Reconstruction of impact load on structures with limited measurements using dynamic hybrid adaptive differential search algorithm

Abstract

In this paper, we present an approach for reconstruction of an impact load time history on structures by formulating the associated inverse analysis as a constraint optimization problem by minimizing the error between measured data and predicted data obtained from the forward analysis. The identification process is carried out by solving the formulated constraint optimization problem associated with the inverse analysis of impact load reconstruction. A newly developed hybrid adaptive differential search with dynamic interaction is employed for solving the complex constrained nonlinear multimodal optimization problem. The proposed variant of the differential search technique employs small multiple populations which perform the search independently and exchange the information with the dynamic neighbourhood. The adaptive features and local search ability features are built into the algorithm in order to improve the convergence characteristics of the technique. The constraint optimization formulations can considerably improve the robustness of the inverse problem associated with reconstruction of the impact load. Numerical simulation studies presented to demonstrate the effectiveness of the proposed approach indicate that it can precisely identify the spatial location of the impact load on the structure as well as the impact load time history even in the presence of measurement noise.

KEYWORDS:

• Structural health monitoring
• impact load
• constrained optimization
• dynamic hybrid adaptive differential search algorithm
• principal component analysis
• Nelder-Mead algorithm
• optimal sensor placement

Acknowledgement

This paper is being published with the permission of Director, CSIR-Structural Engineering Research Centre, Taramani, Chennai.

Disclosure statement

No potential conflict of interest was reported by the authors.