Mechanical performance evaluation of science museum seating systems using FEM

This paper explores the structural design and material application of seating systems in science museums, focusing on safety and ergonomic comfort. To address the requirements of modern exhibition environments, the study employs finite element analysis (FEA) and body pressure distribution experiments to evaluate the mechanical performance and user comfort of four distinct seat structures and materials: polyurethane, polyester fiber, polypropylene foam, and memory foam. The investigation analyzes their effects on stress distribution, strain, and pressure relief. Results indicate that while structural design is critical for ensuring uniform stress distribution, material properties primarily dictate comfort and pressure alleviation. Specifically, memory foam and polyurethane demonstrate the optimal balance between comfort and load-bearing capacity, whereas polypropylene presents risks of localized stress concentration. Consequently, the study proposes a "structural optimization coupled with material matching" strategy, utilizing rigid materials for load-bearing and flexible materials for comfort interface. These findings provide practical guidance for the engineering design and material selection of public seating in science museums.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-05-09
DOI
https://doi.org/10.1038/s41598-026-51903-2
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanical performance evaluation of science museum seating systems using FEM

Tiantian Zhang, Min Gao, Keyang Liu, Xueqi Lin et al.
Scientific Reports
Ergonomics and Musculoskeletal Disorders
article

Mechanical performance evaluation of science museum seating systems using FEM

Tiantian Zhang, Min Gao, Keyang Liu, Xueqi Lin, Xinchen Guo, Quanbao Gao, Kai Shang, Yang Gao, Luyao Xiang
article en

Abstract

This paper explores the structural design and material application of seating systems in science museums, focusing on safety and ergonomic comfort. To address the requirements of modern exhibition environments, the study employs finite element analysis (FEA) and body pressure distribution experiments to evaluate the mechanical performance and user comfort of four distinct seat structures and materials: polyurethane, polyester fiber, polypropylene foam, and memory foam. The investigation analyzes their effects on stress distribution, strain, and pressure relief. Results indicate that while structural design is critical for ensuring uniform stress distribution, material properties primarily dictate comfort and pressure alleviation. Specifically, memory foam and polyurethane demonstrate the optimal balance between comfort and load-bearing capacity, whereas polypropylene presents risks of localized stress concentration. Consequently, the study proposes a "structural optimization coupled with material matching" strategy, utilizing rigid materials for load-bearing and flexible materials for comfort interface. These findings provide practical guidance for the engineering design and material selection of public seating in science museums.

Scientific Reports
Beijing Forestry University (CN), UNSW Sydney (AU), Shandong Jiaotong University (CN), China Research Institute for Science Popularization (CN), Chengdu Normal University (CN), China State Construction Engineering (China) (CN), Sichuan Normal University (CN)
Natural Science Foundation of Sichuan Province
Sustainable cities and communities
Openalex Percentile: Top 4%
Ergonomics and Musculoskeletal Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.