3PB-analyzer: A python-based tool for automated three-point bending analysis

This paper presents 3PB-Analyzer, an open-source Python-based software tool developed to simplify and enhance the analysis of three-point bending test data. Three-point bending is a widely used experimental method for evaluating the mechanical properties of materials, such as stiffness, strength, and fracture toughness. In biomechanics, it plays a crucial role in assessing bone quality, understanding the impact of diseases or treatments, and studying material behavior under loading conditions. Despite its significance, many existing data analysis tools are limited in accuracy, flexibility, and ease of use. 3PB-Analyzer addresses these challenges by automating key steps, including locating and importing raw CSV files, generating load-displacement scatter plots, and performing linear regression analysis to calculate critical parameters such as stiffness, yield force, post-yield displacement, and work-to-fracture. Designed for researchers with or without programming expertise, the tool features an intuitive graphical user interface (GUI) that ensures accessibility and ease of operation. Although tailored for bone biomechanics, the 3PB‑Analyzer can be applied to three‑point bending experiments on any material and is fully compatible with four‑point bending tests as well. By combining precision, automation, and versatility, this tool enables researchers to streamline data processing, improve analytical accuracy, and enhance the reproducibility of their results, making it a valuable resource across multiple disciplines.

Authors

Institutions

Publication Details

Journal
SoftwareX
Published
2025-05-01
DOI
https://doi.org/10.1016/j.softx.2025.102177
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3PB-analyzer: A python-based tool for automated three-point bending analysis

Rui Cheng, Yutao He, Bin Wang, Xingjun Fan et al.
SoftwareX
Metal Forming Simulation Techniques
article

3PB-analyzer: A python-based tool for automated three-point bending analysis

Rui Cheng, Yutao He, Bin Wang, Xingjun Fan, Xi Li
article en

Abstract

This paper presents 3PB-Analyzer, an open-source Python-based software tool developed to simplify and enhance the analysis of three-point bending test data. Three-point bending is a widely used experimental method for evaluating the mechanical properties of materials, such as stiffness, strength, and fracture toughness. In biomechanics, it plays a crucial role in assessing bone quality, understanding the impact of diseases or treatments, and studying material behavior under loading conditions. Despite its significance, many existing data analysis tools are limited in accuracy, flexibility, and ease of use. 3PB-Analyzer addresses these challenges by automating key steps, including locating and importing raw CSV files, generating load-displacement scatter plots, and performing linear regression analysis to calculate critical parameters such as stiffness, yield force, post-yield displacement, and work-to-fracture. Designed for researchers with or without programming expertise, the tool features an intuitive graphical user interface (GUI) that ensures accessibility and ease of operation. Although tailored for bone biomechanics, the 3PB‑Analyzer can be applied to three‑point bending experiments on any material and is fully compatible with four‑point bending tests as well. By combining precision, automation, and versatility, this tool enables researchers to streamline data processing, improve analytical accuracy, and enhance the reproducibility of their results, making it a valuable resource across multiple disciplines.

SoftwareXVol. 30
Chongqing Medical University (CN)
Openalex Percentile: Top 91%
Metal Forming Simulation 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.

3PB-analyzer: A python-based tool for automated three-point bending analysis — Rui Cheng, Yutao He, et al. · SoftwareX (2025) | TGRS Research Map | TGRS