Du Dinh-Cong

• Doctor of Philosophy
• Reseacher at Van Lang University

The dynamic condensation method has been recognized as an effective alternative for structural damage identification using spatially-incomplete modal measurements. However, comparative studies of different dynamic condensation techniques applied to the subject of structural damage identification have been scarcely found, especially for composite st...

The framework of parameterized interval analysis (PIA) and optimization and anti-optimization problems (OAP) was recently proposed for considerably reducing or eliminating the overestimation of the interval solution arising in the classical interval analysis. However, reducing the computational effort of this framework still remains a challenging t...

Damage diagnosis in multiferroic composites is essential for energy harvesting systems, where cracking and property degradation significantly impact coupled frequency response and efficiency. This study proposes a multi-field coupled surrogate model for multiphysical damage diagnostics of multiferroic composite plates to address these challenges. T...

Over the past decades, numerous damage diagnosis techniques based on modal flexibility have been studied and developed for various types of structures, but rarely for structures made of functionally graded (FG) materials. This paper aims to present the extensive applicability of a modal flexibility sensitivity-based damage index termed as MFBDI for...

This paper proposes a new Deep Feed-forward Neural Network (DFNN) approach for damage detection in functionally graded carbon nanotube-reinforced composite (FG-CNTRC) plates. In the proposed approach, the DFNN model is developed based on a data set containing 20 000 samples of damage scenarios, obtained via finite element (FE) simulation, of the FG...

The application of multi-objective optimization algorithms in the field of structural damage identification has gained increasing attention in the past few years. Nevertheless, their application to the damage detection problems of composite structures is still very limited. In this regard, the article presents the first attempt to implement a multi...

The article proposes a new efficient two-stage approach for damage localization and quantification in shell structures using a modal flexibility sensitivity-based damage indicator abbreviated as MFBDI and a recently developed parameter-free optimization algorithm named golden ratio optimization method (GROM). In the first stage, the damage indicato...

Modal kinetic energy (MKE)-based feature has been widely employed for the selection of optimal sensor layout; however, its development to the field of structural damage identification has still received less attention. The article hence is performed to fill in this research gap by proposing a two-stage multi-damage detection approach for composite...

Although many existing damage diagnosis techniques based on the combination of optimization algorithms and finite element model updating have been studied and demonstrated to be promising, there are still some limitations that need to be improved to enhance their performance for the large and complex structures. In this regard, the present article...

Structural damage assessment is a challenging problem of study due to lack of information in data measurement and the difficulty of extracting noisy features from the structural responses. Therefore, this paper proposes an effective deep feedforward neural networks (DFNN) method for damage identification of truss structures based on noisy incomplet...

Construction development and greenhouse gas emissions have globally required a strategic management to take some steps to stain and maintain the environment. Nowadays, recycled aggregates, in particular ceramic waste, have been widely used in concrete structures due to the economic and environmentally friendly solution, requiring the knowledge of r...

Modal kinetic energy (MKE) feature has been mostly employed for optimal sensor layout strategies; nevertheless, little attention is paid to use the feature to the field of structural damage detection. The article presents the extensive applicability of MKE change ratio (MKECR), a good damage sensitive parameter, to damage localization and quantific...

This paper proposes an effective integration of the Taguchi method (TM), Adaptive neuro-fuzzy inference system (ANFIS) and Teaching learning-based optimization (TLBO) for CNC turning optimization of S45C carbon steel. The TM plays two main roles: it reduces the number of experiments and identifies the most appropriate membership functions (MFs) and...

In the literature, modal kinetic energy (MKE) has been commonly utilized for optimal sensor placement strategies. However, there have been very few studies on its application to structural damage detection. This paper introduces a new two-stage structural damage assessment method by combining the modal kinetic energy change ratio (MKECR) and symbio...

The present article proposes an efficient method for damage assessment of structures with incomplete and noisy modal data using model reduction method and Lightning Attachment Procedure Optimisation (LAPO) algorithm. The damage identification problem is formulated as an optimisation problem, in which the extent of damaged elements and a combination...

The article presents an effective method for damage assessment of 2D frame structures using incomplete modal data by optimization procedure and model reduction technique. In this proposed method, the structural damage detection problem is defined as an optimization problem, in which a hybrid objective function and the damage severity of all element...

The paper presents an effective two-stage approach based on modal strain energy change and Jaya algorithm for damage assessment in plate-like structures. In the first stage, a newly developed damage indicator, named as normalized modal strain energy-based damage index (nMSEBI), is proposed to help locate potential damage elements more effectively....

The paper proposes a practical two-stage approach for damage assessment in truss structures using noisy modal data collected from a limited number of sensors. In the first stage, a newly developed damage indicator, named here as normalized modal strain energy based damage index (nMSEBI), is proposed to locate effectively potential damage elements....

The paper presents an efficient multi-stage optimization approach for damage detection in plate-like structures. In this approach, the damage identification process is achieved by minimizing an objective function established via flexibility changes of the structure. The vector of design variables represents correspondingly the damage extent of elem...

A Jaya algorithm was recently proposed for solving effectively both constrained and unconstrained optimization problems. In this article, the Jaya algorithm is further extended for solving the optimization-based damage identification problem. In the current optimization problem, the vector of design variables represents the damage extent of element...

This article proposes a two-stage damage identification method to identify the location and extent of multiple damages at individual layers in laminated composite beams. In the first stage, the damage locating vector method using normalized cumulative energy is employed to detect the locations of suspected damaged elements. In the second stage, the...

In this paper, a model strain energy based method and an improved differential evolution algorithm are used to locate and quantify damage on the laminated composite plate. Firstly, the modal strain energy based method is employed to identify a set of potential damaged elements. Then the improved differential evolution algorithm is utilized to minim...