A Novel Approach to Optimal Strain Gauge Placement for Structural Assessment: Integrating Looping Configurations with Calibration Techniques

Format:

Book

Conference/Event

Author/Creator:

Shingate, Uttam, author.

Contributor:

Deshpande, Onkar

Yadav, Dnyaneshwar

Conference Name:

Symposium on International Automotive Technology (2026) (2026-01-28 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2026

Summary:

Addressing the challenge of optimal strain gauge placement on complex structural joints and pipes, this research introduces a novel methodology combining strategic gauge configurations with numerical optimization techniques. Traditional methods often struggle to accurately capture combined loading states and real-world complexities, leading to measurement errors and flawed structural assessments [9].For intricate joints, a looping strain gauge configuration is proposed to comprehensively capture both bending and torsional effects, preventing the bypassing of applied loads. A calibration technique is used to create strain distribution matrices and access structural behavior under different loading conditions. Optimization algorithms are then applied to identify gauge placements that yield well-conditioned matrices, minimizing measurement errors and enhancing data reliability. This approach offers a cost-effective solution by reducing the number of gauges required for accurate stress characterization.This concept is extended to both round and complex-shaped pipes to improve fatigue damage prediction using Road Load Data Acquisition (RLDA). The approach addresses geometric complexities and simulates strain behavior under diverse loading scenarios. The optimization focuses on maximizing strain sensitivity in critical regions, minimizing errors, and ensuring robust strain representation while considering RLDA constraints.The unique contribution lies in directly linking optimized strain gauge placement with improved damage calculation. By integrating RLDA, optimized configurations are tested under actual operating conditions, validating numerical models and assessing damage accumulation based on measured strain data. This leads to more realistic damage predictions compared to simplified loading assumptions. The findings demonstrate that optimized placement significantly enhances damage calculation accuracy, crucial for industries like oil and gas, aerospace, and infrastructure monitoring, where RLDA provides valuable insights into real-world loading

Notes:

Vendor supplied data

Publisher Number:

2026-26-0551

Access Restriction:

Restricted for use by site license