Research on Stair Wear of Ancient Building

Delun  Li; Hao Wen; Jinyang  Xu; Changyue  Li

doi:10.54254/2755-2721/2025.24448

Applied and Computational EngineeringOpen access

Research on Stair Wear of Ancient Building

Research Article

Open Access

Research on Stair Wear of Ancient Building

Delun Li ^1* Hao Wen ², Jinyang Xu ³, Changyue Li ⁴

¹ College of Science, Shenyang Aerospace University, Liaoning, Shenyang, 110136, China

² College of Science, Shenyang Aerospace University, Liaoning, Shenyang, 110136, China

³ College of Science, Shenyang Aerospace University, Liaoning, Shenyang, 110136, China

⁴ College of Science, Shenyang Aerospace University, Liaoning, Shenyang, 110136, China

^*Corresponding author: lidelun0108@163.com

Published on 27 June 2025

ACE Vol.171

ISSN (Print): 2755-273X

ISSN (Online): 2755-2721

ISBN (Print): 978-1-80590-219-5

ISBN (Online): 978-1-80590-220-1

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Abstract

This paper focuses on the research of ancient building staircases, developing multiple models for wear analysis and traffic flow prediction. Firstly, relevant data on wear and traffic flow are collected, including material properties, surface conditions, and the number of staircase users. Model I is based on material mechanics and surface wear theory, constructing W = f (F, D, M) to examine the degree of wear; Model II combines LWR traffic flow and queuing theory, constructing Q = g(ρ, v, lq, tq) to analyze traffic flow; Model III is a PSO model that improves the first two, using the mean square error between predicted and actual data as the fitness function. The results show that the staircase wear model has good explanatory power, the traffic flow model has a high accuracy rate during peak and off-peak hours, and the mean square error of the combined model after PSO optimization is reduced by 30%, with improved fitting performance, providing an important reference for the maintenance, protection, and usage planning of ancient building staircases.

Keywords:

Wear and tear, Flow of people, PSO Particle swarm optimization.

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References

[1]. Yue Jie. A Preliminary Study on the Expressiveness of the Staircase in the Michelangelo Laurenziana Library [J]. China Water Transport (Lower Half), 2009, 9 (06): 249-250.

[2]. Zhang Zhang. The Design of Shopping Mall Circulation Lines [M]. China Architecture & Building Press, 2017.

[3]. Yang Lizhong. The Movement Laws of People in Buildings and Evacuation Dynamics [M]. Science Press, 2012.

[4]. Kennedy J, Eberhart R C. Particle swarm optimization [C]//Proceedings of ICNN'95 - International Conference on Neural Networks. IEEE, 1995, 4 (1942 - 1948): 1942 - 1948.

[5]. Li X, Yao X. Evolutionary particle swarm optimizer with neighborhood - based topology [J]. IEEE Transactions on Evolutionary Computation, 2004, 8 (3): 204 - 212.

References

[1]. Yue Jie. A Preliminary Study on the Expressiveness of the Staircase in the Michelangelo Laurenziana Library [J]. China Water Transport (Lower Half), 2009, 9 (06): 249-250.

[2]. Zhang Zhang. The Design of Shopping Mall Circulation Lines [M]. China Architecture & Building Press, 2017.

[3]. Yang Lizhong. The Movement Laws of People in Buildings and Evacuation Dynamics [M]. Science Press, 2012.

[4]. Kennedy J, Eberhart R C. Particle swarm optimization [C]//Proceedings of ICNN'95 - International Conference on Neural Networks. IEEE, 1995, 4 (1942 - 1948): 1942 - 1948.

[5]. Li X, Yao X. Evolutionary particle swarm optimizer with neighborhood - based topology [J]. IEEE Transactions on Evolutionary Computation, 2004, 8 (3): 204 - 212.

Cite this article

Li,D.;Wen,H.;Xu,J.;Li,C. (2025). Research on Stair Wear of Ancient Building. Applied and Computational Engineering,171,1-15.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of the 3rd International Conference on Functional Materials and Civil Engineering

ISBN: 978-1-80590-219-5(Print) / 978-1-80590-220-1(Online)

Editor: Anil Fernando

Conference website: https://2025.conffmce.org/

Conference date: 24 October 2025

Series: Applied and Computational Engineering

Volume number: Vol.171

ISSN: 2755-2721(Print) / 2755-273X(Online)

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