Construction Engineering (DABC), Politecnico di Milan, 20133 Milano, Italy.ORCID 0000-0003-2681-8719
Alessandra ZanelliTextilesHUB Research Laboratory, Department of Architecture, Building Environment and Construction Engineering (DABC), Politecnico di Milan, 20133 Milano, Italy.
Jinghan ChenTextilesHUB Research Laboratory, Department of Architecture, Building Environment and Construction Engineering (DABC), Politecnico di Milan, 20133 Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The construction industry is a major contributor to global carbon emissions, driving the need for sustainable solutions. Ultra-lightweight structures have emerged as an effective approach to reducing material usage and energy consumption. This study explores the potential of ultra-lightweight architectural systems through a learning-by-doing methodology, integrating innovative composite materials, PolRe, and knitting techniques to enhance tensegrity structures for sustainable, deployable, and efficient structural designs. Combining physical modeling, inspired by Frei Otto and Heinz Isler, with digital simulations using Kangaroo 2 and Python, this research employs form-finding and finite element analysis to validate structural performance. A 1:5 scale prototype was constructed using a manual knitting machine adapted from traditional knitting techniques. The integration of elastic meshes and rigid joints produced modular tensegrity systems that balance tension and compression, creating reversible, deployable, and material-efficient solutions. This study bridges conceptual aesthetics with structural efficiency, providing a template for sustainable, ultra-lightweight, textile-based structures.

Indexed as

form-findingFrei OttoHeinz Islerknittingparametric designphysical modelpolyethylene terephthalaterecycled materialstructural optimizationstructural templatetensegritytextile architectureultra-lightweight structures

Identifiers

PMID40333368
PMCPMC12029049

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.