Behzad Danaei

Dr. Behzad Danaei


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

View All Publications
14 July 2022 in Journal of Biomechanical Engineering
Verified
Journal Article
Closed access
PDF file
BDBehzad Danaei
Behzad Danaei
John McPheeJohn McPhee
John McPhee
In this paper, a computationally efficient model-based method for determining patient-specific optimal acetabular cup alignment for total hip arthroplasty (THA) is presented. The proposed algorithm minimizes the risk of implant impingement and edge-loading, which are reported as the major causes of hip dislocation following THA. First, by using motion capture data recorded from the patient performing different daily activities, the hip contact force and the relative orientation of the femur and pelvis are calculated by a musculoskeletal model. Then, by defining two quantitative indices, i.e., angular impingement distance and angular edge-loading distance (AED), the risk of impingement and edge-loading are assessed for a wide range of cup alignments. Finally, three optimization criteria are introduced to estimate the optimal cup alignment with a tradeoff between the risk of impingement and edge loading. The results show that patient-specific characteristics such as pelvic tilt could significantly change the optimal cup alignment, especially the value of cup anteversion. Therefore, in some cases, the well-known Lewinnek safe zone may not be optimal, or even safe. Unlike other dynamic model-based methods, in this work, the need for force plate measurements is eliminated by estimating the ground reaction forces and moments, which makes this method more practical and cost-efficient. Furthermore, the low computational complexity due to analytical formulas makes this method suitable for both pre-operative and intra-operative planning.

15 June 2020 in Proceedings
Verified
Conference Paper
Open access
PDF file
BDBehzad Danaei
Behzad Danaei
WMWill McNally
Will McNally
John McPheeJohn McPhee
John McPhee
EHErik Henrikson
Erik Henrikson
In this paper, two simple and physically meaningful adjustments were made to a momentum-based clubhead-ball impact model to predict golf ball launch conditions with better accuracy. These adjustments were motivated by two shortcomings of the momentum-based impact model, namely the absence of shaft effects and golf ball deformation. Kinematic data from a golf impact motion capture experiment was used to empirically determine the parameter adjustments that minimized the ball speed and spin errors. It was found that the original model’s ball speed deficiency could be corrected by adding less than 3 g to the clubhead mass, and the amount of added mass correlated with the mass of the shaft. Additionally, the original model’s backspin and sidespin errors were significantly reduced by making a slight adjustment to the golf ball’s center of mass position relative to the impact location. Specifically, moving the golf ball center of mass approximately 0.5 mm downward and 0.07 mm towards the heel reduced the mean backspin and sidespin errors by approximately 85% each.

24 March 2025 in Multibody System Dynamics
Verified
Journal Article
Closed access
PDF file
BDBehzad Danaei
Behzad Danaei
John McPheeJohn McPhee
John McPhee

1 November 2020
Verified
Conference Paper
Closed access
PKParya Khoshroo
Parya Khoshroo
BDBehzad Danaei
Behzad Danaei
John McPheeJohn McPhee
John McPhee
Jennifer BogerJennifer Boger
Jennifer Boger