Joint identification of elastic modulus and cross-sectional area for truss structures via gradient regularization method

For a truss structure, the most common damage manifestation is the reduction of elastic modulus due to the degradation of material properties and the reduction of effective cross-sectional area caused by corrosion, etc. Based on the single parameter identification gradient regularization method (GRM), this paper proposes an elastic modulus and cross-sectional area dual-parameter joint identification method. Firstly, a mathematical and physical model for dual-parameter joint identification is constructed, followed by the derivation of the solution formula for dual-parameter identification based on GRM and the development of a general finite element solution program using MATLAB. A series of numerical simulation experiments are conducted. The results of which show that the identification results under different working conditions are in good agreement with the actual design parameters, and the solution precision can be as low as 10-7 with less than 10 iterations, and the error is below 4% under 12% measurement noise. The method is further applied to a steel truss experimental model, the results of which furtherly demonstrate the high accuracy and robustness of the method.

Authors

Publication Details

Journal
Edinburgh Napier Research Repository (Edinburgh Napier University)
Published
2026-03-11
DOI
https://doi.org/10.12989/sss.2026.37.0.000
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Joint identification of elastic modulus and cross-sectional area for truss structures via gradient regularization method

B.F. Spencer, Hexin Zhang, Ao Zhou, Yuxin Zhang et al.
Edinburgh Napier Research Repository (Edinburgh Napier University)
Structural Health Monitoring Techniques
article

Joint identification of elastic modulus and cross-sectional area for truss structures via gradient regularization method

B.F. Spencer, Hexin Zhang, Ao Zhou, Yuxin Zhang, Jiacheng Zhang
article en

Abstract

For a truss structure, the most common damage manifestation is the reduction of elastic modulus due to the degradation of material properties and the reduction of effective cross-sectional area caused by corrosion, etc. Based on the single parameter identification gradient regularization method (GRM), this paper proposes an elastic modulus and cross-sectional area dual-parameter joint identification method. Firstly, a mathematical and physical model for dual-parameter joint identification is constructed, followed by the derivation of the solution formula for dual-parameter identification based on GRM and the development of a general finite element solution program using MATLAB. A series of numerical simulation experiments are conducted. The results of which show that the identification results under different working conditions are in good agreement with the actual design parameters, and the solution precision can be as low as 10-7 with less than 10 iterations, and the error is below 4% under 12% measurement noise. The method is further applied to a steel truss experimental model, the results of which furtherly demonstrate the high accuracy and robustness of the method.

Edinburgh Napier Research Repository (Edinburgh Napier University)
Sustainable cities and communities
Openalex Percentile: Top 24%
Structural Health Monitoring Techniques
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.