Ho Quang Nguyen

Dr. Ho Quang Nguyen


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 July 2020 in Medical & Biological Engineering & Computing
Verified
Journal Article
Closed access
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TNTan-Nhu NGUYEN
Tan-Nhu NGUYEN
VTVi-Do Tran
Vi-Do Tran
HNHo Quang Nguyen
Ho Quang Nguyen
TDTien Tuan Dao
Tien Tuan Dao


11 January 2023 in Engineering Applications of Artificial Intelligence
Verified
Journal Article
Closed access
DNDuc-Phong Nguyen
Duc-Phong Nguyen
PBPaul Berg
Paul Berg
BDBilel Debbabi
Bilel Debbabi
TNTan-Nhu NGUYEN
Tan-Nhu NGUYEN
VTVi-Do Tran
Vi-Do Tran
TDTien Tuan Dao
Tien Tuan Dao

13 January 2022 in Medical & Biological Engineering & Computing
Verified
Journal Article
Closed access
PDF file
TNTan-Nhu NGUYEN
Tan-Nhu NGUYEN
VTVi-Do Tran
Vi-Do Tran
HNHo Quang Nguyen
Ho Quang Nguyen
DNDuc-Phong NGUYEN
Duc-Phong NGUYEN
TDTien Tuan Dao
Tien Tuan Dao

13 May 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
HNHo Quang Nguyen
Ho Quang Nguyen
TNthanh nguyen
thanh nguyen
TPThinh-Quy-Duc Pham
Thinh-Quy-Duc Pham
VNVan Nguyen
Van Nguyen
VTVan-Xuan Tran
Van-Xuan Tran
TDTien Tuan Dao
Tien Tuan Dao
Understanding of fracture mechanics of the human knee structures within total knee replacement (TKR) allows a better decision support for bone fracture prevention. Numerous studies addressed these complex injuries involving the femur bones but the full macro-crack propagation from crack initiation to final failure and age-related effects on the tibia bone were not extensively studied. The present study aimed to develop a patient-specific model of the human tibia bone and the associated TKR implant, to study fatigue and fracture behaviors under physiological and pathological (i.e., age-related effect) conditions. Computed tomography (CT) data were used to develop a patient-specific computational model of the human tibia bone (cortical and cancellous) and associated implants. First, segmentation and 3D-reconstruction of the geometrical models of the tibia and implant were performed. Then, meshes were generated. The locations of crack initiation were identified using the clinical observation and the fatigue crack initiation model. Then, the propagation of the crack in the bone until final failure was investigated using the eXtended finite element method (X-FEM). Finally, the obtained outcomes were analyzed and evaluated to investigate the age-effects on the crack propagation behaviors of the bone. For fatigue crack initiation analysis, the stress amplitude–life S–N curve witnessed a decrease with increasing age. The maximal stress concentration caused by cyclic loading resulted in the weakening of the tibia bone under TKR. For fatigue crack propagation analysis, regarding simulation with the implant, the stress intensity factor and the energy release rate tended to decrease, as compared to the tibia model without the implant, from 0.15  ÷ 2.5 to 0.11 ÷ 1.9 (MPam) and from 10 ÷ 240 to 5 ÷ 133 (Jm−2), respectively. This led to the drop in crack propagation speed. This study provided, for the first time, a detailed view on the full crack path from crack initiation to final failure of the tibia bone within the TKR implant. The obtained outcomes also suggested that age (i.e., bone strength) also plays an important role in tibia crack and bone fracture. In perspective, patient-specific bone properties and dynamic loadings (e.g., during walking or running) are incorporated to provide objective and quantitative indicators for crack and fracture prevention, during daily activities.

28 February 2023
Verified
Book Chapter
Closed access
PDF file
TATran Tuan Anh
Tran Tuan Anh
NTNguyen Thanh Tan
Nguyen Thanh Tan
TLThan Le
Than Le
CLChi-Hieu Le
Chi-Hieu Le
Jamaluddin MahmudJamaluddin Mahmud
Jamaluddin Mahmud
HNHo Quang Nguyen
Ho Quang Nguyen