Citation :

Chandrabhanu Malla, Guofu Chen, Kamalakanta Muduli, Srikanth Bathula, "Quantum-Inspired Digital Twin Modeling for Predicting the Mechanical Performance of Fiber-Reinforced Cement-Stabilized Laterite soils," International Journal of Civil Engineering, vol. 13, no. 9, pp. 159-180, 2026. Crossref, https://doi.org/10.14445/23488352/IJCE-V13I9P109

Abstract

This research introduces a Quantum-Inspired Digital Twin (QIDT) modeling approach to predicting the mechanical behavior of Fiber-Reinforced Cement-Stabilized Laterite Soils (FR-CSS) to overcome the shortcomings of traditional empirical and deterministic models in describing the complex multiscale interactions between Laterite soils, binder and fibres. The suggested digital twin combines laboratory test data in real time with quantum-inspired optimization and probabilistic state-space modeling to simulate the changing mechanical behaviour of stabilised Laterite soils in different curing durations, fibre contents, cement dosages, and stresses. Quantum-inspired algorithms based on such principles as superposition and probabilistic sampling are used to improve the exploration of the parameters, quantification of uncertainties, and efficiency of convergence in predicting important mechanical behaviors, including stiffness modulus, unconfined compressive strength, and the characteristics of deformation. Digital twin constantly recalculates its internal states by data assimilation, allowing it to be adaptively learned and provide better predictions than other machine learning methods and numerical models. The sensitivity analysis shows that the suggested framework effectively models the nonlinear correlation between cement hydration, fiber orientation, and the development of Laterite soil fabrics. The strength, scalability, and ability to generalize of the QIDT model is validated using experimental data. The suggested method is a new and smart decision-support system to design geotechnical, forecast performance, and optimization of sustainable ground improvement systems with fiber-reinforced cement-stabilized Laterite soils.

Keywords

Quantum-inspired algorithms, Digital twin, Mechanical performance, Geotechnical modelling, Fiber-Reinforced Laterite Soils.

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