Digital Transformation in Structural Engineering: Integrating Peridynamic Modelling for Smart Damage Assessment

Nurul Hajjah binti Ahmad Bakhari; H. N. Yakin; N. A. Hashim; F. Fisol; M. N. Mastor; Q. Halim

doi:10.58915/aset.v5i1.3215

Authors

Nurul Hajjah binti Ahmad Bakhari Universiti Malaysia Perlis
H. N. Yakin Universiti Teknologi Malaysia
N. A. Hashim Universiti Malaysia Perlis
F. Fisol Universiti Teknologi Malaysia
M. N. Mastor Universiti Teknologi Malaysia
Q. Halim MRANTI Corporation Sdn. Bhd.

DOI:

https://doi.org/10.58915/aset.v5i1.3215

Keywords:

Computational Mechanics, Damage Assessment, Digital Twin, Peridynamics, Structural Health Monitoring

Abstract

Digitalization in construction, known as Construction 4.0, depends on high-fidelity Digital Twins (DT). Current DT models are good at showing geometry and data. However, they struggle to simulate real-time structural failure and complex cracks using physics. This paper introduces a new framework that adds Peridynamic (PD) theory to smart damage assessment. Traditional methods like the Finite Element Method (FEM) have limitations, often struggling with mathematical errors at the tip of a crack. In contrast, Peridynamics uses an integral-based formula that works perfectly even where the material is broken. This study shows how a PD-driven Digital Twin uses sensor data to predict exactly how cracks will grow. This allows us to calculate the Remaining Useful Life (RUL) with higher accuracy. This research successfully connects advanced mechanics with data-driven Structural Health Monitoring (SHM).

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